{ "data": { "a": { "slug": "cola2", "name": "Cola2", "vendor": "ByteDance (Seed)", "vendorUrl": "https://github.com/ByteDance-Seed", "kind": "weights", "category": "open-weights", "summary": "Cola2 is a research checkpoint from ByteDance Seed, a base language model of 8.8B parameters that generates text through continuous latents with a diffusion transformer and a token decoder. Not a chat model, and the weights carry no stated licence.", "url": "https://www.anchorterminal.com/tools/cola2", "markdownUrl": "https://www.anchorterminal.com/tools/cola2.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cola2.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cola2.json", "dns": "cola2.grade.anchorterminal.com", "repo": "https://huggingface.co/ByteDance-Seed/Cola2", "license": "None stated for the weights (the code is Apache 2.0)", "transports": [], "packages": [ { "registry": "huggingface", "name": "ByteDance-Seed/Cola2" } ], "auth": "none", "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. The repository is not gated (checked 2026-11-10).", "pricing": "free", "pricingNotes": "Free to download, but nothing says what you may do with the weights. The card says the code is Apache 2.0 and that the weights remain subject to their respective terms, without naming them. Running it yourself costs the hardware: 35.1 GB of F32 files, loaded as BF16 in the card's example (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://github.com/ByteDance-Seed/Cola2", "capabilities": [ "model.open-weights" ], "tags": [ "open-weights", "model", "base-model", "research", "diffusion", "continuous-latent", "no-licence", "safetensors", "custom-code", "self-hosted" ], "lastRelease": "2026-11-06", "graded": true, "anchor": { "graded": true, "score": 33.9, "grade": "F", "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": 113, "methodology": "0.7", "run": "2026-10-01", "scores": { "interface": 20, "reach": 25, "risk": 40, "upkeep": 58 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-11-10" }, "negative": 0, "verdict": "A research release, and an honest one: ByteDance Seed says it's a base model with an unconverged latent stage, scoring below Llama-3-8B on its own table. It's here for people studying continuous-latent generation. Agents can't use it as a model: 32-token completions, no chat or tools, the repository's own code to load it, and no licence on the weights.", "bestFor": "Researchers working on latent or diffusion language models who want a checkpoint to study", "strengths": [ "A documented new architecture with a paper and a reproduction protocol", "Evaluation data and checksums ship with the weights", "A security policy that points to ByteDance's security centre", "The model card says plainly what it isn't for" ], "weaknesses": [ "No licence stated for the weights", "A base model: no chat, no tools, 32 new tokens by default", "Loads only with the repository's own Python, on Transformers 4.x", "35 GB of F32 files and no quantised build", "Below Llama-3-8B on the card's own eight-task table", "No stated context length or cut-off" ], "agentNotes": [ "Don't plan to use this as your model. It completes short prompts and wasn't tuned to follow instructions", "Don't use it commercially on the strength of this listing. The weights have no stated licence", "If you study it, read modeling_cola2.py first: trust_remote_code runs it", "Pin Transformers below 5, as the card requires", "Pass a seeded torch.Generator to generate(). Output varies between runs even with greedy decoding", "Check the download with `sha256sum -c SHA256SUMS`" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "F", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 33.9 } ], "editorialScores": { "interface": 20, "reach": 25, "risk": 40, "upkeep": 58 }, "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 \"torch\u003e=2.2\" \"transformers\u003e=4.51,\u003c5\" \"safetensors\u003e=0.4\" accelerate\n# then AutoModel.from_pretrained(\"ByteDance-Seed/Cola2\", trust_remote_code=True, torch_dtype=torch.bfloat16)\n# trust_remote_code runs the three Python files in the repository. Read them first", "http": "# No server. The model runs in process through Transformers, and the GitHub repository has a\n# command-line chat script (scripts/run_chat.sh) and a benchmark runner" }, "letme": { "capability": "https://letme.dev/model.open-weights", "tool": "https://letme.dev/cola2" }, "weights": { "trainedBy": "ByteDance Seed", "builtOn": "The decoder and encoder embedding are initialised from Qwen3-4B-Base, per the GitHub model card", "params": "8.8B", "goodFor": "Research on continuous-latent text generation: short completions, cloze and multiple-choice experiments, and reproducing the paper's numbers.", "runtimes": [], "builds": [ { "name": "Cola2 (F32 safetensors)", "url": "https://huggingface.co/ByteDance-Seed/Cola2/tree/main", "who": "publisher", "precision": "f32", "sizeGB": 35.07, "memoryGB": 48, "format": "safetensors", "note": "Eight shards in 32-bit floats. The card's example loads them as BF16" } ], "run": "python -c \"from transformers import AutoModel; AutoModel.from_pretrained('ByteDance-Seed/Cola2', trust_remote_code=True)\"", "runBuild": "Cola2 (F32 safetensors)", "checked": "2026-11-10", "minMemoryGB": 48 }, "family": { "lab": "ByteDance (Seed)", "family": "Cola", "url": "https://www.anchorterminal.com/open-weights/#bytedance-seed", "others": [ { "name": "Cola-DLM", "url": "https://huggingface.co/ByteDance-Seed/Cola-DLM" } ] }, "area": "models", "provenance": { "legalEntity": "ByteDance, named in the GitHub repository's security policy. The legal entity wasn't looked up", "domain": "bytedance.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://huggingface.co/ByteDance-Seed/Cola2/commits/main", "securityTxt": "unknown", "checked": "2026-11-10", "notes": [ "The files are in the ByteDance-Seed organisation on Hugging Face and the code is in the ByteDance-Seed organisation on GitHub; each links the other.", "No licence is stated for the weights, so there are no terms to read.", "The domain's registration date and security.txt weren't looked up. The GitHub repository's SECURITY.md points to ByteDance's security centre.", "The changelog is the commit history, six commits on 6 November 2026." ], "score": 58 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cola2.json" }, "answer": "Qwen3.5-9B scores 60.5 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep.", "b": { "slug": "qwen3-5-9b", "name": "Qwen3.5-9B", "vendor": "Alibaba (Qwen team)", "vendorUrl": "https://qwen.ai", "kind": "weights", "category": "open-weights", "summary": "Qwen3.5-9B is Alibaba's open-weight dense vision-language model of 9B parameters, with thinking on by default and a 262,144-token context, published on Hugging Face in BF16 under Apache 2.0.", "url": "https://www.anchorterminal.com/tools/qwen3-5-9b", "markdownUrl": "https://www.anchorterminal.com/tools/qwen3-5-9b.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/qwen3-5-9b.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/qwen3-5-9b.json", "dns": "qwen3-5-9b.grade.anchorterminal.com", "repo": "https://huggingface.co/Qwen/Qwen3.5-9B", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "huggingface", "name": "Qwen/Qwen3.5-9B" }, { "registry": "ollama", "name": "qwen3.5:9b" } ], "auth": "none", "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. The repository is not gated (checked 2026-10-21).", "pricing": "free", "pricingNotes": "Free to download and use, commercial use included, under Apache 2.0. Running it yourself costs the hardware, 19.3 GB for the BF16 files and 6.6 GB for Ollama's default build (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": "2026-10-21" }, "docsUrl": "https://huggingface.co/Qwen/Qwen3.5-9B", "capabilities": [ "model.open-weights" ], "tags": [ "open-weights", "model", "dense", "multimodal", "reasoning", "tool-calling", "apache-2.0", "safetensors", "self-hosted" ], "lastRelease": "2026-03-02", "graded": true, "anchor": { "graded": true, "score": 60.5, "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": 69, "methodology": "0.7", "run": "2026-10-01", "scores": { "capability": 51, "interface": 70, "reach": 85, "risk": 55, "upkeep": 34 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-11-04" }, "negative": 0, "verdict": "A small dense vision-language model with trained tool calling, thinking that turns off per request and a 262,144-token context. Ollama's 4-bit build is 6.6 GB and the BF16 files 19.3 GB, and every major runtime loads it. The files haven't changed since 2 March 2026, Qwen answered none of the 40 latest discussions, and no safety results are published.", "bestFor": "Agents that want a small multimodal tool-calling model on a laptop or a 16 GB GPU, under a plain licence", "strengths": [ "Runs in vLLM, SGLang, llama.cpp, Ollama, LM Studio and released Transformers", "Ollama's 4-bit build is 6.6 GB and the BF16 files 19.3 GB", "Plain Apache 2.0, no gate, no account", "262,144 tokens native, and thinking that turns off per request", "Safetensors only, with a SHA-256 for every shard and a chat template in the repository", "Four inference providers serve it for agents without the hardware" ], "weaknesses": [ "No quantised build from Qwen itself", "No safety evaluation, agent guidance or security contact", "No reply from Qwen in any of the 40 most recent discussions", "No change to the files or card since 2 March 2026", "The tool-call format and structured output aren't documented beyond the template", "No limitations, knowledge cut-off or training data detail on the card" ], "agentNotes": [ "Smallest start is `ollama run qwen3.5:9b` (6.6 GB, q4_k_m)", "On vLLM run `vllm serve Qwen/Qwen3.5-9B --port 8000 --max-model-len 262144 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder`, or tool calls come back as text", "Tool calls use the XML style `\u003ctool_call\u003e\u003cfunction=name\u003e\u003cparameter=x\u003e`, not Hermes JSON, so use the qwen3_coder parser and not hermes", "Thinking is on by default; pass `chat_template_kwargs` with `enable_thinking` false for short tasks, since `/nothink` isn't supported", "There's no generation_config.json, so pass sampling yourself, temperature 1.0, top_p 0.95, top_k 20, presence_penalty 1.5 when thinking, or 0.7, 0.8, 20, 1.5 without", "Keep at least 128K of context when thinking, and turn on YaRN only beyond 262,144 tokens", "Validate JSON output yourself or use the runtime's guided decoding" ], "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": 60.5 } ], "editorialScores": { "capability": 51, "interface": 70, "reach": 85, "risk": 55, "upkeep": 34 }, "provenanceScore": 54, "checked": { "categories": { "capability": "2026-11-04", "interface": "2026-11-04", "reach": "2026-11-04", "risk": "2026-11-04", "upkeep": "2026-11-04" }, "last": "2026-11-04", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "ollama run qwen3.5:9b\n# or, with the card's vLLM command:\nvllm serve Qwen/Qwen3.5-9B --port 8000 --max-model-len 262144 --reasoning-parser qwen3 \\\n --enable-auto-tool-choice --tool-call-parser qwen3_coder\n# or, with llama.cpp and LM Studio's GGUF:\nllama-server -hf lmstudio-community/Qwen3.5-9B-GGUF:Q4_K_M --jinja", "http": "curl http://localhost:11434/api/chat \\\n -d '{\"model\": \"qwen3.5:9b\", \"messages\": [{\"role\": \"user\", \"content\": \"Hello!