{ "data": { "a": { "slug": "muse-glimmer-30b", "name": "Muse Glimmer 30B", "vendor": "Meta", "vendorUrl": "https://dev.meta.ai/docs/muse-glimmer", "kind": "weights", "category": "open-weights", "summary": "Muse Glimmer 30B is Meta's open-weight dense multimodal model for local agent work, 29.6B parameters with text and image input and a 128K-token context, published on Hugging Face under Apache 2.0 with GGUF and ExecuTorch builds.", "url": "https://www.anchorterminal.com/tools/muse-glimmer-30b", "markdownUrl": "https://www.anchorterminal.com/tools/muse-glimmer-30b.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/muse-glimmer-30b.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/muse-glimmer-30b.json", "dns": "muse-glimmer-30b.grade.anchorterminal.com", "repo": "https://huggingface.co/meta-models/Muse-Glimmer-30B", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "huggingface", "name": "meta-models/Muse-Glimmer-30B" }, { "registry": "huggingface", "name": "meta-models/Muse-Glimmer-30B-GGUF" }, { "registry": "huggingface", "name": "meta-models/Muse-Glimmer-30B-assistant" }, { "registry": "huggingface", "name": "meta-models/Muse-Glimmer-30B-ExecuTorch-PTE" } ], "auth": "none", "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. None of the four repositories is gated (checked 2026-10-21), and Meta's docs say there is no API key and no gated access.", "pricing": "free", "pricingNotes": "Free to download and use, commercial use included, under Apache 2.0, with a separate Muse Glimmer Usage Policy listing prohibited uses. Meta Model API doesn't serve it. Running it yourself costs the hardware, 17 GB for Meta's Q4_K_M GGUF or about 60 GB in BF16 (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://dev.meta.ai/docs/muse-glimmer", "llmsTxt": "https://dev.meta.ai/llms.txt", "capabilities": [ "model.open-weights" ], "tags": [ "open-weights", "model", "dense", "multimodal", "reasoning", "tool-calling", "apache-2.0", "safetensors", "gguf", "self-hosted", "new" ], "lastRelease": "2026-10-20", "graded": true, "anchor": { "graded": true, "score": 70, "grade": "BB", "agentReady": true, "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": 5, "methodology": "0.7", "run": "2026-10-01", "scores": { "capability": 50, "interface": 75, "reach": 90, "risk": 80, "upkeep": 65 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-11-01" }, "negative": 0, "verdict": "A dense 30B multimodal cousin for local agent and coding work with images, documented tool calls and adjustable reasoning. Meta's 17 GB GGUF fits a 24 GB card and runs in llama.cpp, Ollama, vLLM, SGLang and Transformers. The main risks are one tool call per turn, no documented JSON output and a usage policy that adds limits to Apache 2.0.", "bestFor": "Local agents and coding with image input on one 24 to 32 GB GPU or an Apple silicon laptop, where one tool call per turn is enough", "strengths": [ "Meta's own 16.8 GB Q4_K_M GGUF fits a 24 GB card, with a DFlash drafter for speculative decoding", "Released model code in vLLM, SGLang, Transformers, llama.cpp and Ollama, no trust_remote_code", "Tool format and parser names per runtime documented by Meta, with a Jinja template in the repository", "Trained against indirect prompt injection with a principal hierarchy, and injection results published", "Ungated download, safetensors and GGUF from Meta's verified organisation, and three live inference providers" ], "weaknesses": [ "One tool call per turn and no parallel calls", "No structured output documented, and reasoning can't be turned off", "A usage policy adds prohibited uses beyond the law to Apache 2.0", "Meta replied to 1 of the 40 most recent discussions, and a chat template bug report has waited since 11 August", "Safety results are Meta's own, with nothing published to rerun them" ], "agentNotes": [ "Start it with `llama serve -hf meta-models/Muse-Glimmer-30B-GGUF --hf-file Muse-Glimmer-30B-KQuant-17GB-Q4_K_M.gguf -ngl 99 -c 131072 --host 127.0.0.1 --port 8080 --chat-template-kwargs '{\"reasoning_strength\":\"high\"}'` on llama.cpp b10353 or later, or `ollama run muse-glimmer` on Ollama 0.32.7 or later", "In vLLM pass `--tool-call-parser muse_glimmer --reasoning-parser muse_glimmer`, in SGLang `muse` for both, in ExecuTorch `--tool-parser atem`. Without them tool calls come back as plain text", "Set reasoning per request with `chat_template_kwargs.reasoning_strength` (low, medium, high or xhigh). llama.cpp and ExecuTorch don't read `reasoning_effort`, and ExecuTorch rejects it with a 400", "Expect one tool call per turn and return each result before the next. ExecuTorch's server rejects `tool_choice=\"required\"`", "Keep temperature 1.0, top_p 0.95 and top_k 64, don't run greedy, and never stop on `\u003c|eom|\u003e`", "Leave max_tokens room for reasoning, since in llama.cpp a request cut off mid-thought returns empty content with finish_reason length", "For images add Meta's 1.4 GB mmproj GGUF, which takes the build to about 22 GB with the runtime's fifth" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3.8, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 70 } ], "editorialScores": { "capability": 50, "interface": 75, "reach": 90, "risk": 80, "upkeep": 65 }, "provenanceScore": 73, "checked": { "categories": { "capability": "2026-11-01", "interface": "2026-11-01", "reach": "2026-11-01", "risk": "2026-11-01", "upkeep": "2026-11-01" }, "last": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "ollama run muse-glimmer\n# or Meta's 17 GB GGUF with llama.cpp b10353 or later:\nllama serve -hf meta-models/Muse-Glimmer-30B-GGUF \\\n --hf-file Muse-Glimmer-30B-KQuant-17GB-Q4_K_M.gguf \\\n -ngl 99 -c 131072 --host 127.0.0.1 --port 8080 \\\n --chat-template-kwargs '{\"reasoning_strength\":\"high\"}'", "http": "curl http://localhost:11434/api/chat \\\n -d '{\"model\": \"muse-glimmer\", \"messages\": [{\"role\": \"user\", \"content\": \"Hello!\"}]}'" }, "letme": { "capability": "https://letme.dev/model.open-weights", "tool": "https://letme.dev/muse-glimmer-30b" }, "sameCompany": [ "meta-model-api", "muse-ember", "muse-spark-open", "muse-code" ], "weights": { "trainedBy": "Meta", "builtOn": "Distilled from Muse Spark", "params": "29.6B", "context": 131072, "goodFor": "Dense multimodal model for local agent work, text and images in, with tool calls and always-on adjustable reasoning.", "runtimes": [ "llama.cpp", "Ollama", "vLLM", "SGLang", "Transformers" ], "builds": [ { "name": "Muse-Glimmer-30B-KQuant-Dynamic-Q4_K_XL", "url": "https://huggingface.co/meta-models/Muse-Glimmer-30B-GGUF/blob/main/Muse-Glimmer-30B-KQuant-Dynamic-Q4_K_XL.gguf", "who": "publisher", "precision": "q4_k_xl", "sizeGB": 19.7, "memoryGB": 24, "format": "gguf", "runsOn": [ "llama.cpp (Vulkan)", "llama.cpp (ROCm)", "LM Studio" ], "note": "Meta's dynamic K-quant; the card targets 32 GB. Add mmproj-Muse-Glimmer-30B-Q4_K_M.gguf (1.4 GB) for images" }, { "name": "Muse-Glimmer-30B-KQuant-17GB-Q4_K_M", "url": "https://huggingface.co/meta-models/Muse-Glimmer-30B-GGUF/blob/main/Muse-Glimmer-30B-KQuant-17GB-Q4_K_M.gguf", "who": "publisher", "precision": "q4_k_m", "sizeGB": 16.8, "memoryGB": 24, "format": "gguf", "runsOn": [ "llama.cpp (Vulkan)", "llama.cpp (ROCm)", "LM Studio" ], "note": "The card targets 24 GB. Add the 1.4 GB mmproj for images and the 1.6 GB DFlash drafter for speculative decoding" }, { "name": "Muse-Glimmer-30B-ExecuTorch-PTE (smallest: k-quant-17G text-solo, Metal)", "url": "https://huggingface.co/meta-models/Muse-Glimmer-30B-ExecuTorch-PTE", "who": "publisher", "precision": "q4_k_m", "sizeGB": 17.9, "memoryGB": 24, "format": "executorch", "note": "16 ExecuTorch exports from 17.9 to 31.4 GB, for Apple Metal or NVIDIA (sm80) only" }, { "name": "ollama muse-glimmer:latest", "url": "https://ollama.com/library/muse-glimmer:latest", "who": "ollama", "precision": "q4_k_m", "sizeGB": 18, "memoryGB": 24, "format": "ollama", "runsOn": [ "Ollama" ], "note": "Q4_K_M with a 1.4 GB vision projector. Size as Ollama's tags page shows it, rounded to whole GB above 10 GB; the Linux build is the llama.cpp variant" }, { "name": "Muse-Glimmer-30B", "url": "https://huggingface.co/meta-models/Muse-Glimmer-30B", "who": "publisher", "precision": "bf16", "sizeGB": 59.6, "memoryGB": 96, "format": "safetensors", "runsOn": [ "vLLM (ROCm)", "SGLang (ROCm)" ] } ], "run": "llama serve -hf meta-models/Muse-Glimmer-30B-GGUF --hf-file Muse-Glimmer-30B-KQuant-17GB-Q4_K_M.gguf -ngl 99 -c 131072 --host 127.0.0.1 --port 8080 --chat-template-kwargs '{\"reasoning_strength\":\"high\"}'", "runBuild": "Muse-Glimmer-30B-KQuant-17GB-Q4_K_M", "checked": "2026-10-21", "minMemoryGB": 24 }, "family": { "lab": "Meta", "family": "Muse", "url": "https://www.anchorterminal.com/open-weights/#meta", "others": [ { "name": "Muse Glimmer 30B assistant (DFlash drafter)", "url": "https://huggingface.co/meta-models/Muse-Glimmer-30B-assistant", "params": "2.56B (Hub safetensors count; the card states no figure)" }, { "name": "Muse Spark Open 816B-A42B", "url": "https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B", "params": "816B total, 42B active (MoE)", "listing": "https://www.anchorterminal.com/tools/muse-spark-open" } ], "olderCount": 50, "unrestrictedCopies": 5 }, "area": "models", "provenance": { "legalEntity": "Meta (the verified Hugging Face organisation is \"Meta Inc.\", the card names Meta Superintelligence Lab, and the licence carries no copyright line)", "domain": "meta.ai", "domainRegistered": "2017-12-16", "domainNote": "Registration date as recorded by RDAP for the muse-spark-open listing.", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://huggingface.co/meta-models/Muse-Glimmer-30B/commits/main", "securityTxt": "none", "checked": "2026-10-21", "notes": [ "meta-models is a verified Hugging Face organisation named Meta Inc. Meta's launch post on research.meta.ai and its developer docs on dev.meta.ai link to huggingface.co/meta-models/Muse-Glimmer-30B, and the same organisation holds Muse Spark Open.", "Nothing is hosted, so the Apache 2.0 licence stands in for terms of service and no privacy policy is scored.", "The changelog is the repository's commit history. Some messages say what changed (the duplicate reasoning-strength fix on 11 August); 7 of the 15 read Update README.md.", "dev.meta.ai/.well-known/security.txt and research.meta.ai/.well-known/security.txt answered 404 on 21 October 2026, and ai.meta.com's redirected and wasn't followed. The usage policy sends bugs and security concerns to facebook.com/whitehat/info." ], "score": 73 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/muse-glimmer-30b.json", "live": { "slug": "muse-glimmer-30b", "securityTxt": { "url": "https://meta.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-10T16:08:58.767810687Z" }, "llmsTxt": { "url": "https://dev.meta.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-10T15:44:02.548249718Z" }, "domain": { "domain": "meta.ai", "registered": "2017-12-16", "source": "https://rdap.identitydigital.services/rdap/domain/meta.ai", "checkedAt": "2026-11-08T14:51:01.706547979Z" }, "pages": [ { "url": "https://huggingface.co/meta-models/Muse-Glimmer-30B/commits/main", "kind": "changelog", "status": 200, "checkedAt": "2026-11-10T16:23:04.598495005Z", "changedAt": "2026-11-10T16:23:04.598495005Z", "fingerprint": "fe9fc096c77c" } ], "updatedAt": "2026-11-10T16:23:04.598495005Z" } }, "answer": "Muse Glimmer 30B scores 70 (BB) on agent readiness against ZAYA1-8B's 61 (C), and leads in every scored category.", "b": { "slug": "zaya1-8b", "name": "ZAYA1-8B", "vendor": "Zyphra", "vendorUrl": "https://www.zyphra.com", "kind": "weights", "category": "open-weights", "summary": "ZAYA1-8B is Zyphra's open-weight reasoning model, a mixture of experts of 8.4B parameters with 760M active, trained from scratch for maths and coding. Apache 2.0. Zyphra's 4-bit build is 5.9 GB. Released SGLang and Transformers run it.", "url": "https://www.anchorterminal.com/tools/zaya1-8b", "markdownUrl": "https://www.anchorterminal.com/tools/zaya1-8b.