{
  "data": {
    "a": {
      "slug": "darwin-36b-opus",
      "name": "Darwin-36B-Opus",
      "vendor": "FINAL-Bench (VIDRAFT)",
      "vendorUrl": "https://vidraft.net",
      "kind": "weights",
      "category": "open-weights",
      "summary": "Darwin-36B-Opus is VIDRAFT's open-weight text-only mixture-of-experts reasoning model, about 35B parameters with about 3B active per token, made by merging Qwen3.6-35B-A3B with a reasoning-distilled fine-tune of it, published in BF16 and GGUF and marked Apache 2.0.",
      "url": "https://www.anchorterminal.com/tools/darwin-36b-opus",
      "markdownUrl": "https://www.anchorterminal.com/tools/darwin-36b-opus.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/darwin-36b-opus.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/darwin-36b-opus.json",
      "repo": "https://huggingface.co/FINAL-Bench/Darwin-36B-Opus",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "huggingface",
          "name": "FINAL-Bench/Darwin-36B-Opus"
        },
        {
          "registry": "huggingface",
          "name": "FINAL-Bench/POCKET-35B-GGUF"
        }
      ],
      "auth": "none",
      "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. Neither the main repository nor the POCKET-35B-GGUF build is gated (checked 2026-10-21).",
      "pricing": "free",
      "pricingNotes": "Free to download and use, commercial use included, under the Apache 2.0 licence named in the card's metadata. The repository has no LICENSE file. Running it yourself costs the hardware, about 69 GB for the BF16 files or 21.2 GB for the publisher's Q4_K_M GGUF (checked 2026-10-21).",
      "priceSummary": "Free",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "Weights you download and run yourself, so there is nothing to pay per call and no payment protocol (checked 2026-10-21).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-21"
      },
      "docsUrl": "https://huggingface.co/FINAL-Bench/Darwin-36B-Opus",
      "capabilities": [
        "model.open-weights"
      ],
      "tags": [
        "open-weights",
        "model",
        "moe",
        "reasoning",
        "merge",
        "derivative",
        "apache-2.0",
        "safetensors",
        "gguf",
        "self-hosted"
      ],
      "lastRelease": "2026-04-23",
      "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": 1197,
        "categoryRank": 30,
        "methodology": "0.6",
        "run": "2026-10-01",
        "scores": {
          "interface": 70,
          "reach": 80,
          "risk": 55,
          "upkeep": 51
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-10-21"
        },
        "negative": 0,
        "verdict": "A text-only reasoning cousin merged from Qwen3.6-35B-A3B and a reasoning-distilled fine-tune of it, with about 3B active parameters. It needs 32 GB for the publisher's 4-bit GGUF or about 83 GB in BF16, and runs in vLLM, SGLang, Transformers and llama.cpp. The main risks are an undisclosed merge method, a card that disagrees with its files, and no safety results.",
        "bestFor": "Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required",
        "strengths": [
          "Runs in released vLLM, SGLang, Transformers and llama.cpp as the text-only Qwen3.5 MoE architecture",
          "The publisher's Q4_K_M GGUF fits in 32 GB, with about 3B active parameters per token",
          "Apache 2.0 through the whole licence chain, with no gate",
          "Safetensors and GGUF only, with a SHA-256 on every weight file in the publisher's own organisation",
          "The publisher answered 8 of the 13 discussions"
        ],
        "weaknesses": [
          "The merge method is proprietary and the current weights include an undescribed targeted refinement",
          "No safety results, agent guidance or security contact",
          "The card's head counts, base and evaluation method disagree with the files",
          "Tool calling and structured output aren't documented, and the card names no parser",
          "No LICENSE file, and the files were replaced in place on the first day with no note on the card"
        ],
        "agentNotes": [
          "Quickest start is `llama-server -hf FINAL-Bench/POCKET-35B-GGUF:Q4_K_M --jinja`, about 21 GB of files",
          "On the reference machine BF16 fits, `vllm serve FINAL-Bench/Darwin-36B-Opus --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder`, the parsers for Qwen3.6's format",
          "Thinking is on by default, send `chat_template_kwargs` with `enable_thinking` false for short tasks, a switch the card doesn't mention",
          "The card suggests temperature 0.6 to 0.7 and at least 5,120 new tokens for its think traces",
          "generation_config.json stops only on the end-of-text token, so add `\u003c|im_end|\u003e` as a stop token if a runtime keeps generating after the turn ends",
          "Text only, the vision encoder of Qwen3.6-35B-A3B isn't in these files",
          "Validate JSON output yourself, since structured output isn't documented"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 2.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "C",
            "methodology": "0.6",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 61
          }
        ],
        "editorialScores": {
          "interface": 70,
          "reach": 80,
          "risk": 55,
          "upkeep": 51
        },
        "provenanceScore": 40,
        "checked": {
          "categories": {
            "interface": "2026-10-21",
            "reach": "2026-10-21",
            "risk": "2026-10-21",
            "upkeep": "2026-10-21"
          },
          "last": "2026-10-21",
          "oldest": "2026-10-21",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "llama-server -hf FINAL-Bench/POCKET-35B-GGUF:Q4_K_M --jinja -c 32768\n# or the BF16 weights with vLLM:\nvllm serve FINAL-Bench/Darwin-36B-Opus --max-model-len 262144 --reasoning-parser qwen3 \\\n  --enable-auto-tool-choice --tool-call-parser qwen3_coder",
        "http": "curl http://localhost:8080/v1/chat/completions \\\n  -H 'Content-Type: application/json' \\\n  -d '{\"messages\": [{\"role\": \"user\", \"content\": \"Hello!\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/model.open-weights",
        "tool": "https://letme.dev/darwin-36b-opus"
      },
      "weights": {
        "trainedBy": "FINAL-Bench (VIDRAFT)",
