{
  "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 Vela 2.0's 66.5 (B), and leads in 3 of 7 scored categories. Vela 2.0 leads on security \u0026 auth.",
    "b": {
      "slug": "vela",
      "name": "Vela 2.0",
      "vendor": "vLLM Semantic Router project and KR Labs",
      "vendorUrl": "https://vllm-sr.ai",
      "kind": "model",
      "category": "decision-models",
      "summary": "Vela 2.0 is a family of four open-weight decision models from the vLLM Semantic Router project and KR Labs, released on 6 October 2026 under Apache-2.0 for routing, safety checks, personal-data spans and hallucination checks.",
      "url": "https://www.anchorterminal.com/tools/vela",
      "markdownUrl": "https://www.anchorterminal.com/tools/vela.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vela.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vela.json",
      "repo": "https://github.com/vllm-project/semantic-router",
      "license": "Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "pypi",
          "name": "vllm-sr"
        }
      ],
      "auth": "none",
      "authNotes": "No account. The weights are public and ungated on Hugging Face. The bundled `vela2_serve.py` binds to 127.0.0.1 and ignores the Authorization header unless `VELA2_API_KEY` is set, after which it requires `Authorization: Bearer \u003ckey\u003e` and answers 401 otherwise. The router's model runtime has no authentication and publishes on 127.0.0.1 unless `--host` is passed.",
      "pricing": "free",
      "pricingNotes": "Free and open source, with nothing to buy and no hosted API. Hardware is the owner's cost. The 0.3B runs on a CPU, and the cards put GPU parameter memory at about 17 GB for the 4B. The router docs list about 32 GB for the 9B (checked 2026-10-08).",
      "priceSummary": "Free · OSS",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402. Vela 2.0 is software the owner runs, and neither server has a payment route (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 6054,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://huggingface.co/collections/vllm-sr/vela-20",
      "openapi": "https://raw.githubusercontent.com/vllm-project/semantic-router/main/src/model-runtime/vllm_srun/api/openapi.yaml",
      "capabilities": [
        "inference.decision",
        "guard.pii",
        "guard.injection",
        "guard.moderation",
        "guard.self-host"
      ],
      "tags": [
        "model",
        "open-source",
        "open-weights",
        "self-hosted",
        "local",
        "free",
        "python",
        "openapi"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 66.5,
        "grade": "B",
        "agentReady": false,
        "rank": 268,
        "ranked": true,
        "rankOf": 842,
        "categoryRank": 5,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 79,
          "maintenance": 84,
          "payments": 60,
          "reliability": 57,
          "schema": 78,
          "security": 60,
          "transparency": 48
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures.",
        "bestFor": "Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.",
        "strengths": [
          "Five question types in one request (choice, noul, score, set and span), with span answers as labelled character offsets and a probability each",
          "Apache-2.0 weights, code and documentation, ungated on Hugging Face, with safetensors files and a SHA256SUMS manifest in the three decoder repositories",
          "Two serving routes. A bundled FastAPI server on `POST /v1/systemone`, and the router's model runtime with an OpenAPI 3.0.3 contract and Prometheus metrics",
          "The model cards disclose evaluation protocol, including that the 0.3B release selection considered test results and that SQuAD v2 isn't zero-shot",
          "The router's release note lists where the 0.3B default is behind Vela 1.0, with numbers, and how to restore each Vela 1.0 model"
        ],
        "weaknesses": [
          "No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026",
          "Loading with `transformers` needs `trust_remote_code=True`, which runs Python from the model repository",
          "The router's `vllm-sr serve MODEL` engine mode is newer than the 0.4.0 stable release and needs the development channel",
          "By the authors' figures the 4B scores 31.63 on the Jev Decision Index 0.2.1 against 42.55 for its Decision 2.0 base",
          "The model runtime has no authentication, and the bundled server is open unless `VELA2_API_KEY` is set"
        ],
        "agentNotes": [
          "Pin a commit hash with `revision=` when loading from the Hub. The repositories have no tags and `main` has changed since launch",