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/zaya1-8b.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/zaya1-8b.json", "dns": "zaya1-8b.grade.anchorterminal.com", "repo": "https://huggingface.co/Zyphra/ZAYA1-8B", "license": "Apache-2.0", "transports": [], "packages": [ { "registry": "huggingface", "name": "Zyphra/ZAYA1-8B" }, { "registry": "huggingface", "name": "Zyphra/ZAYA1-8B-FP8-Experts" }, { "registry": "huggingface", "name": "Zyphra/ZAYA1-8B-MXFP4-Experts" } ], "auth": "none", "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. None of the repositories is gated (checked 2026-11-10).", "pricing": "free", "pricingNotes": "Free to download and use under Apache 2.0, per the main repository's metadata. Running it yourself costs little: 5.9 GB with the experts at 4 bits (MXFP4), 9.6 GB in FP8 or 17.7 GB in BF16 (checked 2026-11-10).", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "Weights you download and run yourself, so there is nothing to pay per call and no payment protocol (checked 2026-11-10).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-10" }, "docsUrl": "https://huggingface.co/Zyphra/ZAYA1-8B", "capabilities": [ "model.open-weights" ], "tags": [ "open-weights", "model", "moe", "small", "reasoning", "maths", "coding", "tool-calling", "apache-2.0", "safetensors", "fp8", "mxfp4", "self-hosted" ], "lastRelease": "2026-07-02", "graded": true, "anchor": { "graded": true, "score": 61, "grade": "C", "agentReady": false, "rank": 0, "ranked": false, "notRankedWhy": "An open-weight model, graded by the open-weight checklist and ranked among open-weight models, not against tools", "rankOf": 1518, "categoryRank": 67, "methodology": "0.7", "run": "2026-10-01", "scores": { "interface": 60, "reach": 80, "risk": 55, "upkeep": 50 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "low", "date": "2026-11-10" }, "negative": 0, "verdict": "A small reasoning model trained from scratch by one lab, with a clean licence, 4-bit and FP8 builds and a team that answers questions. It's the hardest of the small models to run: its own architecture, a card that points at forks, and tool calling that needs a parser no release has. Little on limits, data or safety.", "bestFor": "People who want a small, fast reasoning model for maths and code and can live without tool calling", "strengths": [ "Apache 2.0, ungated", "5.9 GB at 4 bits, 760M parameters active", "Released Transformers and SGLang carry the architecture", "Zyphra replied in most of the recent discussions", "The original checkpoint is kept beside the reshaped one" ], "weaknesses": [ "Tool calling needs a parser that only Zyphra's vLLM fork has", "Released vLLM and llama.cpp don't run it, and there's no GGUF", "The card's install steps use forks", "No limitations, context length, languages, data or safety results on the card", "Benchmarks on the card are all from Zyphra's own harness" ], "agentNotes": [ "Use it for reasoning, maths and code. Don't count on tool calling outside Zyphra's vLLM fork", "Run it with Transformers 5.22.2 or SGLang 0.5.23, which have the model built in", "Use temperature 1.0 and top_p 0.95 in general, and temperature 0.6 for agent and code work", "Download `Zyphra/ZAYA1-8B`, not the legacy repository, for the released runtimes", "The quantised repositories have no licence tag. The main one is Apache 2.0" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "low", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 61 } ], "editorialScores": { "interface": 60, "reach": 80, "risk": 55, "upkeep": 50 }, "provenanceScore": 56, "checked": { "categories": { "interface": "2026-11-10", "reach": "2026-11-10", "risk": "2026-11-10", "upkeep": "2026-11-10" }, "last": "2026-11-10", "oldest": "2026-11-10", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install \"sglang\u003e=0.5.23\"\npython -m sglang.launch_server --model-path Zyphra/ZAYA1-8B --reasoning-parser qwen3\n# the card's own route is vLLM from Zyphra's fork, with --tool-call-parser zaya_xml", "http": "# SGLang serves an OpenAI-compatible API at http://localhost:30000/v1. The card recommends temperature 1.0\n# and top_p 0.95 in general, and temperature 0.6 for agent and code work" }, "letme": { "capability": "https://letme.dev/model.open-weights", "tool": "https://letme.dev/zaya1-8b" }, "weights": { "trainedBy": "Zyphra", "builtOn": "ZAYA1-reasoning-base, Zyphra's own pre-trained model, per the card", "params": "8.4B", "active": "760M", "context": 131072, "goodFor": "Long step-by-step reasoning in maths and code on a small machine, and as the model inside a test-time compute harness.", "runtimes": [ "SGLang", "Transformers" ], "builds": [ { "name": "ZAYA1-8B-MXFP4-Experts", "url": "https://huggingface.co/Zyphra/ZAYA1-8B-MXFP4-Experts", "who": "publisher", "precision": "mxfp4", "sizeGB": 5.85, "memoryGB": 8, "format": "safetensors", "note": "Zyphra's build with the experts at 4 bits. Which released runtime loads it wasn't established" }, { "name": "ZAYA1-8B-FP8-Experts", "url": "https://huggingface.co/Zyphra/ZAYA1-8B-FP8-Experts", "who": "publisher", "precision": "fp8", "sizeGB": 9.64, "memoryGB": 12, "format": "safetensors", "note": "Zyphra's build with the experts in FP8" }, { "name": "ZAYA1-8B (BF16 safetensors)", "url": "https://huggingface.co/Zyphra/ZAYA1-8B", "who": "publisher", "precision": "bf16", "sizeGB": 17.68, "memoryGB": 24, "format": "safetensors", "runsOn": [ "SGLang", "Transformers" ], "note": "Four shards, reshaped for Transformers" } ], "run": "python -m sglang.launch_server --model-path Zyphra/ZAYA1-8B --reasoning-parser qwen3", "runBuild": "ZAYA1-8B (BF16 safetensors)", "checked": "2026-11-10", "minMemoryGB": 8 }, "family": { "lab": "Zyphra", "family": "ZAYA1", "url": "https://www.anchorterminal.com/open-weights/#zyphra", "others": [ { "name": "ZAYA1-VL-8B", "url": "https://huggingface.co/Zyphra/ZAYA1-VL-8B" }, { "name": "ZAYA1-74B-preview", "url": "https://huggingface.co/Zyphra/ZAYA1-74B-preview" } ] }, "area": "models", "provenance": { "legalEntity": "Zyphra, named on the card and its site. The legal entity wasn't looked up", "domain": "zyphra.com", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://huggingface.co/Zyphra/ZAYA1-8B/commits/main", "securityTxt": "none", "checked": "2026-11-10", "notes": [ "www.zyphra.com's robots.txt allows reading outside /studio and /api. Its about page gives a San Francisco address and names no people in the text read.", "The domain's registration date wasn't looked up. www.zyphra.com has no security.txt (404 on 10 November 2026).", "Nothing is hosted under this listing, so Apache 2.0 stands in for terms of service and no privacy policy is scored. Zyphra's site lists a cloud product for its open models, which wasn't read.", "The changelog is the commit history, 41 commits from 4 May to 26 June 2026." ], "score": 56 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/zaya1-8b.json" }, "edges": [ { "by": 25, "category": "risk", "leads": "muse-glimmer-30b", "name": "Risk", "reasons": { "a": "File safety 25, safetensors and GGUF, with the ExecuTorch pos_embed.bin files read as raw embedding tables by their exact size and the Hub's scans, and no repository code runs. Provenance 15, the verified meta-models organisation Meta links, with a checksum on every file. Safety evaluation 10, Meta's own published results with stated set-ups but nothing to rerun and no outside assessor. Agent guidance 15, trained against indirect prompt injection with a principal hierarchy, and results published. Licence risk 10, 5 off for the use policy, and the policy's pointer to a latest copy leads back to the same repository file with no change clause. Security programme 5, a whitehat route in the usage policy, with no security.txt and public advisories unchecked, so scored as absent.", "b": "File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository. Provenance 15, the files sit in the Zyphra organisation, which the card ties to zyphra.com's blog post for the model (10). Safety evaluation 0, no safety results on the card. Agent guidance 0, the card has no limitations or safety section, and nothing on prompt injection, instruction priority or what the model refuses. Licence risk 15, Apache 2.0 has no use policy, threshold or change clause. Security programme 0, no way to report a flaw on the card, and www.zyphra.com has no security.txt. 25 + 15 + 0 + 0 + 15 + 0 = 55." }, "scores": { "a": 80, "b": 55 } }, { "by": 15, "category": "interface", "leads": "muse-glimmer-30b", "name": "Agent interface", "reasons": { "a": "Chat template 20, a Jinja file in the repository. Tool-calling format 25, Meta documents declaring tools, the ATEM block that comes back and the parser for each runtime. Trained tool calling 10, one call per turn and no parallel calls. Structured output 0, nothing documented for JSON or JSON Schema. Reasoning control 10, reasoning can't be turned off but is budgeted per request with four strength levels and returned as reasoning_content. Context 10, 131,072 tokens trained in.", "b": "Chat template 20, chat_template.jinja in the repository (10,700 characters). Tool-calling format 10, only the template and a fork say it. Trained tool calling 10, the template takes tools and renders calls, and the card recommends settings for agent use, but it doesn't say the model was trained for tool calling or for several calls in a turn, so the lower band. Structured output 0, Nothing on the card about JSON or schema-constrained output. Reasoning control 10, the template has an enable_thinking switch, and the card names the qwen3 reasoning parser, which returns the reasoning apart from the answer. Context 10, 131,072 positions in config.json, for an architecture Zyphra trained end to end, so the config is the model's own. 20 + 10 + 10 + 0 + 10 + 10 = 60." }, "scores": { "a": 75, "b": 60 } }, { "by": 15, "category": "upkeep", "leads": "muse-glimmer-30b", "name": "Documentation and upkeep", "reasons": { "a": "Model card 20, all seven parts present, languages as a count of more than 100. Training data 10, a general description with a 4 January 2026 cut-off and no sources or sizes. Last change 20, a card update on 20 October citing the technical report, read as a change to the files as card edits were for other listings; Meta added its own MMI evaluation results file on 22 October. Responsiveness 5, a Meta member replied to 1 of the 40 most recent non-PR discussions (re-counted on 1 November). Version policy 5, a first release. File health 5, the files agree but a chat template bug report from 11 August still has no reply.", "b": "Model card 5, Intended use and the parameter counts are on the card. Training data 0, Nothing on the card about the training data. Last change 10, the main repository last changed on 26 June 2026 (the checkpoint reshaped for Transformers), 137 days before this check, and the quantised repositories on 2 July, 131 days. Responsiveness 20, Of the 16 most recent discussions that aren't pull requests (7 May to 14 August 2026), 10 have a reply from a Zyphra member, which is most. Version policy 5, the original checkpoint is kept as ZAYA1-8B-legacy and the card says so at the top, without a date. File health 10, Config, template and card agree on the architecture after the reshape. 