\"}]}'" }, "letme": { "capability": "https://letme.dev/model.open-weights", "tool": "https://letme.dev/qwen3-5-9b" }, "sameCompany": [ "qwen3-embedding-0-6b", "qwen3-embedding-4b", "qwen3-embedding-8b", "qwen3-vl-embedding-2b", "qwen3-vl-embedding-8b", "qwen3-asr-0-6b", "qwen3-asr-1-7b", "qwen3-tts-1-7b-customvoice", "qwen-agentworld-35b-a3b", "qwen3-30b-a3b-instruct-2507", "qwen3-4b-instruct-2507", "qwen3-coder-30b-a3b-instruct", "qwen3-coder-next", "qwen3-omni-30b-a3b-instruct", "qwen3-vl-2b-instruct", "qwen3-vl-30b-a3b-instruct", "qwen3-vl-32b-instruct", "qwen3-vl-4b-instruct", "qwen3-vl-8b-instruct", "qwen3-5-0-8b", "qwen3-5-122b-a10b", "qwen3-5-2b", "qwen3-5-397b-a17b", "qwen3-5-4b", "qwen3-6-27b", "qwen3-6-35b-a3b", "qwen3-8-27b", "qwen3-8-flash-next" ], "weights": { "trainedBy": "Alibaba (Qwen team)", "builtOn": "Qwen/Qwen3.5-9B-Base", "params": "9B", "context": 262144, "goodFor": "Dense vision-language model for local agents: text, images and video in, tool calling, thinking on by default.", "runtimes": [ "llama.cpp", "Ollama", "vLLM", "SGLang", "LM Studio", "Transformers" ], "builds": [ { "name": "ollama qwen3.5:9b", "url": "https://ollama.com/library/qwen3.5:9b", "who": "ollama", "precision": "q4_k_m", "sizeGB": 6.6, "memoryGB": 8, "format": "ollama", "runsOn": [ "Ollama" ], "note": "Q4_K_M with a BF16 vision projector (digest 56671c2ab938), also the smallest non-MLX Ollama build. Size as Ollama's tags page shows it, rounded to whole GB above 10 GB; the Linux build is the llama.cpp variant" }, { "name": "lmstudio-community Qwen3.5-9B-GGUF (Q4_K_M)", "url": "https://huggingface.co/lmstudio-community/Qwen3.5-9B-GGUF", "who": "lmstudio", "precision": "q4_k_m", "sizeGB": 6.55, "memoryGB": 8, "format": "gguf", "runsOn": [ "LM Studio", "llama.cpp" ], "note": "From lmstudio-community, LM Studio's organisation on the Hub. 5.63 GB of Q4_K_M weights plus the 0.92 GB BF16 vision projector, from the Hub's model information on 10 November 2026. Recorded after the last grading, so Reach doesn't count it yet" }, { "name": "lmstudio-community Qwen3.5-9B-GGUF (Q6_K)", "url": "https://huggingface.co/lmstudio-community/Qwen3.5-9B-GGUF", "who": "lmstudio", "precision": "q6_k", "sizeGB": 8.28, "memoryGB": 12, "format": "gguf", "runsOn": [ "LM Studio", "llama.cpp" ], "note": "From lmstudio-community, LM Studio's organisation on the Hub. 7.36 GB of Q6_K weights plus the 0.92 GB BF16 vision projector, from the Hub's model information on 10 November 2026. Recorded after the last grading, so Reach doesn't count it yet" }, { "name": "lmstudio-community Qwen3.5-9B-GGUF (Q8_0)", "url": "https://huggingface.co/lmstudio-community/Qwen3.5-9B-GGUF", "who": "lmstudio", "precision": "q8_0", "sizeGB": 10.45, "memoryGB": 16, "format": "gguf", "runsOn": [ "LM Studio", "llama.cpp" ], "note": "From lmstudio-community, LM Studio's organisation on the Hub. 9.53 GB of Q8_0 weights plus the 0.92 GB BF16 vision projector, from the Hub's model information on 10 November 2026. Recorded after the last grading, so Reach doesn't count it yet" }, { "name": "Qwen3.5-9B", "url": "https://huggingface.co/Qwen/Qwen3.5-9B", "who": "publisher", "precision": "bf16", "sizeGB": 19.3, "memoryGB": 24, "format": "safetensors", "runsOn": [ "vLLM (ROCm)", "SGLang (ROCm)" ] } ], "run": "vllm serve Qwen/Qwen3.5-9B --port 8000 --max-model-len 262144 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder", "runBuild": "Qwen3.5-9B", "checked": "2026-10-21", "minMemoryGB": 8 }, "family": { "lab": "Alibaba (Qwen)", "family": "Qwen3", "url": "https://www.anchorterminal.com/open-weights/#qwen", "others": [ { "name": "Qwen3-0.6B", "url": "https://huggingface.co/Qwen/Qwen3-0.6B", "params": "0.6B" }, { "name": "Qwen3-1.7B", "url": "https://huggingface.co/Qwen/Qwen3-1.7B", "params": "1.7B" }, { "name": "Qwen3-14B", "url": "https://huggingface.co/Qwen/Qwen3-14B", "params": "14B" }, { "name": "Qwen3-235B-A22B", "url": "https://huggingface.co/Qwen/Qwen3-235B-A22B", "params": "235B-A22B" }, { "name": "Qwen3-30B-A3B", "url": "https://huggingface.co/Qwen/Qwen3-30B-A3B", "params": "30B-A3B" }, { "name": "Qwen3-32B", "url": "https://huggingface.co/Qwen/Qwen3-32B", "params": "32B" }, { "name": "Qwen3-4B", "url": "https://huggingface.co/Qwen/Qwen3-4B", "params": "4B" }, { "name": "Qwen3-8B", "url": "https://huggingface.co/Qwen/Qwen3-8B", "params": "8B" }, { "name": "Qwen3-0.6B-Base", "url": "https://huggingface.co/Qwen/Qwen3-0.6B-Base", "params": "0.6B" }, { "name": "Qwen3-1.7B-Base", "url": "https://huggingface.co/Qwen/Qwen3-1.7B-Base", "params": "1.7B" }, { "name": "Qwen3-14B-Base", "url": "https://huggingface.co/Qwen/Qwen3-14B-Base", "params": "14B" }, { "name": "Qwen3-30B-A3B-Base", "url": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Base", "params": "30B-A3B" }, { "name": "Qwen3-4B-Base", "url": "https://huggingface.co/Qwen/Qwen3-4B-Base", "params": "4B" }, { "name": "Qwen3-8B-Base", "url": "https://huggingface.co/Qwen/Qwen3-8B-Base", "params": "8B" }, { "name": "Qwen3-Reranker-0.6B", "url": "https://huggingface.co/Qwen/Qwen3-Reranker-0.6B", "params": "0.6B" }, { "name": "Qwen3-Reranker-8B", "url": "https://huggingface.co/Qwen/Qwen3-Reranker-8B", "params": "8B" }, { "name": "Qwen3-Embedding-0.6B", "url": "https://huggingface.co/Qwen/Qwen3-Embedding-0.6B", "params": "0.6B", "listing": "https://www.anchorterminal.com/tools/qwen3-embedding-0-6b" }, { "name": "Qwen3-Embedding-4B", "url": "https://huggingface.co/Qwen/Qwen3-Embedding-4B", "params": "4B", "listing": "https://www.anchorterminal.com/tools/qwen3-embedding-4b" }, { "name": "Qwen3-Embedding-8B", "url": "https://huggingface.co/Qwen/Qwen3-Embedding-8B", "params": "8B", "listing": "https://www.anchorterminal.com/tools/qwen3-embedding-8b" }, { "name": "Qwen3-Reranker-4B", "url": "https://huggingface.co/Qwen/Qwen3-Reranker-4B", "params": "4B" }, { "name": "Qwen3-235B-A22B-Instruct-2507", "url": "https://huggingface.co/Qwen/Qwen3-235B-A22B-Instruct-2507", "params": "235B-A22B" }, { "name": "Qwen3-Coder-480B-A35B-Instruct", "url": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct", "params": "480B-A35B" }, { "name": "Qwen3-235B-A22B-Thinking-2507", "url": "https://huggingface.co/Qwen/Qwen3-235B-A22B-Thinking-2507", "params": "235B-A22B" }, { "name": "Qwen3-30B-A3B-Instruct-2507", "url": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Instruct-2507", "params": "30B-A3B", "listing": "https://www.anchorterminal.com/tools/qwen3-30b-a3b-instruct-2507" }, { "name": "Qwen3-30B-A3B-Thinking-2507", "url": "https://huggingface.co/Qwen/Qwen3-30B-A3B-Thinking-2507", "params": "30B-A3B" }, { "name": "Qwen3-Coder-30B-A3B-Instruct", "url": "https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct", "params": "30B-A3B", "listing": "https://www.anchorterminal.com/tools/qwen3-coder-30b-a3b-instruct" }, { "name": "Qwen3-4B-Instruct-2507", "url": "https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507", "params": "4B", "listing": "https://www.anchorterminal.com/tools/qwen3-4b-instruct-2507" }, { "name": "Qwen3-4B-Thinking-2507", "url": "https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507", "params": "4B" }, { "name": "Qwen3-Next-80B-A3B-Instruct", "url": "https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Instruct", "params": "80B-A3B" }, { "name": "Qwen3-Next-80B-A3B-Thinking", "url": "https://huggingface.co/Qwen/Qwen3-Next-80B-A3B-Thinking", "params": "80B-A3B" }, { "name": "Qwen3-Omni-30B-A3B-Captioner", "url": "https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Captioner", "params": "30B-A3B" }, { "name": "Qwen3-Omni-30B-A3B-Thinking", "url": "https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Thinking", "params": "30B-A3B" }, { "name": "Qwen3-Omni-30B-A3B-Instruct", "url": "https://huggingface.co/Qwen/Qwen3-Omni-30B-A3B-Instruct", "params": "30B-A3B", "listing": "https://www.anchorterminal.com/tools/qwen3-omni-30b-a3b-instruct" }, { "name": "Qwen3-VL-235B-A22B-Instruct", "url": "https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct", "params": "235B-A22B" }, { "name": "Qwen3-VL-235B-A22B-Thinking", "url": "https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Thinking", "params": "235B-A22B" }, { "name": "Qwen3Guard-Gen-0.6B", "url": "https://huggingface.co/Qwen/Qwen3Guard-Gen-0.6B", "params": "0.6B" }, { "name": "Qwen3Guard-Gen-4B", "url": "https://huggingface.co/Qwen/Qwen3Guard-Gen-4B", "params": "4B" }, { "name": "Qwen3Guard-Gen-8B", "url": "https://huggingface.co/Qwen/Qwen3Guard-Gen-8B", "params": "8B" }, { "name": "Qwen3Guard-Stream-0.6B", "url": "https://huggingface.co/Qwen/Qwen3Guard-Stream-0.6B", "params": "0.6B" }, { "name": "Qwen3Guard-Stream-4B", "url": "https://huggingface.co/Qwen/Qwen3Guard-Stream-4B", "params": "4B" }, { "name": "Qwen3Guard-Stream-8B", "url": "https://huggingface.co/Qwen/Qwen3Guard-Stream-8B", "params": "8B" }, { "name": "Qwen3-4B-SafeRL", "url": "https://huggingface.co/Qwen/Qwen3-4B-SafeRL", "params": "4B" }, { "name": "Qwen3-VL-30B-A3B-Instruct", "url": "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Instruct", "params": "30B-A3B", "listing": "https://www.anchorterminal.com/tools/qwen3-vl-30b-a3b-instruct" }, { "name": "Qwen3-VL-30B-A3B-Thinking", "url": "https://huggingface.co/Qwen/Qwen3-VL-30B-A3B-Thinking", "params": "30B-A3B" }, { "name": "Qwen3-VL-4B-Instruct", "url": "https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct", "params": "4B", "listing": "https://www.anchorterminal.com/tools/qwen3-vl-4b-instruct" }, { "name": "Qwen3-VL-4B-Thinking", "url": "https://huggingface.co/Qwen/Qwen3-VL-4B-Thinking", "params": "4B" }, { "name": "Qwen3-VL-8B-Instruct", "url": "https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct", "params": "8B", "listing": "https://www.anchorterminal.com/tools/qwen3-vl-8b-instruct" }, { "name": "Qwen3-VL-8B-Thinking", "url": "https://huggingface.co/Qwen/Qwen3-VL-8B-Thinking", "params": "8B" }, { "name": "Qwen3-VL-2B-Instruct", "url": "https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct", "params": "2B", "listing": "https://www.anchorterminal.com/tools/qwen3-vl-2b-instruct" }, { "name": "Qwen3-VL-2B-Thinking", "url": "https://huggingface.co/Qwen/Qwen3-VL-2B-Thinking", "params": "2B" }, { "name": "Qwen3-VL-32B-Instruct", "url": "https://huggingface.co/Qwen/Qwen3-VL-32B-Instruct", "params": "32B", "listing": "https://www.anchorterminal.com/tools/qwen3-vl-32b-instruct" }, { "name": "Qwen3-VL-32B-Thinking", "url": "https://huggingface.co/Qwen/Qwen3-VL-32B-Thinking", "params": "32B" }, { "name": "Qwen3-VL-Embedding-2B", "url": "https://huggingface.co/Qwen/Qwen3-VL-Embedding-2B", "params": "2B", "listing": "https://www.anchorterminal.com/tools/qwen3-vl-embedding-2b" }, { "name": "Qwen3-VL-Embedding-8B", "url": "https://huggingface.co/Qwen/Qwen3-VL-Embedding-8B", "params": "8B", "listing": "https://www.anchorterminal.com/tools/qwen3-vl-embedding-8b" }, { "name": "Qwen3-VL-Reranker-2B", "url": "https://huggingface.co/Qwen/Qwen3-VL-Reranker-2B", "params": "2B" }, { "name": "Qwen3-VL-Reranker-8B", "url": "https://huggingface.co/Qwen/Qwen3-VL-Reranker-8B", "params": "8B" }, { "name": "Qwen3-TTS-12Hz-0.6B-Base", "url": "https://huggingface.co/Qwen/Qwen3-TTS-12Hz-0.6B-Base", "params": "0.6B" }, { "name": "Qwen3-TTS-12Hz-0.6B-CustomVoice", "url": "https://huggingface.co/Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice", "params": "0.6B" }, { "name": "Qwen3-TTS-12Hz-1.7B-Base", "url": "https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-Base", "params": "1.7B" }, { "name": "Qwen3-TTS-12Hz-1.7B-CustomVoice", "url": "https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice", "params": "1.7B", "listing": "https://www.anchorterminal.com/tools/qwen3-tts-1-7b-customvoice" }, { "name": "Qwen3-TTS-12Hz-1.7B-VoiceDesign", "url": "https://huggingface.co/Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign", "params": "1.7B" }, { "name": "Qwen3-TTS-Tokenizer-12Hz", "url": "https://huggingface.co/Qwen/Qwen3-TTS-Tokenizer-12Hz", "params": "not in name" }, { "name": "Qwen3-ASR-0.6B", "url": "https://huggingface.co/Qwen/Qwen3-ASR-0.6B", "params": "0.6B", "listing": "https://www.anchorterminal.com/tools/qwen3-asr-0-6b" }, { "name": "Qwen3-ASR-1.7B", "url": "https://huggingface.co/Qwen/Qwen3-ASR-1.7B", "params": "1.7B", "listing": "https://www.anchorterminal.com/tools/qwen3-asr-1-7b" }, { "name": "Qwen3-ForcedAligner-0.6B", "url": "https://huggingface.co/Qwen/Qwen3-ForcedAligner-0.6B", "params": "0.6B" }, { "name": "Qwen3-Coder-Next", "url": "https://huggingface.co/Qwen/Qwen3-Coder-Next", "params": "not in name; Hub safetensors total 79.7B", "listing": "https://www.anchorterminal.com/tools/qwen3-coder-next" }, { "name": "Qwen3-Coder-Next-Base", "url": "https://huggingface.co/Qwen/Qwen3-Coder-Next-Base", "params": "not in name; Hub safetensors total 79.7B" }, { "name": "WebWorld-14B", "url": "https://huggingface.co/Qwen/WebWorld-14B", "params": "14B" }, { "name": "WebWorld-32B", "url": "https://huggingface.co/Qwen/WebWorld-32B", "params": "32B" }, { "name": "WebWorld-8B", "url": "https://huggingface.co/Qwen/WebWorld-8B", "params": "8B" }, { "name": "Qwen3.5-397B-A17B", "url": "https://huggingface.co/Qwen/Qwen3.5-397B-A17B", "params": "397B-A17B", "listing": "https://www.anchorterminal.com/tools/qwen3-5-397b-a17b" }, { "name": "Qwen3.5-122B-A10B", "url": "https://huggingface.co/Qwen/Qwen3.5-122B-A10B", "params": "122B-A10B", "listing": "https://www.anchorterminal.com/tools/qwen3-5-122b-a10b" }, { "name": "Qwen3.5-27B", "url": "https://huggingface.co/Qwen/Qwen3.5-27B", "params": "27B" }, { "name": "Qwen3.5-35B-A3B", "url": "https://huggingface.co/Qwen/Qwen3.5-35B-A3B", "params": "35B-A3B" }, { "name": "Qwen3.5-35B-A3B-Base", "url": "https://huggingface.co/Qwen/Qwen3.5-35B-A3B-Base", "params": "35B-A3B" }, { "name": "Qwen3.5-9B-Base", "url": "https://huggingface.co/Qwen/Qwen3.5-9B-Base", "params": "9B" }, { "name": "Qwen3.5-4B", "url": "https://huggingface.co/Qwen/Qwen3.5-4B", "params": "4B", "listing": "https://www.anchorterminal.com/tools/qwen3-5-4b" }, { "name": "Qwen3.5-4B-Base", "url": "https://huggingface.co/Qwen/Qwen3.5-4B-Base", "params": "4B" }, { "name": "Qwen3.5-0.8B", "url": "https://huggingface.co/Qwen/Qwen3.5-0.8B", "params": "0.8B", "listing": "https://www.anchorterminal.com/tools/qwen3-5-0-8b" }, { "name": "Qwen3.5-0.8B-Base", "url": "https://huggingface.co/Qwen/Qwen3.5-0.8B-Base", "params": "0.8B" }, { "name": "Qwen3.5-2B", "url": "https://huggingface.co/Qwen/Qwen3.5-2B", "params": "2B", "listing": "https://www.anchorterminal.com/tools/qwen3-5-2b" }, { "name": "Qwen3.5-2B-Base", "url": "https://huggingface.co/Qwen/Qwen3.5-2B-Base", "params": "2B" }, { "name": "Qwen3.6-35B-A3B", "url": "https://huggingface.co/Qwen/Qwen3.6-35B-A3B", "params": "35B-A3B", "listing": "https://www.anchorterminal.com/tools/qwen3-6-35b-a3b" }, { "name": "Qwen3.6-27B", "url": "https://huggingface.co/Qwen/Qwen3.6-27B", "params": "27B", "listing": "https://www.anchorterminal.com/tools/qwen3-6-27b" }, { "name": "Qwen-AgentWorld-35B-A3B", "url": "https://huggingface.co/Qwen/Qwen-AgentWorld-35B-A3B", "params": "35B-A3B" }, { "name": "Qwen3.8-27B", "url": "https://huggingface.co/Qwen/Qwen3.8-27B", "params": "27B", "listing": "https://www.anchorterminal.com/tools/qwen3-8-27b" }, { "name": "Qwen3.8-2.4T-A95B", "url": "https://huggingface.co/Qwen/Qwen3.8-2.4T-A95B", "params": "2.4T-A95B" }, { "name": "Qwen3.8-Flash-Next", "url": "https://huggingface.co/Qwen/Qwen3.8-Flash-Next", "params": "125B