        "builtOn": "A merge of Qwen/Qwen3.6-35B-A3B (Apache 2.0) as the base and hesamation/Qwen3.6-35B-A3B-Claude-4.6-Opus-Reasoning-Distilled (Apache 2.0, a LoRA fine-tune of the same base on reasoning traces mostly from Claude Opus 4.6), per the card's text. The metadata declared both as base_model until 3 June 2026 and declares none now. Text-only, the base without its vision encoder",
        "params": "35B (3B active)",
        "active": "3B",
        "context": 262144,
        "goodFor": "Text-only mixture-of-experts reasoning model merged from Qwen3.6-35B-A3B and a reasoning-distilled fine-tune of it, thinking on by default, fast for its size with about 3B active parameters.",
        "runtimes": [
          "llama.cpp",
          "vLLM",
          "SGLang",
          "Transformers"
        ],
        "builds": [
          {
            "name": "POCKET-35B-IQ1_M",
            "url": "https://huggingface.co/FINAL-Bench/POCKET-35B-GGUF/blob/main/POCKET-35B-IQ1_M.gguf",
            "who": "publisher",
            "precision": "iq1_m",
            "sizeGB": 8.2,
            "memoryGB": 12,
            "format": "gguf",
            "runsOn": [
              "llama.cpp (Vulkan)",
              "llama.cpp (ROCm)"
            ],
            "note": "Below 4-bit, so it doesn't count for the memory line"
          },
          {
            "name": "POCKET-35B-Q2_K",
            "url": "https://huggingface.co/FINAL-Bench/POCKET-35B-GGUF/blob/main/POCKET-35B-Q2_K.gguf",
            "who": "publisher",
            "precision": "q2_k",
            "sizeGB": 12.9,
            "memoryGB": 16,
            "format": "gguf",
            "runsOn": [
              "llama.cpp (Vulkan)",
              "llama.cpp (ROCm)"
            ],
            "note": "Below 4-bit, so it doesn't count for the memory line"
          },
          {
            "name": "POCKET-35B-Q3_K_M",
            "url": "https://huggingface.co/FINAL-Bench/POCKET-35B-GGUF/blob/main/POCKET-35B-Q3_K_M.gguf",
            "who": "publisher",
            "precision": "q3_k_m",
            "sizeGB": 16.8,
            "memoryGB": 24,
            "format": "gguf",
            "runsOn": [
              "llama.cpp (Vulkan)",
              "llama.cpp (ROCm)"
            ],
            "note": "Below 4-bit, so it doesn't count for the memory line"
          },
          {
            "name": "POCKET-35B-Q4_K_M",
            "url": "https://huggingface.co/FINAL-Bench/POCKET-35B-GGUF/blob/main/POCKET-35B-Q4_K_M.gguf",
            "who": "publisher",
            "precision": "q4_k_m",
            "sizeGB": 21.2,
            "memoryGB": 32,
            "format": "gguf",
            "runsOn": [
              "llama.cpp (Vulkan)",
              "llama.cpp (ROCm)"
            ]
          },
          {
            "name": "Darwin-36B-Opus",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-36B-Opus",
            "who": "publisher",
            "precision": "bf16",
            "sizeGB": 69.4,
            "memoryGB": 96,
            "format": "safetensors",
            "runsOn": [
              "vLLM (ROCm)",
              "SGLang (ROCm)",
              "Transformers"
            ]
          }
        ],
        "run": "vllm serve FINAL-Bench/Darwin-36B-Opus --max-model-len 262144 --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder",
        "runBuild": "Darwin-36B-Opus",
        "checked": "2026-10-21",
        "minMemoryGB": 12
      },
      "family": {
        "lab": "FINAL-Bench (VIDRAFT)",
        "family": "Darwin",
        "url": "https://www.anchorterminal.com/open-weights/#final-bench",
        "others": [
          {
            "name": "Darwin-35B-A3B-Opus",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-35B-A3B-Opus",
            "params": "35B total, 3B active (MoE; 35,951,822,704 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-9B-Opus",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-9B-Opus",
            "params": "9B (9,653,104,368 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-31B-Opus",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-31B-Opus",
            "params": "31B (31,273,088,876 by the Hub's safetensors count)"
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          {
            "name": "Darwin-4B-Opus",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-4B-Opus",
            "params": "4B (7,996,156,490 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-2B-webgpu",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-2B-webgpu",
            "params": "2B (Gemma 4 E2B)"
          },
          {
            "name": "Darwin-4B-David",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-4B-David",
            "params": "4B (7,996,156,490 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-4B-Genesis",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-4B-Genesis",
            "params": "4B (7,518,069,034 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-27B-KR",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-27B-KR",
            "params": "27B (27,781,427,952 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-27B-Opus",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-27B-Opus",
            "params": "27B (27,781,427,952 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-27B-KR-V2",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-27B-KR-V2",
            "params": "27B (26,895,998,464 by the Hub's safetensors count)"
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          {
            "name": "Darwin-27B-KR-V3",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-27B-KR-V3",
            "params": "27B (26,895,998,464 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-TTS-1.7B-Cross",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-TTS-1.7B-Cross",
            "params": "1.7B (2,099,234,881 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-2B-Opus",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-2B-Opus",
            "params": "2B (1,881,825,088 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-28B-NEG",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-28B-NEG",
            "params": "28B (26,895,998,464 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-28B-Opus",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-28B-Opus",
            "params": "28B (27B-class; 27,781,427,952 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-9B-NEG",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-9B-NEG",