5 + 0 + 10 + 20 + 5 + 10 = 50." }, "scores": { "a": 65, "b": 50 } }, { "by": 10, "category": "reach", "leads": "muse-glimmer-30b", "name": "Reach", "reasons": { "a": "Memory 25, Meta's 16.8 GB Q4_K_M GGUF needs about 20 GB with the runtime's fifth, so it fits a 24 GB card but not 16 GB. Runtimes 25, released model code in vLLM, SGLang, Transformers, llama.cpp and Ollama's library fills the cap. Builds 15, Meta publishes GGUF and ExecuTorch 4-bit builds, read as two kinds as gemma-4-31b-it was, though all are 4-bit k-quants. Terms 10, Apache 2.0 with a usage policy that adds limits beyond the law, so a free commercial licence under a use policy. Download 10, no repository is gated. Hosted 5, Meta's API doesn't serve it but Together, Featherless AI and DeepInfra are live on its Hub page.", "b": "Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB. Runtimes 10, Released Transformers 5.22.2 has the zaya model and SGLang 0.5.23 has srt/models/zaya.py. Builds 15, Quantised builds from Zyphra at two precisions, FP8 and MXFP4 for the experts, each in its own repository. Terms 15, Apache 2.0 in the card's metadata, an OSI licence with nothing added. Download 10, the Hub API reports gated false for the model and its builds 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 the card names no API. Zyphra's site lists a cloud product for its open models, which wasn't checked for this model. 30 + 10 + 15 + 15 + 10 + 0 = 80." }, "scores": { "a": 90, "b": 80 } } ], "facts": [ { "a": "Open-weight model", "b": "Open-weight model", "name": "Kind" }, { "a": "Meta", "b": "Zyphra", "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": "Apache-2.0", "b": "Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-20", "b": "2026-07-02", "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": "3.8/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Muse Glimmer 30B scores 70 (BB) on agent readiness against ZAYA1-8B's 61 (C), and leads in every scored category.", "question": "Which is better for AI agents, Muse Glimmer 30B or ZAYA1-8B?" } ], "goodFor": [ { "aheadOn": [ "Reach, 90 against 80", "Risk, 80 against 55", "Agent interface, 75 against 60", "Documentation and upkeep, 65 against 50" ], "also": [ "Agent-ready, a grade of BB or better" ], "goodFor": "Local agents and coding with image input on one 24 to 32 GB GPU or an Apple silicon laptop, where one tool call per turn is enough", "slug": "muse-glimmer-30b", "watchFor": "One tool call per turn and no parallel calls" }, { "aheadOn": null, "also": null, "goodFor": "People who want a small, fast reasoning model for maths and code and can live without tool calling", "slug": "zaya1-8b", "watchFor": "Tool calling needs a parser that only Zyphra's vLLM fork has" } ], "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-muse-glimmer-30b.json", "title": "Agents-A1-4B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-zaya1-8b.json", "title": "Agents-A1-4B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-muse-glimmer-30b.json", "title": "Apertus v1.5 8B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-zaya1-8b.json", "title": "Apertus v1.5 8B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-muse-glimmer-30b.json", "title": "Apodex-1.1-mini vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-zaya1-8b.json", "title": "Apodex-1.1-mini vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/arete-27b-vs-muse-glimmer-30b.json", "title": "Arete-27B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/arete-27b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/arete-27b-vs-zaya1-8b.json", "title": "Arete-27B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/arete-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/bigbang-v1-vs-muse-glimmer-30b.json", "title": "BigBang-v1 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/bigbang-v1-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/bigbang-v1-vs-zaya1-8b.json", "title": "BigBang-v1 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/bigbang-v1-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/carbon-x-vs-muse-glimmer-30b.json", "title": "Carbon-X vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/carbon-x-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/carbon-x-vs-zaya1-8b.json", "title": "Carbon-X vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/carbon-x-vs-zaya1-8b" }, { "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-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-muse-glimmer-30b.json", "title": "Cosmos-Reason2-2B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-zaya1-8b.json", "title": "Cosmos-Reason2-2B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-muse-glimmer-30b.json", "title": "Darwin-36B-Opus vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-zaya1-8b.json", "title": "Darwin-36B-Opus vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-muse-glimmer-30b.json", "title": "DeepSeek-V3.2 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-zaya1-8b.json", "title": "DeepSeek-V3.2 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/deepseek-v3-2-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-muse-glimmer-30b.json", "title": "DeepSeek V4.1 Flash vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-zaya1-8b.json", "title": "DeepSeek V4.1 Flash vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-muse-glimmer-30b.json", "title": "DeepSeek-V4-Flash-0731 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-zaya1-8b.json", "title": "DeepSeek-V4-Flash-0731 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/devstral-small-2-vs-muse-glimmer-30b.json", "title": "Devstral Small 2 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/devstral-small-2-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/devstral-small-2-vs-zaya1-8b.json", "title": "Devstral Small 2 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/devstral-small-2-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-muse-glimmer-30b.json", "title": "DiffusionGemma 26B A4B IT vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-zaya1-8b.json", "title": "DiffusionGemma 26B A4B IT vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-muse-glimmer-30b.json", "title": "EXAONE 4.5 33B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-zaya1-8b.json", "title": "EXAONE 4.5 33B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-muse-glimmer-30b.json", "title": "Gemma 4 12B IT vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-zaya1-8b.json", "title": "Gemma 4 12B IT vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-muse-glimmer-30b.json", "title": "Gemma 4 26B A4B IT vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-zaya1-8b.json", "title": "Gemma 4 26B A4B IT vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-muse-glimmer-30b.json", "title": "Gemma 4 31B IT vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-zaya1-8b.json", "title": "Gemma 4 31B IT vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-muse-glimmer-30b.json", "title": "Gemma 4 E2B IT vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-zaya1-8b.json", "title": "Gemma 4 E2B IT vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-muse-glimmer-30b.json", "title": "Gemma 4 E4B IT vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-zaya1-8b.json", "title": "Gemma 4 E4B IT vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-muse-glimmer-30b.json", "title": "GLM-4.5-Air vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-zaya1-8b.json", "title": "GLM-4.5-Air vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/glm-4-5-air-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-muse-glimmer-30b.json", "title": "GLM-4.7-Flash vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-zaya1-8b.json", "title": "GLM-4.7-Flash vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/glm-4-7-flash-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-muse-glimmer-30b.json", "title": "GLM-5.3-Flash vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-zaya1-8b.json", "title": "GLM-5.3-Flash vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/glm-5-3-flash-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-vs-muse-glimmer-30b.json", "title": "GLM-5.3 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/glm-5-3-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/glm-5-3-vs-zaya1-8b.json", "title": "GLM-5.3 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/glm-5-3-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-muse-glimmer-30b.json", "title": "gpt-oss-120b vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-zaya1-8b.json", "title": "gpt-oss-120b vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-muse-glimmer-30b.json", "title": "gpt-oss-20b vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-zaya1-8b.json", "title": "gpt-oss-20b vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/gpt-oss-20b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-muse-glimmer-30b.json", "title": "Granite 4.2 30B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-zaya1-8b.json", "title": "Granite 4.2 30B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/granite-4-2-30b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-3b-vs-muse-glimmer-30b.json", "title": "Granite 4.2 3B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/granite-4-2-3b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-3b-vs-zaya1-8b.json", "title": "Granite 4.2 3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/granite-4-2-3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-8b-vs-muse-glimmer-30b.json", "title": "Granite 4.2 8B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/granite-4-2-8b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/granite-4-2-8b-vs-zaya1-8b.json", "title": "Granite 4.2 8B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/granite-4-2-8b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-muse-glimmer-30b.json", "title": "Hy-Memory-30B-A3B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-zaya1-8b.json", "title": "Hy-Memory-30B-A3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/hy3-vs-muse-glimmer-30b.json", "title": "Hy3 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/hy3-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/hy3-vs-zaya1-8b.json", "title": "Hy3 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/hy3-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/inkling-small-vs-muse-glimmer-30b.json", "title": "Inkling-Small vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/inkling-small-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/inkling-small-vs-zaya1-8b.json", "title": "Inkling-Small vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/inkling-small-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/inkling-vs-muse-glimmer-30b.json", "title": "Inkling vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/inkling-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/inkling-vs-zaya1-8b.json", "title": "Inkling vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/inkling-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-muse-glimmer-30b.json", "title": "InternVL3.5-GPT-OSS-20B-A4B-Preview vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-zaya1-8b.json", "title": "InternVL3.5-GPT-OSS-20B-A4B-Preview vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-muse-glimmer-30b.json", "title": "Kimi K3.1 Pro vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-zaya1-8b.json", "title": "Kimi K3.1 Pro vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/kimi-k3-vs-muse-glimmer-30b.json", "title": "Kimi K3 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/kimi-k3-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/kimi-k3-vs-zaya1-8b.json", "title": "Kimi K3 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/kimi-k3-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/kolibri-1-vs-muse-glimmer-30b.json", "title": "Kolibri-1 