{ "data": { "a": { "slug": "deepseek-v4-flash-0731", "name": "DeepSeek-V4-Flash-0731", "vendor": "DeepSeek", "vendorUrl": "https://www.deepseek.com", "kind": "weights", "category": "open-weights", "summary": "DeepSeek-V4-Flash-0731 is the 31 July 2026 release of DeepSeek's V4 Flash, a mixture-of-experts text model with 284B parameters, 13B active and a 1M-token context, under MIT. DeepSeek's API retired V4 Flash on 10 September 2026.", "url": "https://www.anchorterminal.com/tools/deepseek-v4-flash-0731", "markdownUrl": "https://www.anchorterminal.com/tools/deepseek-v4-flash-0731.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepseek-v4-flash-0731.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepseek-v4-flash-0731.json", "dns": "deepseek-v4-flash-0731.grade.anchorterminal.com", "repo": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731", "license": "MIT", "transports": [], "packages": [ { "registry": "huggingface", "name": "deepseek-ai/DeepSeek-V4-Flash-0731" } ], "auth": "none", "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. The repository isn't gated (checked 2026-10-21).", "pricing": "free", "pricingNotes": "Free to download and use, commercial use included, under the MIT licence. DeepSeek's API retired V4 Flash on 10 September 2026 and routes its old names to V4.1 Flash, so no hosted DeepSeek endpoint serves these weights. Running them yourself costs the hardware, 166.9 GB of files (checked 2026-10-21).", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "Weights you download and run yourself, so there is nothing to pay per call and no payment protocol (checked 2026-10-21).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-02" }, "docsUrl": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731", "capabilities": [ "model.open-weights" ], "tags": [ "open-weights", "model", "moe", "reasoning", "tool-calling", "long-context", "mit", "safetensors", "fp8", "fp4", "self-hosted", "new" ], "lastRelease": "2026-07-31", "graded": true, "anchor": { "graded": true, "score": 61.9, "grade": "C", "agentReady": false, "rank": 0, "ranked": false, "notRankedWhy": "An open-weight model, graded by the open-weight checklist and ranked among open-weight models, not against tools", "rankOf": 1518, "categoryRank": 24, "methodology": "0.7", "run": "2026-10-01", "scores": { "capability": 66, "interface": 75, "reach": 70, "risk": 50, "upkeep": 38 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-11-02" }, "negative": 0, "verdict": "A long-context agent cousin under MIT with documented tool calls, three reasoning effort levels and support in every major runtime but Ollama. It needs about 190 to 200 GB of memory, though five inference providers serve it. The main risks are prompts built from DeepSeek's Python, no published safety results and no answers in its repository.", "bestFor": "Agents or teams with a multi-GPU server, or a provider account, who want DeepSeek's V4 agent model under MIT with a 1M context", "strengths": [ "MIT licence with nothing added, downloadable with no account", "1M tokens of context trained in", "Runs in vLLM, SGLang, llama.cpp, Transformers and LM Studio from released versions", "Parallel tool calls in a documented DSML format, with reasoning off or at three effort levels", "Five live inference providers on Hugging Face for agents without the hardware", "Safetensors only, with a SHA-256 on every shard" ], "weaknesses": [ "The smallest 4-bit build is 156.4 GB, so it needs about 188 GB and doesn't fit a 128 GB machine", "No Jinja template, so prompts come from running DeepSeek's encoding code or a runtime's own encoder", "No safety evaluation or agent-use guidance published, and only a company-wide security address", "DeepSeek hasn't replied to any of the 61 discussions, including reports of tool-call errors", "The card lacks intended use, limitations, languages and a knowledge cut-off" ], "agentNotes": [ "vllm serve deepseek-ai/DeepSeek-V4-Flash-0731 --trust-remote-code --kv-cache-dtype fp8 --block-size 256 --data-parallel-size 4 --enable-expert-parallel --moe-backend deep_gemm_mega_moe --attention-config '{\"use_fp4_indexer_cache\": true}' --speculative-config '{\"method\":\"dspark\",\"num_speculative_tokens\":7,\"draft_sample_method\":\"greedy\"}' --tokenizer-mode deepseek_v4 --tool-call-parser deepseek_v4 --enable-auto-tool-choice --reasoning-parser deepseek_v4 (the card's 4x GB300 example plus the parser flags from vLLM's recipe)", "Build prompts with encoding_dsv4.py, deepseek-recipe's V4 encoder or vLLM's --tokenizer-mode deepseek_v4, since the repository has no Jinja template", "Tool calls come back in a DSML tool_calls block with invoke elements, string parameters carry string=\"true\" and JSON values string=\"false\"", "Set temperature 1.0 and top_p 0.95 for agent work, and allow up to 384K output tokens at reasoning effort high or max", "Without the hardware, call it through a Hugging Face inference provider (DeepInfra, Novita, Baseten, Scaleway, Featherless), not DeepSeek's API, where deepseek-v4-flash now means V4.1 Flash", "LM Studio's library build is a 156.4 GB MXFP4 GGUF and LM Studio states 156 GB minimum system memory" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61.9 } ], "editorialScores": { "capability": 66, "interface": 75, "reach": 70, "risk": 50, "upkeep": 38 }, "provenanceScore": 75, "checked": { "categories": { "capability": "2026-11-02", "interface": "2026-11-02", "reach": "2026-11-02", "risk": "2026-11-02", "upkeep": "2026-11-02" }, "last": "2026-11-02", "lastMoved": "2026-11-02", "oldest": "2026-11-02", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "# From DeepSeek's card (one 4x GB300 node). Add vLLM's --tokenizer-mode deepseek_v4 --tool-call-parser deepseek_v4 --enable-auto-tool-choice --reasoning-parser deepseek_v4 for tool calls\nvllm serve deepseek-ai/DeepSeek-V4-Flash-0731 \\\n --trust-remote-code --kv-cache-dtype fp8 --block-size 256 \\\n --data-parallel-size 4 --enable-expert-parallel \\\n --moe-backend deep_gemm_mega_moe \\\n --attention-config '{\"use_fp4_indexer_cache\": true}' \\\n --speculative-config '{\"method\":\"dspark\",\"num_speculative_tokens\":7,\"draft_sample_method\":\"greedy\"}'\n# or, with llama.cpp and llama.cpp's own GGUF:\nllama-server -hf ggml-org/DeepSeek-V4-Flash-0731-GGUF:MXFP4 --jinja" }, "letme": { "capability": "https://letme.dev/model.open-weights", "tool": "https://letme.dev/deepseek-v4-flash-0731" }, "sameCompany": [ "deepseek-api", "deepseek-search-api", "deepseek-ocr-2", "deepseek-v4-1-flash", "deepseek-v3-2" ], "weights": { "trainedBy": "DeepSeek", "params": "284B", "active": "13B", "context": 1048576, "goodFor": "Text model for agents and long documents, with thinking or chat mode, reasoning effort and tool calls in DSML tags.", "runtimes": [ "llama.cpp", "vLLM", "SGLang", "LM Studio", "Transformers" ], "builds": [ { "name": "ggml-org DeepSeek-V4-Flash-0731-GGUF (MXFP4)", "url": "https://huggingface.co/ggml-org/DeepSeek-V4-Flash-0731-GGUF", "who": "llama.cpp", "precision": "mxfp4", "sizeGB": 154.99, "memoryGB": 192, "format": "gguf", "runsOn": [ "llama.cpp" ], "note": "From ggml-org, the llama.cpp project's organisation. 154.99 GB of MXFP4 weights, from the Hub's model information on 10 November 2026. The 2-bit files (Q2_K 117.3 GB, Q2_K_S 98.6 GB) are below the 4-bit line and aren't listed. Recorded after the last grading, so Reach doesn't count it yet" }, { "name": "DeepSeek-V4-Flash-0731", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731", "who": "publisher", "precision": "fp8+fp4", "sizeGB": 166.9, "memoryGB": 256, "format": "safetensors", "note": "MoE experts in FP4, most other weights FP8; the only build DeepSeek publishes" } ], "run": "vllm serve deepseek-ai/DeepSeek-V4-Flash-0731 --trust-remote-code --kv-cache-dtype fp8 --block-size 256 --data-parallel-size 4 --enable-expert-parallel --moe-backend deep_gemm_mega_moe --attention-config '{\"use_fp4_indexer_cache\": true}' --speculative-config '{\"method\":\"dspark\",\"num_speculative_tokens\":7,\"draft_sample_method\":\"greedy\"}' --tokenizer-mode deepseek_v4 --tool-call-parser deepseek_v4 --enable-auto-tool-choice --reasoning-parser deepseek_v4", "runBuild": "DeepSeek-V4-Flash-0731", "checked": "2026-10-21", "minMemoryGB": 192 }, "family": { "lab": "DeepSeek", "family": "DeepSeek V4", "url": "https://www.anchorterminal.com/open-weights/#deepseek", "others": [ { "name": "DeepSeek-V4-Flash-Base", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Base", "params": "284B total, 13B activated" }, { "name": "DeepSeek-V4-Flash", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash", "params": "284B total, 13B activated" }, { "name": "DeepSeek-V4-Flash-DSpark", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-DSpark", "params": "284B total, 13B activated" }, { "name": "DeepSeek-V4-Flash-Vision-Exp", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-Vision-Exp", "params": "not stated on card" }, { "name": "DeepSeek-V4-Pro-Base", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-Base", "params": "1.6T total, 49B activated" }, { "name": "DeepSeek-V4-Pro", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro", "params": "1.6T total, 49B activated" }, { "name": "DeepSeek-V4-Pro-DSpark", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-DSpark", "params": "1.6T total, 49B activated" }, { "name": "DeepSeek-V4-Pro-0813", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro-0813", "params": "1.6T total, 49B activated (V4-Pro figures; the 0813 card does not restate them)" }, { "name": "DeepSeek-V4.1-Flash", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash", "params": "552B backbone, 8B activated in prefill / 16B in decode", "listing": "https://www.anchorterminal.com/tools/deepseek-v4-1-flash" }, { "name": "DeepSeek-V4.1-Flash-1017", "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017", "params": "552B backbone, 8B / 16B activated (V4.1-Flash figures; not restated)", "listing": "https://www.anchorterminal.com/tools/deepseek-v4-1-flash" } ], "olderCount": 72, "unrestrictedCopies": 5 }, "area": "models", "provenance": { "legalEntity": "DeepSeek (the MIT licence names DeepSeek, and DeepSeek's platform terms name Hangzhou DeepSeek Artificial Intelligence Co., Ltd.)", "domain": "deepseek.com", "domainRegistered": "2000-08-13", "domainNote": "deepseek.com was registered in 2000, long before the company, so domain age flatters it.", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731/commits/main", "securityTxt": "none", "checked": "2026-10-21", "notes": [ "The legal entity is the one DeepSeek's platform terms name, read for the deepseek-api listing. The weights' licence names only DeepSeek.", "Nothing is hosted, so the MIT licence stands in for terms of service and no privacy policy is scored.", "The changelog is the repository's commit history, four commits from 31 July to 1 August 2026 (the release and a card edit adding the SGLang cookbook).", "deepseek.com/.well-known/security.txt and www.deepseek.com/.well-known/security.txt answered 404 on 21 October 2026.", "DeepSeek's site footer has a Report Security Issue link to security@deepseek.com, a company-wide address, read from https://www.deepseek.com/en/transparency/ on 21 October 2026." ], "score": 75 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/deepseek-v4-flash-0731.json", "live": { "slug": "deepseek-v4-flash-0731", "securityTxt": { "url": "https://deepseek.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-10T16:07:51.938889615Z" }, "domain": { "domain": "deepseek.com", "registered": "2000-08-13", "source": "https://rdap.verisign.com/com/v1/domain/deepseek.com", "checkedAt": "2026-11-08T14:52:49.217816183Z" }, "pages": [ { "url": "https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash-0731/commits/main", "kind": "changelog", "status": 200, "checkedAt": "2026-11-10T16:22:28.560002209Z", "changedAt": "2026-11-10T16:22:28.560002209Z", "fingerprint": "d68af396a249" } ], "updatedAt": "2026-11-10T16:22:28.560002209Z" } }, "answer": "DeepSeek-V4-Flash-0731 and Nanbeige4.2-3B score within a point of each other on agent readiness, 61.9 (C) and 61 (C). Nanbeige4.2-3B leads on reach, risk, agent interface and documentation and upkeep.", "b": { "slug": "nanbeige-4-2-3b", "name": "Nanbeige4.2-3B", "vendor": "Nanbeige LLM Lab (BOSS Zhipin)", "vendorUrl": "https://huggingface.co/Nanbeige", "kind": "weights", "category": "open-weights", "summary": "Nanbeige4.2-3B is a small agent model from BOSS Zhipin's Nanbeige lab, 4.2B parameters with layers reused in a loop, with tool calling, a thinking switch and a 256K context. Apache 2.0. Released SGLang and llama.cpp run it.", "url": "https://www.anchorterminal.com/tools/nanbeige-4-2-3b", "markdownUrl": "https://www.anchorterminal.com/tools/nanbeige-4-2-3b.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/nanbeige-4-2-3b.