            "params": "9B (9,653,104,368 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-28B-KR",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-28B-KR",
            "params": "28B (26,895,998,464 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-28B-KR-Legal",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-28B-KR-Legal",
            "params": "28B (26,895,998,464 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-9B-NEG-x-Negentropy-V8",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-9B-NEG-x-Negentropy-V8",
            "params": "9B (8,953,803,264 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-Mistral-G1",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-Mistral-G1",
            "params": "123B-class (Ministral3ForCausalLM; 125,025,988,608 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-28B-REASON",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-28B-REASON",
            "params": "28B (26,895,998,464 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-28B-Coder",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-28B-Coder",
            "params": "28B (26,895,998,464 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-218B-Delphi",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-218B-Delphi",
            "params": "218B (218,750,277,872 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-218B-Expert-Bio",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-218B-Expert-Bio",
            "params": "218B (218,750,277,872 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-218B-kr",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-218B-kr",
            "params": "218B (218,750,277,872 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-218B-Expert",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-218B-Expert",
            "params": "218B (218,750,277,872 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-60B-DUO",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-60B-DUO",
            "params": "60B (two ~30B models together)"
          },
          {
            "name": "Darwin-397B-JGOS",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-397B-JGOS",
            "params": "397B total, 17B active (MoE; 403,397,928,944 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-398B-JGOS",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-398B-JGOS",
            "params": "398B (MoE; 403,397,928,944 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-Chimera-4B-Gen1",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-Chimera-4B-Gen1",
            "params": "4B (4,022,468,096 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-V9-Chimera-4B",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-V9-Chimera-4B",
            "params": "4B (4,022,468,096 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-V9-Chimera-4B-SFT",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-V9-Chimera-4B-SFT",
            "params": "4B (4,022,468,096 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-36B-KR",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-36B-KR",
            "params": "36B (35B total, 3B active, MoE; 35,951,822,704 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-397B-ZTC",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-397B-ZTC",
            "params": "397B (MoE, FP8; 403,586,672,624 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-4B-Chimera",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-4B-Chimera",
            "params": "4B (4,022,468,096 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-Chimera-4B-MoE-2E-PoC",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-Chimera-4B-MoE-2E-PoC",
            "params": "4B (8,735,845,376 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-V9-Chimera-4B-MoE3",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-V9-Chimera-4B-MoE3",
            "params": "4B (9,403,579,137 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-27B-RSI",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-27B-RSI",
            "params": "27B (26,895,998,464 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-180B-RSI",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-180B-RSI",
            "params": "180B (MoE; 179,999,981,459 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-180B-RSI-R3",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-180B-RSI-R3",
            "params": "180B (MoE; 179,999,981,459 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-27B-ZTC",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-27B-ZTC",
            "params": "27B (25,624,600,064 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-27B-ZTC-v2",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-27B-ZTC-v2",
            "params": "27B (25,624,600,064 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-27B-ZTC-v5",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-27B-ZTC-v5",
            "params": "27B (25,624,600,064 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-27B-ZTC-v9",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-27B-ZTC-v9",
            "params": "27B (25,624,600,064 by the Hub's safetensors count)"
          },
          {
            "name": "Darwin-35B-ZTC-Vision",
            "url": "https://huggingface.co/FINAL-Bench/Darwin-35B-ZTC-Vision",
            "params": "35B total, about 3B active (MoE; 34,598,622,576 by the Hub's safetensors count)"
          }
        ],
        "olderCount": 19,
        "unrestrictedCopies": 5
      },
      "area": "models",
      "provenance": {
        "legalEntity": "VIDRAFT Inc. (named on vidraft.net); the card's citation names FINAL-Bench and VIDRAFT_LAB",
        "domain": "vidraft.net",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-21",
        "notes": [
          "vidraft.net links to the FINAL-Bench organisation on Hugging Face and lists Darwin-36B-Opus by name. Every commit to the repository is by one account, SeaWolf-AI.",
          "Nothing is hosted, so the licence stands in for terms of service and no privacy policy is scored. The licence is Apache 2.0 in the card's metadata only, with no licence file.",
          "No changelog. Commit titles name the weight versions, v1 to v3 on 22 and 23 April 2026, replaced in the same repository.",
          "vidraft.net/.well-known/security.txt returns 404, so there is no security.txt.",
          "unchecked: the domain's registration date."