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/kolibri-1-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/kolibri-1-vs-zaya1-8b.json", "title": "Kolibri-1 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/kolibri-1-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-muse-glimmer-30b.json", "title": "Kronos vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/kronos-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/kronos-vs-zaya1-8b.json", "title": "Kronos vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/kronos-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/laguna-m-1-vs-muse-glimmer-30b.json", "title": "Laguna M.1 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/laguna-m-1-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/laguna-m-1-vs-zaya1-8b.json", "title": "Laguna M.1 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/laguna-m-1-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/laguna-s-2-1-vs-muse-glimmer-30b.json", "title": "Laguna S 2.1 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/laguna-s-2-1-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/laguna-s-2-1-vs-zaya1-8b.json", "title": "Laguna S 2.1 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/laguna-s-2-1-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-muse-glimmer-30b.json", "title": "Laguna XS 2.1 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-zaya1-8b.json", "title": "Laguna XS 2.1 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/lbs-27b-vs-muse-glimmer-30b.json", "title": "LBS-27B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/lbs-27b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/lbs-27b-vs-zaya1-8b.json", "title": "LBS-27B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/lbs-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-muse-glimmer-30b.json", "title": "LFM2.5-2.6B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-zaya1-8b.json", "title": "LFM2.5-2.6B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-1-7b-vs-muse-glimmer-30b.json", "title": "LFM3-1.7B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/lfm3-1-7b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-1-7b-vs-zaya1-8b.json", "title": "LFM3-1.7B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/lfm3-1-7b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-muse-glimmer-30b.json", "title": "LFM3-Audio-2B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-zaya1-8b.json", "title": "LFM3-Audio-2B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-muse-glimmer-30b.json", "title": "LFM3-Omni-2B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-zaya1-8b.json", "title": "LFM3-Omni-2B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-muse-glimmer-30b.json", "title": "LFM3-VL-2B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-zaya1-8b.json", "title": "LFM3-VL-2B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-muse-glimmer-30b.json", "title": "Ling-3.0-tiny vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-zaya1-8b.json", "title": "Ling-3.0-tiny vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-muse-glimmer-30b.json", "title": "Ling-3.1-flash-1019 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-zaya1-8b.json", "title": "Ling-3.1-flash-1019 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/longcat-2-5-vs-muse-glimmer-30b.json", "title": "LongCat-2.5 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/longcat-2-5-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/longcat-2-5-vs-zaya1-8b.json", "title": "LongCat-2.5 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/longcat-2-5-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-muse-glimmer-30b.json", "title": "MiMo-V2.6 Distill Qwen 9B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-zaya1-8b.json", "title": "MiMo-V2.6 Distill Qwen 9B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-muse-glimmer-30b.json", "title": "MiMo-V2.6-Flash-RL vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-zaya1-8b.json", "title": "MiMo-V2.6-Flash-RL vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-muse-glimmer-30b.json", "title": "MiniCPM-o 4.5 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-zaya1-8b.json", "title": "MiniCPM-o 4.5 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-muse-glimmer-30b.json", "title": "MiniCPM-V 4.7 1B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-zaya1-8b.json", "title": "MiniCPM-V 4.7 1B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-muse-glimmer-30b.json", "title": "MiniCPM-V 4.7 35B-A3B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-zaya1-8b.json", "title": "MiniCPM-V 4.7 35B-A3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/minicpm5-2b-vs-muse-glimmer-30b.json", "title": "MiniCPM5-2B vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/minicpm5-2b-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/minicpm5-2b-vs-zaya1-8b.json", "title": "MiniCPM5-2B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/minicpm5-2b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m2-5-vs-muse-glimmer-30b.json", "title": "MiniMax-M2.5 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/minimax-m2-5-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m2-5-vs-zaya1-8b.json", "title": "MiniMax-M2.5 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/minimax-m2-5-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m2-7-vs-muse-glimmer-30b.json", "title": "MiniMax-M2.7 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/minimax-m2-7-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m2-7-vs-zaya1-8b.json", "title": "MiniMax-M2.7 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/minimax-m2-7-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-muse-glimmer-30b.json", "title": "MiniMax-M3.1-Flash vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-zaya1-8b.json", "title": "MiniMax-M3.1-Flash vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/mistral-large-4-vs-muse-glimmer-30b.json", "title": "Mistral Large 4 vs Muse Glimmer 30B", "url": "https://www.anchorterminal.com/compare/mistral-large-4-vs-muse-glimmer-30b" }, { "json": "https://www.anchorterminal.com/compare/mistral-large-4-vs-zaya1-8b.json", "title": "Mistral Large 4 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/mistral-large-4-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nanbeige-4-2-3b.json", "title": "Muse Glimmer 30B vs Nanbeige4.2-3B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nanbeige-4-2-3b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nanbeige-4-3-33b.json", "title": "Muse Glimmer 30B vs Nanbeige4.3-33B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nanbeige-4-3-33b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-5-bolt-e4b-4gb.json", "title": "Muse Glimmer 30B vs NVIDIA Nemotron 3.5 Bolt E4B 4GB", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-5-bolt-e4b-4gb" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-5-lightning-30b-a3b.json", "title": "Muse Glimmer 30B vs Nemotron 3.5 Lightning 30B A3B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-5-lightning-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-nano-30b-a3b.json", "title": "Muse Glimmer 30B vs Nemotron 3 Nano 30B A3B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-nano-30b-a3b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-nano-4b.json", "title": "Muse Glimmer 30B vs Nemotron 3 Nano 4B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-nano-4b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.json", "title": "Muse Glimmer 30B vs Nemotron 3 Nano Omni 30B A3B Reasoning", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-nano-omni-30b-a3b-reasoning" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-super-120b-a12b.json", "title": "Muse Glimmer 30B vs Nemotron 3 Super 120B A12B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-super-120b-a12b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-ultra-550b-a55b.json", "title": "Muse Glimmer 30B vs Nemotron 3 Ultra 550B A55B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-ultra-550b-a55b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-north-mini-code-1-0.json", "title": "Muse Glimmer 30B vs North Mini Code 1.0", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-north-mini-code-1-0" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-occamy-1-0.json", "title": "Muse Glimmer 30B vs occamy-1.0", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-occamy-1-0" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-olmo-3-7b-think.json", "title": "Muse Glimmer 30B vs Olmo 3 7B Think", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-olmo-3-7b-think" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-122b.json", "title": "Muse Glimmer 30B vs Ornith-1.5-122B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-122b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-35b-a3b.json", "title": "Muse Glimmer 30B vs Ornith-1.5-35B-A3B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-397b.json", "title": "Muse Glimmer 30B vs Ornith-1.5-397B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-397b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-9b.json", "title": "Muse Glimmer 30B vs Ornith-1.5-9B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-9b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-otel-2-0-llm-31b-it.json", "title": "Muse Glimmer 30B vs OTel-2.0-LLM-31B-IT", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-otel-2-0-llm-31b-it" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen-agentworld-35b-a3b.json", "title": "Muse Glimmer 30B vs Qwen-AgentWorld-35B-A3B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen-agentworld-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-30b-a3b-instruct-2507.json", "title": "Muse Glimmer 30B vs Qwen3-30B-A3B-Instruct-2507", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-30b-a3b-instruct-2507" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-4b-instruct-2507.json", "title": "Muse Glimmer 30B vs Qwen3-4B-Instruct-2507", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-4b-instruct-2507" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-0-8b.json", "title": "Muse Glimmer 30B vs Qwen3.5-0.8B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-0-8b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-122b-a10b.json", "title": "Muse Glimmer 30B vs Qwen3.5-122B-A10B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-122b-a10b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-2b.json", "title": "Muse Glimmer 30B vs Qwen3.5-2B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-2b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-397b-a17b.json", "title": "Muse Glimmer 30B vs Qwen3.5-397B-A17B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-397b-a17b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-4b.json", "title": "Muse Glimmer 30B vs Qwen3.5-4B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-4b" }, { "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/muse-glimmer-30b-vs-qwen3-6-27b.json", "title": "Muse Glimmer 30B vs Qwen3.6-27B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-6-27b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-6-35b-a3b.json", "title": "Muse Glimmer 30B vs Qwen3.6-35B-A3B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-6-35b-a3b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-8-27b.json", "title": "Muse Glimmer 30B vs Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-8-flash-next.json", "title": "Muse Glimmer 30B vs Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-coder-30b-a3b-instruct.json", "title": "Muse Glimmer 30B vs Qwen3-Coder-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-coder-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-coder-next.json", "title": "Muse