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/nanbeige-4-2-3b.json", "dns": "nanbeige-4-2-3b.grade.anchorterminal.com", "repo": "https://huggingface.co/Nanbeige/Nanbeige4.2-3B", "license": "Apache-2.0 (Hub metadata only; the repository has no LICENSE file)", "transports": [], "packages": [ { "registry": "huggingface", "name": "Nanbeige/Nanbeige4.2-3B" }, { "registry": "huggingface", "name": "Nanbeige/Nanbeige4.2-3B-FP8" }, { "registry": "huggingface", "name": "Nanbeige/Nanbeige4.2-3B-GPTQ-Int8" } ], "auth": "none", "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. None of the repositories is gated (checked 2026-11-10).", "pricing": "free", "pricingNotes": "Free to download and use under Apache 2.0, per the card's metadata. Running it yourself costs little: 5.2 GB in FP8 or 8-bit from Nanbeige, 8.3 GB in BF16, and 2.7 GB for bartowski's Q4_K_M conversion (checked 2026-11-10).", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "Weights you download and run yourself, so there is nothing to pay per call and no payment protocol (checked 2026-11-10).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-10" }, "docsUrl": "https://huggingface.co/Nanbeige/Nanbeige4.2-3B", "capabilities": [ "model.open-weights" ], "tags": [ "open-weights", "model", "small", "looped-transformer", "reasoning", "tool-calling", "agentic", "long-context", "apache-2.0", "safetensors", "fp8", "custom-code", "self-hosted" ], "lastRelease": "2026-09-11", "graded": true, "anchor": { "graded": true, "score": 61, "grade": "C", "agentReady": false, "rank": 0, "ranked": false, "notRankedWhy": "An open-weight model, graded by the open-weight checklist and ranked among open-weight models, not against tools", "rankOf": 1518, "categoryRank": 62, "methodology": "0.7", "run": "2026-10-01", "scores": { "interface": 85, "reach": 85, "risk": 55, "upkeep": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-11-10" }, "negative": 0, "verdict": "A small model built for agent work, with tool calling it was trained for, a thinking switch and a 256K context in about 5 GB, under Apache 2.0, from a lab that answers most questions. Its architecture is its own, so check your runtime: SGLang and llama.cpp have it, Transformers needs the repository's code, and Nanbeige ships no GGUF.", "bestFor": "Local agents that need tool calling and a long context on a laptop or a small GPU", "strengths": [ "Trained for multi-step tool use, with parsers in released SGLang", "A 256K context in a model that fits 8 GB", "Apache 2.0, ungated", "FP8 and 8-bit builds from Nanbeige", "Nanbeige replied in most of the recent discussions" ], "weaknesses": [ "Its own architecture: Transformers loads it only with the repository's code", "No GGUF from Nanbeige, so llama.cpp users rely on a third party's conversion", "The card's serve instructions still point at Nanbeige's forks", "No safety results on the card", "Training data described only in general terms", "Not changed since September" ], "agentNotes": [ "Serve it with SGLang 0.5.23 or later and pass `--tool-call-parser nanbeige --reasoning-parser nanbeige`", "Pass `tools` in the request. The card recommends `tool_call_format=\"xml\"`", "Set `preserve_thinking` true for multi-turn tool use and coding, false for plain chat", "Use temperature 1.0 for agent and tool work and 0.6 for reasoning and chat, per the card", "For llama.cpp use b12242 or later. The GGUF files on the Hub are bartowski's, not Nanbeige's", "If you load it with Transformers, read modeling_nanbeige.py first: trust_remote_code runs it" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61 } ], "editorialScores": { "interface": 85, "reach": 85, "risk": 55, "upkeep": 72 }, "provenanceScore": 58, "checked": { "categories": { "interface": "2026-11-10", "reach": "2026-11-10", "risk": "2026-11-10", "upkeep": "2026-11-10" }, "last": "2026-11-10", "oldest": "2026-11-10", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install \"sglang\u003e=0.5.23\"\npython -m sglang.launch_server --model-path Nanbeige/Nanbeige4.2-3B --reasoning-parser nanbeige --tool-call-parser nanbeige", "http": "# SGLang serves an OpenAI-compatible API at http://localhost:30000/v1. Pass tools in the request, and\n# chat_template_kwargs {\"enable_thinking\": false} for a direct answer" }, "letme": { "capability": "https://letme.dev/model.open-weights", "tool": "https://letme.dev/nanbeige-4-2-3b" }, "sameCompany": [ "nanbeige-4-3-33b" ], "weights": { "trainedBy": "Nanbeige LLM Lab (BOSS Zhipin)", "builtOn": "Nanbeige4.2-3B-Base, per the card and the metadata", "params": "4.2B", "context": 262144, "goodFor": "A small local agent for tool use, coding and office tasks, with thinking you can turn off and a long context.", "runtimes": [ "llama.cpp", "vLLM", "SGLang" ], "builds": [ { "name": "Nanbeige4.2-3B-FP8", "url": "https://huggingface.co/Nanbeige/Nanbeige4.2-3B-FP8", "who": "publisher", "precision": "fp8", "sizeGB": 5.19, "memoryGB": 8, "format": "safetensors", "runsOn": [ "vLLM", "SGLang" ], "note": "Nanbeige's FP8 build" }, { "name": "Nanbeige4.2-3B-GPTQ-Int8", "url": "https://huggingface.co/Nanbeige/Nanbeige4.2-3B-GPTQ-Int8", "who": "publisher", "precision": "int8", "sizeGB": 5.19, "memoryGB": 8, "format": "safetensors", "runsOn": [ "vLLM", "SGLang" ], "note": "Nanbeige's 8-bit GPTQ build" }, { "name": "bartowski Nanbeige_Nanbeige4.2-3B-GGUF (Q4_K_M)", "url": "https://huggingface.co/bartowski/Nanbeige_Nanbeige4.2-3B-GGUF", "who": "bartowski", "precision": "q4_k_m", "sizeGB": 2.68, "memoryGB": 8, "format": "gguf", "runsOn": [ "llama.cpp" ], "note": "From bartowski, a third party's conversion and not Nanbeige's. Its base_model tag names Nanbeige/Nanbeige4.2-3B, from the Hub's model information on 10 November 2026" }, { "name": "bartowski Nanbeige_Nanbeige4.2-3B-GGUF (Q8_0)", "url": "https://huggingface.co/bartowski/Nanbeige_Nanbeige4.2-3B-GGUF", "who": "bartowski", "precision": "q8_0", "sizeGB": 4.43, "memoryGB": 8, "format": "gguf", "runsOn": [ "llama.cpp" ], "note": "From bartowski, a third party's conversion and not Nanbeige's. From the Hub's model information on 10 November 2026" }, { "name": "Nanbeige4.2-3B (BF16 safetensors)", "url": "https://huggingface.co/Nanbeige/Nanbeige4.2-3B", "who": "publisher", "precision": "bf16", "sizeGB": 8.34, "memoryGB": 12, "format": "safetensors", "runsOn": [ "vLLM", "SGLang" ], "note": "Two shards" } ], "run": "python -m sglang.launch_server --model-path Nanbeige/Nanbeige4.2-3B --reasoning-parser nanbeige --tool-call-parser nanbeige", "runBuild": "Nanbeige4.2-3B (BF16 safetensors)", "checked": "2026-11-10", "minMemoryGB": 8 }, "family": { "lab": "Nanbeige LLM Lab (BOSS Zhipin)", "family": "Nanbeige4.2", "url": "https://www.anchorterminal.com/open-weights/#nanbeige", "others": [ { "name": "Nanbeige4.2-3B-Base", "url": "https://huggingface.co/Nanbeige/Nanbeige4.2-3B-Base" } ], "olderCount": 7 }, "area": "models", "provenance": { "legalEntity": "BOSS Zhipin (Kanzhun Limited), unconfirmed", "domain": "zhipin.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://huggingface.co/Nanbeige/Nanbeige4.2-3B/commits/main", "securityTxt": "none", "checked": "2026-11-10", "notes": [ "The publisher's identity, domain and security facts are carried from our Nanbeige4.3-33B listing: the lab's report for this model names Nanbeige LLM Lab, BOSS Zhipin, and the card's contact address is on kanzhun.com.", "Nothing is hosted under this listing, so Apache 2.0 stands in for terms of service and no privacy policy is scored.", "The changelog is the commit history, 29 commits from 21 July to 11 September 2026." ], "score": 58 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/nanbeige-4-2-3b.json" }, "edges": [ { "by": 34, "category": "upkeep", "leads": "nanbeige-4-2-3b", "name": "Documentation and upkeep", "reasons": { "a": "Model card 8, the card and the DSpark card it names give architecture, parameters and context, with intended use, limitations, languages and cut-off missing. Training data 5, a general description in the report with no cut-off. Last change 10, a card edit on 1 August 2026, 93 days before 2 November, so past 90 and within 180; deepseek-recipe 0.2.0 (20 October) stays read as a library-wide release, not a change to this model's files. Responsiveness 0, DeepSeek answered none of the 61 discussions, the newest opened on 17 October. Version policy 10, the preview and DSpark copies keep their own repositories and the dated 0731 release says what it supersedes. File health 5, the files agree with each other, but reports of tool-call errors and looping and a pull request for a missing chat template wait without a reply from DeepSeek.", "b": "Model card 17, Intended use, limitations, the architecture, the parameters (3B outside the embeddings), the context and the languages (in the metadata) are on the card. Training data 5, A general description of how the fine-tuning and reinforcement learning data was built and filtered, with no sources, sizes or cut-off. Last change 15, the last commit, on 11 September 2026, updated modeling_nanbeige.py, 60 days before this check and within 90. Responsiveness 20, Of the 34 most recent discussions that aren't pull requests (21 July to 10 September 2026), 20 have a reply from a Nanbeige member, which is most. Version policy 5, Nanbeige's earlier models (Nanbeige4-3B, 4.1-3B) stay in their own repositories, as the Base, FP8, 8-bit and DSpark builds of this one do. File health 10, Config, tokenizer config, template and card agree on the architecture and the 262,144 tokens. 17 + 5 + 15 + 20 + 5 + 10 = 72." }, "scores": { "a": 38, "b": 72 } }, { "by": 15, "category": "reach", "leads": "nanbeige-4-2-3b", "name": "Reach", "reasons": { "a": "Memory 5, because the smallest build of 4-bit or better from a runtime's own library is LM Studio's MXFP4 GGUF at 156.4 GB, which with a fifth added needs 187.7 GB, more than our 107.4 GB machine and within 256 GB. DeepSeek's own release, 166.9 GB, sits in the same band. Runtimes 25, the cap, from vLLM v0.32.0, SGLang v0.5.22, llama.cpp release b11771, Transformers 5.20.0 and LM Studio's library, with Ollama not counted since its library entry is retired with no models pushed. Builds 10, DeepSeek ships one build, the FP8 and FP4 release itself. Terms 15, MIT with nothing added. Download 10, not gated. Hosted 5, DeepSeek's API moved to V4.1 Flash, but five inference providers on Hugging Face serve this repository live (Together's mapping has gone since 21 October).", "b": "Memory 30, the smallest build from Nanbeige is the FP8 repository (the 8-bit GPTQ one is the same size), 5.19 GB, and 5.19 GB × 1.2 = 6.2 GB, within 16 GB. bartowski's GGUF isn't read for this line. Runtimes 15, Released SGLang 0.5.23 has the model (srt/models/nanbeige.py) with its parsers, llama.cpp b12242 has the nanbeige architecture, and vLLM 0.33.0 names NanbeigeForCausalLM in its registry, served through its Transformers backend. Builds 15, Quantised builds from Nanbeige at two precisions, FP8 and 8-bit GPTQ, each in its own repository. Terms 15, Apache 2.0 in the card's metadata, an OSI licence, with no use policy or other terms on the card. Download 10, the Hub API reports gated false for the model and its FP8 and 8-bit repositories on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it, and no Nanbeige or BOSS Zhipin API for it was found. 30 + 15 + 15 + 15 + 10 + 0 = 85." }, "scores": { "a": 70, "b": 85 } }, { "by": 10, "category": "interface", "leads": "nanbeige-4-2-3b", "name": "Agent interface", "reasons": { "a": "Chat template 10, there is no Jinja template and the format is given as Python to run. Tool-calling format 10, DeepSeek documents how tools are declared and returned and ships its own parser, but only vLLM's recipe names a runtime parser, so the 25 line isn't met. Trained tool calling 20, several invoke elements in one call block. Structured output 15, DeepSeek's deepseek-recipe library documents JSON Schema response formats for V4 prompts. Reasoning control 10, chat mode with no thinking and three effort levels in thinking mode, with reasoning returned as reasoning_content. Context 10, 1M tokens trained.", "b": "Chat template 20, A Jinja chat template in tokenizer_config.json (7,961 characters), with enable_thinking, preserve_thinking, tools and tool_call_format switches. Tool-calling format 25, the card says passing tools switches on the tool template and recommends tool_call_format xml, with json for compatibility, and its SGLang and vLLM commands name the nanbeige tool-call parser, which released SGLang 0.5.23 has. Trained tool calling 20, the card describes fine-tuning on tool-use environments and agent scaffolds and reinforcement learning on agent tasks, and the template tells the model it may call one or more functions and renders every call in a turn. Structured output 0, Neither the card nor the files mention JSON or JSON Schema output, beyond json as a tool-call format. Reasoning control 10, the card documents enable_thinking, on by default and False per request, and preserve_thinking for earlier turns, and names the nanbeige reasoning parser, which returns the reasoning apart from the answer. Context 10, 262,144 tokens, which the card says the model supports and config.json gives as max_position_embeddings. 