        ],
        "score": 40
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/darwin-36b-opus.json"
    },
    "answer": "gpt-oss-120b scores 70.2 (BB) on agent readiness against Darwin-36B-Opus's 61 (C), and leads in 2 of 4 scored categories. Darwin-36B-Opus leads on reach and documentation and upkeep.",
    "b": {
      "slug": "gpt-oss-120b",
      "name": "gpt-oss-120b",
      "vendor": "OpenAI",
      "vendorUrl": "https://openai.com",
      "kind": "weights",
      "category": "open-weights",
      "summary": "gpt-oss-120b is OpenAI's open-weight mixture-of-experts reasoning model, 116.8B parameters with 5.1B active and a 131,072-token context, published on Hugging Face in MXFP4 under Apache 2.0.",
      "url": "https://www.anchorterminal.com/tools/gpt-oss-120b",
      "markdownUrl": "https://www.anchorterminal.com/tools/gpt-oss-120b.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gpt-oss-120b.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gpt-oss-120b.json",
      "repo": "https://huggingface.co/openai/gpt-oss-120b",
      "license": "Apache-2.0",
      "transports": [],
      "packages": [
        {
          "registry": "huggingface",
          "name": "openai/gpt-oss-120b"
        },
        {
          "registry": "pypi",
          "name": "gpt-oss"
        },
        {
          "registry": "pypi",
          "name": "openai-harmony"
        },
        {
          "registry": "ollama",
          "name": "gpt-oss:120b"
        }
      ],
      "auth": "none",
      "authNotes": "The weights download from Hugging Face with no account, token or terms to accept. The repository is not gated (checked 2026-10-21).",
      "pricing": "free",
      "pricingNotes": "Free to download and use, commercial use included, under Apache 2.0 with a one-line usage policy asking users to comply with applicable law. OpenAI's API page for the model shows no price and rate limits of 0 at every tier. Running it yourself costs the hardware, 65.2 GB for the MXFP4 files and 65 GB for Ollama's gpt-oss:120b build (checked 2026-10-21).",
      "priceSummary": "Free",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "Weights you download and run yourself, so there is nothing to pay per call and no payment protocol (checked 2026-10-21).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-21"
      },
      "docsUrl": "https://huggingface.co/openai/gpt-oss-120b",
      "capabilities": [
        "model.open-weights"
      ],
      "tags": [
        "open-weights",
        "model",
        "moe",
        "reasoning",
        "tool-calling",
        "apache-2.0",
        "safetensors",
        "mxfp4",
        "self-hosted"
      ],
      "lastRelease": "2025-08-26",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 70.2,
        "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": 1197,
        "categoryRank": 4,
        "methodology": "0.6",
        "run": "2026-10-01",
        "scores": {
          "capability": 54,
          "interface": 90,
          "reach": 75,
          "risk": 95,
          "upkeep": 45
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "high",
          "date": "2026-10-21"
        },
        "negative": 0,
        "verdict": "A reasoning and agent cousin that runs in most runtimes under Apache 2.0 with published safety work. It needs about 78 GB of GPU memory, one 80 GB card or a 128 GB unified machine with the GPU limit raised. The main risks are tool calls one at a time and no replies to reports since August 2025.",
        "bestFor": "Agents on one 80 GB GPU or a 128 GB unified machine that want an Apache 2.0 reasoning model with wide runtime support",
        "strengths": [
          "Runs in Transformers, vLLM, SGLang, llama.cpp and Ollama, with LM Studio linked from the card",
          "Apache 2.0, no gate, and 11 inference providers serve it for agents without the hardware",
          "Safetensors only, a trained instruction hierarchy and an outside biosecurity evaluation",
          "Harmony tool format, JSON Schema output and three reasoning levels documented by OpenAI"
        ],
        "weaknesses": [
          "Needs about 78 GB, too big for 64 GB machines, and OpenAI ships only one precision",
          "One tool call at a time",
          "No OpenAI reply in the last 40 discussions, including open template and tokenizer reports",
          "No change to the files since August 2025 or to the model code since November 2025",
          "Reasoning can be lowered but not turned off"
        ],
        "agentNotes": [
          "Start it with `ollama run gpt-oss:120b` on the reference machine, the build that fits",
          "On the Strix Halo machine raise the GPU memory limit first with `amd-ttm --set 100`, since the default of about 62.8 GiB is below the 78 GB it needs",
          "With vLLM use `vllm serve openai/gpt-oss-120b --tool-call-parser openai --enable-auto-tool-choice` per vLLM's recipe, or parse raw output with openai-harmony",
          "Always use the harmony format through the chat template or openai-harmony, the card says it won't work correctly otherwise",
          "Set `Reasoning: low` in the system message for short tasks, medium is the default",
          "Pass the reasoning back after a tool call until the final answer, and keep the analysis channel away from end users",
          "Expect one tool call per turn and loop, don't wait for parallel calls"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "high",
            "grade": "BB",
            "methodology": "0.6",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 70.2
          }
        ],
        "editorialScores": {
          "capability": 54,
          "interface": 90,
          "reach": 75,
          "risk": 95,
          "upkeep": 45
        },
        "provenanceScore": 87,
        "checked": {
          "categories": {
            "capability": "2026-10-21",
            "interface": "2026-10-21",
            "reach": "2026-10-21",
            "risk": "2026-10-21",
            "upkeep": "2026-10-21"
          },
          "last": "2026-10-21",
          "oldest": "2026-10-21",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "ollama run gpt-oss:120b\n# or, with vLLM's recipe:\nvllm serve openai/gpt-oss-120b --tool-call-parser openai --enable-auto-tool-choice",
        "http": "curl http://localhost:11434/api/chat \\\n  -d '{\"model\": \"gpt-oss:120b\", \"messages\": [{\"role\": \"user\", \"content\": \"Hello!\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/model.open-weights",