Glimmer 30B vs Qwen3-Coder-Next", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-coder-next" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-omni-30b-a3b-instruct.json", "title": "Muse Glimmer 30B vs Qwen3-Omni-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-omni-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-2b-instruct.json", "title": "Muse Glimmer 30B vs Qwen3-VL-2B-Instruct", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-2b-instruct" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-30b-a3b-instruct.json", "title": "Muse Glimmer 30B vs Qwen3-VL-30B-A3B-Instruct", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-30b-a3b-instruct" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-32b-instruct.json", "title": "Muse Glimmer 30B vs Qwen3-VL-32B-Instruct", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-32b-instruct" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-4b-instruct.json", "title": "Muse Glimmer 30B vs Qwen3-VL-4B-Instruct", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-4b-instruct" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-8b-instruct.json", "title": "Muse Glimmer 30B vs Qwen3-VL-8B-Instruct", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-8b-instruct" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwopus3-8-27b-flash-v2.json", "title": "Muse Glimmer 30B vs Qwopus3.8-27B-Flash-V2", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwopus3-8-27b-flash-v2" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-recursive-flint.json", "title": "Muse Glimmer 30B vs Recursive Flint", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-recursive-flint" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ripple-65b-preview.json", "title": "Muse Glimmer 30B vs Ripple-65B Preview", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ripple-65b-preview" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-sensenova-loop-9b-preview.json", "title": "Muse Glimmer 30B vs SenseNova-Loop-9B-Preview", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-sensenova-loop-9b-preview" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-smollm3-3b.json", "title": "Muse Glimmer 30B vs SmolLM3-3B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-smollm3-3b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-spark-x2-6-4b.json", "title": "Muse Glimmer 30B vs Spark-X2.6-4B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-spark-x2-6-4b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-step-3-7-flash.json", "title": "Muse Glimmer 30B vs Step 3.7 Flash", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-step-3-7-flash" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-swift-1-5-qwen3-8-27b.json", "title": "Muse Glimmer 30B vs Swift 1.5 Qwen3.8-27B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-swift-1-5-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-swift-1-5-qwen3-8-flash-next.json", "title": "Muse Glimmer 30B vs Swift 1.5 Qwen3.8-Flash-Next", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-swift-1-5-qwen3-8-flash-next" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-thinkingcap-qwen3-8-27b.json", "title": "Muse Glimmer 30B vs ThinkingCap (Qwen3.8 27B)", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-thinkingcap-qwen3-8-27b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-unlimited-ocr-2.json", "title": "Muse Glimmer 30B vs Baidu Unlimited-OCR-2", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-unlimited-ocr-2" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-wevisone-vl-2b.json", "title": "Muse Glimmer 30B vs WeVisOne-VL-2B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-wevisone-vl-2b" }, { "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-wevisone-vl-4b.json", "title": "Muse Glimmer 30B vs WeVisOne-VL-4B", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-wevisone-vl-4b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-zaya1-8b.json", "title": "Nanbeige4.2-3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-zaya1-8b.json", "title": "Nanbeige4.3-33B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-zaya1-8b.json", "title": "NVIDIA Nemotron 3.5 Bolt E4B 4GB vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-zaya1-8b.json", "title": "Nemotron 3.5 Lightning 30B A3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-nano-30b-a3b-vs-zaya1-8b.json", "title": "Nemotron 3 Nano 30B A3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nemotron-3-nano-30b-a3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-nano-4b-vs-zaya1-8b.json", "title": "Nemotron 3 Nano 4B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nemotron-3-nano-4b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-zaya1-8b.json", "title": "Nemotron 3 Nano Omni 30B A3B Reasoning vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-super-120b-a12b-vs-zaya1-8b.json", "title": "Nemotron 3 Super 120B A12B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nemotron-3-super-120b-a12b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-ultra-550b-a55b-vs-zaya1-8b.json", "title": "Nemotron 3 Ultra 550B A55B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/nemotron-3-ultra-550b-a55b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-zaya1-8b.json", "title": "North Mini Code 1.0 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/occamy-1-0-vs-zaya1-8b.json", "title": "occamy-1.0 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/occamy-1-0-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-zaya1-8b.json", "title": "Olmo 3 7B Think vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-zaya1-8b.json", "title": "Ornith-1.5-122B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-zaya1-8b.json", "title": "Ornith-1.5-35B-A3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-zaya1-8b.json", "title": "Ornith-1.5-397B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-zaya1-8b.json", "title": "Ornith-1.5-9B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-zaya1-8b.json", "title": "OTel-2.0-LLM-31B-IT vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-zaya1-8b.json", "title": "Qwen-AgentWorld-35B-A3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-zaya1-8b.json", "title": "Qwen3-30B-A3B-Instruct-2507 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-4b-instruct-2507-vs-zaya1-8b.json", "title": "Qwen3-4B-Instruct-2507 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-4b-instruct-2507-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-0-8b-vs-zaya1-8b.json", "title": "Qwen3.5-0.8B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-5-0-8b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-zaya1-8b.json", "title": "Qwen3.5-122B-A10B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-2b-vs-zaya1-8b.json", "title": "Qwen3.5-2B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-5-2b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-zaya1-8b.json", "title": "Qwen3.5-397B-A17B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-5-4b-vs-zaya1-8b.json", "title": "Qwen3.5-4B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-5-4b-vs-zaya1-8b" }, { "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" }, { "json": "https://www.anchorterminal.com/compare/qwen3-6-27b-vs-zaya1-8b.json", "title": "Qwen3.6-27B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-6-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-6-35b-a3b-vs-zaya1-8b.json", "title": "Qwen3.6-35B-A3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-6-35b-a3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-8-27b-vs-zaya1-8b.json", "title": "Qwen3.8-27B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-8-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-8-flash-next-vs-zaya1-8b.json", "title": "Qwen3.8-Flash-Next vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-8-flash-next-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-coder-30b-a3b-instruct-vs-zaya1-8b.json", "title": "Qwen3-Coder-30B-A3B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-coder-30b-a3b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-coder-next-vs-zaya1-8b.json", "title": "Qwen3-Coder-Next vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-coder-next-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-omni-30b-a3b-instruct-vs-zaya1-8b.json", "title": "Qwen3-Omni-30B-A3B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-omni-30b-a3b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-vl-2b-instruct-vs-zaya1-8b.json", "title": "Qwen3-VL-2B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-vl-2b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-vl-30b-a3b-instruct-vs-zaya1-8b.json", "title": "Qwen3-VL-30B-A3B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-vl-30b-a3b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-vl-32b-instruct-vs-zaya1-8b.json", "title": "Qwen3-VL-32B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-vl-32b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-vl-4b-instruct-vs-zaya1-8b.json", "title": "Qwen3-VL-4B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-vl-4b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwen3-vl-8b-instruct-vs-zaya1-8b.json", "title": "Qwen3-VL-8B-Instruct vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwen3-vl-8b-instruct-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/qwopus3-8-27b-flash-v2-vs-zaya1-8b.json", "title": "Qwopus3.8-27B-Flash-V2 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/qwopus3-8-27b-flash-v2-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/recursive-flint-vs-zaya1-8b.json", "title": "Recursive Flint vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/recursive-flint-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/ripple-65b-preview-vs-zaya1-8b.json", "title": "Ripple-65B Preview vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/ripple-65b-preview-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/sensenova-loop-9b-preview-vs-zaya1-8b.json", "title": "SenseNova-Loop-9B-Preview vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/sensenova-loop-9b-preview-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/smollm3-3b-vs-zaya1-8b.json", "title": "SmolLM3-3B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/smollm3-3b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/spark-x2-6-4b-vs-zaya1-8b.json", "title": "Spark-X2.6-4B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/spark-x2-6-4b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/step-3-7-flash-vs-zaya1-8b.json", "title": "Step 3.7 Flash vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/step-3-7-flash-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-27b-vs-zaya1-8b.json", "title": "Swift 1.5 Qwen3.8-27B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-flash-next-vs-zaya1-8b.json", "title": "Swift 1.5 Qwen3.8-Flash-Next vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-flash-next-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/thinkingcap-qwen3-8-27b-vs-zaya1-8b.json", "title": "ThinkingCap (Qwen3.8 27B) vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/thinkingcap-qwen3-8-27b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/unlimited-ocr-2-vs-zaya1-8b.json", "title": "Baidu Unlimited-OCR-2 vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/unlimited-ocr-2-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/wevisone-vl-2b-vs-zaya1-8b.json", "title": "WeVisOne-VL-2B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/wevisone-vl-2b-vs-zaya1-8b" }, { "json": "https://www.anchorterminal.com/compare/wevisone-vl-4b-vs-zaya1-8b.json", "title": "WeVisOne-VL-4B vs ZAYA1-8B", "url": "https://www.anchorterminal.com/compare/wevisone-vl-4b-vs-zaya1-8b" } ], "panel": null, "scores": [ { "key": "capability", "name": "Capability", "pending": true, "weight": 35 }, { "by": 10, "edge": "muse-glimmer-30b", "key": "reach", "muse-glimmer-30b": 90, "name": "Reach", "weight": 25, "zaya1-8b": 80 }, { "by": 25, "edge": "muse-glimmer-30b", "key": "risk", "muse-glimmer-30b": 80, "name": "Risk", "weight": 20, "zaya1-8b": 55 }, { "by": 15, "edge": "muse-glimmer-30b", "key": "interface", "muse-glimmer-30b": 75, "name": "Agent interface", "weight": 10, "zaya1-8b": 60 }, { "by": 15, "edge": "muse-glimmer-30b", "key": "upkeep", "muse-glimmer-30b": 65, "name": "Documentation and upkeep", "weight": 10, "zaya1-8b": 50 } ], "summary": "Muse Glimmer 30B scores 70 (BB) on agent readiness against ZAYA1-8B's 61 (C), and leads in every scored category. Both do open-weight models you run yourself.", "tasks": null, "tutorials": [], "verdicts": { "muse-glimmer-30b": "A dense 30B multimodal cousin for local agent and coding work with images, documented tool calls and adjustable reasoning. Meta's 17 GB GGUF fits a 24 GB card and runs in llama.cpp, Ollama, vLLM, SGLang and Transformers. The main risks are one tool call per turn, no documented JSON output and a usage policy that adds limits to Apache 2.0.", "zaya1-8b": "A small reasoning model trained from scratch by one lab, with a clean licence, 4-bit and FP8 builds and a team that answers questions. It's the hardest of the small models to run: its own architecture, a card that points at forks, and tool calling that needs a parser no release has. Little on limits, data or safety." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-zaya1-8b", "json": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-zaya1-8b.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-zaya1-8b.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-zaya1-8b.min.md" }, "markdown": "Muse Glimmer 30B scores 70 (BB) on agent readiness against ZAYA1-8B's 61 (C), and leads in every scored category. Both do open-weight models you run yourself.\n\n- Muse Glimmer 30B: grade BB, 70/100, rank #7 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/muse-glimmer-30b.md · JSON https://www.anchorterminal.com/api/v1/tools/muse-glimmer-30b.json\n- ZAYA1-8B: grade C, 61/100, rank #85 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/zaya1-8b.md · JSON https://www.anchorterminal.com/api/v1/tools/zaya1-8b.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### Muse Glimmer 30B (BB)\n\nGood for: Local agents and coding with image input on one 24 to 32 GB GPU or an Apple silicon laptop, where one tool call per turn is enough\n\nAhead on:\n- Reach, 90 against 80\n- Risk, 80 against 55\n- Agent interface, 75 against 60\n- Documentation and upkeep, 65 against 50\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: One tool call per turn and no parallel calls\n\n### ZAYA1-8B (C)\n\nGood for: People who want a small, fast reasoning model for maths and code and can live without tool calling\n\nWatch for: Tool calling needs a parser that only Zyphra's vLLM fork has\n\n\n## Why the edge\n\n### Risk: Muse Glimmer 30B +25\n\n- Muse Glimmer 30B (80): File safety 25, safetensors and GGUF, with the ExecuTorch pos_embed.bin files read as raw embedding tables by their exact size and the Hub's scans, and no repository code runs. Provenance 15, the verified meta-models organisation Meta links, with a checksum on every file. Safety evaluation 10, Meta's own published results with stated set-ups but nothing to rerun and no outside assessor. Agent guidance 15, trained against indirect prompt injection with a principal hierarchy, and results published. Licence risk 10, 5 off for the use policy, and the policy's pointer to a latest copy leads back to the same repository file with no change clause. Security programme 5, a whitehat route in the usage policy, with no security.txt and public advisories unchecked, so scored as absent.\n- ZAYA1-8B (55): File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository. Provenance 15, the files sit in the Zyphra organisation, which the card ties to zyphra.com's blog post for the model (10). Safety evaluation 0, no safety results on the card. Agent guidance 0, the card has no limitations or safety section, and nothing on prompt injection, instruction priority or what the model refuses. Licence risk 15, Apache 2.0 has no use policy, threshold or change clause. Security programme 0, no way to report a flaw on the card, and www.zyphra.com has no security.txt. 25 + 15 + 0 + 0 + 15 + 0 = 55.\n\n### Agent interface: Muse Glimmer 30B +15\n\n- Muse Glimmer 30B (75): Chat template 20, a Jinja file in the repository. Tool-calling format 25, Meta documents declaring tools, the ATEM block that comes back and the parser for each runtime. Trained tool calling 10, one call per turn and no parallel calls. Structured output 0, nothing documented for JSON or JSON Schema. Reasoning control 10, reasoning can't be turned off but is budgeted per request with four strength levels and returned as reasoning_content. Context 10, 131,072 tokens trained in.\n- ZAYA1-8B (60): Chat template 20, chat_template.jinja in the repository (10,700 characters). Tool-calling format 10, only the template and a fork say it. Trained tool calling 10, the template takes tools and renders calls, and the card recommends settings for agent use, but it doesn't say the model was trained for tool calling or for several calls in a turn, so the lower band. Structured output 0, Nothing on the card about JSON or schema-constrained output. Reasoning control 10, the template has an enable_thinking switch, and the card names the qwen3 reasoning parser, which returns the reasoning apart from the answer. Context 10, 131,072 positions in config.json, for an architecture Zyphra trained end to end, so the config is the model's own. 20 + 10 + 10 + 0 + 10 + 10 = 60.\n\n### Documentation and upkeep: Muse Glimmer 30B +15\n\n- Muse Glimmer 30B (65): Model card 20, all seven parts present, languages as a count of more than 100. Training data 10, a general description with a 4 January 2026 cut-off and no sources or sizes. Last change 20, a card update on 20 October citing the technical report, read as a change to the files as card edits were for other listings; Meta added its own MMI evaluation results file on 22 October. Responsiveness 5, a Meta member replied to 1 of the 40 most recent non-PR discussions (re-counted on 1 November). Version policy 5, a first release. File health 5, the files agree but a chat template bug report from 11 August still has no reply.\n- ZAYA1-8B (50): Model card 5, Intended use and the parameter counts are on the card. Training data 0, Nothing on the card about the training data. Last change 10, the main repository last changed on 26 June 2026 (the checkpoint reshaped for Transformers), 137 days before this check, and the quantised repositories on 2 July, 131 days. Responsiveness 20, Of the 16 most recent discussions that aren't pull requests (7 May to 14 August 2026), 10 have a reply from a Zyphra member, which is most. Version policy 5, the original checkpoint is kept as ZAYA1-8B-legacy and the card says so at the top, without a date. File health 10, Config, template and card agree on the architecture after the reshape. 5 + 0 + 10 + 20 + 5 + 10 = 50.\n\n### Reach: Muse Glimmer 30B +10\n\n- Muse Glimmer 30B (90): Memory 25, Meta's 16.8 GB Q4_K_M GGUF needs about 20 GB with the runtime's fifth, so it fits a 24 GB card but not 16 GB. Runtimes 25, released model code in vLLM, SGLang, Transformers, llama.cpp and Ollama's library fills the cap. Builds 15, Meta publishes GGUF and ExecuTorch 4-bit builds, read as two kinds as gemma-4-31b-it was, though all are 4-bit k-quants. Terms 10, Apache 2.0 with a usage policy that adds limits beyond the law, so a free commercial licence under a use policy. Download 10, no repository is gated. Hosted 5, Meta's API doesn't serve it but Together, Featherless AI and DeepInfra are live on its Hub page.\n- ZAYA1-8B (80): Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB. Runtimes 10, Released Transformers 5.22.2 has the zaya model and SGLang 0.5.23 has srt/models/zaya.py. Builds 15, Quantised builds from Zyphra at two precisions, FP8 and MXFP4 for the experts, each in its own repository. Terms 15, Apache 2.0 in the card's metadata, an OSI licence with nothing added. Download 10, the Hub API reports gated false for the model and its builds 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 the card names no API. Zyphra's site lists a cloud product for its open models, which wasn't checked for this model. 30 + 10 + 15 + 15 + 10 + 0 = 80.\n\n## Score by category\n\n| Category | Weight | Muse Glimmer 30B | ZAYA1-8B | Edge |\n| --- | --- | --- | --- | --- |\n| Capability | 35%, pending | pending | pending | not scored in this run |\n| Reach | 25% (25 this run) | 90 | 80 | Muse Glimmer 30B +10 |\n| Risk | 20% (20 this run) | 80 | 55 | Muse Glimmer 30B +25 |\n| Agent interface | 10% (10 this run) | 75 | 60 | Muse Glimmer 30B +15 |\n| Documentation and upkeep | 10% (10 this run) | 65 | 50 | Muse Glimmer 30B +15 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **70 · BB** | **61 · C** | |\n\n## Facts side by side\n\n| Fact | Muse Glimmer 30B | ZAYA1-8B |\n| --- | --- | --- |\n| Kind | Open-weight model | Open-weight model |\n| Vendor | Meta | Zyphra |\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 | Apache-2.0 | Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-20 | 2026-07-02 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Agent reviews | 3.8/5 (4) | none |\n\n## Verdicts\n\n**Muse Glimmer 30B.** A dense 30B multimodal cousin for local agent and coding work with images, documented tool calls and adjustable reasoning. Meta's 17 GB GGUF fits a 24 GB card and runs in llama.cpp, Ollama, vLLM, SGLang and Transformers. The main risks are one tool call per turn, no documented JSON output and a usage policy that adds limits to Apache 2.0.\n\n**ZAYA1-8B.** A small reasoning model trained from scratch by one lab, with a clean licence, 4-bit and FP8 builds and a team that answers questions. It's the hardest of the small models to run: its own architecture, a card that points at forks, and tool calling that needs a parser no release has. Little on limits, data or safety.\n\n## Before you call either\n\n### Muse Glimmer 30B\n\n1. Start it with `llama serve -hf meta-models/Muse-Glimmer-30B-GGUF --hf-file Muse-Glimmer-30B-KQuant-17GB-Q4_K_M.gguf -ngl 99 -c 131072 --host 127.0.0.1 --port 8080 --chat-template-kwargs '{\"reasoning_strength\":\"high\"}'` on llama.cpp b10353 or later, or `ollama run muse-glimmer` on Ollama 0.32.7 or later\n2. In vLLM pass `--tool-call-parser muse_glimmer --reasoning-parser muse_glimmer`, in SGLang `muse` for both, in ExecuTorch `--tool-parser atem`. Without them tool calls come back as plain text\n3. Set reasoning per request with `chat_template_kwargs.reasoning_strength` (low, medium, high or xhigh). llama.cpp and ExecuTorch don't read `reasoning_effort`, and ExecuTorch rejects it with a 400\n4. Expect one tool call per turn and return each result before the next. ExecuTorch's server rejects `tool_choice=\"required\"`\n5. Keep temperature 1.0, top_p 0.95 and top_k 64, don't run greedy, and never stop on `\u003c|eom|\u003e`\n6. Leave max_tokens room for reasoning, since in llama.cpp a request cut off mid-thought returns empty content with finish_reason length\n7. For images add Meta's 1.4 GB mmproj GGUF, which takes the build to about 22 GB with the runtime's fifth\n\n### ZAYA1-8B\n\n1. Use it for reasoning, maths and code. Don't count on tool calling outside Zyphra's vLLM fork\n2. Run it with Transformers 5.22.2 or SGLang 0.5.23, which have the model built in\n3. Use temperature 1.0 and top_p 0.95 in general, and temperature 0.6 for agent and code work\n4. Download `Zyphra/ZAYA1-8B`, not the legacy repository, for the released runtimes\n5. The quantised repositories have no licence tag. The main one is Apache 2.0\n\n## Questions\n\n### Which is better for AI agents, Muse Glimmer 30B or ZAYA1-8B?