total, 6B active, plus a 51B n-gram embedding table (publisher card); Hub safetensors total 180.0B", "listing": "https://www.anchorterminal.com/tools/qwen3-8-flash-next" }, { "name": "Qwen-Drive-1.0-4B", "url": "https://huggingface.co/Qwen/Qwen-Drive-1.0-4B", "params": "4B" } ], "olderCount": 109, "unrestrictedCopies": 5 }, "area": "models", "provenance": { "legalEntity": "Alibaba Cloud (named in the licence's copyright line)", "domain": "qwen.ai", "domainRegistered": "2023-08-27", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-10-21", "notes": [ "The LICENSE file reads Copyright 2026 Alibaba Cloud. The registrant (Alibaba Cloud (Singapore) Private Limited) and registration date of qwen.ai are per the RDAP reading of 20 October 2026; rdap.org didn't answer on 21 October.", "Nothing is hosted, so the Apache 2.0 licence stands in for terms of service and no privacy policy is scored.", "No changelog. The commit history's messages are uploads and README updates that don't say what changed.", "qwen.ai redirects /.well-known/security.txt and /robots.txt to its home page, so there is no security.txt." ], "score": 54 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/qwen3-5-9b.json", "live": { "slug": "qwen3-5-9b", "securityTxt": { "url": "https://qwen.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-10T16:09:18.413964975Z" }, "domain": { "domain": "qwen.ai", "registered": "2023-08-27", "source": "https://rdap.identitydigital.services/rdap/domain/qwen.ai", "checkedAt": "2026-11-08T15:07:12.468678256Z" }, "updatedAt": "2026-11-10T16:09:18.413964975Z" } }, "edges": [ { "by": 60, "category": "reach", "leads": "qwen3-5-9b", "name": "Reach", "reasons": { "a": "Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB. Loaded as BF16, as the card's example does, it needs about half, but the line reads the file size. Runtimes 0, none of the six runs it in a released version. Builds 0, one set of weights and no quantised build. Terms 0, no licence for the weights. Download 10, the Hub API reports gated false 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 nothing names an API that serves it. 15 + 0 + 0 + 0 + 10 + 0 = 25.", "b": "Memory 30, Qwen publishes no quantised 9B, so the smallest 4-bit build from a runtime's own library is Ollama's qwen3.5:9b at 6.6 GB, about 7.9 GB with the fifth added, well under 16 GB. Runtimes 25, the cap, with vLLM listed in its stable docs, Transformers at released tags, llama.cpp, Ollama's library, LM Studio's own catalogue and SGLang all running the architecture. Builds 0, Qwen's FP8 and GPTQ repositories cover only the 27B and larger Qwen3.5 models, so every quantisation of the 9B is someone else's. Terms 15, plain Apache 2.0. Download 10, the repository isn't gated. Hosted 5, Together, Featherless AI, OVHcloud and DeepInfra are live for it on its Hugging Face page. 30 + 25 + 0 + 15 + 10 + 5 = 85." }, "scores": { "a": 25, "b": 85 } }, { "by": 50, "category": "interface", "leads": "qwen3-5-9b", "name": "Agent interface", "reasons": { "a": "Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer. Tool-calling format 0, none. Trained tool calling 0, not trained for tool calling. Structured output 0, Nothing about JSON or schema-constrained output. Reasoning control 0, no reasoning mode. Context 0, no context length is stated. 20 + 0 + 0 + 0 + 0 + 0 = 20.", "b": "Chat template 20, a Jinja file in the repository. Tool-calling format 10, the card names the qwen3_coder parser for vLLM and SGLang but leaves the declaration and return format to the template, and Qwen's own function-calling guide still describes Qwen3's Hermes format. Trained tool calling 20, the template renders several calls in one turn. Structured output 0, nothing documents asking the weights for JSON. Reasoning control 10, thinking turns off per request with enable_thinking false and the reasoning comes back in think tags that the qwen3 parser splits out. Context 10, 262,144 tokens native." }, "scores": { "a": 20, "b": 70 } }, { "by": 24, "category": "upkeep", "leads": "cola2", "name": "Documentation and upkeep", "reasons": { "a": "Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model card it links. Training data 15, the GitHub model card names the source (OLMo 2 pretraining text, retokenised) and the mix by stage with token counts, 346.03B in all. Last change 20, All six commits are from 6 November 2026, four days before this check, the last one updating a checksum in the README. Responsiveness 0, no discussions on the repository, so nobody has asked anything yet and the line reads as none answered, as settled in calibration. Version policy 5, A first release. File health 10, Config, files and card agree: F32 weights, a float32 config and a card that says to load them as bfloat16, with SHA256SUMS to check the download. 8 + 15 + 20 + 0 + 5 + 10 = 58.", "b": "Model card 14, it covers intended use, architecture, parameters, context and 201 languages but gives no limitations and no knowledge cut-off. Training data 5, a general line about trillions of multimodal tokens with no cut-off. Last change 5, the files and card last changed on 2 March 2026 (c202236), 247 days before 4 November, within a year. Responsiveness 0, no Qwen member replied in any of the 40 most recent of the 45 discussions that aren't pull requests (2 March to 29 September 2026). Version policy 5, a first release that was never replaced in place, with no dated notes across generations. File health 5, two reports about the files and card (15 and 51) are still open with no reply. 14 + 5 + 5 + 0 + 5 + 5 = 34. The card's highlights mention sparse Mixture-of-Experts for the series while this 9B is dense, but its own overview matches config.json, so it's not counted as a contradiction." }, "scores": { "a": 58, "b": 34 } }, { "by": 15, "category": "risk", "leads": "qwen3-5-9b", "name": "Risk", "reasons": { "a": "File safety 15, safetensors only, no .bin, .pt or .pth files (25). Provenance 15, the files sit in the ByteDance-Seed organisation, which the ByteDance-Seed GitHub repository for the model links to (10). Safety evaluation 0, no safety results. Agent guidance 5, General cautions in the GitHub model card: not instruction-tuned or safety-aligned, not for use as an assistant, for facts or advice, or for high-impact decisions about people. Licence risk 0, With no licence for the weights there is nothing to hold ByteDance to. Security programme 5, the GitHub repository's SECURITY.md sends reports to ByteDance's security centre and says how they're assessed (5). 15 + 15 + 0 + 5 + 0 + 5 = 40.", "b": "File safety 25, safetensors only and nothing from the repository runs on load or to build prompts. Provenance 15, the Qwen organisation linked from Alibaba's QwenLM README, with a SHA-256 for every shard. Safety evaluation 0, none on the card, and the Qwen3.5 blog couldn't be read, so this is couldn't check scored as absent. Agent guidance 0, the card has no prompt-injection guidance, refusal scope or cautions. Licence risk 15, Apache 2.0 with nothing added and a working licence link. Security programme 0, no SECURITY.md in Qwen's GitHub repositories, no security.txt on qwen.ai or alibabacloud.com, and whether Alibaba's group security centre takes reports about Qwen models couldn't be checked." }, "scores": { "a": 40, "b": 55 } } ], "facts": [ { "a": "Open-weight model", "b": "Open-weight model", "name": "Kind" }, { "a": "ByteDance (Seed)", "b": "Alibaba (Qwen team)", "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": "None stated for the weights (the code is Apache 2.0)", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-11-06", "b": "2026-03-02", "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": "none", "b": "2.5/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Qwen3.5-9B scores 60.5 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep.", "question": "Which is better for AI agents, Cola2 or Qwen3.5-9B?" } ], "goodFor": [ { "aheadOn": [ "Documentation and upkeep, 58 against 34" ], "also": null, "goodFor": "Researchers working on latent or diffusion language models who want a checkpoint to study", "slug": "cola2", "watchFor": "No licence stated for the weights" }, { "aheadOn": [ "Reach, 85 against 25", "Risk, 55 against 40", "Agent interface, 70 against 20" ], "also": null, "goodFor": "Agents that want a small multimodal tool-calling model on a laptop or a 16 GB GPU, under a plain licence", "slug": "qwen3-5-9b", "watchFor": "No quantised build from Qwen itself" } ], "history": null, "job": { "capability": "model.open-weights", "name": "Open-weight models you run yourself" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-cola2.json", "title": "Agents-A1-4B vs Cola2", "url": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-cola2" }, { "json": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-qwen3-5-9b.json", "title": "Agents-A1-4B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-cola2.json", "title": "Apertus v1.5 8B vs Cola2", "url": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-cola2" }, { "json": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-qwen3-5-9b.json", "title": "Apertus v1.5 8B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-cola2.json", "title": "Apodex-1.1-mini vs Cola2", "url": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-cola2" }, { "json": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-qwen3-5-9b.json", "title": "Apodex-1.1-mini vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/arete-27b-vs-cola2.json", "title": "Arete-27B vs Cola2", "url": "https://www.anchorterminal.com/compare/arete-27b-vs-cola2" }, { "json": "https://www.anchorterminal.com/compare/arete-27b-vs-qwen3-5-9b.json", "title": "Arete-27B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/arete-27b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/bigbang-v1-vs-cola2.json", "title": "BigBang-v1 vs Cola2", "url": "https://www.anchorterminal.com/compare/bigbang-v1-vs-cola2" }, { "json": "https://www.anchorterminal.com/compare/bigbang-v1-vs-qwen3-5-9b.json", "title": "BigBang-v1 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/bigbang-v1-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/carbon-x-vs-cola2.json", "title": "Carbon-X vs Cola2", "url": "https://www.anchorterminal.com/compare/carbon-x-vs-cola2" }, { "json": "https://www.anchorterminal.com/compare/carbon-x-vs-qwen3-5-9b.json", "title": "Carbon-X vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/carbon-x-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-cosmos-reason2-2b.json", "title": "Cola2 vs Cosmos-Reason2-2B", "url": "https://www.anchorterminal.com/compare/cola2-vs-cosmos-reason2-2b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-darwin-36b-opus.json", "title": "Cola2 vs Darwin-36B-Opus", "url": "https://www.anchorterminal.com/compare/cola2-vs-darwin-36b-opus" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-deepseek-v3-2.json", "title": "Cola2 vs DeepSeek-V3.2", "url": "https://www.anchorterminal.com/compare/cola2-vs-deepseek-v3-2" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-deepseek-v4-1-flash.json", "title": "Cola2 vs DeepSeek V4.1 Flash", "url": "https://www.anchorterminal.com/compare/cola2-vs-deepseek-v4-1-flash" }, { "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-devstral-small-2.json", "title": "Cola2 vs Devstral Small 2", "url": "https://www.anchorterminal.com/compare/cola2-vs-devstral-small-2" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-diffusiongemma-26b-a4b-it.json", "title": "Cola2 vs DiffusionGemma 26B A4B IT", "url": "https://www.anchorterminal.com/compare/cola2-vs-diffusiongemma-26b-a4b-it" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-exaone-4-5-33b.json", "title": "Cola2 vs EXAONE 4.5 33B", "url": "https://www.anchorterminal.com/compare/cola2-vs-exaone-4-5-33b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-gemma-4-12b-it.json", "title": "Cola2 vs Gemma 4 12B