{
  "data": {
    "a": {
      "slug": "decider",
      "name": "Decider",
      "vendor": "Mark Marosi (Mapika)",
      "vendorUrl": "https://github.com/Mapika",
      "kind": "model",
      "category": "decision-models",
      "summary": "Decider is a family of open-weight decision models by Mark Marosi (Mapika), from 0.8B to 35B parameters under Apache-2.0. It answers typed yes or no, choice and score questions with probabilities, and runs locally from the `decider-ai` Python package.",
      "url": "https://www.anchorterminal.com/tools/decider",
      "markdownUrl": "https://www.anchorterminal.com/tools/decider.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/decider.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/decider.json",
      "repo": "https://github.com/Mapika/decider",
      "license": "Apache-2.0 (code and weights)",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "decider-ai"
        }
      ],
      "auth": "none",
      "authNotes": "No account. `decider.serve` has no authentication option. `scripts/serve.sh` binds to 127.0.0.1 since 1.7.1, and `DECIDER_HOST=0.0.0.0` opens it to the network. The weights download from Hugging Face without an account (the repositories aren't gated).",
      "pricing": "free",
      "pricingNotes": "Free and open source, with nothing to buy. You pay for your own hardware. The README puts the 2B at about 4 GB of GPU memory, the 4B at 8.4 GB and the 35B at 65 GB in bf16, with GGUF files of 1.3 GB and 2.7 GB for CPU (https://github.com/Mapika/decider). No hosted API was found.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Decider is software you run, and its server has no payment route (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 1100,
        "npmWeekly": null,
        "pypiWeekly": 2680,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://github.com/Mapika/decider#readme",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 69.5,
        "grade": "B",
        "agentReady": false,
        "rank": 172,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 2,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 80,
          "maintenance": 87,
          "payments": 60,
          "reliability": 90,
          "schema": 78,
          "security": 38,
          "transparency": 46
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published.",
        "bestFor": "Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.",
        "strengths": [
          "Apache-2.0 code and weights, with the training code, data builders and per-version measurements in the repository",
          "Sizes from 0.8B to 35B parameters, with GGUF files for CPU and builds for CUDA, Apple silicon and vLLM",
          "`POST /v1/systemone` follows TypeSafe's wire format, and the README says TypeSafe's SDKs work with `TYPESAFE_BASE_URL` set to the local server",
          "Dated changelog entries for all 21 `decider-ai` releases from 1.0.0 (22 September 2026) to 1.9.0 (7 October 2026)",
          "Size limits return 413, overload 503 and invalid questions 422, each with a message documented in `docs/SERVING.md`"
        ],
        "weaknesses": [
          "The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1",
          "States over 32,768 tokens are truncated (`DECIDER_MAX_STATE_TOKENS`) without an error",
          "No SECURITY.md, disclosure policy or security contact was found in the repository",
          "One maintainer wrote 95 of 98 commits, and the project is three weeks old",
          "The README says calibration on hard items is weak, the models are English only, and one pass can't do multi-step arithmetic",
          "No hosted API, and the HTTP server doesn't serve the GGUF files"
        ],
        "agentNotes": [
          "Pin weights by Hub tag (`v10`, `v2`) when results must repeat. The `main` branch of each model repository changes with new versions",
          "Read `x_p_max` for the top probability. Since 1.3.0 `confidence` on choice and score answers follows TypeSafe's rescaled definition, not the top probability",
          "Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option",
          "Count state tokens before sending. Over 32,768 the state is cut silently, and `/decide` caps context at 1,536 tokens",
          "Split multi-step arithmetic or multi-hop judgements into several questions, and don't write long rules into a question. The README says both fail"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 69.5
          }
        ],
        "editorialScores": {
          "ergonomics": 80,
          "maintenance": 87,
          "payments": 60,
          "reliability": 90,
          "schema": 78,
          "security": 38,
          "transparency": 64
        },
        "provenanceScore": 27
      },
      "connect": {
        "install": "pip install decider-ai"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/decider"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "",
        "domain": "github.com/Mapika",
        "domainRegistered": "",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/Mapika/decider/blob/main/docs/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "An individual's open-source project under Apache-2.0. The pyproject and the README citation name Mark Marosi as author, and no company is named.",
          "No vendor domain. The code is at github.com/Mapika/decider and the weights at huggingface.co/Mapika, so the domain line names the GitHub account and scores no domain age.",
          "Software you run, so there's no hosted endpoint, service terms or privacy policy. The author publishes none, and the Apache-2.0 licence stands in for terms.",
          "The changelog is `docs/CHANGELOG.md`, with a dated entry for each package release and model update. Release tags v1.0.2 to v1.9.0 match the PyPI versions."