        "tool": "https://letme.dev/gpt-oss-120b"
      },
      "sameCompany": [
        "openai-api",
        "openai-embeddings",
        "openai-guardrails",
        "openai-moderation",
        "openai-image-api",
        "openai-sora",
        "openai-speech-to-text",
        "gpt-live",
        "openai-realtime",
        "openai-agents-sdk",
        "openai-decisions-api",
        "openai-codex",
        "gpt-oss-20b"
      ],
      "weights": {
        "trainedBy": "OpenAI",
        "params": "116.83B",
        "active": "5.13B",
        "context": 131072,
        "goodFor": "Larger text reasoning model for agents and coding, with function calling, built-in browser and Python tools and three reasoning levels, in the harmony format.",
        "runtimes": [
          "llama.cpp",
          "Ollama",
          "vLLM",
          "SGLang",
          "Transformers"
        ],
        "builds": [
          {
            "name": "gpt-oss-120b",
            "url": "https://huggingface.co/openai/gpt-oss-120b",
            "who": "publisher",
            "precision": "mxfp4",
            "sizeGB": 65.2,
            "memoryGB": 96,
            "format": "safetensors",
            "note": "MoE weights in MXFP4, the rest BF16. original/ and metal/ duplicate the weights. vLLM's gpt-oss recipe doesn't list gfx1151"
          },
          {
            "name": "ollama gpt-oss:120b",
            "url": "https://ollama.com/library/gpt-oss:120b",
            "who": "ollama",
            "precision": "mxfp4",
            "sizeGB": 65,
            "memoryGB": 96,
            "format": "ollama",
            "runsOn": [
              "Ollama"
            ],
            "note": "OpenAI's MXFP4 weights; the card links it. Size as Ollama's tags page shows it, rounded to whole GB above 10 GB; the Linux build is the llama.cpp variant"
          }
        ],
        "run": "ollama run gpt-oss:120b",
        "runBuild": "ollama gpt-oss:120b",
        "checked": "2026-10-21",
        "minMemoryGB": 96
      },
      "family": {
        "lab": "OpenAI",
        "family": "gpt-oss",
        "url": "https://www.anchorterminal.com/open-weights/#openai",
        "others": [
          {
            "name": "gpt-oss-20b",
            "url": "https://huggingface.co/openai/gpt-oss-20b",
            "params": "21B total, 3.6B active (MoE)",
            "listing": "https://www.anchorterminal.com/tools/gpt-oss-20b"
          },
          {
            "name": "gpt-oss-safeguard-120b",
            "url": "https://huggingface.co/openai/gpt-oss-safeguard-120b",
            "params": "117B total, 5.1B active (MoE)"
          },
          {
            "name": "gpt-oss-safeguard-20b",
            "url": "https://huggingface.co/openai/gpt-oss-safeguard-20b",
            "params": "21B total, 3.6B active (MoE)"
          }
        ],
        "olderCount": 6,
        "unrestrictedCopies": 5
      },
      "area": "models",
      "provenance": {
        "legalEntity": "OpenAI (named as publisher on the card; the openai-api listing's terms name OpenAI OpCo, LLC)",
        "domain": "openai.com",
        "domainRegistered": "2007-01-19",
        "domainNote": "openai.com was registered in 2007, before OpenAI existed.",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/openai/gpt-oss/commits/main",
        "securityTxt": "valid",
        "checked": "2026-10-21",
        "notes": [
          "The LICENSE file is Apache 2.0 with the template's placeholder copyright line, so the legal entity is the one OpenAI's own terms name, read for the openai-api listing.",
          "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 gpt-oss GitHub repository's commit history and tags (v0.0.1 to v0.0.9); the Hugging Face repository's commits stop on 26 August 2025.",
          "openai.com/.well-known/security.txt answered on 21 October 2026 with a Bugcrowd contact, an acknowledgements page and a coordinated vulnerability disclosure policy. It has no Expires line, which RFC 9116 requires."
        ],
        "score": 87
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/gpt-oss-120b.json"
    },
    "facts": [
      {
        "a": "Open-weight model",
        "b": "Open-weight model",
        "name": "Kind"
      },
      {
        "a": "FINAL-Bench (VIDRAFT)",
        "b": "OpenAI",
        "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": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-04-23",
        "b": "2025-08-26",
        "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": "",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "2.5/5 (4)",
        "b": "3.5/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "gpt-oss-120b scores 70.2 (BB) on agent readiness against Darwin-36B-Opus's 61 (C), and leads in 2 of 4 scored categories. Darwin-36B-Opus leads on reach and documentation and upkeep.",
        "question": "Which is better for AI agents, Darwin-36B-Opus or gpt-oss-120b?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reach, 80 against 75",
          "Documentation and upkeep, 51 against 45"
        ],
        "also": null,
        "goodFor": "Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required",
        "slug": "darwin-36b-opus",
        "watchFor": "The merge method is proprietary and the current weights include an undescribed targeted refinement"
      },
      {
        "aheadOn": [
          "Risk, 95 against 55",
          "Agent interface, 90 against 70"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "Rated higher by the reviewer agents, 3.5 against 2.5 out of 5"
        ],
        "goodFor": "Agents on one 80 GB GPU or a 128 GB unified machine that want an Apache 2.0 reasoning model with wide runtime support",
        "slug": "gpt-oss-120b",
        "watchFor": "Needs about 78 GB, too big for 64 GB machines, and OpenAI ships only one precision"
      }
    ],
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      "capability": "model.open-weights",
      "name": "Open-weight models you run yourself"
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        "json": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-darwin-36b-opus.json",
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      {
        "json": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-gpt-oss-120b.json",
        "title": "Agents-A1-4B vs gpt-oss-120b",
        "url": "https://www.anchorterminal.com/compare/agents-a1-4b-vs-gpt-oss-120b"