20 + 25 + 20 + 0 + 10 + 10 = 85." }, "scores": { "a": 75, "b": 85 } }, { "by": 5, "category": "risk", "leads": "nanbeige-4-2-3b", "name": "Risk", "reasons": { "a": "File safety 15, safetensors only, less 10 because prompts are built by running DeepSeek's encoding_dsv4.py from the repository and the card's serving commands pass --trust-remote-code. Provenance 15, the deepseek-ai organisation and a SHA-256 on every shard. Safety evaluation 0, none published. Agent guidance 0, the encoding README's notes about the parser and the reserved developer role are usage notes, read alike for all three DeepSeek listings. Licence risk 15, MIT with no deductions. Security programme 5, for the security@deepseek.com reporting address in DeepSeek's site footer, read as for DeepSeek-V3.2, with no security.txt and no public advisories.", "b": "File safety 15, safetensors only, no .bin, .pt or .pth files (25). Provenance 15, the files sit in the Nanbeige organisation (Nanbeige LLM Lab), which the lab's arXiv report for this model links, so the publisher's own account, although the Hub hasn't verified it (10). Safety evaluation 0, no safety results on the card. Agent guidance 5, General cautions: the limitations section says outputs may be inaccurate, biased or harmful. Licence risk 15, Apache 2.0 has no use policy, no threshold and no clause letting the licensor change or revoke it. Security programme 5, BOSS Zhipin runs a security response centre for reporting flaws in its products, as read for the Nanbeige4.3-33B listing (5), though nothing links it to the model. 15 + 15 + 0 + 5 + 15 + 5 = 55." }, "scores": { "a": 50, "b": 55 } } ], "facts": [ { "a": "Open-weight model", "b": "Open-weight model", "name": "Kind" }, { "a": "DeepSeek", "b": "Nanbeige LLM Lab (BOSS Zhipin)", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "", "b": "", "name": "Transports" }, { "a": "None", "b": "None", "name": "Auth" }, { "a": "Free", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "Apache-2.0 (Hub metadata only; the repository has no LICENSE file)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-07-31", "b": "2026-09-11", "name": "Last release" }, { "a": "no document linked", "b": "no document linked", "name": "Terms last updated" }, { "a": "no document linked", "b": "no document linked", "name": "Privacy policy last updated" }, { "a": "2.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "DeepSeek-V4-Flash-0731 and Nanbeige4.2-3B score within a point of each other on agent readiness, 61.9 (C) and 61 (C). Nanbeige4.2-3B leads on reach, risk, agent interface and documentation and upkeep.", "question": "Which is better for AI agents, DeepSeek-V4-Flash-0731 or Nanbeige4.2-3B?" } ], "goodFor": [ { "aheadOn": null, "also": null, "goodFor": "Agents or teams with a multi-GPU server, or a provider account, who want DeepSeek's V4 agent model under MIT with a 1M context", "slug": "deepseek-v4-flash-0731", "watchFor": "The smallest 4-bit build is 156.4 GB, so it needs about 188 GB and doesn't fit a 128 GB machine" }, { "aheadOn": [ "Reach, 85 against 70", "Risk, 55 against 50", "Agent interface, 85 against 75", "Documentation and upkeep, 72 against 38" ], "also": null, "goodFor": "Local agents that need tool calling and a long context on a laptop or a small GPU", "slug": "nanbeige-4-2-3b", "watchFor": "Its own architecture: Transformers loads it only with the repository's code" } ], "history": { "deepseek-v4-flash-0731": [ { "causes": [ "time" ], "date": "2026-11-02", "delta": -0.5, "from": 62.4, "fromGrade": "B", "to": 61.9, "toGrade": "C" } ], "nanbeige-4-2-3b": null }, "job": { "capability": "model.open-weights", "name": "Open-weight models you run yourself" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-deepseek-v4-flash-0731.json", "title": "Agents-A1-4B vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-nanbeige-4-2-3b.json", "title": "Agents-A1-4B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-deepseek-v4-flash-0731.json", "title": "Apertus v1.5 8B vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-nanbeige-4-2-3b.json", "title": "Apertus v1.5 8B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-deepseek-v4-flash-0731.json", "title": "Apodex-1.1-mini vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-nanbeige-4-2-3b.json", "title": "Apodex-1.1-mini vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/arete-27b-vs-deepseek-v4-flash-0731.json", "title": "Arete-27B vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/arete-27b-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/arete-27b-vs-nanbeige-4-2-3b.json", "title": "Arete-27B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/arete-27b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/bigbang-v1-vs-deepseek-v4-flash-0731.json", "title": "BigBang-v1 vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/bigbang-v1-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/bigbang-v1-vs-nanbeige-4-2-3b.json", "title": "BigBang-v1 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/bigbang-v1-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/carbon-x-vs-deepseek-v4-flash-0731.json", "title": "Carbon-X vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/carbon-x-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/carbon-x-vs-nanbeige-4-2-3b.json", "title": "Carbon-X vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/carbon-x-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-deepseek-v4-flash-0731.json", "title": "Cola2 vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/cola2-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-nanbeige-4-2-3b.json", "title": "Cola2 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/cola2-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-deepseek-v4-flash-0731.json", "title": "Cosmos-Reason2-2B vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-nanbeige-4-2-3b.json", "title": "Cosmos-Reason2-2B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-deepseek-v4-flash-0731.json", "title": "Darwin-36B-Opus vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-nanbeige-4-2-3b.json", "title": "Darwin-36B-Opus vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-deepseek-v4-flash-0731.json", "title": "DeepSeek-V3.2 vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-nanbeige-4-2-3b.json", "title": "DeepSeek-V3.2 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-deepseek-v4-flash-0731.json", "title": "DeepSeek V4.1 Flash vs DeepSeek-V4-Flash-0731", "url": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-deepseek-v4-flash-0731" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-nanbeige-4-2-3b.json", "title": "DeepSeek V4.1 Flash vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-devstral-small-2.json", "title": "DeepSeek-V4-Flash-0731 vs Devstral Small 2", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-devstral-small-2" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-diffusiongemma-26b-a4b-it.json", "title": "DeepSeek-V4-Flash-0731 vs DiffusionGemma 26B A4B IT", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-diffusiongemma-26b-a4b-it" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-exaone-4-5-33b.json", "title": "DeepSeek-V4-Flash-0731 vs EXAONE 4.5 33B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-exaone-4-5-33b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-12b-it.json", "title": "DeepSeek-V4-Flash-0731 vs Gemma 4 12B IT", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-12b-it" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-26b-a4b-it.json", "title": "DeepSeek-V4-Flash-0731 vs Gemma 4 26B A4B IT", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-26b-a4b-it" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-31b-it.json", "title": "DeepSeek-V4-Flash-0731 vs Gemma 4 31B IT", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-31b-it" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-e2b-it.json", "title": "DeepSeek-V4-Flash-0731 vs Gemma 4 E2B IT", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-e2b-it" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-e4b-it.json", "title": "DeepSeek-V4-Flash-0731 vs Gemma 4 E4B IT", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-e4b-it" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-4-5-air.json", "title": "DeepSeek-V4-Flash-0731 vs GLM-4.5-Air", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-4-5-air" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-4-7-flash.json", "title": "DeepSeek-V4-Flash-0731 vs GLM-4.7-Flash", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-4-7-flash" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-5-3.json", "title": "DeepSeek-V4-Flash-0731 vs GLM-5.3", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-5-3" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-5-3-flash.json", "title": "DeepSeek-V4-Flash-0731 vs GLM-5.3-Flash", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-5-3-flash" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gpt-oss-120b.json", "title": "DeepSeek-V4-Flash-0731 vs gpt-oss-120b", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gpt-oss-120b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gpt-oss-20b.json", "title": "DeepSeek-V4-Flash-0731 vs gpt-oss-20b", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gpt-oss-20b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-granite-4-2-30b.json", "title": "DeepSeek-V4-Flash-0731 vs Granite 4.2 30B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-granite-4-2-30b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-granite-4-2-3b.json", "title": "DeepSeek-V4-Flash-0731 vs Granite 4.2 3B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-granite-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-granite-4-2-8b.json", "title": "DeepSeek-V4-Flash-0731 vs Granite 4.2 8B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-granite-4-2-8b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-hy-memory-30b-a3b.json", "title": "DeepSeek-V4-Flash-0731 vs Hy-Memory-30B-A3B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-hy-memory-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-hy3.json", "title": "DeepSeek-V4-Flash-0731 vs Hy3", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-hy3" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-inkling.json", "title": "DeepSeek-V4-Flash-0731 vs Inkling", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-inkling" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-inkling-small.json", "title": "DeepSeek-V4-Flash-0731 vs Inkling-Small", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-inkling-small" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-internvl3-5-gpt-oss-20b-a4b-preview.json", "title": "DeepSeek-V4-Flash-0731 vs InternVL3.5-GPT-OSS-20B-A4B-Preview", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-internvl3-5-gpt-oss-20b-a4b-preview" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kimi-k3.json", "title": "DeepSeek-V4-Flash-0731 vs Kimi K3", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kimi-k3" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kimi-k3-1-pro.json", "title": "DeepSeek-V4-Flash-0731 vs Kimi K3.1 Pro", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kimi-k3-1-pro" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kolibri-1.json", "title": "DeepSeek-V4-Flash-0731 vs Kolibri-1", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kolibri-1" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kronos.json", "title": "DeepSeek-V4-Flash-0731 vs Kronos", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-laguna-m-1.json", "title": "DeepSeek-V4-Flash-0731 vs Laguna M.1", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-laguna-m-1" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-laguna-s-2-1.json", "title": "DeepSeek-V4-Flash-0731 vs Laguna S 2.1", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-laguna-s-2-1" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-laguna-xs-2-1.json", "title": "DeepSeek-V4-Flash-0731 vs Laguna XS 2.1", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-laguna-xs-2-1" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lbs-27b.json", "title": "DeepSeek-V4-Flash-0731 vs LBS-27B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lbs-27b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm2-5-2-6b.json", "title": "DeepSeek-V4-Flash-0731 vs LFM2.5-2.6B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm2-5-2-6b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-1-7b.json", "title": "DeepSeek-V4-Flash-0731 vs LFM3-1.7B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-1-7b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-audio-2b.json", "title": "DeepSeek-V4-Flash-0731 vs LFM3-Audio-2B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-audio-2b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-omni-2b.json", "title": "DeepSeek-V4-Flash-0731 vs LFM3-Omni-2B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-omni-2b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-vl-2b.json", "title": "DeepSeek-V4-Flash-0731 vs LFM3-VL-2B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-vl-2b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ling-3-0-tiny.json", "title": "DeepSeek-V4-Flash-0731 vs