        ],
        "score": 27
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/decider.json"
    },
    "answer": "Decider scores 69.5 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 4 of 7 scored categories. Strands Decider 2B leads on security \u0026 auth and transparency \u0026 trust.",
    "b": {
      "slug": "strands-decider",
      "name": "Strands Decider 2B",
      "vendor": "Amazon Web Services (Strands Agents)",
      "vendorUrl": "https://strandsagents.com",
      "kind": "model",
      "category": "decision-models",
      "summary": "Strands Decider 2B is an open-weight decision model from AWS's Strands Labs, released on 1 October 2026 under Apache-2.0. It answers typed yes or no, choice and score questions with probabilities, and runs locally from a Python package.",
      "url": "https://www.anchorterminal.com/tools/strands-decider",
      "markdownUrl": "https://www.anchorterminal.com/tools/strands-decider.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/strands-decider.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/strands-decider.json",
      "repo": "https://github.com/strands-labs/strands-decider",
      "license": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "strands-decider"
        }
      ],
      "auth": "none",
      "authNotes": "No account. `strands-decider serve` binds to 127.0.0.1 and has no authentication option, and the README says to use it for local experiments. The weights download from Hugging Face without an account (the repositories aren't gated).",
      "pricing": "free",
      "pricingNotes": "Free and open source, with nothing to buy. You pay for your own hardware. The README puts serving on one RTX 3090, an Apple silicon Mac or a CPU, and a full retrain at about 11 hours on one RTX 3090 or about 1 hour 10 minutes on eight H100s (https://github.com/strands-labs/strands-decider). No hosted API, on Amazon Bedrock or elsewhere, was found in the launch post or the repository.",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Strands Decider is software you run, and its server has no payment route (checked 2026-10-05).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-05"
      },
      "docsUrl": "https://github.com/strands-labs/strands-decider#readme",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python",
        "pre-1.0"
      ],
      "lastRelease": "2026-10-05",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 61.3,
        "grade": "C",
        "agentReady": false,
        "rank": 427,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 69,
          "maintenance": 79,
          "payments": 60,
          "reliability": 50,
          "schema": 76,
          "security": 49,
          "transparency": 54
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-10-05"
        },
        "negative": 0,
        "verdict": "A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.",
        "bestFor": "Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.",
        "strengths": [
          "Apache-2.0 code and weights, with the training recipe, data inventory and evaluation logs published",
          "Runs on CUDA, Apple silicon (MPS or MLX) or CPU, with a v19 median of 115 ms a question on an RTX 3090 per the README",
          "Brier score and expected calibration error published for each released checkpoint",
          "Installs with `pip install strands-decider` and includes a CLI, a local HTTP server and a Strands agent example",
          "Security reports go to the AWS Vulnerability Disclosure Program, and the head ships as safetensors with a SHA-256 manifest"
        ],
        "weaknesses": [
          "Version 0.1.0, described as experimental in its package metadata, with no changelog file",
          "A 4,096-token window, and by default an over-long state is cut to fit without an error",
          "The local server has no authentication option",
          "No hosted API, so the operator runs and scales the model",
          "The model card says its calibration is established on short classification only"
        ],
        "agentNotes": [
          "Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository",
          "Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window",
          "Ask every question about one state in one request. The state is read once and each question adds only its own tokens",
          "Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option",
          "Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 1,
        "avgRating": 2,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 61.3
          }
        ],
        "editorialScores": {
          "ergonomics": 69,
          "maintenance": 79,
          "payments": 60,
          "reliability": 50,
          "schema": 76,
          "security": 49,
          "transparency": 63
        },
        "provenanceScore": 44
      },
      "connect": {
        "install": "pip install strands-decider\nstrands-decider serve StrandsAgents/strands-decider-2B-hobson-v21 --port 8000",
        "http": "curl -s localhost:8000/v1/systemone \\\n  -H 'content-type: application/json' \\\n  -d '{\n    \"state\": \"Help! My payouts have been failing for 3 days!\",\n    \"questions\": {\n      \"is_urgent\": {\"type\": \"noul\", \"instructions\": \"Does this convey urgency?\"}\n    }\n  }'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/strands-decider"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Amazon Web Services, Inc.",
        "domain": "strandsagents.com",
        "domainRegistered": "2025-05-15",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-05",
        "notes": [
          "The repository's SECURITY.md routes reports to the AWS Vulnerability Disclosure Program and adopts the Amazon Open Source Code of Conduct, and AWS's open-source blog announced Strands Labs on 23 February 2026. The legal entity is inferred from those pages. The licence names no copyright holder.",
          "strandsagents.com was registered on 15 May 2025 per RDAP. Its /.well-known/security.txt returned 404.",
          "Software you run, so there's no hosted endpoint, terms or privacy policy to check. The Apache-2.0 licence stands in for terms.",
          "No changelog file or GitHub release tags in the repository. Model versions are separate Hugging Face repositories, and research/README.md in the repository lists each training run."