IT", "url": "https://www.anchorterminal.com/compare/cola2-vs-gemma-4-12b-it" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-gemma-4-26b-a4b-it.json", "title": "Cola2 vs Gemma 4 26B A4B IT", "url": "https://www.anchorterminal.com/compare/cola2-vs-gemma-4-26b-a4b-it" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-gemma-4-31b-it.json", "title": "Cola2 vs Gemma 4 31B IT", "url": "https://www.anchorterminal.com/compare/cola2-vs-gemma-4-31b-it" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-gemma-4-e2b-it.json", "title": "Cola2 vs Gemma 4 E2B IT", "url": "https://www.anchorterminal.com/compare/cola2-vs-gemma-4-e2b-it" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-gemma-4-e4b-it.json", "title": "Cola2 vs Gemma 4 E4B IT", "url": "https://www.anchorterminal.com/compare/cola2-vs-gemma-4-e4b-it" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-glm-4-5-air.json", "title": "Cola2 vs GLM-4.5-Air", "url": "https://www.anchorterminal.com/compare/cola2-vs-glm-4-5-air" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-glm-4-7-flash.json", "title": "Cola2 vs GLM-4.7-Flash", "url": "https://www.anchorterminal.com/compare/cola2-vs-glm-4-7-flash" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-glm-5-3.json", "title": "Cola2 vs GLM-5.3", "url": "https://www.anchorterminal.com/compare/cola2-vs-glm-5-3" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-glm-5-3-flash.json", "title": "Cola2 vs GLM-5.3-Flash", "url": "https://www.anchorterminal.com/compare/cola2-vs-glm-5-3-flash" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-gpt-oss-120b.json", "title": "Cola2 vs gpt-oss-120b", "url": "https://www.anchorterminal.com/compare/cola2-vs-gpt-oss-120b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-gpt-oss-20b.json", "title": "Cola2 vs gpt-oss-20b", "url": "https://www.anchorterminal.com/compare/cola2-vs-gpt-oss-20b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-granite-4-2-30b.json", "title": "Cola2 vs Granite 4.2 30B", "url": "https://www.anchorterminal.com/compare/cola2-vs-granite-4-2-30b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-granite-4-2-3b.json", "title": "Cola2 vs Granite 4.2 3B", "url": "https://www.anchorterminal.com/compare/cola2-vs-granite-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-granite-4-2-8b.json", "title": "Cola2 vs Granite 4.2 8B", "url": "https://www.anchorterminal.com/compare/cola2-vs-granite-4-2-8b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-hy-memory-30b-a3b.json", "title": "Cola2 vs Hy-Memory-30B-A3B", "url": "https://www.anchorterminal.com/compare/cola2-vs-hy-memory-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-hy3.json", "title": "Cola2 vs Hy3", "url": "https://www.anchorterminal.com/compare/cola2-vs-hy3" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-inkling.json", "title": "Cola2 vs Inkling", "url": "https://www.anchorterminal.com/compare/cola2-vs-inkling" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-inkling-small.json", "title": "Cola2 vs Inkling-Small", "url": "https://www.anchorterminal.com/compare/cola2-vs-inkling-small" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-internvl3-5-gpt-oss-20b-a4b-preview.json", "title": "Cola2 vs InternVL3.5-GPT-OSS-20B-A4B-Preview", "url": "https://www.anchorterminal.com/compare/cola2-vs-internvl3-5-gpt-oss-20b-a4b-preview" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-kimi-k3.json", "title": "Cola2 vs Kimi K3", "url": "https://www.anchorterminal.com/compare/cola2-vs-kimi-k3" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-kimi-k3-1-pro.json", "title": "Cola2 vs Kimi K3.1 Pro", "url": "https://www.anchorterminal.com/compare/cola2-vs-kimi-k3-1-pro" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-kolibri-1.json", "title": "Cola2 vs Kolibri-1", "url": "https://www.anchorterminal.com/compare/cola2-vs-kolibri-1" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-kronos.json", "title": "Cola2 vs Kronos", "url": "https://www.anchorterminal.com/compare/cola2-vs-kronos" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-laguna-m-1.json", "title": "Cola2 vs Laguna M.1", "url": "https://www.anchorterminal.com/compare/cola2-vs-laguna-m-1" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-laguna-s-2-1.json", "title": "Cola2 vs Laguna S 2.1", "url": "https://www.anchorterminal.com/compare/cola2-vs-laguna-s-2-1" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-laguna-xs-2-1.json", "title": "Cola2 vs Laguna XS 2.1", "url": "https://www.anchorterminal.com/compare/cola2-vs-laguna-xs-2-1" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-lbs-27b.json", "title": "Cola2 vs LBS-27B", "url": "https://www.anchorterminal.com/compare/cola2-vs-lbs-27b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-lfm2-5-2-6b.json", "title": "Cola2 vs LFM2.5-2.6B", "url": "https://www.anchorterminal.com/compare/cola2-vs-lfm2-5-2-6b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-lfm3-1-7b.json", "title": "Cola2 vs LFM3-1.7B", "url": "https://www.anchorterminal.com/compare/cola2-vs-lfm3-1-7b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-lfm3-audio-2b.json", "title": "Cola2 vs LFM3-Audio-2B", "url": "https://www.anchorterminal.com/compare/cola2-vs-lfm3-audio-2b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-lfm3-omni-2b.json", "title": "Cola2 vs LFM3-Omni-2B", "url": "https://www.anchorterminal.com/compare/cola2-vs-lfm3-omni-2b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-lfm3-vl-2b.json", "title": "Cola2 vs LFM3-VL-2B", "url": "https://www.anchorterminal.com/compare/cola2-vs-lfm3-vl-2b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-ling-3-0-tiny.json", "title": "Cola2 vs Ling-3.0-tiny", "url": "https://www.anchorterminal.com/compare/cola2-vs-ling-3-0-tiny" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-ling-3-1-flash-1019.json", "title": "Cola2 vs Ling-3.1-flash-1019", "url": "https://www.anchorterminal.com/compare/cola2-vs-ling-3-1-flash-1019" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-longcat-2-5.json", "title": "Cola2 vs LongCat-2.5", "url": "https://www.anchorterminal.com/compare/cola2-vs-longcat-2-5" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-mimo-v2-6-distill-qwen-9b.json", "title": "Cola2 vs MiMo-V2.6 Distill Qwen 9B", "url": "https://www.anchorterminal.com/compare/cola2-vs-mimo-v2-6-distill-qwen-9b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-mimo-v2-6-flash-rl.json", "title": "Cola2 vs MiMo-V2.6-Flash-RL", "url": "https://www.anchorterminal.com/compare/cola2-vs-mimo-v2-6-flash-rl" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-minicpm-o-4-5.json", "title": "Cola2 vs MiniCPM-o 4.5", "url": "https://www.anchorterminal.com/compare/cola2-vs-minicpm-o-4-5" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-minicpm-v-4-7-1b.json", "title": "Cola2 vs MiniCPM-V 4.7 1B", "url": "https://www.anchorterminal.com/compare/cola2-vs-minicpm-v-4-7-1b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-minicpm-v-4-7-35b-a3b.json", "title": "Cola2 vs MiniCPM-V 4.7 35B-A3B", "url": "https://www.anchorterminal.com/compare/cola2-vs-minicpm-v-4-7-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-minicpm5-2b.json", "title": "Cola2 vs MiniCPM5-2B", "url": "https://www.anchorterminal.com/compare/cola2-vs-minicpm5-2b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-minimax-m2-5.json", "title": "Cola2 vs MiniMax-M2.5", "url": "https://www.anchorterminal.com/compare/cola2-vs-minimax-m2-5" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-minimax-m2-7.json", "title": "Cola2 vs MiniMax-M2.7", "url": "https://www.anchorterminal.com/compare/cola2-vs-minimax-m2-7" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-minimax-m3-1-flash.json", "title": "Cola2 vs MiniMax-M3.1-Flash", "url": "https://www.anchorterminal.com/compare/cola2-vs-minimax-m3-1-flash" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-mistral-large-4.json", "title": "Cola2 vs Mistral Large 4", "url": "https://www.anchorterminal.com/compare/cola2-vs-mistral-large-4" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-muse-glimmer-30b.json", "title": "Cola2 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/cola2-vs-muse-glimmer-30b" }, { "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/cola2-vs-nanbeige-4-3-33b.json", "title": "Cola2 vs Nanbeige4.3-33B", "url": "https://www.anchorterminal.com/compare/cola2-vs-nanbeige-4-3-33b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-5-bolt-e4b-4gb.json", "title": "Cola2 vs NVIDIA Nemotron 3.5 Bolt E4B 4GB", "url": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-5-bolt-e4b-4gb" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-5-lightning-30b-a3b.json", "title": "Cola2 vs Nemotron 3.5 Lightning 30B A3B", "url": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-5-lightning-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-nano-30b-a3b.json", "title": "Cola2 vs Nemotron 3 Nano 30B A3B", "url": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-nano-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-nano-4b.json", "title": "Cola2 vs Nemotron 3 Nano 4B", "url": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-nano-4b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-nano-omni-30b-a3b-reasoning.json", "title": "Cola2 vs Nemotron 3 Nano Omni 30B A3B Reasoning", "url": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-nano-omni-30b-a3b-reasoning" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-super-120b-a12b.json", "title": "Cola2 vs Nemotron 3 Super 120B A12B", "url": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-super-120b-a12b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-ultra-550b-a55b.json", "title": "Cola2 vs Nemotron 3 Ultra 550B A55B", "url": "https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-ultra-550b-a55b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-north-mini-code-1-0.json", "title": "Cola2 vs North Mini Code 1.0", "url": "https://www.anchorterminal.com/compare/cola2-vs-north-mini-code-1-0" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-occamy-1-0.json", "title": "Cola2 vs occamy-1.0", "url": "https://www.anchorterminal.com/compare/cola2-vs-occamy-1-0" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-olmo-3-7b-think.json", "title": "Cola2 vs Olmo 3 7B Think", "url": "https://www.anchorterminal.com/compare/cola2-vs-olmo-3-7b-think" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-122b.json", "title": "Cola2 vs Ornith-1.5-122B", "url": "https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-122b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-35b-a3b.json", "title": "Cola2 vs Ornith-1.5-35B-A3B", "url": "https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-397b.json", "title": "Cola2 vs Ornith-1.5-397B", "url": "https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-397b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-9b.json", "title": "Cola2 vs Ornith-1.5-9B", "url": "https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-9b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-otel-2-0-llm-31b-it.json", "title": "Cola2 vs OTel-2.0-LLM-31B-IT", "url": "https://www.anchorterminal.com/compare/cola2-vs-otel-2-0-llm-31b-it" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen-agentworld-35b-a3b.json", "title": "Cola2 vs Qwen-AgentWorld-35B-A3B", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen-agentworld-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-30b-a3b-instruct-2507.json", "title": "Cola2 vs Qwen3-30B-A3B-Instruct-2507", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-30b-a3b-instruct-2507" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-4b-instruct-2507.json", "title": "Cola2 vs Qwen3-4B-Instruct-2507", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-4b-instruct-2507" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-0-8b.json", "title": "Cola2 vs Qwen3.5-0.8B", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-0-8b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-122b-a10b.json", "title": "Cola2 vs Qwen3.5-122B-A10B", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-122b-a10b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-2b.json", "title": "Cola2 vs Qwen3.5-2B", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-2b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-397b-a17b.json", "title": "Cola2 vs Qwen3.5-397B-A17B", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-397b-a17b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-4b.json", "title": "Cola2 vs Qwen3.5-4B", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-4b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-6-27b.json", "title": "Cola2 vs Qwen3.6-27B", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-6-27b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-6-35b-a3b.json", "title": "Cola2 vs Qwen3.6-35B-A3B", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-6-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-8-27b.json", "title": "Cola2 