Ling-3.0-tiny", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ling-3-0-tiny" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ling-3-1-flash-1019.json", "title": "DeepSeek-V4-Flash-0731 vs Ling-3.1-flash-1019", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ling-3-1-flash-1019" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-longcat-2-5.json", "title": "DeepSeek-V4-Flash-0731 vs LongCat-2.5", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-longcat-2-5" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mimo-v2-6-distill-qwen-9b.json", "title": "DeepSeek-V4-Flash-0731 vs MiMo-V2.6 Distill Qwen 9B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mimo-v2-6-distill-qwen-9b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mimo-v2-6-flash-rl.json", "title": "DeepSeek-V4-Flash-0731 vs MiMo-V2.6-Flash-RL", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mimo-v2-6-flash-rl" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm-o-4-5.json", "title": "DeepSeek-V4-Flash-0731 vs MiniCPM-o 4.5", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm-o-4-5" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm-v-4-7-1b.json", "title": "DeepSeek-V4-Flash-0731 vs MiniCPM-V 4.7 1B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm-v-4-7-1b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm-v-4-7-35b-a3b.json", "title": "DeepSeek-V4-Flash-0731 vs MiniCPM-V 4.7 35B-A3B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm-v-4-7-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm5-2b.json", "title": "DeepSeek-V4-Flash-0731 vs MiniCPM5-2B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm5-2b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minimax-m2-5.json", "title": "DeepSeek-V4-Flash-0731 vs MiniMax-M2.5", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minimax-m2-5" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minimax-m2-7.json", "title": "DeepSeek-V4-Flash-0731 vs MiniMax-M2.7", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minimax-m2-7" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minimax-m3-1-flash.json", "title": "DeepSeek-V4-Flash-0731 vs MiniMax-M3.1-Flash", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minimax-m3-1-flash" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mistral-large-4.json", "title": "DeepSeek-V4-Flash-0731 vs Mistral Large 4", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mistral-large-4" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-muse-glimmer-30b.json", "title": "DeepSeek-V4-Flash-0731 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nanbeige-4-3-33b.json", "title": "DeepSeek-V4-Flash-0731 vs Nanbeige4.3-33B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nanbeige-4-3-33b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-5-bolt-e4b-4gb.json", "title": "DeepSeek-V4-Flash-0731 vs NVIDIA Nemotron 3.5 Bolt E4B 4GB", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-5-bolt-e4b-4gb" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-5-lightning-30b-a3b.json", "title": "DeepSeek-V4-Flash-0731 vs Nemotron 3.5 Lightning 30B A3B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-5-lightning-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-nano-30b-a3b.json", "title": "DeepSeek-V4-Flash-0731 vs Nemotron 3 Nano 30B A3B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-nano-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-nano-4b.json", "title": "DeepSeek-V4-Flash-0731 vs Nemotron 3 Nano 4B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-nano-4b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-nano-omni-30b-a3b-reasoning.json", "title": "DeepSeek-V4-Flash-0731 vs Nemotron 3 Nano Omni 30B A3B Reasoning", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-nano-omni-30b-a3b-reasoning" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-super-120b-a12b.json", "title": "DeepSeek-V4-Flash-0731 vs Nemotron 3 Super 120B A12B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-super-120b-a12b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-ultra-550b-a55b.json", "title": "DeepSeek-V4-Flash-0731 vs Nemotron 3 Ultra 550B A55B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-ultra-550b-a55b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-north-mini-code-1-0.json", "title": "DeepSeek-V4-Flash-0731 vs North Mini Code 1.0", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-north-mini-code-1-0" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-occamy-1-0.json", "title": "DeepSeek-V4-Flash-0731 vs occamy-1.0", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-occamy-1-0" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-olmo-3-7b-think.json", "title": "DeepSeek-V4-Flash-0731 vs Olmo 3 7B Think", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-olmo-3-7b-think" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-122b.json", "title": "DeepSeek-V4-Flash-0731 vs Ornith-1.5-122B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-122b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-35b-a3b.json", "title": "DeepSeek-V4-Flash-0731 vs Ornith-1.5-35B-A3B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-397b.json", "title": "DeepSeek-V4-Flash-0731 vs Ornith-1.5-397B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-397b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-9b.json", "title": "DeepSeek-V4-Flash-0731 vs Ornith-1.5-9B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-9b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-otel-2-0-llm-31b-it.json", "title": "DeepSeek-V4-Flash-0731 vs OTel-2.0-LLM-31B-IT", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-otel-2-0-llm-31b-it" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen-agentworld-35b-a3b.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen-AgentWorld-35B-A3B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen-agentworld-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-30b-a3b-instruct-2507.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3-30B-A3B-Instruct-2507", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-30b-a3b-instruct-2507" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-4b-instruct-2507.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3-4B-Instruct-2507", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-4b-instruct-2507" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-0-8b.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3.5-0.8B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-0-8b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-122b-a10b.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3.5-122B-A10B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-122b-a10b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-2b.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3.5-2B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-2b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-397b-a17b.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3.5-397B-A17B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-397b-a17b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-4b.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3.5-4B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-4b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-9b.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-6-27b.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3.6-27B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-6-27b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-6-35b-a3b.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3.6-35B-A3B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-6-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-8-27b.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-8-flash-next.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-coder-30b-a3b-instruct.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3-Coder-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-coder-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-coder-next.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3-Coder-Next", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-coder-next" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-omni-30b-a3b-instruct.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3-Omni-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-omni-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-2b-instruct.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3-VL-2B-Instruct", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-2b-instruct" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-30b-a3b-instruct.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3-VL-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-32b-instruct.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3-VL-32B-Instruct", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-32b-instruct" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-4b-instruct.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3-VL-4B-Instruct", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-4b-instruct" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-8b-instruct.json", "title": "DeepSeek-V4-Flash-0731 vs Qwen3-VL-8B-Instruct", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-8b-instruct" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwopus3-8-27b-flash-v2.json", "title": "DeepSeek-V4-Flash-0731 vs Qwopus3.8-27B-Flash-V2", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwopus3-8-27b-flash-v2" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-recursive-flint.json", "title": "DeepSeek-V4-Flash-0731 vs Recursive Flint", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-recursive-flint" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ripple-65b-preview.json", "title": "DeepSeek-V4-Flash-0731 vs Ripple-65B Preview", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ripple-65b-preview" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-sensenova-loop-9b-preview.json", "title": "DeepSeek-V4-Flash-0731 vs SenseNova-Loop-9B-Preview", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-sensenova-loop-9b-preview" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-smollm3-3b.json", "title": "DeepSeek-V4-Flash-0731 vs SmolLM3-3B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-smollm3-3b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-spark-x2-6-4b.json", "title": "DeepSeek-V4-Flash-0731 vs Spark-X2.6-4B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-spark-x2-6-4b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-step-3-7-flash.json", "title": "DeepSeek-V4-Flash-0731 vs Step 3.7 Flash", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-step-3-7-flash" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-swift-1-5-qwen3-8-27b.json", "title": "DeepSeek-V4-Flash-0731 vs Swift 1.5 Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-swift-1-5-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-swift-1-5-qwen3-8-flash-next.json", "title": "DeepSeek-V4-Flash-0731 vs Swift 1.5 Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-swift-1-5-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-thinkingcap-qwen3-8-27b.json", "title": "DeepSeek-V4-Flash-0731 vs ThinkingCap (Qwen3.8 27B)", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-thinkingcap-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-unlimited-ocr-2.json", "title": "DeepSeek-V4-Flash-0731 vs Baidu Unlimited-OCR-2", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-unlimited-ocr-2" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-wevisone-vl-2b.json", "title": "DeepSeek-V4-Flash-0731 vs WeVisOne-VL-2B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-wevisone-vl-2b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-wevisone-vl-4b.json", "title": "DeepSeek-V4-Flash-0731 vs WeVisOne-VL-4B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-wevisone-vl-4b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-zaya1-8b.json", "title": "DeepSeek-V4-Flash-0731 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/devstral-small-2-vs-nanbeige-4-2-3b.json", "title": "Devstral Small 2 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/devstral-small-2-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-nanbeige-4-2-3b.json", "title": "DiffusionGemma 26B A4B IT vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nanbeige-4-2-3b.json", "title": "EXAONE 4.5 33B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-nanbeige-4-2-3b.json", "title": "Gemma 4 12B IT vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-nanbeige-4-2-3b.json", "title": "Gemma 4 26B A4B IT vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-nanbeige-4-2-3b.json", "title": "Gemma 4 31B IT vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-nanbeige-4-2-3b.json", "title": "Gemma 4 E2B IT vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-nanbeige-4-2-3b.json", "title": "Gemma 4 E4B IT vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-nanbeige-4-2-3b.json", "title": "GLM-4.5-Air vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-nanbeige-4-2-3b.json", "title": "GLM-4.7-Flash vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-nanbeige-4-2-3b.json", "title": "GLM-5.3-Flash vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-vs-nanbeige-4-2-3b.json", "title": "GLM-5.3 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/glm-5-3-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nanbeige-4-2-3b.json", "title": "gpt-oss-120b vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-nanbeige-4-2-3b.json", "title": "gpt-oss-20b vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-nanbeige-4-2-3b.json", "title": "Granite 4.2 30B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-3b-vs-nanbeige-4-2-3b.json", "title": "Granite 4.2 3B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/granite-4-2-3b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-8b-vs-nanbeige-4-2-3b.json", "title": "Granite 4.2 8B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/granite-4-2-8b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-nanbeige-4-2-3b.json", "title": "Hy-Memory-30B-A3B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/hy3-vs-nanbeige-4-2-3b.json", "title": "Hy3 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/hy3-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/inkling-small-vs-nanbeige-4-2-3b.json", "title": "Inkling-Small vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/inkling-small-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/inkling-vs-nanbeige-4-2-3b.json", "title": "Inkling vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/inkling-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-nanbeige-4-2-3b.json", "title": "InternVL3.5-GPT-OSS-20B-A4B-Preview vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nanbeige-4-2-3b.json", "title": "Kimi K3.1 Pro vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/kimi-k3-vs-nanbeige-4-2-3b.json", "title": "Kimi K3 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/kimi-k3-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/kolibri-1-vs-nanbeige-4-2-3b.json", "title": "Kolibri-1 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/kolibri-1-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-nanbeige-4-2-3b.json", "title": "Kronos vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/kronos-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/laguna-m-1-vs-nanbeige-4-2-3b.json", "title": "Laguna M.1 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/laguna-m-1-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/laguna-s-2-1-vs-nanbeige-4-2-3b.json", "title": "Laguna S 2.1 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/laguna-s-2-1-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-nanbeige-4-2-3b.json", "title": "Laguna XS 2.1 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/lbs-27b-vs-nanbeige-4-2-3b.json", "title": "LBS-27B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/lbs-27b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-nanbeige-4-2-3b.json", "title": "LFM2.5-2.6B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-1-7b-vs-nanbeige-4-2-3b.json", "title": "LFM3-1.7B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/lfm3-1-7b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-nanbeige-4-2-3b.json", "title": "LFM3-Audio-2B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-nanbeige-4-2-3b.json", "title": "LFM3-Omni-2B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-nanbeige-4-2-3b.json", "title": "LFM3-VL-2B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nanbeige-4-2-3b.json", "title": "Ling-3.0-tiny vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-nanbeige-4-2-3b.json", "title": "Ling-3.1-flash-1019 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/longcat-2-5-vs-nanbeige-4-2-3b.json", "title": "LongCat-2.5 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/longcat-2-5-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-nanbeige-4-2-3b.json", "title": "MiMo-V2.6 Distill Qwen 9B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-nanbeige-4-2-3b.json", "title": "MiMo-V2.6-Flash-RL vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-nanbeige-4-2-3b.json", "title": "MiniCPM-o 4.5 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-nanbeige-4-2-3b.json", "title": "MiniCPM-V 4.7 1B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-nanbeige-4-2-3b.json", "title": "MiniCPM-V 4.7 35B-A3B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/minicpm5-2b-vs-nanbeige-4-2-3b.json", "title": "MiniCPM5-2B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/minicpm5-2b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m2-5-vs-nanbeige-4-2-3b.json", "title": "MiniMax-M2.5 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/minimax-m2-5-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m2-7-vs-nanbeige-4-2-3b.json", "title": "MiniMax-M2.7 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/minimax-m2-7-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-nanbeige-4-2-3b.json", "title": "MiniMax-M3.1-Flash vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/mistral-large-4-vs-nanbeige-4-2-3b.json", "title": "Mistral Large 4 vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/mistral-large-4-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nanbeige-4-2-3b.json", "title": "Muse Glimmer 30B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nanbeige-4-3-33b.json", "title": "Nanbeige4.2-3B vs Nanbeige4.3-33B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nanbeige-4-3-33b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-5-bolt-e4b-4gb.json", "title": "Nanbeige4.2-3B vs NVIDIA Nemotron 3.5 Bolt E4B 4GB", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-5-bolt-e4b-4gb" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-5-lightning-30b-a3b.json", "title": "Nanbeige4.2-3B vs Nemotron 3.5 Lightning 30B A3B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-5-lightning-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-nano-30b-a3b.json", "title": "Nanbeige4.2-3B vs Nemotron 3 Nano 30B A3B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-nano-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-nano-4b.json", "title": "Nanbeige4.2-3B vs Nemotron 3 Nano 4B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-nano-4b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.json", "title": "Nanbeige4.2-3B vs Nemotron 3 Nano Omni 30B A3B Reasoning", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-nano-omni-30b-a3b-reasoning" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-super-120b-a12b.json", "title": "Nanbeige4.2-3B vs Nemotron 3 Super 120B A12B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-super-120b-a12b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-ultra-550b-a55b.json", "title": "Nanbeige4.2-3B vs Nemotron 3 Ultra 550B A55B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-ultra-550b-a55b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-north-mini-code-1-0.json", "title": "Nanbeige4.2-3B vs North Mini Code 1.0", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-north-mini-code-1-0" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-occamy-1-0.json", "title": "Nanbeige4.2-3B vs occamy-1.0", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-occamy-1-0" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-olmo-3-7b-think.json", "title": "Nanbeige4.2-3B vs Olmo 3 7B Think", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-olmo-3-7b-think" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-122b.json", "title": "Nanbeige4.2-3B vs Ornith-1.5-122B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-122b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-35b-a3b.json", "title": "Nanbeige4.2-3B vs Ornith-1.5-35B-A3B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-397b.json", "title": "Nanbeige4.2-3B vs Ornith-1.5-397B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-397b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-9b.json", "title": "Nanbeige4.2-3B vs Ornith-1.5-9B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-9b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-otel-2-0-llm-31b-it.json", "title": "Nanbeige4.2-3B vs OTel-2.0-LLM-31B-IT", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-otel-2-0-llm-31b-it" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen-agentworld-35b-a3b.json", "title": "Nanbeige4.2-3B vs Qwen-AgentWorld-35B-A3B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen-agentworld-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-30b-a3b-instruct-2507.json", "title": "Nanbeige4.2-3B vs Qwen3-30B-A3B-Instruct-2507", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-30b-a3b-instruct-2507" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-4b-instruct-2507.json", "title": "Nanbeige4.2-3B vs Qwen3-4B-Instruct-2507", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-4b-instruct-2507" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-0-8b.json", "title": "Nanbeige4.2-3B vs Qwen3.5-0.8B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-0-8b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-122b-a10b.json", "title": "Nanbeige4.2-3B vs Qwen3.5-122B-A10B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-122b-a10b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-2b.json", "title": "Nanbeige4.2-3B vs Qwen3.5-2B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-2b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-397b-a17b.json", "title": "Nanbeige4.2-3B vs Qwen3.5-397B-A17B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-397b-a17b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-4b.json", "title": "Nanbeige4.2-3B vs Qwen3.5-4B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-4b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-9b.json", "title": "Nanbeige4.2-3B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-6-27b.json", "title": "Nanbeige4.2-3B vs Qwen3.6-27B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-6-27b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-6-35b-a3b.json", "title": "Nanbeige4.2-3B vs Qwen3.6-35B-A3B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-6-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-27b.json", "title": "Nanbeige4.2-3B vs Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-flash-next.json", "title": "Nanbeige4.2-3B vs Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-coder-30b-a3b-instruct.json", "title": "Nanbeige4.2-3B vs Qwen3-Coder-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-coder-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-coder-next.json", "title": "Nanbeige4.2-3B vs Qwen3-Coder-Next", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-coder-next" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-omni-30b-a3b-instruct.json", "title": "Nanbeige4.2-3B vs Qwen3-Omni-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-omni-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-2b-instruct.json", "title": "Nanbeige4.2-3B vs Qwen3-VL-2B-Instruct", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-2b-instruct" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-30b-a3b-instruct.json", "title": "Nanbeige4.2-3B vs Qwen3-VL-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-32b-instruct.json", "title": "Nanbeige4.2-3B vs Qwen3-VL-32B-Instruct", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-32b-instruct" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-4b-instruct.json", "title": "Nanbeige4.2-3B vs Qwen3-VL-4B-Instruct", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-4b-instruct" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-8b-instruct.json", "title": "Nanbeige4.2-3B vs Qwen3-VL-8B-Instruct", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-8b-instruct" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwopus3-8-27b-flash-v2.json", "title": "Nanbeige4.2-3B vs Qwopus3.8-27B-Flash-V2", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwopus3-8-27b-flash-v2" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-recursive-flint.json", "title": "Nanbeige4.2-3B vs Recursive Flint", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-recursive-flint" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ripple-65b-preview.json", "title": "Nanbeige4.2-3B vs Ripple-65B Preview", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ripple-65b-preview" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-sensenova-loop-9b-preview.json", "title": "Nanbeige4.2-3B vs SenseNova-Loop-9B-Preview", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-sensenova-loop-9b-preview" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-smollm3-3b.json", "title": "Nanbeige4.2-3B vs SmolLM3-3B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-smollm3-3b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-spark-x2-6-4b.json", "title": "Nanbeige4.2-3B vs Spark-X2.6-4B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-spark-x2-6-4b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-step-3-7-flash.json", "title": "Nanbeige4.2-3B vs Step 3.7 Flash", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-step-3-7-flash" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-swift-1-5-qwen3-8-27b.json", "title": "Nanbeige4.2-3B vs Swift 1.5 Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-swift-1-5-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-swift-1-5-qwen3-8-flash-next.json", "title": "Nanbeige4.2-3B vs Swift 1.5 Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-swift-1-5-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-thinkingcap-qwen3-8-27b.json", "title": "Nanbeige4.2-3B vs ThinkingCap (Qwen3.8 27B)", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-thinkingcap-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-unlimited-ocr-2.json", "title": "Nanbeige4.2-3B vs Baidu Unlimited-OCR-2", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-unlimited-ocr-2" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-wevisone-vl-2b.json", "title": "Nanbeige4.2-3B vs WeVisOne-VL-2B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-wevisone-vl-2b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-wevisone-vl-4b.json", "title": "Nanbeige4.2-3B vs WeVisOne-VL-4B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-wevisone-vl-4b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-zaya1-8b.json", "title": "Nanbeige4.2-3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-zaya1-8b" } ], "panel": null, "scores": [ { "key": "capability", "name": "Capability", "pending": true, "weight": 35 }, { "by": 15, "deepseek-v4-flash-0731": 70, "edge": "nanbeige-4-2-3b", "key": "reach", "name": "Reach", "nanbeige-4-2-3b": 85, "weight": 25 }, { "by": 5, "deepseek-v4-flash-0731": 50, "edge": "nanbeige-4-2-3b", "key": "risk", "name": "Risk", "nanbeige-4-2-3b": 55, "weight": 20 }, { "by": 10, "deepseek-v4-flash-0731": 75, "edge": "nanbeige-4-2-3b", "key": "interface", "name": "Agent interface", "nanbeige-4-2-3b": 85, "weight": 10 }, { "by": 34, "deepseek-v4-flash-0731": 38, "edge": "nanbeige-4-2-3b", "key": "upkeep", "name": "Documentation and upkeep", "nanbeige-4-2-3b": 72, "weight": 10 } ], "summary": "DeepSeek-V4-Flash-0731 and Nanbeige4.2-3B score within a point of each other on agent readiness, 61.9 (C) and 61 (C). Nanbeige4.2-3B leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.", "tasks": null, "tutorials": [], "verdicts": { "deepseek-v4-flash-0731": "A long-context agent cousin under MIT with documented tool calls, three reasoning effort levels and support in every major runtime but Ollama. It needs about 190 to 200 GB of memory, though five inference providers serve it. The main risks are prompts built from DeepSeek's Python, no published safety results and no answers in its repository.", "nanbeige-4-2-3b": "A small model built for agent work, with tool calling it was trained for, a thinking switch and a 256K context in about 5 GB, under Apache 2.0, from a lab that answers most questions. Its architecture is its own, so check your runtime: SGLang and llama.cpp have it, Transformers needs the repository's code, and Nanbeige ships no GGUF." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nanbeige-4-2-3b", "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nanbeige-4-2-3b.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nanbeige-4-2-3b.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nanbeige-4-2-3b.min.md" }, "markdown": "DeepSeek-V4-Flash-0731 and Nanbeige4.2-3B score within a point of each other on agent readiness, 61.9 (C) and 61 (C). Nanbeige4.2-3B leads on reach, risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.\n\n- DeepSeek-V4-Flash-0731: grade C, 61.9/100, rank #33 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/deepseek-v4-flash-0731.md · JSON https://www.anchorterminal.com/api/v1/tools/deepseek-v4-flash-0731.json\n- Nanbeige4.2-3B: grade C, 61/100, rank #78 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/nanbeige-4-2-3b.md · JSON https://www.anchorterminal.com/api/v1/tools/nanbeige-4-2-3b.json\n- Best open-weight models you download and run yourself for AI agents: https://www.anchorterminal.com/best/open-weights/index.md\n- All 6359 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md\n\n## Which one, for what\n\n### DeepSeek-V4-Flash-0731 (C)\n\nGood for: Agents or teams with a multi-GPU server, or a provider account, who want DeepSeek's V4 agent model under MIT with a 1M context\n\nWatch for: The smallest 4-bit build is 156.4 GB, so it needs about 188 GB and doesn't fit a 128 GB machine\n\n### Nanbeige4.2-3B (C)\n\nGood for: Local agents that need tool calling and a long context on a laptop or a small GPU\n\nAhead on:\n- Reach, 85 against 70\n- Risk, 55 against 50\n- Agent interface, 85 against 75\n- Documentation and upkeep, 72 against 38\n\nWatch for: Its own architecture: Transformers loads it only with the repository's code\n\n\n## Why the edge\n\n### Documentation and upkeep: Nanbeige4.2-3B +34\n\n- DeepSeek-V4-Flash-0731 (38): Model card 8, the card and the DSpark card it names give architecture, parameters and context, with intended use, limitations, languages and cut-off missing. Training data 5, a general description in the report with no cut-off. Last change 10, a card edit on 1 August 2026, 93 days before 2 November, so past 90 and within 180; deepseek-recipe 0.2.0 (20 October) stays read as a library-wide release, not a change to this model's files. Responsiveness 0, DeepSeek answered none of the 61 discussions, the newest opened on 17 October. Version policy 10, the preview and DSpark copies keep their own repositories and the dated 0731 release says what it supersedes. File health 5, the files agree with each other, but reports of tool-call errors and looping and a pull request for a missing chat template wait without a reply from DeepSeek.\n- Nanbeige4.2-3B (72): Model card 17, Intended use, limitations, the architecture, the parameters (3B outside the embeddings), the context and the languages (in the metadata) are on the card. Training data 5, A general description of how the fine-tuning and reinforcement learning data was built and filtered, with no sources, sizes or cut-off. Last change 15, the last commit, on 11 September 2026, updated modeling_nanbeige.py, 60 days before this check and within 90. Responsiveness 20, Of the 34 most recent discussions that aren't pull requests (21 July to 10 September 2026), 20 have a reply from a Nanbeige member, which is most. Version policy 5, Nanbeige's earlier models (Nanbeige4-3B, 4.1-3B) stay in their own repositories, as the Base, FP8, 8-bit and DSpark builds of this one do. File health 10, Config, tokenizer config, template and card agree on the architecture and the 262,144 tokens. 17 + 5 + 15 + 20 + 5 + 10 = 72.\n\n### Reach: Nanbeige4.2-3B +15\n\n- DeepSeek-V4-Flash-0731 (70): Memory 5, because the smallest build of 4-bit or better from a runtime's own library is LM Studio's MXFP4 GGUF at 156.4 GB, which with a fifth added needs 187.7 GB, more than our 107.4 GB machine and within 256 GB. DeepSeek's own release, 166.9 GB, sits in the same band. Runtimes 25, the cap, from vLLM v0.32.0, SGLang v0.5.22, llama.cpp release b11771, Transformers 5.20.0 and LM Studio's library, with Ollama not counted since its library entry is retired with no models pushed. Builds 10, DeepSeek ships one build, the FP8 and FP4 release itself. Terms 15, MIT with nothing added. Download 10, not gated. Hosted 5, DeepSeek's API moved to V4.1 Flash, but five inference providers on Hugging Face serve this repository live (Together's mapping has gone since 21 October).\n- Nanbeige4.2-3B (85): Memory 30, the smallest build from Nanbeige is the FP8 repository (the 8-bit GPTQ one is the same size), 5.19 GB, and 5.19 GB × 1.2 = 6.2 GB, within 16 GB. bartowski's GGUF isn't read for this line. Runtimes 15, Released SGLang 0.5.23 has the model (srt/models/nanbeige.py) with its parsers, llama.cpp b12242 has the nanbeige architecture, and vLLM 0.33.0 names NanbeigeForCausalLM in its registry, served through its Transformers backend. Builds 15, Quantised builds from Nanbeige at two precisions, FP8 and 8-bit GPTQ, each in its own repository. Terms 15, Apache 2.0 in the card's metadata, an OSI licence, with no use policy or other terms on the card. Download 10, the Hub API reports gated false for the model and its FP8 and 8-bit repositories on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it, and no Nanbeige or BOSS Zhipin API for it was found. 30 + 15 + 15 + 15 + 10 + 0 = 85.\n\n### Agent interface: Nanbeige4.2-3B +10\n\n- DeepSeek-V4-Flash-0731 (75): Chat template 10, there is no Jinja template and the format is given as Python to run. Tool-calling format 10, DeepSeek documents how tools are declared and returned and ships its own parser, but only vLLM's recipe names a runtime parser, so the 25 line isn't met. Trained tool calling 20, several invoke elements in one call block. Structured output 15, DeepSeek's deepseek-recipe library documents JSON Schema response formats for V4 prompts. Reasoning control 10, chat mode with no thinking and three effort levels in thinking mode, with reasoning returned as reasoning_content. Context 10, 1M tokens trained.\n- Nanbeige4.2-3B (85): Chat template 20, A Jinja chat template in tokenizer_config.json (7,961 characters), with enable_thinking, preserve_thinking, tools and tool_call_format switches. Tool-calling format 25, the card says passing tools switches on the tool template and recommends tool_call_format xml, with json for compatibility, and its SGLang and vLLM commands name the nanbeige tool-call parser, which released SGLang 0.5.23 has. Trained tool calling 20, the card describes fine-tuning on tool-use environments and agent scaffolds and reinforcement learning on agent tasks, and the template tells the model it may call one or more functions and renders every call in a turn. Structured output 0, Neither the card nor the files mention JSON or JSON Schema output, beyond json as a tool-call format. Reasoning control 10, the card documents enable_thinking, on by default and False per request, and preserve_thinking for earlier turns, and names the nanbeige reasoning parser, which returns the reasoning apart from the answer. Context 10, 262,144 tokens, which the card says the model supports and config.json gives as max_position_embeddings. 20 + 25 + 20 + 0 + 10 + 10 = 85.\n\n### Risk: Nanbeige4.2-3B +5\n\n- DeepSeek-V4-Flash-0731 (50): File safety 15, safetensors only, less 10 because prompts are built by running DeepSeek's encoding_dsv4.py from the repository and the card's serving commands pass --trust-remote-code. Provenance 15, the deepseek-ai organisation and a SHA-256 on every shard. Safety evaluation 0, none published. Agent guidance 0, the encoding README's notes about the parser and the reserved developer role are usage notes, read alike for all three DeepSeek listings. Licence risk 15, MIT with no deductions. Security programme 5, for the security@deepseek.com reporting address in DeepSeek's site footer, read as for DeepSeek-V3.2, with no security.txt and no public advisories.\n- Nanbeige4.2-3B (55): File safety 15, safetensors only, no .bin, .pt or .pth files (25). Provenance 15, the files sit in the Nanbeige organisation (Nanbeige LLM Lab), which the lab's arXiv report for this model links, so the publisher's own account, although the Hub hasn't verified it (10). Safety evaluation 0, no safety results on the card. Agent guidance 5, General cautions: the limitations section says outputs may be inaccurate, biased or harmful. Licence risk 15, Apache 2.0 has no use policy, no threshold and no clause letting the licensor change or revoke it. Security programme 5, BOSS Zhipin runs a security response centre for reporting flaws in its products, as read for the Nanbeige4.3-33B listing (5), though nothing links it to the model. 15 + 15 + 0 + 5 + 15 + 5 = 55.\n\n## Score by category\n\n| Category | Weight | DeepSeek-V4-Flash-0731 | Nanbeige4.2-3B | Edge |\n| --- | --- | --- | --- | --- |\n| Capability | 35%, pending | pending | pending | not scored in this run |\n| Reach | 25% (25 this run) | 70 | 85 | Nanbeige4.2-3B +15 |\n| Risk | 20% (20 this run) | 50 | 55 | Nanbeige4.2-3B +5 |\n| Agent interface | 10% (10 this run) | 75 | 85 | Nanbeige4.2-3B +10 |\n| Documentation and upkeep | 10% (10 this run) | 38 | 72 | Nanbeige4.2-3B +34 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **61.9 · C** | **61 · C** | |\n\n## Facts side by side\n\n| Fact | DeepSeek-V4-Flash-0731 | Nanbeige4.2-3B |\n| --- | --- | --- |\n| Kind | Open-weight model | Open-weight model |\n| Vendor | DeepSeek | Nanbeige LLM Lab (BOSS Zhipin) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | | |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | MIT | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-07-31 | 2026-09-11 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Agent reviews | 2.5/5 (4) | none |\n\n## How the scores have moved\n\n### DeepSeek-V4-Flash-0731\n\n- -0.5 on 2 November 2026 (B to C): time\n\n### Nanbeige4.2-3B\n\nNo score change since it was listed.\n\n## Verdicts\n\n**DeepSeek-V4-Flash-0731.** A long-context agent cousin under MIT with documented tool calls, three reasoning effort levels and support in every major runtime but Ollama. It needs about 190 to 200 GB of memory, though five inference providers serve it. The main risks are prompts built from DeepSeek's Python, no published safety results and no answers in its repository.