          "Send the served name in `model`, for example `vllm-sr/Vela-2.0-4B`. The bundled server answers 422 to any other name",
          "Name span questions `pii`, `halu` or `toxic`, or set `\"head\": \"router\"`, to get the trained router head. Other labels go to the broad head",
          "Keep input under 16,384 tokens a sequence (8,192 on the 0.3B). The bundled server answers 413 when the questions alone don't fit",
          "Set `VELA2_API_KEY` before binding the bundled server beyond 127.0.0.1, and keep the model runtime on a trusted network"
        ],
        "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": 66.5
          }
        ],
        "editorialScores": {
          "ergonomics": 79,
          "maintenance": 84,
          "payments": 60,
          "reliability": 57,
          "schema": 78,
          "security": 60,
          "transparency": 68
        },
        "provenanceScore": 27
      },
      "connect": {
        "install": "pip install torch \"transformers\u003e=5.17\" safetensors tokenizers numpy fastapi uvicorn\n# from a local snapshot of vllm-sr/Vela-2.0-4B\npython vela2_serve.py --model . --device cuda --port 8001",
        "http": "curl -s localhost:8001/v1/systemone -H 'content-type: application/json' \\\n  -d '{\"model\":\"vllm-sr/Vela-2.0-4B\",\"state\":\"My card was charged twice and the parcel never arrived.\",\"questions\":{\"issues\":{\"type\":\"set\",\"instructions\":\"Which issues does the customer report?\",\"criteria\":{\"billing\":\"payments, charges, refunds or invoices\",\"shipping\":\"delivery of an order or a parcel\",\"login\":\"signing in, passwords or account access\"}}}}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/vela"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "",
        "domain": "vllm-sr.ai",
        "domainRegistered": "2026-07-13",
        "endpointOnVendorDomain": null,
        "terms": "",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://vllm-sr.ai/docs/release-notes/vela-2-0-built-in-signals",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "An open-source project with no company named as publisher. The site footer reads vLLM Semantic Router Team, and the model cards credit KR Labs and vLLM Semantic Router.",
          "RDAP gives 13 July 2026 as the registration date of vllm-sr.ai.",
          "Software the owner runs, so there's no hosted endpoint, terms or privacy policy. The Apache-2.0 licence stands in for terms.",
          "vllm-sr.ai/.well-known/security.txt returns 404. SECURITY.md in the repository takes private reports through GitHub Security Advisories.",
          "The weights are on huggingface.co under the vllm-sr organisation, and the code for the router and its model runtime is at github.com/vllm-project/semantic-router."
        ],
        "score": 27
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/vela.json",
      "live": {
        "slug": "vela",
        "versions": [
          {
            "registry": "github",
            "name": "vllm-project/semantic-router",
            "version": "v0.4.0",
            "released": "2026-09-27",
            "seenAt": "2026-10-08T16:33:55.54175052Z"
          },
          {
            "registry": "pypi",
            "name": "vllm-sr",
            "version": "0.4.0",
            "released": "2026-09-27",
            "seenAt": "2026-10-08T16:33:55.414998665Z"
          }
        ],
        "githubStars": 6055,
        "pypiWeekly": 16024,
        "securityTxt": {
          "url": "https://vllm-sr.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-08T15:38:46.503839021Z"
        },
        "pages": [
          {
            "url": "https://vllm-sr.ai/docs/release-notes/vela-2-0-built-in-signals",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:25:37.750304198Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "247e26c3549e"
          }
        ],
        "updatedAt": "2026-10-08T18:25:37.750304198Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Mark Marosi (Mapika)",
        "b": "vLLM Semantic Router project and KR Labs",
        "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 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "no",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-07",
        "b": "2026-10-06",
        "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": "6.1k stars",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Decider scores 69.5 (B) on agent readiness against Vela 2.0's 66.5 (B), and leads in 3 of 7 scored categories. Vela 2.0 leads on security \u0026 auth.",
        "question": "Which is better for AI agents, Decider or Vela 2.0?"