vs Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-8-flash-next.json", "title": "Cola2 vs Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-coder-30b-a3b-instruct.json", "title": "Cola2 vs Qwen3-Coder-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-coder-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-coder-next.json", "title": "Cola2 vs Qwen3-Coder-Next", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-coder-next" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-omni-30b-a3b-instruct.json", "title": "Cola2 vs Qwen3-Omni-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-omni-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-2b-instruct.json", "title": "Cola2 vs Qwen3-VL-2B-Instruct", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-2b-instruct" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-30b-a3b-instruct.json", "title": "Cola2 vs Qwen3-VL-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-32b-instruct.json", "title": "Cola2 vs Qwen3-VL-32B-Instruct", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-32b-instruct" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-4b-instruct.json", "title": "Cola2 vs Qwen3-VL-4B-Instruct", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-4b-instruct" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-8b-instruct.json", "title": "Cola2 vs Qwen3-VL-8B-Instruct", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-8b-instruct" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-qwopus3-8-27b-flash-v2.json", "title": "Cola2 vs Qwopus3.8-27B-Flash-V2", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwopus3-8-27b-flash-v2" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-recursive-flint.json", "title": "Cola2 vs Recursive Flint", "url": "https://www.anchorterminal.com/compare/cola2-vs-recursive-flint" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-ripple-65b-preview.json", "title": "Cola2 vs Ripple-65B Preview", "url": "https://www.anchorterminal.com/compare/cola2-vs-ripple-65b-preview" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-sensenova-loop-9b-preview.json", "title": "Cola2 vs SenseNova-Loop-9B-Preview", "url": "https://www.anchorterminal.com/compare/cola2-vs-sensenova-loop-9b-preview" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-smollm3-3b.json", "title": "Cola2 vs SmolLM3-3B", "url": "https://www.anchorterminal.com/compare/cola2-vs-smollm3-3b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-spark-x2-6-4b.json", "title": "Cola2 vs Spark-X2.6-4B", "url": "https://www.anchorterminal.com/compare/cola2-vs-spark-x2-6-4b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-step-3-7-flash.json", "title": "Cola2 vs Step 3.7 Flash", "url": "https://www.anchorterminal.com/compare/cola2-vs-step-3-7-flash" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-swift-1-5-qwen3-8-27b.json", "title": "Cola2 vs Swift 1.5 Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/cola2-vs-swift-1-5-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-swift-1-5-qwen3-8-flash-next.json", "title": "Cola2 vs Swift 1.5 Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/cola2-vs-swift-1-5-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-thinkingcap-qwen3-8-27b.json", "title": "Cola2 vs ThinkingCap (Qwen3.8 27B)", "url": "https://www.anchorterminal.com/compare/cola2-vs-thinkingcap-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-unlimited-ocr-2.json", "title": "Cola2 vs Baidu Unlimited-OCR-2", "url": "https://www.anchorterminal.com/compare/cola2-vs-unlimited-ocr-2" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-wevisone-vl-2b.json", "title": "Cola2 vs WeVisOne-VL-2B", "url": "https://www.anchorterminal.com/compare/cola2-vs-wevisone-vl-2b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-wevisone-vl-4b.json", "title": "Cola2 vs WeVisOne-VL-4B", "url": "https://www.anchorterminal.com/compare/cola2-vs-wevisone-vl-4b" }, { "json": "https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b.json", "title": "Cola2 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-qwen3-5-9b.json", "title": "Cosmos-Reason2-2B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-qwen3-5-9b.json", "title": "Darwin-36B-Opus vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-qwen3-5-9b.json", "title": "DeepSeek-V3.2 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-qwen3-5-9b.json", "title": "DeepSeek V4.1 Flash vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-qwen3-5-9b" }, { "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/devstral-small-2-vs-qwen3-5-9b.json", "title": "Devstral Small 2 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/devstral-small-2-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-qwen3-5-9b.json", "title": "DiffusionGemma 26B A4B IT vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-9b.json", "title": "EXAONE 4.5 33B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-qwen3-5-9b.json", "title": "Gemma 4 12B IT vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-qwen3-5-9b.json", "title": "Gemma 4 26B A4B IT vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-qwen3-5-9b.json", "title": "Gemma 4 31B IT vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-qwen3-5-9b.json", "title": "Gemma 4 E2B IT vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-qwen3-5-9b.json", "title": "Gemma 4 E4B IT vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-qwen3-5-9b.json", "title": "GLM-4.5-Air vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-qwen3-5-9b.json", "title": "GLM-4.7-Flash vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-qwen3-5-9b.json", "title": "GLM-5.3-Flash vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-vs-qwen3-5-9b.json", "title": "GLM-5.3 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/glm-5-3-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-9b.json", "title": "gpt-oss-120b vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-qwen3-5-9b.json", "title": "gpt-oss-20b vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-5-9b.json", "title": "Granite 4.2 30B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-3b-vs-qwen3-5-9b.json", "title": "Granite 4.2 3B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/granite-4-2-3b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-8b-vs-qwen3-5-9b.json", "title": "Granite 4.2 8B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/granite-4-2-8b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-qwen3-5-9b.json", "title": "Hy-Memory-30B-A3B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/hy3-vs-qwen3-5-9b.json", "title": "Hy3 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/hy3-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/inkling-small-vs-qwen3-5-9b.json", "title": "Inkling-Small vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/inkling-small-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/inkling-vs-qwen3-5-9b.json", "title": "Inkling vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/inkling-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-qwen3-5-9b.json", "title": "InternVL3.5-GPT-OSS-20B-A4B-Preview vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-9b.json", "title": "Kimi K3.1 Pro vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-9b.json", "title": "Kimi K3 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/kolibri-1-vs-qwen3-5-9b.json", "title": "Kolibri-1 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/kolibri-1-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-5-9b.json", "title": "Kronos vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/kronos-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/laguna-m-1-vs-qwen3-5-9b.json", "title": "Laguna M.1 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/laguna-m-1-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/laguna-s-2-1-vs-qwen3-5-9b.json", "title": "Laguna S 2.1 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/laguna-s-2-1-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-qwen3-5-9b.json", "title": "Laguna XS 2.1 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/lbs-27b-vs-qwen3-5-9b.json", "title": "LBS-27B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/lbs-27b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-qwen3-5-9b.json", "title": "LFM2.5-2.6B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-1-7b-vs-qwen3-5-9b.json", "title": "LFM3-1.7B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/lfm3-1-7b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-qwen3-5-9b.json", "title": "LFM3-Audio-2B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-qwen3-5-9b.json", "title": "LFM3-Omni-2B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-qwen3-5-9b.json", "title": "LFM3-VL-2B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-5-9b.json", "title": "Ling-3.0-tiny vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-qwen3-5-9b.json", "title": "Ling-3.1-flash-1019 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-9b.json", "title": "LongCat-2.5 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-qwen3-5-9b.json", "title": "MiMo-V2.6 Distill Qwen 9B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-qwen3-5-9b.json", "title": "MiMo-V2.6-Flash-RL vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-qwen3-5-9b.json", "title": "MiniCPM-o 4.5 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-qwen3-5-9b.json", "title": "MiniCPM-V 4.7 1B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-qwen3-5-9b.json", "title": "MiniCPM-V 4.7 35B-A3B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/minicpm5-2b-vs-qwen3-5-9b.json", "title": "MiniCPM5-2B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/minicpm5-2b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m2-5-vs-qwen3-5-9b.json", "title": "MiniMax-M2.5 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/minimax-m2-5-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m2-7-vs-qwen3-5-9b.json", "title": "MiniMax-M2.7 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/minimax-m2-7-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-qwen3-5-9b.json", "title": "MiniMax-M3.1-Flash vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/mistral-large-4-vs-qwen3-5-9b.json", "title": "Mistral Large 4 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/mistral-large-4-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-9b.json", "title": "Muse Glimmer 30B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-9b" }, { "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-4-3-33b-vs-qwen3-5-9b.json", "title": "Nanbeige4.3-33B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-qwen3-5-9b.json", "title": "NVIDIA Nemotron 3.5 Bolt E4B 4GB vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-qwen3-5-9b.json", "title": "Nemotron 3.5 Lightning 30B A3B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-nano-30b-a3b-vs-qwen3-5-9b.json", "title": "Nemotron 3 Nano 30B A3B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/nemotron-3-nano-30b-a3b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-nano-4b-vs-qwen3-5-9b.json", "title": "Nemotron 3 Nano 4B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/nemotron-3-nano-4b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-qwen3-5-9b.json", "title": "Nemotron 3 Nano Omni 30B A3B Reasoning vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-super-120b-a12b-vs-qwen3-5-9b.json", "title": "Nemotron 3 Super 120B A12B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/nemotron-3-super-120b-a12b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-ultra-550b-a55b-vs-qwen3-5-9b.json", "title": "Nemotron 3 Ultra 550B A55B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/nemotron-3-ultra-550b-a55b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-qwen3-5-9b.json", "title": "North Mini Code 1.0 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/occamy-1-0-vs-qwen3-5-9b.json", "title": "occamy-1.0 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/occamy-1-0-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-qwen3-5-9b.json", "title": "Olmo 3 7B Think vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-qwen3-5-9b.json", "title": "Ornith-1.5-122B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-qwen3-5-9b.json", "title": "Ornith-1.5-35B-A3B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-qwen3-5-9b.json", "title": "Ornith-1.5-397B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-qwen3-5-9b.json", "title": "Ornith-1.5-9B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-5-9b.json", "title": "OTel-2.0-LLM-31B-IT vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-5-9b.json", "title": "Qwen-AgentWorld-35B-A3B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-9b.json", "title": "Qwen3-30B-A3B-Instruct-2507 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-4b-instruct-2507-vs-qwen3-5-9b.json", "title": "Qwen3-4B-Instruct-2507 vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/qwen3-4b-instruct-2507-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-0-8b-vs-qwen3-5-9b.json", "title": "Qwen3.5-0.8B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/qwen3-5-0-8b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-qwen3-5-9b.json", "title": "Qwen3.5-122B-A10B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-5-9b.json", "title": "Qwen3.5-2B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-qwen3-5-9b.json", "title": "Qwen3.5-397B-A17B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-4b-vs-qwen3-5-9b.json", "title": "Qwen3.5-4B vs Qwen3.5-9B", "url": "https://www.anchorterminal.com/compare/qwen3-5-4b-vs-qwen3-5-9b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-6-27b.json", "title": "Qwen3.5-9B vs Qwen3.6-27B", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-6-27b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-6-35b-a3b.json", "title": "Qwen3.5-9B vs Qwen3.6-35B-A3B", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-6-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-8-27b.json", "title": "Qwen3.5-9B vs Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-8-flash-next.json", "title": "Qwen3.5-9B vs Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-coder-30b-a3b-instruct.json", "title": "Qwen3.5-9B vs Qwen3-Coder-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-coder-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-coder-next.json", "title": "Qwen3.5-9B vs Qwen3-Coder-Next", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-coder-next" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-omni-30b-a3b-instruct.json", "title": "Qwen3.5-9B vs Qwen3-Omni-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-omni-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-2b-instruct.json", "title": "Qwen3.5-9B vs Qwen3-VL-2B-Instruct", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-2b-instruct" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-30b-a3b-instruct.json", "title": "Qwen3.5-9B vs Qwen3-VL-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-32b-instruct.json", "title": "Qwen3.5-9B vs Qwen3-VL-32B-Instruct", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-32b-instruct" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-4b-instruct.json", "title": "Qwen3.5-9B vs Qwen3-VL-4B-Instruct", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-4b-instruct" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-8b-instruct.json", "title": "Qwen3.5-9B vs Qwen3-VL-8B-Instruct", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-8b-instruct" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwopus3-8-27b-flash-v2.json", "title": "Qwen3.5-9B vs Qwopus3.8-27B-Flash-V2", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwopus3-8-27b-flash-v2" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-recursive-flint.json", "title": "Qwen3.5-9B vs Recursive Flint", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-recursive-flint" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-ripple-65b-preview.json", "title": "Qwen3.5-9B vs Ripple-65B Preview", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-ripple-65b-preview" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-sensenova-loop-9b-preview.json", "title": "Qwen3.5-9B vs SenseNova-Loop-9B-Preview", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-sensenova-loop-9b-preview" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-smollm3-3b.json", "title": "Qwen3.5-9B vs SmolLM3-3B", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-smollm3-3b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-spark-x2-6-4b.json", "title": "Qwen3.5-9B vs Spark-X2.6-4B", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-spark-x2-6-4b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-step-3-7-flash.json", "title": "Qwen3.5-9B vs Step 3.7 Flash", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-step-3-7-flash" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-swift-1-5-qwen3-8-27b.json", "title": "Qwen3.5-9B vs Swift 1.5 Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-swift-1-5-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-swift-1-5-qwen3-8-flash-next.json", "title": "Qwen3.5-9B vs Swift 1.5 Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-swift-1-5-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-thinkingcap-qwen3-8-27b.json", "title": "Qwen3.5-9B vs ThinkingCap (Qwen3.8 27B)", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-thinkingcap-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-unlimited-ocr-2.json", "title": "Qwen3.5-9B vs Baidu Unlimited-OCR-2", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-unlimited-ocr-2" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-wevisone-vl-2b.json", "title": "Qwen3.5-9B vs WeVisOne-VL-2B", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-wevisone-vl-2b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-wevisone-vl-4b.json", "title": "Qwen3.5-9B vs WeVisOne-VL-4B", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-wevisone-vl-4b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-zaya1-8b.json", "title": "Qwen3.5-9B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-5-9b-vs-zaya1-8b" } ], "panel": null, "scores": [ { "key": "capability", "name": "Capability", "pending": true, "weight": 35 }, { "by": 60, "cola2": 25, "edge": "qwen3-5-9b", "key": "reach", "name": "Reach", "qwen3-5-9b": 85, "weight": 25 }, { "by": 15, "cola2": 40, "edge": "qwen3-5-9b", "key": "risk", "name": "Risk", "qwen3-5-9b": 55, "weight": 20 }, { "by": 50, "cola2": 20, "edge": "qwen3-5-9b", "key": "interface", "name": "Agent interface", "qwen3-5-9b": 70, "weight": 10 }, { "by": 24, "cola2": 58, "edge": "cola2", "key": "upkeep", "name": "Documentation and upkeep", "qwen3-5-9b": 34, "weight": 10 } ], "summary": "Qwen3.5-9B scores 60.5 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep. Both do open-weight models you run yourself.", "tasks": null, "tutorials": [], "verdicts": { "cola2": "A research release, and an honest one: ByteDance Seed says it's a base model with an unconverged latent stage, scoring below Llama-3-8B on its own table. It's here for people studying continuous-latent generation. Agents can't use it as a model: 32-token completions, no chat or tools, the repository's own code to load it, and no licence on the weights.", "qwen3-5-9b": "A small dense vision-language model with trained tool calling, thinking that turns off per request and a 262,144-token context. Ollama's 4-bit build is 6.6 GB and the BF16 files 19.3 GB, and every major runtime loads it. The files haven't changed since 2 March 2026, Qwen answered none of the 40 latest discussions, and no safety results are published." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-9b", "json": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-9b.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-9b.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-9b.min.md" }, "markdown": "Qwen3.5-9B scores 60.5 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep. Both do open-weight models you run yourself.\n\n- Cola2: grade F, 33.9/100, rank #160 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/cola2.md · JSON https://www.anchorterminal.com/api/v1/tools/cola2.json\n- Qwen3.5-9B: grade C, 60.5/100, rank #87 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/qwen3-5-9b.md · JSON https://www.anchorterminal.com/api/v1/tools/qwen3-5-9b.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### Cola2 (F)\n\nGood for: Researchers working on latent or diffusion language models who want a checkpoint to study\n\nAhead on:\n- Documentation and upkeep, 58 against 34\n\nWatch for: No licence stated for the weights\n\n### Qwen3.5-9B (C)\n\nGood for: Agents that want a small multimodal tool-calling model on a laptop or a 16 GB GPU, under a plain licence\n\nAhead on:\n- Reach, 85 against 25\n- Risk, 55 against 40\n- Agent interface, 70 against 20\n\nWatch for: No quantised build from Qwen itself\n\n\n## Why the edge\n\n### Reach: Qwen3.5-9B +60\n\n- Cola2 (25): Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB. Loaded as BF16, as the card's example does, it needs about half, but the line reads the file size. Runtimes 0, none of the six runs it in a released version. Builds 0, one set of weights and no quantised build. Terms 0, no licence for the weights. Download 10, the Hub API reports gated false 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 nothing names an API that serves it. 15 + 0 + 0 + 0 + 10 + 0 = 25.\n- Qwen3.5-9B (85): Memory 30, Qwen publishes no quantised 9B, so the smallest 4-bit build from a runtime's own library is Ollama's qwen3.5:9b at 6.6 GB, about 7.9 GB with the fifth added, well under 16 GB. Runtimes 25, the cap, with vLLM listed in its stable docs, Transformers at released tags, llama.cpp, Ollama's library, LM Studio's own catalogue and SGLang all running the architecture. Builds 0, Qwen's FP8 and GPTQ repositories cover only the 27B and larger Qwen3.5 models, so every quantisation of the 9B is someone else's. Terms 15, plain Apache 2.0. Download 10, the repository isn't gated. Hosted 5, Together, Featherless AI, OVHcloud and DeepInfra are live for it on its Hugging Face page. 30 + 25 + 0 + 15 + 10 + 5 = 85.\n\n### Agent interface: Qwen3.5-9B +50\n\n- Cola2 (20): Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer. Tool-calling format 0, none. Trained tool calling 0, not trained for tool calling. Structured output 0, Nothing about JSON or schema-constrained output. Reasoning control 0, no reasoning mode. Context 0, no context length is stated. 20 + 0 + 0 + 0 + 0 + 0 = 20.\n- Qwen3.5-9B (70): Chat template 20, a Jinja file in the repository. Tool-calling format 10, the card names the qwen3_coder parser for vLLM and SGLang but leaves the declaration and return format to the template, and Qwen's own function-calling guide still describes Qwen3's Hermes format. Trained tool calling 20, the template renders several calls in one turn. Structured output 0, nothing documents asking the weights for JSON. Reasoning control 10, thinking turns off per request with enable_thinking false and the reasoning comes back in think tags that the qwen3 parser splits out. Context 10, 262,144 tokens native.\n\n### Documentation and upkeep: Cola2 +24\n\n- Cola2 (58): Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model card it links. Training data 15, the GitHub model card names the source (OLMo 2 pretraining text, retokenised) and the mix by stage with token counts, 346.03B in all. Last change 20, All six commits are from 6 November 2026, four days before this check, the last one updating a checksum in the README. Responsiveness 0, no discussions on the repository, so nobody has asked anything yet and the line reads as none answered, as settled in calibration. Version policy 5, A first release. File health 10, Config, files and card agree: F32 weights, a float32 config and a card that says to load them as bfloat16, with SHA256SUMS to check the download. 8 + 15 + 20 + 0 + 5 + 10 = 58.\n- Qwen3.5-9B (34): Model card 14, it covers intended use, architecture, parameters, context and 201 languages but gives no limitations and no knowledge cut-off. Training data 5, a general line about trillions of multimodal tokens with no cut-off. Last change 5, the files and card last changed on 2 March 2026 (c202236), 247 days before 4 November, within a year. Responsiveness 0, no Qwen member replied in any of the 40 most recent of the 45 discussions that aren't pull requests (2 March to 29 September 2026). Version policy 5, a first release that was never replaced in place, with no dated notes across generations. File health 5, two reports about the files and card (15 and 51) are still open with no reply. 14 + 5 + 5 + 0 + 5 + 5 = 34. The card's highlights mention sparse Mixture-of-Experts for the series while this 9B is dense, but its own overview matches config.json, so it's not counted as a contradiction.\n\n### Risk: Qwen3.5-9B +15\n\n- Cola2 (40): File safety 15, safetensors only, no .bin, .pt or .pth files (25). Provenance 15, the files sit in the ByteDance-Seed organisation, which the ByteDance-Seed GitHub repository for the model links to (10). Safety evaluation 0, no safety results. Agent guidance 5, General cautions in the GitHub model card: not instruction-tuned or safety-aligned, not for use as an assistant, for facts or advice, or for high-impact decisions about people. Licence risk 0, With no licence for the weights there is nothing to hold ByteDance to. Security programme 5, the GitHub repository's SECURITY.md sends reports to ByteDance's security centre and says how they're assessed (5). 15 + 15 + 0 + 5 + 0 + 5 = 40.