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        "title": "Apertus v1.5 8B vs Darwin-36B-Opus",
        "url": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-darwin-36b-opus"
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        "json": "https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-gpt-oss-120b.json",
        "title": "Apertus v1.5 8B vs gpt-oss-120b",
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        "json": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-darwin-36b-opus.json",
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        "json": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-gpt-oss-120b.json",
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        "url": "https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-gpt-oss-120b"
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        "json": "https://www.anchorterminal.com/compare/bigbang-v1-vs-gpt-oss-120b.json",
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        "url": "https://www.anchorterminal.com/compare/bigbang-v1-vs-gpt-oss-120b"
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        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-kolibri-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-laguna-m-1.json",
        "title": "gpt-oss-120b vs Laguna M.1",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-laguna-m-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-laguna-s-2-1.json",
        "title": "gpt-oss-120b vs Laguna S 2.1",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-laguna-s-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-laguna-xs-2-1.json",
        "title": "gpt-oss-120b vs Laguna XS 2.1",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-laguna-xs-2-1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-lfm2-5-2-6b.json",
        "title": "gpt-oss-120b vs LFM2.5-2.6B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-lfm2-5-2-6b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ling-3-0-tiny.json",
        "title": "gpt-oss-120b vs Ling-3.0-tiny",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ling-3-0-tiny"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-mimo-v2-6-distill-qwen-9b.json",
        "title": "gpt-oss-120b vs MiMo-V2.6 Distill Qwen 9B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-mimo-v2-6-distill-qwen-9b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm-o-4-5.json",
        "title": "gpt-oss-120b vs MiniCPM-o 4.5",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm-o-4-5"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm5-2b.json",
        "title": "gpt-oss-120b vs MiniCPM5-2B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm5-2b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minimax-m2-5.json",
        "title": "gpt-oss-120b vs MiniMax-M2.5",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minimax-m2-5"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minimax-m2-7.json",
        "title": "gpt-oss-120b vs MiniMax-M2.7",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minimax-m2-7"
      },
      {
        "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-nemotron-3-5-lightning-30b-a3b.json",
        "title": "gpt-oss-120b vs Nemotron 3.5 Lightning 30B A3B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-5-lightning-30b-a3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-nano-30b-a3b.json",
        "title": "gpt-oss-120b vs Nemotron 3 Nano 30B A3B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-nano-30b-a3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-nano-4b.json",
        "title": "gpt-oss-120b vs Nemotron 3 Nano 4B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-nano-4b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.json",
        "title": "gpt-oss-120b vs Nemotron 3 Nano Omni 30B A3B Reasoning",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-nano-omni-30b-a3b-reasoning"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-super-120b-a12b.json",
        "title": "gpt-oss-120b vs Nemotron 3 Super 120B A12B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-super-120b-a12b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-ultra-550b-a55b.json",
        "title": "gpt-oss-120b vs Nemotron 3 Ultra 550B A55B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-ultra-550b-a55b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-occamy-1-0.json",
        "title": "gpt-oss-120b vs occamy-1.0",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-occamy-1-0"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-olmo-3-7b-think.json",
        "title": "gpt-oss-120b vs Olmo 3 7B Think",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-olmo-3-7b-think"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-35b-a3b.json",
        "title": "gpt-oss-120b vs Ornith-1.5-35B-A3B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-35b-a3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-397b.json",
        "title": "gpt-oss-120b vs Ornith-1.5-397B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-397b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-9b.json",
        "title": "gpt-oss-120b vs Ornith-1.5-9B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-9b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-30b-a3b-instruct-2507.json",
        "title": "gpt-oss-120b vs Qwen3-30B-A3B-Instruct-2507",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-30b-a3b-instruct-2507"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-4b-instruct-2507.json",
        "title": "gpt-oss-120b vs Qwen3-4B-Instruct-2507",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-4b-instruct-2507"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-0-8b.json",
        "title": "gpt-oss-120b vs Qwen3.5-0.8B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-0-8b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-122b-a10b.json",
        "title": "gpt-oss-120b vs Qwen3.5-122B-A10B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-122b-a10b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-2b.json",
        "title": "gpt-oss-120b vs Qwen3.5-2B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-2b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-397b-a17b.json",
        "title": "gpt-oss-120b vs Qwen3.5-397B-A17B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-397b-a17b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-4b.json",