      },
      {
        "answer": "Neither needs a key.",
        "question": "Do Decider and Vela 2.0 need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for Decider. No hosted endpoint is listed for Vela 2.0.",
        "question": "Can an agent call Decider and Vela 2.0 without installing anything?"
      },
      {
        "answer": "Yes. Decider is open source (Apache-2.0 (code and weights)). Vela 2.0 is open source (Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences).",
        "question": "Are Decider and Vela 2.0 open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 90 against 57"
        ],
        "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, 60 against 38"
        ],
        "also": null,
        "goodFor": "Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.",
        "slug": "vela",
        "watchFor": "No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026"
      }
    ],
    "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-vela.json",
        "title": "Celeris-1 Decision vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela"
      },
      {
        "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-vela.json",
        "title": "Clef vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-vela"
      },
      {
        "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-vela.json",
        "title": "Laya vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-vela"
      },
      {
        "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-strands-decider.json",
        "title": "Decider vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/decider-vs-strands-decider"
      },
      {
        "json": "https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.json",
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        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.json",
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        "title": "Liquid d1 vs Vela 2.0",
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      {
        "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.json",
        "title": "OpenAI Decisions API vs Vela 2.0",
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        "title": "Strands Decider 2B vs Vela 2.0",
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    "scores": [
      {
        "by": 33,
        "decider": 90,
        "edge": "decider",
        "key": "reliability",
        "name": "Reliability",
        "vela": 57,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 0,
        "decider": 78,
        "edge": "",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "vela": 78,
        "weight": 13
      },
      {
        "by": 1,
        "decider": 80,
        "edge": "decider",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "vela": 79,
        "weight": 13
      },
      {
        "by": 22,
        "decider": 38,
        "edge": "vela",
        "key": "security",
        "name": "Security \u0026 auth",
        "vela": 60,
        "weight": 14
      },
      {
        "by": 0,
        "decider": 60,
        "edge": "",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "vela": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 3,
        "decider": 87,
        "edge": "decider",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "vela": 84,
        "weight": 7
      },
      {
        "by": 2,
        "decider": 46,
        "edge": "vela",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "vela": 48,
        "weight": 7
      }
    ],
    "summary": "Decider scores 69.5 (B) on agent readiness against Vela 2.0's 66.5 (B), and leads in 3 of 7 scored categories. Vela 2.0 leads on security \u0026 auth. 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.",
      "vela": "One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures."
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  "markdown": "Decider scores 69.5 (B) on agent readiness against Vela 2.0's 66.5 (B), and leads in 3 of 7 scored categories. Vela 2.0 leads on security \u0026 auth. 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- Vela 2.0: grade B, 66.5/100, rank #268 of 842. Markdown https://www.anchorterminal.com/tools/vela.md · JSON https://www.anchorterminal.com/api/v1/tools/vela.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 57\n\nWatch for: The local server has no authentication option. It binds to 127.0.0.1 since 1.7.1\n\n### Vela 2.0 (B)\n\nGood for: Self-hosted routing and guardrail checks in one call, where span offsets for personal data or unsupported claims matter.