\n\nMuse Glimmer 30B scores 70 (BB) on agent readiness against ZAYA1-8B's 61 (C), and leads in every scored category.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-zaya1-8b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-zaya1-8b.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"muse-glimmer-30b\", \"b\": \"zaya1-8b\"}`. From a terminal: `anchor compare muse-glimmer-30b zaya1-8b`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/muse-glimmer-30b.json and https://www.anchorterminal.com/api/v1/tools/zaya1-8b.json\n\n## Other comparisons with Muse Glimmer 30B or ZAYA1-8B\n\n- [Agents-A1-4B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/agents-a1-4b-vs-muse-glimmer-30b.md)\n- [Agents-A1-4B vs ZAYA1-8B](https://www.anchorterminal.com/compare/agents-a1-4b-vs-zaya1-8b.md)\n- [Apertus v1.5 8B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-muse-glimmer-30b.md)\n- [Apertus v1.5 8B vs ZAYA1-8B](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-zaya1-8b.md)\n- [Apodex-1.1-mini vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-muse-glimmer-30b.md)\n- [Apodex-1.1-mini vs ZAYA1-8B](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-zaya1-8b.md)\n- [Arete-27B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/arete-27b-vs-muse-glimmer-30b.md)\n- [Arete-27B vs ZAYA1-8B](https://www.anchorterminal.com/compare/arete-27b-vs-zaya1-8b.md)\n- [BigBang-v1 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/bigbang-v1-vs-muse-glimmer-30b.md)\n- [BigBang-v1 vs ZAYA1-8B](https://www.anchorterminal.com/compare/bigbang-v1-vs-zaya1-8b.md)\n- [Carbon-X vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/carbon-x-vs-muse-glimmer-30b.md)\n- [Carbon-X vs ZAYA1-8B](https://www.anchorterminal.com/compare/carbon-x-vs-zaya1-8b.md)\n- [Cola2 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/cola2-vs-muse-glimmer-30b.md)\n- [Cola2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b.md)\n- [Cosmos-Reason2-2B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-muse-glimmer-30b.md)\n- [Cosmos-Reason2-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-zaya1-8b.md)\n- [Darwin-36B-Opus vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/darwin-36b-opus-vs-muse-glimmer-30b.md)\n- [Darwin-36B-Opus vs ZAYA1-8B](https://www.anchorterminal.com/compare/darwin-36b-opus-vs-zaya1-8b.md)\n- [DeepSeek-V3.2 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/deepseek-v3-2-vs-muse-glimmer-30b.md)\n- [DeepSeek-V3.2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/deepseek-v3-2-vs-zaya1-8b.md)\n- [DeepSeek V4.1 Flash vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-muse-glimmer-30b.md)\n- [DeepSeek V4.1 Flash vs ZAYA1-8B](https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-zaya1-8b.md)\n- [DeepSeek-V4-Flash-0731 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-muse-glimmer-30b.md)\n- [DeepSeek-V4-Flash-0731 vs ZAYA1-8B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-zaya1-8b.md)\n- [Devstral Small 2 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/devstral-small-2-vs-muse-glimmer-30b.md)\n- [Devstral Small 2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/devstral-small-2-vs-zaya1-8b.md)\n- [DiffusionGemma 26B A4B IT vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-muse-glimmer-30b.md)\n- [DiffusionGemma 26B A4B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-zaya1-8b.md)\n- [EXAONE 4.5 33B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-muse-glimmer-30b.md)\n- [EXAONE 4.5 33B vs ZAYA1-8B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-zaya1-8b.md)\n- [Gemma 4 12B IT vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-muse-glimmer-30b.md)\n- [Gemma 4 12B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-zaya1-8b.md)\n- [Gemma 4 26B A4B IT vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-muse-glimmer-30b.md)\n- [Gemma 4 26B A4B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-zaya1-8b.md)\n- [Gemma 4 31B IT vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-muse-glimmer-30b.md)\n- [Gemma 4 31B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-zaya1-8b.md)\n- [Gemma 4 E2B IT vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-muse-glimmer-30b.md)\n- [Gemma 4 E2B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-zaya1-8b.md)\n- [Gemma 4 E4B IT vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-muse-glimmer-30b.md)\n- [Gemma 4 E4B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-zaya1-8b.md)\n- [GLM-4.5-Air vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/glm-4-5-air-vs-muse-glimmer-30b.md)\n- [GLM-4.5-Air vs ZAYA1-8B](https://www.anchorterminal.com/compare/glm-4-5-air-vs-zaya1-8b.md)\n- [GLM-4.7-Flash vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/glm-4-7-flash-vs-muse-glimmer-30b.md)\n- [GLM-4.7-Flash vs ZAYA1-8B](https://www.anchorterminal.com/compare/glm-4-7-flash-vs-zaya1-8b.md)\n- [GLM-5.3-Flash vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/glm-5-3-flash-vs-muse-glimmer-30b.md)\n- [GLM-5.3-Flash vs ZAYA1-8B](https://www.anchorterminal.com/compare/glm-5-3-flash-vs-zaya1-8b.md)\n- [GLM-5.3 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/glm-5-3-vs-muse-glimmer-30b.md)\n- [GLM-5.3 vs ZAYA1-8B](https://www.anchorterminal.com/compare/glm-5-3-vs-zaya1-8b.md)\n- [gpt-oss-120b vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-muse-glimmer-30b.md)\n- [gpt-oss-120b vs ZAYA1-8B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-zaya1-8b.md)\n- [gpt-oss-20b vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/gpt-oss-20b-vs-muse-glimmer-30b.md)\n- [gpt-oss-20b vs ZAYA1-8B](https://www.anchorterminal.com/compare/gpt-oss-20b-vs-zaya1-8b.md)\n- [Granite 4.2 30B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-muse-glimmer-30b.md)\n- [Granite 4.2 30B vs ZAYA1-8B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-zaya1-8b.md)\n- [Granite 4.2 3B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/granite-4-2-3b-vs-muse-glimmer-30b.md)\n- [Granite 4.2 3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/granite-4-2-3b-vs-zaya1-8b.md)\n- [Granite 4.2 8B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/granite-4-2-8b-vs-muse-glimmer-30b.md)\n- [Granite 4.2 8B vs ZAYA1-8B](https://www.anchorterminal.com/compare/granite-4-2-8b-vs-zaya1-8b.md)\n- [Hy-Memory-30B-A3B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-muse-glimmer-30b.md)\n- [Hy-Memory-30B-A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-zaya1-8b.md)\n- [Hy3 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/hy3-vs-muse-glimmer-30b.md)\n- [Hy3 vs ZAYA1-8B](https://www.anchorterminal.com/compare/hy3-vs-zaya1-8b.md)\n- [Inkling-Small vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/inkling-small-vs-muse-glimmer-30b.md)\n- [Inkling-Small vs ZAYA1-8B](https://www.anchorterminal.com/compare/inkling-small-vs-zaya1-8b.md)\n- [Inkling vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/inkling-vs-muse-glimmer-30b.md)\n- [Inkling vs ZAYA1-8B](https://www.anchorterminal.com/compare/inkling-vs-zaya1-8b.md)\n- [InternVL3.5-GPT-OSS-20B-A4B-Preview vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-muse-glimmer-30b.md)\n- [InternVL3.5-GPT-OSS-20B-A4B-Preview vs ZAYA1-8B](https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-zaya1-8b.md)\n- [Kimi K3.1 Pro vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-muse-glimmer-30b.md)\n- [Kimi K3.1 Pro vs ZAYA1-8B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-zaya1-8b.md)\n- [Kimi K3 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/kimi-k3-vs-muse-glimmer-30b.md)\n- [Kimi K3 vs ZAYA1-8B](https://www.anchorterminal.com/compare/kimi-k3-vs-zaya1-8b.md)\n- [Kolibri-1 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/kolibri-1-vs-muse-glimmer-30b.md)\n- [Kolibri-1 vs ZAYA1-8B](https://www.anchorterminal.com/compare/kolibri-1-vs-zaya1-8b.md)\n- [Kronos vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/kronos-vs-muse-glimmer-30b.md)\n- [Kronos vs ZAYA1-8B](https://www.anchorterminal.com/compare/kronos-vs-zaya1-8b.md)\n- [Laguna M.1 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/laguna-m-1-vs-muse-glimmer-30b.md)\n- [Laguna M.1 vs ZAYA1-8B](https://www.anchorterminal.com/compare/laguna-m-1-vs-zaya1-8b.md)\n- [Laguna S 2.1 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/laguna-s-2-1-vs-muse-glimmer-30b.md)\n- [Laguna S 2.1 vs ZAYA1-8B](https://www.anchorterminal.com/compare/laguna-s-2-1-vs-zaya1-8b.md)\n- [Laguna XS 2.1 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-muse-glimmer-30b.md)\n- [Laguna XS 2.1 vs ZAYA1-8B](https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-zaya1-8b.md)\n- [LBS-27B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/lbs-27b-vs-muse-glimmer-30b.md)\n- [LBS-27B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lbs-27b-vs-zaya1-8b.md)\n- [LFM2.5-2.6B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-muse-glimmer-30b.md)\n- [LFM2.5-2.6B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-zaya1-8b.md)\n- [LFM3-1.7B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/lfm3-1-7b-vs-muse-glimmer-30b.md)\n- [LFM3-1.7B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm3-1-7b-vs-zaya1-8b.md)\n- [LFM3-Audio-2B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-muse-glimmer-30b.md)\n- [LFM3-Audio-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-zaya1-8b.md)\n- [LFM3-Omni-2B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-muse-glimmer-30b.md)\n- [LFM3-Omni-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-zaya1-8b.md)\n- [LFM3-VL-2B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-muse-glimmer-30b.md)\n- [LFM3-VL-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-zaya1-8b.md)\n- [Ling-3.0-tiny vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-muse-glimmer-30b.md)\n- [Ling-3.0-tiny vs ZAYA1-8B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-zaya1-8b.md)\n- [Ling-3.1-flash-1019 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-muse-glimmer-30b.md)\n- [Ling-3.1-flash-1019 vs ZAYA1-8B](https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-zaya1-8b.md)\n- [LongCat-2.5 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/longcat-2-5-vs-muse-glimmer-30b.md)\n- [LongCat-2.5 vs ZAYA1-8B](https://www.anchorterminal.com/compare/longcat-2-5-vs-zaya1-8b.md)\n- [MiMo-V2.6 Distill Qwen 9B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-muse-glimmer-30b.md)\n- [MiMo-V2.6 Distill Qwen 9B vs ZAYA1-8B](https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-zaya1-8b.md)\n- [MiMo-V2.6-Flash-RL vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-muse-glimmer-30b.md)\n- [MiMo-V2.6-Flash-RL vs ZAYA1-8B](https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-zaya1-8b.md)\n- [MiniCPM-o 4.5 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-muse-glimmer-30b.md)\n- [MiniCPM-o 4.5 vs ZAYA1-8B](https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-zaya1-8b.md)\n- [MiniCPM-V 4.7 1B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-muse-glimmer-30b.md)\n- [MiniCPM-V 4.7 1B vs ZAYA1-8B](https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-zaya1-8b.md)\n- [MiniCPM-V 4.7 35B-A3B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-muse-glimmer-30b.md)\n- [MiniCPM-V 4.7 35B-A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-zaya1-8b.md)\n- [MiniCPM5-2B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/minicpm5-2b-vs-muse-glimmer-30b.md)\n- [MiniCPM5-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/minicpm5-2b-vs-zaya1-8b.md)\n- [MiniMax-M2.5 