\n\n**Nanbeige4.2-3B.** A small model built for agent work, with tool calling it was trained for, a thinking switch and a 256K context in about 5 GB, under Apache 2.0, from a lab that answers most questions. Its architecture is its own, so check your runtime: SGLang and llama.cpp have it, Transformers needs the repository's code, and Nanbeige ships no GGUF.\n\n## Before you call either\n\n### DeepSeek-V4-Flash-0731\n\n1. vllm serve deepseek-ai/DeepSeek-V4-Flash-0731 --trust-remote-code --kv-cache-dtype fp8 --block-size 256 --data-parallel-size 4 --enable-expert-parallel --moe-backend deep_gemm_mega_moe --attention-config '{\"use_fp4_indexer_cache\": true}' --speculative-config '{\"method\":\"dspark\",\"num_speculative_tokens\":7,\"draft_sample_method\":\"greedy\"}' --tokenizer-mode deepseek_v4 --tool-call-parser deepseek_v4 --enable-auto-tool-choice --reasoning-parser deepseek_v4 (the card's 4x GB300 example plus the parser flags from vLLM's recipe)\n2. Build prompts with encoding_dsv4.py, deepseek-recipe's V4 encoder or vLLM's --tokenizer-mode deepseek_v4, since the repository has no Jinja template\n3. Tool calls come back in a DSML tool_calls block with invoke elements, string parameters carry string=\"true\" and JSON values string=\"false\"\n4. Set temperature 1.0 and top_p 0.95 for agent work, and allow up to 384K output tokens at reasoning effort high or max\n5. Without the hardware, call it through a Hugging Face inference provider (DeepInfra, Novita, Baseten, Scaleway, Featherless), not DeepSeek's API, where deepseek-v4-flash now means V4.1 Flash\n6. LM Studio's library build is a 156.4 GB MXFP4 GGUF and LM Studio states 156 GB minimum system memory\n\n### Nanbeige4.2-3B\n\n1. Serve it with SGLang 0.5.23 or later and pass `--tool-call-parser nanbeige --reasoning-parser nanbeige`\n2. Pass `tools` in the request. The card recommends `tool_call_format=\"xml\"`\n3. Set `preserve_thinking` true for multi-turn tool use and coding, false for plain chat\n4. Use temperature 1.0 for agent and tool work and 0.6 for reasoning and chat, per the card\n5. For llama.cpp use b12242 or later. The GGUF files on the Hub are bartowski's, not Nanbeige's\n6. If you load it with Transformers, read modeling_nanbeige.py first: trust_remote_code runs it\n\n## Questions\n\n### Which is better for AI agents, DeepSeek-V4-Flash-0731 or Nanbeige4.2-3B?\n\nDeepSeek-V4-Flash-0731 and Nanbeige4.2-3B score within a point of each other on agent readiness, 61.9 (C) and 61 (C). Nanbeige4.2-3B leads on reach, risk, agent interface and documentation and upkeep.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nanbeige-4-2-3b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nanbeige-4-2-3b.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepseek-v4-flash-0731\", \"b\": \"nanbeige-4-2-3b\"}`. From a terminal: `anchor compare deepseek-v4-flash-0731 nanbeige-4-2-3b`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepseek-v4-flash-0731.json and https://www.anchorterminal.com/api/v1/tools/nanbeige-4-2-3b.json\n\n## Other comparisons with DeepSeek-V4-Flash-0731 or Nanbeige4.2-3B\n\n- [Agents-A1-4B vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/agents-a1-4b-vs-deepseek-v4-flash-0731.md)\n- [Agents-A1-4B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/agents-a1-4b-vs-nanbeige-4-2-3b.md)\n- [Apertus v1.5 8B vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-deepseek-v4-flash-0731.md)\n- [Apertus v1.5 8B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-nanbeige-4-2-3b.md)\n- [Apodex-1.1-mini vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-deepseek-v4-flash-0731.md)\n- [Apodex-1.1-mini vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-nanbeige-4-2-3b.md)\n- [Arete-27B vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/arete-27b-vs-deepseek-v4-flash-0731.md)\n- [Arete-27B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/arete-27b-vs-nanbeige-4-2-3b.md)\n- [BigBang-v1 vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/bigbang-v1-vs-deepseek-v4-flash-0731.md)\n- [BigBang-v1 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/bigbang-v1-vs-nanbeige-4-2-3b.md)\n- [Carbon-X vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/carbon-x-vs-deepseek-v4-flash-0731.md)\n- [Carbon-X vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/carbon-x-vs-nanbeige-4-2-3b.md)\n- [Cola2 vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/cola2-vs-deepseek-v4-flash-0731.md)\n- [Cola2 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/cola2-vs-nanbeige-4-2-3b.md)\n- [Cosmos-Reason2-2B vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-deepseek-v4-flash-0731.md)\n- [Cosmos-Reason2-2B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-nanbeige-4-2-3b.md)\n- [Darwin-36B-Opus vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/darwin-36b-opus-vs-deepseek-v4-flash-0731.md)\n- [Darwin-36B-Opus vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/darwin-36b-opus-vs-nanbeige-4-2-3b.md)\n- [DeepSeek-V3.2 vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/deepseek-v3-2-vs-deepseek-v4-flash-0731.md)\n- [DeepSeek-V3.2 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/deepseek-v3-2-vs-nanbeige-4-2-3b.md)\n- [DeepSeek V4.1 Flash vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-deepseek-v4-flash-0731.md)\n- [DeepSeek V4.1 Flash vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-nanbeige-4-2-3b.md)\n- [DeepSeek-V4-Flash-0731 vs Devstral Small 2](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-devstral-small-2.md)\n- [DeepSeek-V4-Flash-0731 vs DiffusionGemma 26B A4B IT](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-diffusiongemma-26b-a4b-it.md)\n- [DeepSeek-V4-Flash-0731 vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-exaone-4-5-33b.md)\n- [DeepSeek-V4-Flash-0731 vs Gemma 4 12B IT](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-12b-it.md)\n- [DeepSeek-V4-Flash-0731 vs Gemma 4 26B A4B IT](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-26b-a4b-it.md)\n- [DeepSeek-V4-Flash-0731 vs Gemma 4 31B IT](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-31b-it.md)\n- [DeepSeek-V4-Flash-0731 vs Gemma 4 E2B IT](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-e2b-it.md)\n- [DeepSeek-V4-Flash-0731 vs Gemma 4 E4B IT](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gemma-4-e4b-it.md)\n- [DeepSeek-V4-Flash-0731 vs GLM-4.5-Air](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-4-5-air.md)\n- [DeepSeek-V4-Flash-0731 vs GLM-4.7-Flash](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-4-7-flash.md)\n- [DeepSeek-V4-Flash-0731 vs GLM-5.3](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-5-3.md)\n- [DeepSeek-V4-Flash-0731 vs GLM-5.3-Flash](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-glm-5-3-flash.md)\n- [DeepSeek-V4-Flash-0731 vs gpt-oss-120b](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gpt-oss-120b.md)\n- [DeepSeek-V4-Flash-0731 vs gpt-oss-20b](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gpt-oss-20b.md)\n- [DeepSeek-V4-Flash-0731 vs Granite 4.2 30B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-granite-4-2-30b.md)\n- [DeepSeek-V4-Flash-0731 vs Granite 4.2 3B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-granite-4-2-3b.md)\n- [DeepSeek-V4-Flash-0731 vs Granite 4.2 8B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-granite-4-2-8b.md)\n- [DeepSeek-V4-Flash-0731 vs Hy-Memory-30B-A3B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-hy-memory-30b-a3b.md)\n- [DeepSeek-V4-Flash-0731 vs Hy3](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-hy3.md)\n- [DeepSeek-V4-Flash-0731 vs Inkling](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-inkling.md)\n- [DeepSeek-V4-Flash-0731 vs Inkling-Small](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-inkling-small.md)\n- [DeepSeek-V4-Flash-0731 vs InternVL3.5-GPT-OSS-20B-A4B-Preview](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-internvl3-5-gpt-oss-20b-a4b-preview.md)\n- [DeepSeek-V4-Flash-0731 vs Kimi K3](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kimi-k3.md)\n- [DeepSeek-V4-Flash-0731 vs Kimi K3.1 Pro](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kimi-k3-1-pro.md)\n- [DeepSeek-V4-Flash-0731 vs Kolibri-1](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kolibri-1.md)\n- [DeepSeek-V4-Flash-0731 vs Kronos](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-kronos.md)\n- [DeepSeek-V4-Flash-0731 vs Laguna M.1](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-laguna-m-1.md)\n- [DeepSeek-V4-Flash-0731 vs Laguna S 2.1](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-laguna-s-2-1.md)\n- [DeepSeek-V4-Flash-0731 vs Laguna XS 2.1](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-laguna-xs-2-1.md)\n- [DeepSeek-V4-Flash-0731 vs LBS-27B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lbs-27b.md)\n- [DeepSeek-V4-Flash-0731 vs LFM2.5-2.6B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm2-5-2-6b.md)\n- [DeepSeek-V4-Flash-0731 vs LFM3-1.7B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-1-7b.md)\n- [DeepSeek-V4-Flash-0731 vs LFM3-Audio-2B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-audio-2b.md)\n- [DeepSeek-V4-Flash-0731 vs LFM3-Omni-2B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-omni-2b.md)\n- [DeepSeek-V4-Flash-0731 vs LFM3-VL-2B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-lfm3-vl-2b.md)\n- [DeepSeek-V4-Flash-0731 vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ling-3-0-tiny.md)\n- [DeepSeek-V4-Flash-0731 vs Ling-3.1-flash-1019](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ling-3-1-flash-1019.md)\n- [DeepSeek-V4-Flash-0731 vs LongCat-2.5](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-longcat-2-5.md)\n- [DeepSeek-V4-Flash-0731 vs MiMo-V2.6 Distill Qwen 9B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mimo-v2-6-distill-qwen-9b.md)\n- [DeepSeek-V4-Flash-0731 vs MiMo-V2.6-Flash-RL](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mimo-v2-6-flash-rl.md)\n- [DeepSeek-V4-Flash-0731 vs MiniCPM-o 4.5](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm-o-4-5.md)\n- [DeepSeek-V4-Flash-0731 vs MiniCPM-V 4.7 1B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm-v-4-7-1b.md)\n- [DeepSeek-V4-Flash-0731 vs MiniCPM-V 4.7 35B-A3B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm-v-4-7-35b-a3b.md)\n- [DeepSeek-V4-Flash-0731 vs MiniCPM5-2B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minicpm5-2b.md)\n- [DeepSeek-V4-Flash-0731 vs MiniMax-M2.5](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minimax-m2-5.md)\n- [DeepSeek-V4-Flash-0731 vs MiniMax-M2.7](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minimax-m2-7.md)\n- [DeepSeek-V4-Flash-0731 vs MiniMax-M3.1-Flash](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-minimax-m3-1-flash.md)\n- [DeepSeek-V4-Flash-0731 vs Mistral Large 4](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-mistral-large-4.md)\n- [DeepSeek-V4-Flash-0731 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-muse-glimmer-30b.md)\n- [DeepSeek-V4-Flash-0731 vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nanbeige-4-3-33b.md)\n- [DeepSeek-V4-Flash-0731 vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-5-bolt-e4b-4gb.md)\n- [DeepSeek-V4-Flash-0731 vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-5-lightning-30b-a3b.md)\n- [DeepSeek-V4-Flash-0731 vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-nano-30b-a3b.md)\n- [DeepSeek-V4-Flash-0731 vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-nano-4b.md)\n- [DeepSeek-V4-Flash-0731 vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md)\n- [DeepSeek-V4-Flash-0731 vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-super-120b-a12b.md)\n- [DeepSeek-V4-Flash-0731 vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nemotron-3-ultra-550b-a55b.md)\n- [DeepSeek-V4-Flash-0731 vs North Mini Code 1.0](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-north-mini-code-1-0.md)\n- [DeepSeek-V4-Flash-0731 vs occamy-1.0](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-occamy-1-0.md)\n- [DeepSeek-V4-Flash-0731 vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-olmo-3-7b-think.md)\n- [DeepSeek-V4-Flash-0731 vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-122b.md)\n- [DeepSeek-V4-Flash-0731 vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-35b-a3b.md)\n- [DeepSeek-V4-Flash-0731 vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-397b.md)\n- [DeepSeek-V4-Flash-0731 vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ornith-1-5-9b.md)\n- [DeepSeek-V4-Flash-0731 vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-otel-2-0-llm-31b-it.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen-agentworld-35b-a3b.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-30b-a3b-instruct-2507.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-4b-instruct-2507.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-0-8b.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-122b-a10b.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-2b.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-397b-a17b.