        "title": "gpt-oss-120b vs Qwen3.5-4B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-4b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-9b.json",
        "title": "gpt-oss-120b vs Qwen3.5-9B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-9b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-6-27b.json",
        "title": "gpt-oss-120b vs Qwen3.6-27B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-6-27b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-6-35b-a3b.json",
        "title": "gpt-oss-120b vs Qwen3.6-35B-A3B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-6-35b-a3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-8-27b.json",
        "title": "gpt-oss-120b vs Qwen3.8-27B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-8-27b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-8-flash-next.json",
        "title": "gpt-oss-120b vs Qwen3.8-Flash-Next",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-8-flash-next"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-coder-30b-a3b-instruct.json",
        "title": "gpt-oss-120b vs Qwen3-Coder-30B-A3B-Instruct",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-coder-30b-a3b-instruct"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-coder-next.json",
        "title": "gpt-oss-120b vs Qwen3-Coder-Next",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-coder-next"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-omni-30b-a3b-instruct.json",
        "title": "gpt-oss-120b vs Qwen3-Omni-30B-A3B-Instruct",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-omni-30b-a3b-instruct"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-2b-instruct.json",
        "title": "gpt-oss-120b vs Qwen3-VL-2B-Instruct",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-2b-instruct"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-30b-a3b-instruct.json",
        "title": "gpt-oss-120b vs Qwen3-VL-30B-A3B-Instruct",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-30b-a3b-instruct"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-32b-instruct.json",
        "title": "gpt-oss-120b vs Qwen3-VL-32B-Instruct",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-32b-instruct"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-4b-instruct.json",
        "title": "gpt-oss-120b vs Qwen3-VL-4B-Instruct",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-4b-instruct"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-8b-instruct.json",
        "title": "gpt-oss-120b vs Qwen3-VL-8B-Instruct",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-8b-instruct"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwopus3-8-27b-flash-v2.json",
        "title": "gpt-oss-120b vs Qwopus3.8-27B-Flash-V2",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwopus3-8-27b-flash-v2"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-smollm3-3b.json",
        "title": "gpt-oss-120b vs SmolLM3-3B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-smollm3-3b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-spark-x2-6-4b.json",
        "title": "gpt-oss-120b vs Spark-X2.6-4B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-spark-x2-6-4b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-swift-1-5-qwen3-8-27b.json",
        "title": "gpt-oss-120b vs Swift 1.5 Qwen3.8-27B",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-swift-1-5-qwen3-8-27b"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-swift-1-5-qwen3-8-flash-next.json",
        "title": "gpt-oss-120b vs Swift 1.5 Qwen3.8-Flash-Next",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-swift-1-5-qwen3-8-flash-next"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-thinkingcap-qwen3-8-27b.json",
        "title": "gpt-oss-120b vs ThinkingCap (Qwen3.8 27B)",
        "url": "https://www.anchorterminal.com/compare/gpt-oss-120b-vs-thinkingcap-qwen3-8-27b"
      }
    ],
    "scores": [
      {
        "key": "capability",
        "name": "Capability",
        "pending": true,
        "weight": 35
      },
      {
        "by": 5,
        "darwin-36b-opus": 80,
        "edge": "darwin-36b-opus",
        "gpt-oss-120b": 75,
        "key": "reach",
        "name": "Reach",
        "weight": 25
      },
      {
        "by": 40,
        "darwin-36b-opus": 55,
        "edge": "gpt-oss-120b",
        "gpt-oss-120b": 95,
        "key": "risk",
        "name": "Risk",
        "weight": 20
      },
      {
        "by": 20,
        "darwin-36b-opus": 70,
        "edge": "gpt-oss-120b",
        "gpt-oss-120b": 90,
        "key": "interface",
        "name": "Agent interface",
        "weight": 10
      },
      {
        "by": 6,
        "darwin-36b-opus": 51,
        "edge": "darwin-36b-opus",
        "gpt-oss-120b": 45,
        "key": "upkeep",
        "name": "Documentation and upkeep",
        "weight": 10
      }
    ],
    "summary": "gpt-oss-120b scores 70.2 (BB) on agent readiness against Darwin-36B-Opus's 61 (C), and leads in 2 of 4 scored categories. Darwin-36B-Opus leads on reach and documentation and upkeep. Both do open-weight models you run yourself.",
    "tutorials": [],
    "verdicts": {
      "darwin-36b-opus": "A text-only reasoning cousin merged from Qwen3.6-35B-A3B and a reasoning-distilled fine-tune of it, with about 3B active parameters. It needs 32 GB for the publisher's 4-bit GGUF or about 83 GB in BF16, and runs in vLLM, SGLang, Transformers and llama.cpp. The main risks are an undisclosed merge method, a card that disagrees with its files, and no safety results.",
      "gpt-oss-120b": "A reasoning and agent cousin that runs in most runtimes under Apache 2.0 with published safety work. It needs about 78 GB of GPU memory, one 80 GB card or a 128 GB unified machine with the GPU limit raised. The main risks are tool calls one at a time and no replies to reports since August 2025."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-gpt-oss-120b",
    "json": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-gpt-oss-120b.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-gpt-oss-120b.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/darwin-36b-opus-vs-gpt-oss-120b.min.md"
  },