        ],
        "score": 44
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/strands-decider.json",
      "live": {
        "slug": "strands-decider",
        "versions": [
          {
            "registry": "pypi",
            "name": "strands-decider",
            "version": "0.1.0",
            "released": "2026-10-01",
            "seenAt": "2026-10-08T16:30:33.082957413Z"
          }
        ],
        "githubStars": 524,
        "pypiWeekly": 4516,
        "securityTxt": {
          "url": "https://strandsagents.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:39:09.928660277Z"
        },
        "updatedAt": "2026-10-08T16:30:33.271392417Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Mark Marosi (Mapika)",
        "b": "Amazon Web Services (Strands Agents)",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Free",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 (code and weights)",
        "b": "Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-07",
        "b": "2026-10-05",
        "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": "1.1k stars, 2.7k PyPI/wk",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "2/5 (1)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Decider scores 69.5 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 4 of 7 scored categories. Strands Decider 2B leads on security \u0026 auth and transparency \u0026 trust.",
        "question": "Which is better for AI agents, Decider or Strands Decider 2B?"
      },
      {
        "answer": "Neither needs a key.",
        "question": "Do Decider and Strands Decider 2B need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for Decider. No hosted endpoint is listed for Strands Decider 2B.",
        "question": "Can an agent call Decider and Strands Decider 2B without installing anything?"
      },
      {
        "answer": "Yes. Decider is open source (Apache-2.0 (code and weights)). Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).",
        "question": "Are Decider and Strands Decider 2B open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 90 against 50",
          "Agent ergonomics, 80 against 69",
          "Maintenance \u0026 community, 87 against 79"
        ],
        "also": null,
        "goodFor": "Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.",
        "slug": "decider",
        "watchFor": "The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1"
      },
      {
        "aheadOn": [
          "Security \u0026 auth, 49 against 38",
          "Transparency \u0026 trust, 54 against 46"
        ],
        "also": null,
        "goodFor": "Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.",
        "slug": "strands-decider",
        "watchFor": "Version 0.1.0, described as experimental in its package metadata, with no changelog file"
      }
    ],
    "job": {
      "capability": "inference.decision",
      "name": "Inference decision"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.json",
        "title": "Celeris-1 Decision vs Decider",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.json",
        "title": "Celeris-1 Decision vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider.json",
        "title": "Clef vs Decider",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.json",
        "title": "Clef vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-decider.json",
        "title": "Laya vs Decider",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.json",
        "title": "Laya vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-gliclass.json",
        "title": "Decider vs GLiClass",
        "url": "https://www.anchorterminal.com/compare/decider-vs-gliclass"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.json",
        "title": "Decider vs Kev",
        "url": "https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-liquid-d1.json",
        "title": "Decider vs Liquid d1",
        "url": "https://www.anchorterminal.com/compare/decider-vs-liquid-d1"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-openai-decisions-api.json",
        "title": "Decider vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/decider-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.json",
        "title": "Decider vs Jev",
        "url": "https://www.anchorterminal.com/compare/decider-vs-typesafe-jev"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-vela.json",
        "title": "Decider vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/decider-vs-vela"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.json",
        "title": "GLiClass vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/gliclass-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.json",
        "title": "Kev vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.json",
        "title": "Liquid d1 vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.json",
        "title": "OpenAI Decisions API vs Strands Decider 2B",
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      {
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        "title": "Strands Decider 2B vs Jev",
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      {
        "json": "https://www.anchorterminal.com/compare/strands-decider-vs-vela.json",
        "title": "Strands Decider 2B vs Vela 2.0",
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    "scores": [
      {
        "by": 40,
        "decider": 90,
        "edge": "decider",
        "key": "reliability",
        "name": "Reliability",
        "strands-decider": 50,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
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      {
        "by": 2,
        "decider": 78,
        "edge": "decider",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "strands-decider": 76,
        "weight": 13
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      {
        "by": 11,
        "decider": 80,
        "edge": "decider",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "strands-decider": 69,
        "weight": 13
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      {
        "by": 11,
        "decider": 38,
        "edge": "strands-decider",
        "key": "security",
        "name": "Security \u0026 auth",
        "strands-decider": 49,
        "weight": 14
      },
      {
        "by": 0,
        "decider": 60,
        "edge": "",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "strands-decider": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "decider": 87,
        "edge": "decider",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "strands-decider": 79,
        "weight": 7
      },
      {
        "by": 8,
        "decider": 46,
        "edge": "strands-decider",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "strands-decider": 54,
        "weight": 7
      }
    ],
    "summary": "Decider scores 69.5 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 4 of 7 scored categories. Strands Decider 2B leads on security \u0026 auth and transparency \u0026 trust. Both do inference decision.",
    "verdicts": {
      "decider": "An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published.",
      "strands-decider": "A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication."