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3.5-4B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-4b.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-5-9b.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3.6-27B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-6-27b.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-6-35b-a3b.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-8-27b.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-8-flash-next.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-coder-30b-a3b-instruct.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-coder-next.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-omni-30b-a3b-instruct.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-2b-instruct.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-30b-a3b-instruct.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-32b-instruct.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-4b-instruct.md)\n- [DeepSeek-V4-Flash-0731 vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwen3-vl-8b-instruct.md)\n- [DeepSeek-V4-Flash-0731 vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-qwopus3-8-27b-flash-v2.md)\n- [DeepSeek-V4-Flash-0731 vs Recursive Flint](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-recursive-flint.md)\n- [DeepSeek-V4-Flash-0731 vs Ripple-65B Preview](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-ripple-65b-preview.md)\n- [DeepSeek-V4-Flash-0731 vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-sensenova-loop-9b-preview.md)\n- [DeepSeek-V4-Flash-0731 vs SmolLM3-3B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-smollm3-3b.md)\n- [DeepSeek-V4-Flash-0731 vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-spark-x2-6-4b.md)\n- [DeepSeek-V4-Flash-0731 vs Step 3.7 Flash](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-step-3-7-flash.md)\n- [DeepSeek-V4-Flash-0731 vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-swift-1-5-qwen3-8-27b.md)\n- [DeepSeek-V4-Flash-0731 vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-swift-1-5-qwen3-8-flash-next.md)\n- [DeepSeek-V4-Flash-0731 vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-thinkingcap-qwen3-8-27b.md)\n- [DeepSeek-V4-Flash-0731 vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-unlimited-ocr-2.md)\n- [DeepSeek-V4-Flash-0731 vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-wevisone-vl-2b.md)\n- [DeepSeek-V4-Flash-0731 vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-wevisone-vl-4b.md)\n- [DeepSeek-V4-Flash-0731 vs ZAYA1-8B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-zaya1-8b.md)\n- [Devstral Small 2 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/devstral-small-2-vs-nanbeige-4-2-3b.md)\n- [DiffusionGemma 26B A4B IT vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-nanbeige-4-2-3b.md)\n- [EXAONE 4.5 33B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nanbeige-4-2-3b.md)\n- [Gemma 4 12B IT vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-nanbeige-4-2-3b.md)\n- [Gemma 4 26B A4B IT vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-nanbeige-4-2-3b.md)\n- [Gemma 4 31B IT vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-nanbeige-4-2-3b.md)\n- [Gemma 4 E2B IT vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-nanbeige-4-2-3b.md)\n- [Gemma 4 E4B IT vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-nanbeige-4-2-3b.md)\n- [GLM-4.5-Air vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/glm-4-5-air-vs-nanbeige-4-2-3b.md)\n- [GLM-4.7-Flash vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/glm-4-7-flash-vs-nanbeige-4-2-3b.md)\n- [GLM-5.3-Flash vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/glm-5-3-flash-vs-nanbeige-4-2-3b.md)\n- [GLM-5.3 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/glm-5-3-vs-nanbeige-4-2-3b.md)\n- [gpt-oss-120b vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nanbeige-4-2-3b.md)\n- [gpt-oss-20b vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/gpt-oss-20b-vs-nanbeige-4-2-3b.md)\n- [Granite 4.2 30B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-nanbeige-4-2-3b.md)\n- [Granite 4.2 3B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/granite-4-2-3b-vs-nanbeige-4-2-3b.md)\n- [Granite 4.2 8B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/granite-4-2-8b-vs-nanbeige-4-2-3b.md)\n- [Hy-Memory-30B-A3B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-nanbeige-4-2-3b.md)\n- [Hy3 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/hy3-vs-nanbeige-4-2-3b.md)\n- [Inkling-Small vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/inkling-small-vs-nanbeige-4-2-3b.md)\n- [Inkling vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/inkling-vs-nanbeige-4-2-3b.md)\n- [InternVL3.5-GPT-OSS-20B-A4B-Preview vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-nanbeige-4-2-3b.md)\n- [Kimi K3.1 Pro vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-nanbeige-4-2-3b.md)\n- [Kimi K3 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/kimi-k3-vs-nanbeige-4-2-3b.md)\n- [Kolibri-1 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/kolibri-1-vs-nanbeige-4-2-3b.md)\n- [Kronos vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/kronos-vs-nanbeige-4-2-3b.md)\n- [Laguna M.1 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/laguna-m-1-vs-nanbeige-4-2-3b.md)\n- [Laguna S 2.1 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/laguna-s-2-1-vs-nanbeige-4-2-3b.md)\n- [Laguna XS 2.1 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-nanbeige-4-2-3b.md)\n- [LBS-27B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/lbs-27b-vs-nanbeige-4-2-3b.md)\n- [LFM2.5-2.6B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-nanbeige-4-2-3b.md)\n- [LFM3-1.7B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/lfm3-1-7b-vs-nanbeige-4-2-3b.md)\n- [LFM3-Audio-2B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-nanbeige-4-2-3b.md)\n- [LFM3-Omni-2B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-nanbeige-4-2-3b.md)\n- [LFM3-VL-2B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-nanbeige-4-2-3b.md)\n- [Ling-3.0-tiny vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-nanbeige-4-2-3b.md)\n- [Ling-3.1-flash-1019 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-nanbeige-4-2-3b.md)\n- [LongCat-2.5 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/longcat-2-5-vs-nanbeige-4-2-3b.md)\n- [MiMo-V2.6 Distill Qwen 9B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-nanbeige-4-2-3b.md)\n- [MiMo-V2.6-Flash-RL vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-nanbeige-4-2-3b.md)\n- [MiniCPM-o 4.5 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-nanbeige-4-2-3b.md)\n- [MiniCPM-V 4.7 1B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-nanbeige-4-2-3b.md)\n- [MiniCPM-V 4.7 35B-A3B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-nanbeige-4-2-3b.md)\n- [MiniCPM5-2B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/minicpm5-2b-vs-nanbeige-4-2-3b.md)\n- [MiniMax-M2.5 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/minimax-m2-5-vs-nanbeige-4-2-3b.md)\n- [MiniMax-M2.7 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/minimax-m2-7-vs-nanbeige-4-2-3b.md)\n- [MiniMax-M3.1-Flash vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-nanbeige-4-2-3b.md)\n- [Mistral Large 4 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/mistral-large-4-vs-nanbeige-4-2-3b.md)\n- [Muse Glimmer 30B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nanbeige-4-2-3b.md)\n- [Nanbeige4.2-3B vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nanbeige-4-3-33b.md)\n- [Nanbeige4.2-3B vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-5-bolt-e4b-4gb.md)\n- [Nanbeige4.2-3B vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-5-lightning-30b-a3b.md)\n- [Nanbeige4.2-3B vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-nano-30b-a3b.md)\n- [Nanbeige4.2-3B vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-nano-4b.md)\n- [Nanbeige4.2-3B vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md)\n- [Nanbeige4.2-3B vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-super-120b-a12b.md)\n- [Nanbeige4.2-3B vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-nemotron-3-ultra-550b-a55b.md)\n- [Nanbeige4.2-3B vs North Mini Code 1.0](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-north-mini-code-1-0.md)\n- [Nanbeige4.2-3B vs occamy-1.0](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-occamy-1-0.md)\n- [Nanbeige4.2-3B vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-olmo-3-7b-think.md)\n- [Nanbeige4.2-3B vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-122b.md)\n- [Nanbeige4.2-3B vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-35b-a3b.md)\n- [Nanbeige4.2-3B vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-397b.md)\n- [Nanbeige4.2-3B vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ornith-1-5-9b.md)\n- [Nanbeige4.2-3B vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-otel-2-0-llm-31b-it.md)\n- [Nanbeige4.2-3B vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen-agentworld-35b-a3b.md)\n- [Nanbeige4.2-3B vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-30b-a3b-instruct-2507.md)\n- [Nanbeige4.2-3B vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-4b-instruct-2507.md)\n- [Nanbeige4.2-3B vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-0-8b.md)\n- [Nanbeige4.2-3B vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-122b-a10b.md)\n- [Nanbeige4.2-3B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-2b.md)\n- [Nanbeige4.2-3B vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-397b-a17b.md)\n- [Nanbeige4.2-3B vs Qwen3.5-4B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-4b.md)\n- [Nanbeige4.2-3B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-9b.md)\n- [Nanbeige4.2-3B vs Qwen3.6-27B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-6-27b.md)\n- [Nanbeige4.2-3B vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-6-35b-a3b.md)\n- [Nanbeige4.2-3B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-27b.md)\n- [Nanbeige4.2-3B vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-8-flash-next.md)\n- [Nanbeige4.2-3B vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-coder-30b-a3b-instruct.md)\n- [Nanbeige4.2-3B vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-coder-next.md)\n- [Nanbeige4.2-3B vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-omni-30b-a3b-instruct.md)\n- [Nanbeige4.2-3B vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-2b-instruct.md)\n- [Nanbeige4.2-3B vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-30b-a3b-instruct.md)\n- [Nanbeige4.2-3B vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-32b-instruct.md)\n- [Nanbeige4.2-3B vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-4b-instruct.md)\n- [Nanbeige4.2-3B vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-vl-8b-instruct.md)\n- [Nanbeige4.2-3B vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwopus3-8-27b-flash-v2.md)\n- [Nanbeige4.2-3B vs Recursive Flint](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-recursive-flint.md)\n- [Nanbeige4.2-3B vs Ripple-65B Preview](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-ripple-65b-preview.md)\n- [Nanbeige4.2-3B vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-sensenova-loop-9b-preview.md)\n- [Nanbeige4.2-3B vs SmolLM3-3B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-smollm3-3b.md)\n- [Nanbeige4.2-3B vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-spark-x2-6-4b.md)\n- [Nanbeige4.2-3B vs Step 3.7 Flash](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-step-3-7-flash.md)\n- [Nanbeige4.2-3B vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-swift-1-5-qwen3-8-27b.md)\n- [Nanbeige4.2-3B vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-swift-1-5-qwen3-8-flash-next.md)\n- [Nanbeige4.2-3B vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-thinkingcap-qwen3-8-27b.md)\n- [Nanbeige4.2-3B vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-unlimited-ocr-2.md)\n- [Nanbeige4.2-3B vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-wevisone-vl-2b.md)\n- [Nanbeige4.2-3B vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-wevisone-vl-4b.md)\n- [Nanbeige4.2-3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-zaya1-8b.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-11", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "DeepSeek-V4-Flash-0731 vs Nanbeige4.2-3B", "url": "" } ], "description": "DeepSeek-V4-Flash-0731 and Nanbeige4.2-3B score within a point of each other for open-weight models you run yourself, 61.9 and 61 out of 100. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "DeepSeek-V4-Flash-0731 C 61.9", "Nanbeige4.2-3B C 61", "scores" ], "h1": "DeepSeek-V4-Flash-0731 vs Nanbeige4.2-3B", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/deepseek-v4-flash-0731-vs-nanbeige-4-2-3b", "published": "2026-10-01", "section": "tools", "title": "DeepSeek-V4-Flash-0731 vs Nanbeige4.2-3B for AI agents (2026)", "toc": null, "updated": "2026-11-10", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-nanbeige-4-2-3b" }, "tokens": { "markdown": 10550, "slim": 830 }, "version": 1 }