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/minimax-m2-5-vs-muse-glimmer-30b.md)\n- [MiniMax-M2.5 vs ZAYA1-8B](https://www.anchorterminal.com/compare/minimax-m2-5-vs-zaya1-8b.md)\n- [MiniMax-M2.7 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/minimax-m2-7-vs-muse-glimmer-30b.md)\n- [MiniMax-M2.7 vs ZAYA1-8B](https://www.anchorterminal.com/compare/minimax-m2-7-vs-zaya1-8b.md)\n- [MiniMax-M3.1-Flash vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-muse-glimmer-30b.md)\n- [MiniMax-M3.1-Flash vs ZAYA1-8B](https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-zaya1-8b.md)\n- [Mistral Large 4 vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/mistral-large-4-vs-muse-glimmer-30b.md)\n- [Mistral Large 4 vs ZAYA1-8B](https://www.anchorterminal.com/compare/mistral-large-4-vs-zaya1-8b.md)\n- [Muse Glimmer 30B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nanbeige-4-2-3b.md)\n- [Muse Glimmer 30B vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nanbeige-4-3-33b.md)\n- [Muse Glimmer 30B vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-5-bolt-e4b-4gb.md)\n- [Muse Glimmer 30B vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-5-lightning-30b-a3b.md)\n- [Muse Glimmer 30B vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-nano-30b-a3b.md)\n- [Muse Glimmer 30B vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-nano-4b.md)\n- [Muse Glimmer 30B vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md)\n- [Muse Glimmer 30B vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-super-120b-a12b.md)\n- [Muse Glimmer 30B vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-nemotron-3-ultra-550b-a55b.md)\n- [Muse Glimmer 30B vs North Mini Code 1.0](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-north-mini-code-1-0.md)\n- [Muse Glimmer 30B vs occamy-1.0](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-occamy-1-0.md)\n- [Muse Glimmer 30B vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-olmo-3-7b-think.md)\n- [Muse Glimmer 30B vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-122b.md)\n- [Muse Glimmer 30B vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-35b-a3b.md)\n- [Muse Glimmer 30B vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-397b.md)\n- [Muse Glimmer 30B vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ornith-1-5-9b.md)\n- [Muse Glimmer 30B vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-otel-2-0-llm-31b-it.md)\n- [Muse Glimmer 30B vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen-agentworld-35b-a3b.md)\n- [Muse Glimmer 30B vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-30b-a3b-instruct-2507.md)\n- [Muse Glimmer 30B vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-4b-instruct-2507.md)\n- [Muse Glimmer 30B vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-0-8b.md)\n- [Muse Glimmer 30B vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-122b-a10b.md)\n- [Muse Glimmer 30B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-2b.md)\n- [Muse Glimmer 30B vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-397b-a17b.md)\n- [Muse Glimmer 30B vs Qwen3.5-4B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-4b.md)\n- [Muse Glimmer 30B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-5-9b.md)\n- [Muse Glimmer 30B vs Qwen3.6-27B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-6-27b.md)\n- [Muse Glimmer 30B vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-6-35b-a3b.md)\n- [Muse Glimmer 30B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-8-27b.md)\n- [Muse Glimmer 30B vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-8-flash-next.md)\n- [Muse Glimmer 30B vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-coder-30b-a3b-instruct.md)\n- [Muse Glimmer 30B vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-coder-next.md)\n- [Muse Glimmer 30B vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-omni-30b-a3b-instruct.md)\n- [Muse Glimmer 30B vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-2b-instruct.md)\n- [Muse Glimmer 30B vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-30b-a3b-instruct.md)\n- [Muse Glimmer 30B vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-32b-instruct.md)\n- [Muse Glimmer 30B vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-4b-instruct.md)\n- [Muse Glimmer 30B vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwen3-vl-8b-instruct.md)\n- [Muse Glimmer 30B vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-qwopus3-8-27b-flash-v2.md)\n- [Muse Glimmer 30B vs Recursive Flint](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-recursive-flint.md)\n- [Muse Glimmer 30B vs Ripple-65B Preview](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-ripple-65b-preview.md)\n- [Muse Glimmer 30B vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-sensenova-loop-9b-preview.md)\n- [Muse Glimmer 30B vs SmolLM3-3B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-smollm3-3b.md)\n- [Muse Glimmer 30B vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-spark-x2-6-4b.md)\n- [Muse Glimmer 30B vs Step 3.7 Flash](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-step-3-7-flash.md)\n- [Muse Glimmer 30B vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-swift-1-5-qwen3-8-27b.md)\n- [Muse Glimmer 30B vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-swift-1-5-qwen3-8-flash-next.md)\n- [Muse Glimmer 30B vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-thinkingcap-qwen3-8-27b.md)\n- [Muse Glimmer 30B vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-unlimited-ocr-2.md)\n- [Muse Glimmer 30B vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-wevisone-vl-2b.md)\n- [Muse Glimmer 30B vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-wevisone-vl-4b.md)\n- [Nanbeige4.2-3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-zaya1-8b.md)\n- [Nanbeige4.3-33B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-zaya1-8b.md)\n- [NVIDIA Nemotron 3.5 Bolt E4B 4GB vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-zaya1-8b.md)\n- [Nemotron 3.5 Lightning 30B A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-zaya1-8b.md)\n- [Nemotron 3 Nano 30B A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-nano-30b-a3b-vs-zaya1-8b.md)\n- [Nemotron 3 Nano 4B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-nano-4b-vs-zaya1-8b.md)\n- [Nemotron 3 Nano Omni 30B A3B Reasoning vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-zaya1-8b.md)\n- [Nemotron 3 Super 120B A12B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-super-120b-a12b-vs-zaya1-8b.md)\n- [Nemotron 3 Ultra 550B A55B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-ultra-550b-a55b-vs-zaya1-8b.md)\n- [North Mini Code 1.0 vs ZAYA1-8B](https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-zaya1-8b.md)\n- [occamy-1.0 vs ZAYA1-8B](https://www.anchorterminal.com/compare/occamy-1-0-vs-zaya1-8b.md)\n- [Olmo 3 7B Think vs ZAYA1-8B](https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-zaya1-8b.md)\n- [Ornith-1.5-122B vs ZAYA1-8B](https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-zaya1-8b.md)\n- [Ornith-1.5-35B-A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-zaya1-8b.md)\n- [Ornith-1.5-397B vs ZAYA1-8B](https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-zaya1-8b.md)\n- [Ornith-1.5-9B vs ZAYA1-8B](https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-zaya1-8b.md)\n- [OTel-2.0-LLM-31B-IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-zaya1-8b.md)\n- [Qwen-AgentWorld-35B-A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-zaya1-8b.md)\n- [Qwen3-30B-A3B-Instruct-2507 vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-zaya1-8b.md)\n- [Qwen3-4B-Instruct-2507 vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-4b-instruct-2507-vs-zaya1-8b.md)\n- [Qwen3.5-0.8B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-0-8b-vs-zaya1-8b.md)\n- [Qwen3.5-122B-A10B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-zaya1-8b.md)\n- [Qwen3.5-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-zaya1-8b.md)\n- [Qwen3.5-397B-A17B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-zaya1-8b.md)\n- [Qwen3.5-4B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-4b-vs-zaya1-8b.md)\n- [Qwen3.5-9B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-zaya1-8b.md)\n- [Qwen3.6-27B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-6-27b-vs-zaya1-8b.md)\n- [Qwen3.6-35B-A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-6-35b-a3b-vs-zaya1-8b.md)\n- [Qwen3.8-27B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-zaya1-8b.md)\n- [Qwen3.8-Flash-Next vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-8-flash-next-vs-zaya1-8b.md)\n- [Qwen3-Coder-30B-A3B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-coder-30b-a3b-instruct-vs-zaya1-8b.md)\n- [Qwen3-Coder-Next vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-coder-next-vs-zaya1-8b.md)\n- [Qwen3-Omni-30B-A3B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-omni-30b-a3b-instruct-vs-zaya1-8b.md)\n- [Qwen3-VL-2B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-vl-2b-instruct-vs-zaya1-8b.md)\n- [Qwen3-VL-30B-A3B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-vl-30b-a3b-instruct-vs-zaya1-8b.md)\n- [Qwen3-VL-32B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-vl-32b-instruct-vs-zaya1-8b.md)\n- [Qwen3-VL-4B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-vl-4b-instruct-vs-zaya1-8b.md)\n- [Qwen3-VL-8B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-vl-8b-instruct-vs-zaya1-8b.md)\n- [Qwopus3.8-27B-Flash-V2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwopus3-8-27b-flash-v2-vs-zaya1-8b.md)\n- [Recursive Flint vs ZAYA1-8B](https://www.anchorterminal.com/compare/recursive-flint-vs-zaya1-8b.md)\n- [Ripple-65B Preview vs ZAYA1-8B](https://www.anchorterminal.com/compare/ripple-65b-preview-vs-zaya1-8b.md)\n- [SenseNova-Loop-9B-Preview vs ZAYA1-8B](https://www.anchorterminal.com/compare/sensenova-loop-9b-preview-vs-zaya1-8b.md)\n- [SmolLM3-3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/smollm3-3b-vs-zaya1-8b.md)\n- [Spark-X2.6-4B vs ZAYA1-8B](https://www.anchorterminal.com/compare/spark-x2-6-4b-vs-zaya1-8b.md)\n- [Step 3.7 Flash vs ZAYA1-8B](https://www.anchorterminal.com/compare/step-3-7-flash-vs-zaya1-8b.md)\n- [Swift 1.5 Qwen3.8-27B vs ZAYA1-8B](https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-27b-vs-zaya1-8b.md)\n- [Swift 1.5 Qwen3.8-Flash-Next vs ZAYA1-8B](https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-flash-next-vs-zaya1-8b.md)\n- [ThinkingCap (Qwen3.8 27B) vs ZAYA1-8B](https://www.anchorterminal.com/compare/thinkingcap-qwen3-8-27b-vs-zaya1-8b.md)\n- [Baidu Unlimited-OCR-2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/unlimited-ocr-2-vs-zaya1-8b.md)\n- [WeVisOne-VL-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/wevisone-vl-2b-vs-zaya1-8b.md)\n- [WeVisOne-VL-4B vs ZAYA1-8B](https://www.anchorterminal.com/compare/wevisone-vl-4b-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": "Muse Glimmer 30B vs ZAYA1-8B", "url": "" } ], "description": "Muse Glimmer 30B scores 70 (BB) to ZAYA1-8B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Muse Glimmer 30B BB 70", "ZAYA1-8B C 61", "scores" ], "h1": "Muse Glimmer 30B vs ZAYA1-8B", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/muse-glimmer-30b-vs-zaya1-8b", "published": "2026-10-01", "section": "tools", "title": "Muse Glimmer 30B vs ZAYA1-8B for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-10", "url": "https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-zaya1-8b" }, "tokens": { "markdown": 9350, "slim": 730 }, "version": 1 }