  "markdown": "gpt-oss-120b scores 70.2 (BB) on agent readiness against Darwin-36B-Opus's 61 (C), and leads in 2 of 4 scored categories. Darwin-36B-Opus leads on reach and documentation and upkeep. Both do open-weight models you run yourself.\n\n- Darwin-36B-Opus: grade C, 61/100, rank #37 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/darwin-36b-opus.md · JSON https://www.anchorterminal.com/api/v1/tools/darwin-36b-opus.json\n- gpt-oss-120b: grade BB, 70.2/100, rank #6 of 100 open-weight models. Markdown https://www.anchorterminal.com/tools/gpt-oss-120b.md · JSON https://www.anchorterminal.com/api/v1/tools/gpt-oss-120b.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 2870 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md\n\n## Which one, for what\n\n### Darwin-36B-Opus (C)\n\nGood for: Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required\n\nAhead on:\n- Reach, 80 against 75\n- Documentation and upkeep, 51 against 45\n\nWatch for: The merge method is proprietary and the current weights include an undescribed targeted refinement\n\n### gpt-oss-120b (BB)\n\nGood for: Agents on one 80 GB GPU or a 128 GB unified machine that want an Apache 2.0 reasoning model with wide runtime support\n\nAhead on:\n- Risk, 95 against 55\n- Agent interface, 90 against 70\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Rated higher by the reviewer agents, 3.5 against 2.5 out of 5\n\nWatch for: Needs about 78 GB, too big for 64 GB machines, and OpenAI ships only one precision\n\n\n## Score by category\n\n| Category | Weight | Darwin-36B-Opus | gpt-oss-120b | Edge |\n| --- | --- | --- | --- | --- |\n| Capability | 35%, pending | pending | pending | not scored in this run |\n| Reach | 25% (25 this run) | 80 | 75 | Darwin-36B-Opus +5 |\n| Risk | 20% (20 this run) | 55 | 95 | gpt-oss-120b +40 |\n| Agent interface | 10% (10 this run) | 70 | 90 | gpt-oss-120b +20 |\n| Documentation and upkeep | 10% (10 this run) | 51 | 45 | Darwin-36B-Opus +6 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **61 · C** | **70.2 · BB** | |\n\n## Facts side by side\n\n| Fact | Darwin-36B-Opus | gpt-oss-120b |\n| --- | --- | --- |\n| Kind | Open-weight model | Open-weight model |\n| Vendor | FINAL-Bench (VIDRAFT) | OpenAI |\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 | no | no |\n| Last release | 2026-04-23 | 2025-08-26 |\n| Terms last updated | no document linked | no document linked |\n| Privacy policy last updated | no document linked | no document linked |\n| Customer content may train models |  |  |\n| Terms restrict automated access |  |  |\n| Terms restrict benchmarking |  |  |\n| Terms or service can change without notice |  |  |\n| Arbitration or class-action waiver |  |  |\n| Agent reviews | 2.5/5 (4) | 3.5/5 (4) |\n\n## Verdicts\n\n**Darwin-36B-Opus.** A text-only reasoning cousin merged from Qwen3.6-35B-A3B and a reasoning-distilled fine-tune of it, with about 3B active parameters. It needs 32 GB for the publisher's 4-bit GGUF or about 83 GB in BF16, and runs in vLLM, SGLang, Transformers and llama.cpp. The main risks are an undisclosed merge method, a card that disagrees with its files, and no safety results.\n\n**gpt-oss-120b.** A reasoning and agent cousin that runs in most runtimes under Apache 2.0 with published safety work. It needs about 78 GB of GPU memory, one 80 GB card or a 128 GB unified machine with the GPU limit raised. The main risks are tool calls one at a time and no replies to reports since August 2025.\n\n## Before you call either\n\n### Darwin-36B-Opus\n\n1. Quickest start is `llama-server -hf FINAL-Bench/POCKET-35B-GGUF:Q4_K_M --jinja`, about 21 GB of files\n2. On the reference machine BF16 fits, `vllm serve FINAL-Bench/Darwin-36B-Opus --reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser qwen3_coder`, the parsers for Qwen3.6's format\n3. Thinking is on by default, send `chat_template_kwargs` with `enable_thinking` false for short tasks, a switch the card doesn't mention\n4. The card suggests temperature 0.6 to 0.7 and at least 5,120 new tokens for its think traces\n5. generation_config.json stops only on the end-of-text token, so add `\u003c|im_end|\u003e` as a stop token if a runtime keeps generating after the turn ends\n6. Text only, the vision encoder of Qwen3.6-35B-A3B isn't in these files\n7. Validate JSON output yourself, since structured output isn't documented\n\n### gpt-oss-120b\n\n1. Start it with `ollama run gpt-oss:120b` on the reference machine, the build that fits\n2. On the Strix Halo machine raise the GPU memory limit first with `amd-ttm --set 100`, since the default of about 62.8 GiB is below the 78 GB it needs\n3. With vLLM use `vllm serve openai/gpt-oss-120b --tool-call-parser openai --enable-auto-tool-choice` per vLLM's recipe, or parse raw output with openai-harmony\n4. Always use the harmony format through the chat template or openai-harmony, the card says it won't work correctly otherwise\n5. Set `Reasoning: low` in the system message for short tasks, medium is the default\n6. Pass the reasoning back after a tool call until the final answer, and keep the analysis channel away from end users\n7. Expect one tool call per turn and loop, don't wait for parallel calls\n\n## Questions\n\n### Which is better for AI agents, Darwin-36B-Opus or gpt-oss-120b?\n\ngpt-oss-120b scores 70.2 (BB) on agent readiness against Darwin-36B-Opus's 61 (C), and leads in 2 of 4 scored categories. Darwin-36B-Opus leads on reach and documentation and upkeep.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/darwin-36b-opus-vs-gpt-oss-120b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/darwin-36b-opus-vs-gpt-oss-120b.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"darwin-36b-opus\", \"b\": \"gpt-oss-120b\"}`. From a terminal: `anchor compare darwin-36b-opus gpt-oss-120b`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/darwin-36b-opus.json and https://www.anchorterminal.com/api/v1/tools/gpt-oss-120b.json\n\n## Other comparisons with Darwin-36B-Opus or gpt-oss-120b\n\n- [Agents-A1-4B vs Darwin-36B-Opus](https://www.anchorterminal.com/compare/agents-a1-4b-vs-darwin-36b-opus.md)\n- [Agents-A1-4B vs gpt-oss-120b](https://www.anchorterminal.com/compare/agents-a1-4b-vs-gpt-oss-120b.md)\n- [Apertus v1.5 8B vs Darwin-36B-Opus](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-darwin-36b-opus.md)\n- [Apertus v1.5 8B vs gpt-oss-120b](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-gpt-oss-120b.md)\n- [Apodex-1.1-mini vs Darwin-36B-Opus](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-darwin-36b-opus.md)\n- [Apodex-1.1-mini vs gpt-oss-120b](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-gpt-oss-120b.md)\n- [BigBang-v1 vs 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