\n- Qwen3.5-9B (55): File safety 25, safetensors only and nothing from the repository runs on load or to build prompts. Provenance 15, the Qwen organisation linked from Alibaba's QwenLM README, with a SHA-256 for every shard. Safety evaluation 0, none on the card, and the Qwen3.5 blog couldn't be read, so this is couldn't check scored as absent. Agent guidance 0, the card has no prompt-injection guidance, refusal scope or cautions. Licence risk 15, Apache 2.0 with nothing added and a working licence link. Security programme 0, no SECURITY.md in Qwen's GitHub repositories, no security.txt on qwen.ai or alibabacloud.com, and whether Alibaba's group security centre takes reports about Qwen models couldn't be checked.\n\n## Score by category\n\n| Category | Weight | Cola2 | Qwen3.5-9B | Edge |\n| --- | --- | --- | --- | --- |\n| Capability | 35%, pending | pending | pending | not scored in this run |\n| Reach | 25% (25 this run) | 25 | 85 | Qwen3.5-9B +60 |\n| Risk | 20% (20 this run) | 40 | 55 | Qwen3.5-9B +15 |\n| Agent interface | 10% (10 this run) | 20 | 70 | Qwen3.5-9B +50 |\n| Documentation and upkeep | 10% (10 this run) | 58 | 34 | Cola2 +24 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **33.9 · F** | **60.5 · C** | |\n\n## Facts side by side\n\n| Fact | Cola2 | Qwen3.5-9B |\n| --- | --- | --- |\n| Kind | Open-weight model | Open-weight model |\n| Vendor | ByteDance (Seed) | Alibaba (Qwen team) |\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 | None stated for the weights (the code is Apache 2.0) | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-11-06 | 2026-03-02 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Agent reviews | none | 2.5/5 (4) |\n\n## Verdicts\n\n**Cola2.** A research release, and an honest one: ByteDance Seed says it's a base model with an unconverged latent stage, scoring below Llama-3-8B on its own table. It's here for people studying continuous-latent generation. Agents can't use it as a model: 32-token completions, no chat or tools, the repository's own code to load it, and no licence on the weights.\n\n**Qwen3.5-9B.** A small dense vision-language model with trained tool calling, thinking that turns off per request and a 262,144-token context. Ollama's 4-bit build is 6.6 GB and the BF16 files 19.3 GB, and every major runtime loads it. The files haven't changed since 2 March 2026, Qwen answered none of the 40 latest discussions, and no safety results are published.\n\n## Before you call either\n\n### Cola2\n\n1. Don't plan to use this as your model. It completes short prompts and wasn't tuned to follow instructions\n2. Don't use it commercially on the strength of this listing. The weights have no stated licence\n3. If you study it, read modeling_cola2.py first: trust_remote_code runs it\n4. Pin Transformers below 5, as the card requires\n5. Pass a seeded torch.Generator to generate(). Output varies between runs even with greedy decoding\n6. Check the download with `sha256sum -c SHA256SUMS`\n\n### Qwen3.5-9B\n\n1. Smallest start is `ollama run qwen3.5:9b` (6.6 GB, q4_k_m)\n2. On vLLM run `vllm serve Qwen/Qwen3.5-9B --port 8000 --max-model-len 262144 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder`, or tool calls come back as text\n3. Tool calls use the XML style `\u003ctool_call\u003e\u003cfunction=name\u003e\u003cparameter=x\u003e`, not Hermes JSON, so use the qwen3_coder parser and not hermes\n4. Thinking is on by default; pass `chat_template_kwargs` with `enable_thinking` false for short tasks, since `/nothink` isn't supported\n5. There's no generation_config.json, so pass sampling yourself, temperature 1.0, top_p 0.95, top_k 20, presence_penalty 1.5 when thinking, or 0.7, 0.8, 20, 1.5 without\n6. Keep at least 128K of context when thinking, and turn on YaRN only beyond 262,144 tokens\n7. Validate JSON output yourself or use the runtime's guided decoding\n\n## Questions\n\n### Which is better for AI agents, Cola2 or Qwen3.5-9B?\n\nQwen3.5-9B scores 60.5 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-9b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-9b.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cola2\", \"b\": \"qwen3-5-9b\"}`. From a terminal: `anchor compare cola2 qwen3-5-9b`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cola2.json and https://www.anchorterminal.com/api/v1/tools/qwen3-5-9b.json\n\n## Other comparisons with Cola2 or Qwen3.5-9B\n\n- [Agents-A1-4B vs Cola2](https://www.anchorterminal.com/compare/agents-a1-4b-vs-cola2.md)\n- [Agents-A1-4B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/agents-a1-4b-vs-qwen3-5-9b.md)\n- [Apertus v1.5 8B vs Cola2](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-cola2.md)\n- [Apertus v1.5 8B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-qwen3-5-9b.md)\n- [Apodex-1.1-mini vs Cola2](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-cola2.md)\n- [Apodex-1.1-mini vs Qwen3.5-9B](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-qwen3-5-9b.md)\n- [Arete-27B vs Cola2](https://www.anchorterminal.com/compare/arete-27b-vs-cola2.md)\n- [Arete-27B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/arete-27b-vs-qwen3-5-9b.md)\n- [BigBang-v1 vs Cola2](https://www.anchorterminal.com/compare/bigbang-v1-vs-cola2.md)\n- [BigBang-v1 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/bigbang-v1-vs-qwen3-5-9b.md)\n- [Carbon-X vs Cola2](https://www.anchorterminal.com/compare/carbon-x-vs-cola2.md)\n- [Carbon-X vs Qwen3.5-9B](https://www.anchorterminal.com/compare/carbon-x-vs-qwen3-5-9b.md)\n- [Cola2 vs Cosmos-Reason2-2B](https://www.anchorterminal.com/compare/cola2-vs-cosmos-reason2-2b.md)\n- [Cola2 vs Darwin-36B-Opus](https://www.anchorterminal.com/compare/cola2-vs-darwin-36b-opus.md)\n- [Cola2 vs DeepSeek-V3.2](https://www.anchorterminal.com/compare/cola2-vs-deepseek-v3-2.md)\n- [Cola2 vs DeepSeek V4.1 Flash](https://www.anchorterminal.com/compare/cola2-vs-deepseek-v4-1-flash.md)\n- [Cola2 vs DeepSeek-V4-Flash-0731](https://www.anchorterminal.com/compare/cola2-vs-deepseek-v4-flash-0731.md)\n- [Cola2 vs Devstral Small 2](https://www.anchorterminal.com/compare/cola2-vs-devstral-small-2.md)\n- [Cola2 vs DiffusionGemma 26B A4B IT](https://www.anchorterminal.com/compare/cola2-vs-diffusiongemma-26b-a4b-it.md)\n- [Cola2 vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/cola2-vs-exaone-4-5-33b.md)\n- [Cola2 vs Gemma 4 12B IT](https://www.anchorterminal.com/compare/cola2-vs-gemma-4-12b-it.md)\n- [Cola2 vs Gemma 4 26B A4B IT](https://www.anchorterminal.com/compare/cola2-vs-gemma-4-26b-a4b-it.md)\n- [Cola2 vs Gemma 4 31B IT](https://www.anchorterminal.com/compare/cola2-vs-gemma-4-31b-it.md)\n- [Cola2 vs Gemma 4 E2B IT](https://www.anchorterminal.com/compare/cola2-vs-gemma-4-e2b-it.md)\n- [Cola2 vs Gemma 4 E4B IT](https://www.anchorterminal.com/compare/cola2-vs-gemma-4-e4b-it.md)\n- [Cola2 vs GLM-4.5-Air](https://www.anchorterminal.com/compare/cola2-vs-glm-4-5-air.md)\n- [Cola2 vs GLM-4.7-Flash](https://www.anchorterminal.com/compare/cola2-vs-glm-4-7-flash.md)\n- [Cola2 vs GLM-5.3](https://www.anchorterminal.com/compare/cola2-vs-glm-5-3.md)\n- [Cola2 vs GLM-5.3-Flash](https://www.anchorterminal.com/compare/cola2-vs-glm-5-3-flash.md)\n- [Cola2 vs gpt-oss-120b](https://www.anchorterminal.com/compare/cola2-vs-gpt-oss-120b.md)\n- [Cola2 vs gpt-oss-20b](https://www.anchorterminal.com/compare/cola2-vs-gpt-oss-20b.md)\n- [Cola2 vs Granite 4.2 30B](https://www.anchorterminal.com/compare/cola2-vs-granite-4-2-30b.md)\n- [Cola2 vs Granite 4.2 3B](https://www.anchorterminal.com/compare/cola2-vs-granite-4-2-3b.md)\n- [Cola2 vs Granite 4.2 8B](https://www.anchorterminal.com/compare/cola2-vs-granite-4-2-8b.md)\n- [Cola2 vs Hy-Memory-30B-A3B](https://www.anchorterminal.com/compare/cola2-vs-hy-memory-30b-a3b.md)\n- [Cola2 vs Hy3](https://www.anchorterminal.com/compare/cola2-vs-hy3.md)\n- [Cola2 vs Inkling](https://www.anchorterminal.com/compare/cola2-vs-inkling.md)\n- [Cola2 vs Inkling-Small](https://www.anchorterminal.com/compare/cola2-vs-inkling-small.md)\n- [Cola2 vs InternVL3.5-GPT-OSS-20B-A4B-Preview](https://www.anchorterminal.com/compare/cola2-vs-internvl3-5-gpt-oss-20b-a4b-preview.md)\n- [Cola2 vs Kimi K3](https://www.anchorterminal.com/compare/cola2-vs-kimi-k3.md)\n- [Cola2 vs Kimi K3.1 Pro](https://www.anchorterminal.com/compare/cola2-vs-kimi-k3-1-pro.md)\n- [Cola2 vs Kolibri-1](https://www.anchorterminal.com/compare/cola2-vs-kolibri-1.md)\n- [Cola2 vs Kronos](https://www.anchorterminal.com/compare/cola2-vs-kronos.md)\n- [Cola2 vs Laguna M.1](https://www.anchorterminal.com/compare/cola2-vs-laguna-m-1.md)\n- [Cola2 vs Laguna S 2.1](https://www.anchorterminal.com/compare/cola2-vs-laguna-s-2-1.md)\n- [Cola2 vs Laguna XS 2.1](https://www.anchorterminal.com/compare/cola2-vs-laguna-xs-2-1.md)\n- [Cola2 vs LBS-27B](https://www.anchorterminal.com/compare/cola2-vs-lbs-27b.md)\n- [Cola2 vs LFM2.5-2.6B](https://www.anchorterminal.com/compare/cola2-vs-lfm2-5-2-6b.md)\n- [Cola2 vs LFM3-1.7B](https://www.anchorterminal.com/compare/cola2-vs-lfm3-1-7b.md)\n- [Cola2 vs LFM3-Audio-2B](https://www.anchorterminal.com/compare/cola2-vs-lfm3-audio-2b.md)\n- [Cola2 vs LFM3-Omni-2B](https://www.anchorterminal.com/compare/cola2-vs-lfm3-omni-2b.md)\n- [Cola2 vs LFM3-VL-2B](https://www.anchorterminal.com/compare/cola2-vs-lfm3-vl-2b.md)\n- [Cola2 vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/cola2-vs-ling-3-0-tiny.md)\n- [Cola2 vs Ling-3.1-flash-1019](https://www.anchorterminal.com/compare/cola2-vs-ling-3-1-flash-1019.md)\n- [Cola2 vs LongCat-2.5](https://www.anchorterminal.com/compare/cola2-vs-longcat-2-5.md)\n- [Cola2 vs MiMo-V2.6 Distill Qwen 9B](https://www.anchorterminal.com/compare/cola2-vs-mimo-v2-6-distill-qwen-9b.md)\n- [Cola2 vs MiMo-V2.6-Flash-RL](https://www.anchorterminal.com/compare/cola2-vs-mimo-v2-6-flash-rl.md)\n- [Cola2 vs MiniCPM-o 4.5](https://www.anchorterminal.com/compare/cola2-vs-minicpm-o-4-5.md)\n- [Cola2 vs MiniCPM-V 4.7 1B](https://www.anchorterminal.com/compare/cola2-vs-minicpm-v-4-7-1b.md)\n- [Cola2 vs MiniCPM-V 4.7 35B-A3B](https://www.anchorterminal.com/compare/cola2-vs-minicpm-v-4-7-35b-a3b.md)\n- [Cola2 vs MiniCPM5-2B](https://www.anchorterminal.com/compare/cola2-vs-minicpm5-2b.md)\n- [Cola2 vs MiniMax-M2.5](https://www.anchorterminal.com/compare/cola2-vs-minimax-m2-5.md)\n- [Cola2 vs MiniMax-M2.7](https://www.anchorterminal.com/compare/cola2-vs-minimax-m2-7.md)\n- [Cola2 vs MiniMax-M3.1-Flash](https://www.anchorterminal.com/compare/cola2-vs-minimax-m3-1-flash.md)\n- [Cola2 vs Mistral Large 4](https://www.anchorterminal.com/compare/cola2-vs-mistral-large-4.md)\n- [Cola2 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/cola2-vs-muse-glimmer-30b.md)\n- [Cola2 vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/cola2-vs-nanbeige-4-2-3b.md)\n- [Cola2 vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/cola2-vs-nanbeige-4-3-33b.md)\n- [Cola2 vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-5-bolt-e4b-4gb.md)\n- [Cola2 vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-5-lightning-30b-a3b.md)\n- [Cola2 vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-nano-30b-a3b.md)\n- [Cola2 vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-nano-4b.md)\n- [Cola2 vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md)\n- [Cola2 vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-super-120b-a12b.md)\n- [Cola2 vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/cola2-vs-nemotron-3-ultra-550b-a55b.md)\n- [Cola2 vs North Mini Code 1.0](https://www.anchorterminal.com/compare/cola2-vs-north-mini-code-1-0.md)\n- [Cola2 vs occamy-1.0](https://www.anchorterminal.com/compare/cola2-vs-occamy-1-0.md)\n- [Cola2 vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/cola2-vs-olmo-3-7b-think.md)\n- [Cola2 vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-122b.md)\n- [Cola2 vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-35b-a3b.md)\n- [Cola2 vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-397b.md)\n- [Cola2 vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/cola2-vs-ornith-1-5-9b.md)\n- [Cola2 vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/cola2-vs-otel-2-0-llm-31b-it.md)\n- [Cola2 vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/cola2-vs-qwen-agentworld-35b-a3b.md)\n- [Cola2 vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/cola2-vs-qwen3-30b-a3b-instruct-2507.md)\n- [Cola2 vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/cola2-vs-qwen3-4b-instruct-2507.md)\n- [Cola2 vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-0-8b.md)\n- [Cola2 vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-122b-a10b.md)\n- [Cola2 vs Qwen3.5-2B](https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-2b.md)\n- [Cola2 vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-397b-a17b.md)\n- [Cola2 vs Qwen3.5-4B](https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-4b.md)\n- [Cola2 vs Qwen3.6-27B](https://www.anchorterminal.com/compare/cola2-vs-qwen3-6-27b.md)\n- [Cola2 vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/cola2-vs-qwen3-6-35b-a3b.md)\n- [Cola2 vs Qwen3.8-27B](https://www.anchorterminal.com/compare/cola2-vs-qwen3-8-27b.md)\n- [Cola2 vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/cola2-vs-qwen3-8-flash-next.md)\n- [Cola2 vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-coder-30b-a3b-instruct.md)\n- [Cola2 vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/cola2-vs-qwen3-coder-next.md)\n- [Cola2 vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-omni-30b-a3b-instruct.md)\n- [Cola2 vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-2b-instruct.md)\n- [Cola2 vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-30b-a3b-instruct.md)\n- [Cola2 vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-32b-instruct.md)\n- [Cola2 vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-4b-instruct.md)\n- [Cola2 vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-8b-instruct.md)\n- [Cola2 vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/cola2-vs-qwopus3-8-27b-flash-v2.md)\n- [Cola2 vs Recursive Flint](https://www.anchorterminal.com/compare/cola2-vs-recursive-flint.md)\n- [Cola2 vs Ripple-65B Preview](https://www.anchorterminal.com/compare/cola2-vs-ripple-65b-preview.md)\n- [Cola2 vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/cola2-vs-sensenova-loop-9b-preview.md)\n- [Cola2 vs SmolLM3-3B](https://www.anchorterminal.com/compare/cola2-vs-smollm3-3b.md)\n- [Cola2 vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/cola2-vs-spark-x2-6-4b.md)\n- [Cola2 vs Step 3.7 Flash](https://www.anchorterminal.com/compare/cola2-vs-step-3-7-flash.md)\n- [Cola2 vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/cola2-vs-swift-1-5-qwen3-8-27b.md)\n- [Cola2 vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/cola2-vs-swift-1-5-qwen3-8-flash-next.md)\n- [Cola2 vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/cola2-vs-thinkingcap-qwen3-8-27b.md)\n- [Cola2 vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/cola2-vs-unlimited-ocr-2.md)\n- [Cola2 vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/cola2-vs-wevisone-vl-2b.md)\n- [Cola2 vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/cola2-vs-wevisone-vl-4b.md)\n- [Cola2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b.md)\n- [Cosmos-Reason2-2B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-qwen3-5-9b.md)\n- [Darwin-36B-Opus vs Qwen3.5-9B](https://www.anchorterminal.com/compare/darwin-36b-opus-vs-qwen3-5-9b.md)\n- [DeepSeek-V3.2 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/deepseek-v3-2-vs-qwen3-5-9b.md)\n- [DeepSeek V4.1 Flash vs Qwen3.5-9B](https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-qwen3-5-9b.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- [Devstral Small 2 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/devstral-small-2-vs-qwen3-5-9b.md)\n- [DiffusionGemma 26B A4B IT vs Qwen3.5-9B](https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-qwen3-5-9b.md)\n- [EXAONE 4.5 33B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-9b.md)\n- [Gemma 4 12B IT vs Qwen3.5-9B](https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-qwen3-5-9b.md)\n- [Gemma 4 26B A4B IT vs Qwen3.5-9B](https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-qwen3-5-9b.md)\n- [Gemma 4 31B IT vs Qwen3.5-9B](https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-qwen3-5-9b.md)\n- [Gemma 4 E2B IT vs Qwen3.5-9B](https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-qwen3-5-9b.md)\n- [Gemma 4 E4B IT vs Qwen3.5-9B](https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-qwen3-5-9b.md)\n- [GLM-4.5-Air vs Qwen3.5-9B](https://www.anchorterminal.com/compare/glm-4-5-air-vs-qwen3-5-9b.md)\n- [GLM-4.7-Flash vs Qwen3.5-9B](https://www.anchorterminal.com/compare/glm-4-7-flash-vs-qwen3-5-9b.md)\n- [GLM-5.3-Flash vs Qwen3.5-9B](https://www.anchorterminal.com/compare/glm-5-3-flash-vs-qwen3-5-9b.md)\n- [GLM-5.3 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/glm-5-3-vs-qwen3-5-9b.md)\n- [gpt-oss-120b vs Qwen3.5-9B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-9b.md)\n- [gpt-oss-20b vs Qwen3.5-9B](https://www.anchorterminal.com/compare/gpt-oss-20b-vs-qwen3-5-9b.md)\n- [Granite 4.2 30B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-qwen3-5-9b.md)\n- [Granite 4.2 3B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/granite-4-2-3b-vs-qwen3-5-9b.md)\n- [Granite 4.2 8B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/granite-4-2-8b-vs-qwen3-5-9b.md)\n- [Hy-Memory-30B-A3B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-qwen3-5-9b.md)\n- [Hy3 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/hy3-vs-qwen3-5-9b.md)\n- [Inkling-Small vs Qwen3.5-9B](https://www.anchorterminal.com/compare/inkling-small-vs-qwen3-5-9b.md)\n- [Inkling vs Qwen3.5-9B](https://www.anchorterminal.com/compare/inkling-vs-qwen3-5-9b.md)\n- [InternVL3.5-GPT-OSS-20B-A4B-Preview vs Qwen3.5-9B](https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-qwen3-5-9b.md)\n- [Kimi K3.1 Pro vs Qwen3.5-9B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-qwen3-5-9b.md)\n- [Kimi K3 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/kimi-k3-vs-qwen3-5-9b.md)\n- [Kolibri-1 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/kolibri-1-vs-qwen3-5-9b.md)\n- [Kronos vs Qwen3.5-9B](https://www.anchorterminal.com/compare/kronos-vs-qwen3-5-9b.md)\n- [Laguna M.1 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/laguna-m-1-vs-qwen3-5-9b.md)\n- [Laguna S 2.1 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/laguna-s-2-1-vs-qwen3-5-9b.md)\n- [Laguna XS 2.1 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-qwen3-5-9b.md)\n- [LBS-27B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/lbs-27b-vs-qwen3-5-9b.md)\n- [LFM2.5-2.6B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-qwen3-5-9b.md)\n- [LFM3-1.7B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/lfm3-1-7b-vs-qwen3-5-9b.md)\n- [LFM3-Audio-2B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-qwen3-5-9b.md)\n- [LFM3-Omni-2B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-qwen3-5-9b.md)\n- [LFM3-VL-2B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-qwen3-5-9b.md)\n- [Ling-3.0-tiny vs Qwen3.5-9B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-qwen3-5-9b.md)\n- [Ling-3.1-flash-1019 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-qwen3-5-9b.md)\n- [LongCat-2.5 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-9b.md)\n- [MiMo-V2.6 Distill Qwen 9B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-qwen3-5-9b.md)\n- [MiMo-V2.6-Flash-RL vs Qwen3.5-9B](https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-qwen3-5-9b.md)\n- [MiniCPM-o 4.5 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-qwen3-5-9b.md)\n- [MiniCPM-V 4.7 1B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-qwen3-5-9b.md)\n- [MiniCPM-V 4.7 35B-A3B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-qwen3-5-9b.md)\n- [MiniCPM5-2B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/minicpm5-2b-vs-qwen3-5-9b.md)\n- [MiniMax-M2.5 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/minimax-m2-5-vs-qwen3-5-9b.md)\n- [MiniMax-M2.7 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/minimax-m2-7-vs-qwen3-5-9b.md)\n- [MiniMax-M3.1-Flash vs Qwen3.5-9B](https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-qwen3-5-9b.md)\n- [Mistral Large 4 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/mistral-large-4-vs-qwen3-5-9b.md)\n- [Muse Glimmer 30B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-9b.md)\n- [Nanbeige4.2-3B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-qwen3-5-9b.md)\n- [Nanbeige4.3-33B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-qwen3-5-9b.md)\n- [NVIDIA Nemotron 3.5 Bolt E4B 4GB vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-qwen3-5-9b.md)\n- [Nemotron 3.5 Lightning 30B A3B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-qwen3-5-9b.md)\n- [Nemotron 3 Nano 30B A3B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nemotron-3-nano-30b-a3b-vs-qwen3-5-9b.md)\n- [Nemotron 3 Nano 4B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nemotron-3-nano-4b-vs-qwen3-5-9b.md)\n- [Nemotron 3 Nano Omni 30B A3B Reasoning vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-qwen3-5-9b.md)\n- [Nemotron 3 Super 120B A12B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nemotron-3-super-120b-a12b-vs-qwen3-5-9b.md)\n- [Nemotron 3 Ultra 550B A55B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/nemotron-3-ultra-550b-a55b-vs-qwen3-5-9b.md)\n- [North Mini Code 1.0 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-qwen3-5-9b.md)\n- [occamy-1.0 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/occamy-1-0-vs-qwen3-5-9b.md)\n- [Olmo 3 7B Think vs Qwen3.5-9B](https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-qwen3-5-9b.md)\n- [Ornith-1.5-122B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-qwen3-5-9b.md)\n- [Ornith-1.5-35B-A3B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-qwen3-5-9b.md)\n- [Ornith-1.5-397B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-qwen3-5-9b.md)\n- [Ornith-1.5-9B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-qwen3-5-9b.md)\n- [OTel-2.0-LLM-31B-IT vs Qwen3.5-9B](https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-qwen3-5-9b.md)\n- [Qwen-AgentWorld-35B-A3B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-qwen3-5-9b.md)\n- [Qwen3-30B-A3B-Instruct-2507 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-qwen3-5-9b.md)\n- [Qwen3-4B-Instruct-2507 vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-4b-instruct-2507-vs-qwen3-5-9b.md)\n- [Qwen3.5-0.8B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-0-8b-vs-qwen3-5-9b.md)\n- [Qwen3.5-122B-A10B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-qwen3-5-9b.md)\n- [Qwen3.5-2B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-qwen3-5-9b.md)\n- [Qwen3.5-397B-A17B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-qwen3-5-9b.md)\n- [Qwen3.5-4B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/qwen3-5-4b-vs-qwen3-5-9b.md)\n- [Qwen3.5-9B vs Qwen3.6-27B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-6-27b.md)\n- [Qwen3.5-9B vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-6-35b-a3b.md)\n- [Qwen3.5-9B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-8-27b.md)\n- [Qwen3.5-9B vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-8-flash-next.md)\n- [Qwen3.5-9B vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-coder-30b-a3b-instruct.md)\n- [Qwen3.5-9B vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-coder-next.md)\n- [Qwen3.5-9B vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-omni-30b-a3b-instruct.md)\n- [Qwen3.5-9B vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-2b-instruct.md)\n- [Qwen3.5-9B vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-30b-a3b-instruct.md)\n- [Qwen3.5-9B vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-32b-instruct.md)\n- [Qwen3.5-9B vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-4b-instruct.md)\n- [Qwen3.5-9B vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwen3-vl-8b-instruct.md)\n- [Qwen3.5-9B vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-qwopus3-8-27b-flash-v2.md)\n- [Qwen3.5-9B vs Recursive Flint](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-recursive-flint.md)\n- [Qwen3.5-9B vs Ripple-65B Preview](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-ripple-65b-preview.md)\n- [Qwen3.5-9B vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-sensenova-loop-9b-preview.md)\n- [Qwen3.5-9B vs SmolLM3-3B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-smollm3-3b.md)\n- [Qwen3.5-9B vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-spark-x2-6-4b.md)\n- [Qwen3.5-9B vs Step 3.7 Flash](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-step-3-7-flash.md)\n- [Qwen3.5-9B vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-swift-1-5-qwen3-8-27b.md)\n- [Qwen3.5-9B vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-swift-1-5-qwen3-8-flash-next.md)\n- [Qwen3.5-9B vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-thinkingcap-qwen3-8-27b.md)\n- [Qwen3.5-9B vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-unlimited-ocr-2.md)\n- [Qwen3.5-9B vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-wevisone-vl-2b.md)\n- [Qwen3.5-9B vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-wevisone-vl-4b.md)\n- [Qwen3.5-9B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-9b-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": "Cola2 vs Qwen3.5-9B", "url": "" } ], "description": "Qwen3.5-9B scores 60.5 (C) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Cola2 F 33.9", "Qwen3.5-9B C 60.5", "scores" ], "h1": "Cola2 vs Qwen3.5-9B", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/cola2-vs-qwen3-5-9b", "published": "2026-10-01", "section": "tools", "title": "Cola2 vs Qwen3.5-9B for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-10", "url": "https://www.anchorterminal.com/compare/cola2-vs-qwen3-5-9b" }, "tokens": { "markdown": 8750, "slim": 730 }, "version": 1 }