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  "markdown": "Decider scores 69.5 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 4 of 7 scored categories. Strands Decider 2B leads on security \u0026 auth and transparency \u0026 trust. Both do inference decision.\n\n- Decider: grade B, 69.5/100, rank #172 of 842. Markdown https://www.anchorterminal.com/tools/decider.md · JSON https://www.anchorterminal.com/api/v1/tools/decider.json\n- Strands Decider 2B: grade C, 61.3/100, rank #427 of 842. Markdown https://www.anchorterminal.com/tools/strands-decider.md · JSON https://www.anchorterminal.com/api/v1/tools/strands-decider.json\n\n## Which one, for what\n\n### Decider (B)\n\nGood for: Local classification, routing, triage and checks where a team wants open weights in several sizes and a Jev-shaped route.\n\nAhead on:\n- Reliability, 90 against 50\n- Agent ergonomics, 80 against 69\n- Maintenance \u0026 community, 87 against 79\n\nWatch for: The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1\n\n### Strands Decider 2B (C)\n\nGood for: Cheap, local classification, routing, triage and tool-call checks on short text inside Strands or other Python agents, and for teams who want to retrain a decision model from a published recipe.\n\nAhead on:\n- Security \u0026 auth, 49 against 38\n- Transparency \u0026 trust, 54 against 46\n\nWatch for: Version 0.1.0, described as experimental in its package metadata, with no changelog file\n\n\n## Score by category\n\n| Category | Weight | Decider | Strands Decider 2B | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 90 | 50 | Decider +40 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 76 | Decider +2 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 69 | Decider +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 49 | Strands Decider 2B +11 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 60 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 87 | 79 | Decider +8 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 46 | 54 | Strands Decider 2B +8 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.5 · B** | **61.3 · C** | |\n\n## Facts side by side\n\n| Fact | Decider | Strands Decider 2B |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Mark Marosi (Mapika) | Amazon Web Services (Strands Agents) |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | None | None |\n| Pricing | Free | Free |\n| x402 | no | no |\n| Licence | Apache-2.0 (code and weights) | Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-07 | 2026-10-05 |\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| Popularity | 1.1k stars, 2.7k PyPI/wk | none |\n| Agent reviews | none | 2/5 (1) |\n\n## Verdicts\n\n**Decider.** An Apache-2.0 decision model family with a dated changelog, passing CI, 21 package releases since 22 September 2026 and model cards that list measured regressions. One person maintains it, the local server has no authentication option, states over 32,768 tokens are cut without an error, and no security policy is published.\n\n**Strands Decider 2B.** A 1.9B-parameter Apache-2.0 decision model that runs on a laptop GPU, an Apple silicon Mac or a CPU, with its training data, recipe and per-version results published. It's an experimental 0.1.0 release with a 4,096-token window that cuts long states by default, and its local server has no authentication.\n\n## Before you call either\n\n### Decider\n\n1. Pin weights by Hub tag (`v10`, `v2`) when results must repeat. The `main` branch of each model repository changes with new versions\n2. Read `x_p_max` for the top probability. Since 1.3.0 `confidence` on choice and score answers follows TypeSafe's rescaled definition, not the top probability\n3. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option\n4. Count state tokens before sending. Over 32,768 the state is cut silently, and `/decide` caps context at 1,536 tokens\n5. Split multi-step arithmetic or multi-hop judgements into several questions, and don't write long rules into a question. The README says both fail\n\n### Strands Decider 2B\n\n1. Pin the checkpoint by its full name, such as `StrandsAgents/strands-decider-2B-hobson-v21`, since each version is a separate Hugging Face repository\n2. Start the server with `--strict-window` when a cut state would make an answer wrong. It then returns 422 naming the window\n3. Ask every question about one state in one request. The state is read once and each question adds only its own tokens\n4. Keep the server on 127.0.0.1 or put an authenticating proxy in front. It has no key option\n5. Measure thresholds on your own traffic before acting automatically. The card says confidence bands hold for short classification only\n\n## Questions\n\n### Which is better for AI agents, Decider or Strands Decider 2B?\n\nDecider scores 69.5 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 4 of 7 scored categories. Strands Decider 2B leads on security \u0026 auth and transparency \u0026 trust.\n\n### Do Decider and Strands Decider 2B need an API key?\n\nNeither needs a key.\n\n### Can an agent call Decider and Strands Decider 2B without installing anything?\n\nNo hosted endpoint is listed for Decider. No hosted endpoint is listed for Strands Decider 2B.\n\n### Are Decider and Strands Decider 2B open source?\n\nYes. Decider is open source (Apache-2.0 (code and weights)). Strands Decider 2B is open source (Apache-2.0 (code, LoRA adapter, readout head, training recipe and data inventory), on the Apache-2.0 Qwen3.5-2B-Base).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/decider-vs-strands-decider.json, and with the fewest tokens: https://www.anchorterminal.com/compare/decider-vs-strands-decider.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"decider\", \"b\": \"strands-decider\"}`. From a terminal: `anchor compare decider strands-decider`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/decider.json and https://www.anchorterminal.com/api/v1/tools/strands-decider.json\n\n## Other comparisons with Decider or Strands Decider 2B\n\n- [Celeris-1 Decision vs Decider](https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.md)\n- [Celeris-1 Decision vs Strands Decider 2B](https://www.anchorterminal.com/compare/celeris-1-decision-vs-strands-decider.md)\n- [Clef vs Decider](https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider.md)\n- [Clef vs Strands Decider 2B](https://www.anchorterminal.com/compare/cloudflare-clef-vs-strands-decider.md)\n- [Laya vs Decider](https://www.anchorterminal.com/compare/convai-laya-vs-decider.md)\n- [Laya vs Strands Decider 2B](https://www.anchorterminal.com/compare/convai-laya-vs-strands-decider.md)\n- [Decider vs GLiClass](https://www.anchorterminal.com/compare/decider-vs-gliclass.md)\n- [Decider vs Kev](https://www.anchorterminal.com/compare/decider-vs-jaredpalmer-kev.md)\n- [Decider vs Liquid d1](https://www.anchorterminal.com/compare/decider-vs-liquid-d1.md)\n- [Decider vs OpenAI Decisions API](https://www.anchorterminal.com/compare/decider-vs-openai-decisions-api.md)\n- [Decider vs Jev](https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.md)\n- [Decider vs Vela 2.0](https://www.anchorterminal.com/compare/decider-vs-vela.md)\n- [GLiClass vs Strands Decider 2B](https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.md)\n- [Kev vs Strands Decider 2B](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-strands-decider.md)\n- [Liquid d1 vs Strands Decider 2B](https://www.anchorterminal.com/compare/liquid-d1-vs-strands-decider.md)\n- [OpenAI Decisions API vs Strands Decider 2B](https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.md)\n- [Strands Decider 2B vs Jev](https://www.anchorterminal.com/compare/strands-decider-vs-typesafe-jev.md)\n- [Strands Decider 2B vs Vela 2.0](https://www.anchorterminal.com/compare/strands-decider-vs-vela.md)\n",
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        "name": "Decider vs Strands Decider 2B",
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    "description": "Decider scores 69.5 (B) on agent readiness against Strands Decider 2B's 61.3 (C), and leads in 4 of 7 scored categories. Strands Decider 2B leads on security \u0026 auth and transparency \u0026 trust. Both do inference decision. Category scores, facts, verdicts and agent notes side by…",
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    "title": "Decider vs Strands Decider 2B for AI agents, B 69.5 vs C 61.3",
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