\n\nAhead on:\n- Security \u0026 auth, 60 against 38\n\nWatch for: No version tags on the four Hub repositories, and the 4B and 9B weights were replaced in place on 3 October 2026\n\n\n## Score by category\n\n| Category | Weight | Decider | Vela 2.0 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 90 | 57 | Decider +33 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 78 | 78 | even |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 79 | Decider +1 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 60 | Vela 2.0 +22 |\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 | 84 | Decider +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 46 | 48 | Vela 2.0 +2 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **69.5 · B** | **66.5 · B** | |\n\n## Facts side by side\n\n| Fact | Decider | Vela 2.0 |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Mark Marosi (Mapika) | vLLM Semantic Router project and KR Labs |\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 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-07 | 2026-10-06 |\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 | 6.1k stars |\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**Vela 2.0.** One self-hosted call answers routing, prompt-attack, personal-data and unsupported-claim questions with probabilities and character offsets, under Apache-2.0 with SHA-256 manifests. The models are days old and carry no Hub version tags, and the three larger sizes keep 74 to 89 per cent of their Decision 2.0 bases on the Jev Decision Index by the authors' figures.\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### Vela 2.0\n\n1. Pin a commit hash with `revision=` when loading from the Hub. The repositories have no tags and `main` has changed since launch\n2. Send the served name in `model`, for example `vllm-sr/Vela-2.0-4B`. The bundled server answers 422 to any other name\n3. Name span questions `pii`, `halu` or `toxic`, or set `\"head\": \"router\"`, to get the trained router head. Other labels go to the broad head\n4. Keep input under 16,384 tokens a sequence (8,192 on the 0.3B). The bundled server answers 413 when the questions alone don't fit\n5. Set `VELA2_API_KEY` before binding the bundled server beyond 127.0.0.1, and keep the model runtime on a trusted network\n\n## Questions\n\n### Which is better for AI agents, Decider or Vela 2.0?\n\nDecider scores 69.5 (B) on agent readiness against Vela 2.0's 66.5 (B), and leads in 3 of 7 scored categories. Vela 2.0 leads on security \u0026 auth.\n\n### Do Decider and Vela 2.0 need an API key?\n\nNeither needs a key.\n\n### Can an agent call Decider and Vela 2.0 without installing anything?\n\nNo hosted endpoint is listed for Decider. No hosted endpoint is listed for Vela 2.0.\n\n### Are Decider and Vela 2.0 open source?\n\nYes. Decider is open source (Apache-2.0 (code and weights)). Vela 2.0 is open source (Apache-2.0 (weights, code and documentation). The 0.3B's tokeniser keeps the Gemma Terms of Use, and training data keeps its own licences).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/decider-vs-vela.json, and with the fewest tokens: https://www.anchorterminal.com/compare/decider-vs-vela.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"decider\", \"b\": \"vela\"}`. From a terminal: `anchor compare decider vela`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/decider.json and https://www.anchorterminal.com/api/v1/tools/vela.json\n\n## Other comparisons with Decider or Vela 2.0\n\n- [Celeris-1 Decision vs Decider](https://www.anchorterminal.com/compare/celeris-1-decision-vs-decider.md)\n- [Celeris-1 Decision vs Vela 2.0](https://www.anchorterminal.com/compare/celeris-1-decision-vs-vela.md)\n- [Clef vs Decider](https://www.anchorterminal.com/compare/cloudflare-clef-vs-decider.md)\n- [Clef vs Vela 2.0](https://www.anchorterminal.com/compare/cloudflare-clef-vs-vela.md)\n- [Laya vs Decider](https://www.anchorterminal.com/compare/convai-laya-vs-decider.md)\n- [Laya vs Vela 2.0](https://www.anchorterminal.com/compare/convai-laya-vs-vela.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 Strands Decider 2B](https://www.anchorterminal.com/compare/decider-vs-strands-decider.md)\n- [Decider vs Jev](https://www.anchorterminal.com/compare/decider-vs-typesafe-jev.md)\n- [GLiClass vs Vela 2.0](https://www.anchorterminal.com/compare/gliclass-vs-vela.md)\n- [Kev vs Vela 2.0](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.md)\n- [Liquid d1 vs Vela 2.0](https://www.anchorterminal.com/compare/liquid-d1-vs-vela.md)\n- [OpenAI Decisions API vs Vela 2.0](https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.md)\n- [Strands Decider 2B vs Vela 2.0](https://www.anchorterminal.com/compare/strands-decider-vs-vela.md)\n- [Jev vs Vela 2.0](https://www.anchorterminal.com/compare/typesafe-jev-vs-vela.md)\n",
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    "description": "Decider scores 69.5 (B) on agent readiness against Vela 2.0's 66.5 (B), and leads in 3 of 7 scored categories. Vela 2.0 leads on security \u0026 auth. Both do inference decision. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Decider vs Vela 2.0 for AI agents, B 69.5 vs B 66.5 | Anchor Terminal",
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