{
  "data": {
    "a": {
      "slug": "openai-decisions-api",
      "name": "OpenAI Decisions API",
      "vendor": "OpenAI",
      "vendorUrl": "https://developers.openai.com",
      "kind": "model",
      "category": "decision-models",
      "summary": "The Decisions API is an OpenAI endpoint, in public beta since 6 October 2026, that reads text and images and returns typed answers with probabilities, a predicate, a choice from a fixed set or a rubric score.",
      "url": "https://www.anchorterminal.com/tools/openai-decisions-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/openai-decisions-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-decisions-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json",
      "repo": "https://github.com/openai/openai-python",
      "license": "Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.openai.com/v1/decisions",
      "packages": [
        {
          "registry": "pypi",
          "name": "openai"
        },
        {
          "registry": "npm",
          "name": "openai"
        }
      ],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` with an ordinary OpenAI project key, self-serve from the platform dashboard after sign-up. No waitlist or separate approval for the beta was found. Keys carry their own permissions under the access-control guide (https://developers.openai.com/api/docs/guides/rbac). We didn't confirm that a key can be restricted to `/v1/decisions` alone.",
      "pricing": "usage",
      "pricingNotes": "$0.10 per million input tokens on `gpt-6-luna`, with no output, cache-read or cache-write charge (https://developers.openai.com/api/docs/guides/decisions). Long-context input multipliers and regional processing premiums apply, which on GPT-6 Luna are 2x input over 272,000 tokens and 10 per cent. No sandbox. The rate-limits guide lists a Free tier capped at $100 a month, but GPT-6 Luna's limits start at the Build tier, reached with $5 of credit (https://developers.openai.com/api/docs/guides/rate-limits).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the Decisions guide, the API reference or the pricing page (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 31774,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://developers.openai.com/api/docs/guides/decisions",
      "llmsTxt": "https://developers.openai.com/llms.txt",
      "openapi": "https://github.com/openai/openai-openapi",
      "capabilities": [
        "inference.decision"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "closed-source",
        "openapi",
        "llms-txt",
        "python",
        "typescript",
        "go",
        "java",
        "usage-priced",
        "status-page",
        "beta"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 71.5,
        "grade": "BB",
        "agentReady": true,
        "rank": 102,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 1,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 87,
          "maintenance": 77,
          "payments": 30,
          "reliability": 53,
          "schema": 89,
          "security": 83,
          "transparency": 83
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "Typed predicate, choice and score answers with probabilities, up to 200 questions a call, at $0.10 per million input tokens with no output charge. It is a public beta released on 6 October 2026, with one model alias, no dated snapshot, no Batch route and no SLA found.",
        "bestFor": "High-volume yes or no checks, routing among fixed options and rubric scoring over text and images, for teams already on an OpenAI key.",
        "strengths": [
          "Three typed question kinds, predicate, choice and score, with per-option probabilities and up to 200 questions about one input in a call",
          "$0.10 per million input tokens on `gpt-6-luna`, with no output, cache-read or cache-write charge",
          "Text and up to 128 inline images in one request",
          "The official OpenAPI 3.1 document carries `POST /decisions` with typed limits, and five official SDKs support it",
          "Not used for training by default, eligible for Zero Data Retention and HIPAA use, per OpenAI's data-controls guide"
        ],
        "weaknesses": [
          "Public beta released on 6 October 2026. The guide expects general availability in the coming weeks and gives no date",
          "One model alias, `gpt-6-luna`, with no dated snapshot to pin",
          "Images must be inline base64 data URLs. Hosted image URLs and `file_id` inputs aren't accepted",
          "Not among the endpoints the Batch guide lists, and no SLA covering it was found",
          "No guidance on adversarial or injected content was found in the guide or the reference"
        ],
        "agentNotes": [
          "Put independent questions about one input in a single `questions` array. Send a separate request when a question depends on an earlier answer",
          "Check each answer's `type` before reading it. A question can come back as `refusal` while the others in the same request are answered",
          "Encode images as base64 data URLs. Hosted URLs and `file_id` inputs are rejected",
          "Give a `choice` question a fallback value such as `other`, and set thresholds from your own labelled examples",
          "Use Python SDK 3.26.0 or JavaScript 7.30.0 or later, and follow `Retry-After` on 429 and 503"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 71.5
          }
        ],
        "editorialScores": {
          "ergonomics": 87,
          "maintenance": 77,
          "payments": 30,
          "reliability": 53,
          "schema": 89,
          "security": 83,
          "transparency": 71
        },
        "provenanceScore": 94
      },
      "connect": {
        "install": "pip install openai   # or: npm i openai",
        "http": "curl https://api.openai.com/v1/decisions \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"gpt-6-luna\",\"input\":\"I was charged twice for my order.\",\"questions\":[{\"type\":\"choice\",\"name\":\"department\",\"instructions\":\"Which department should handle this complaint?\",\"choices\":[{\"value\":\"billing\",\"description\":\"Payments, invoices, and refunds.\"},{\"value\":\"technical\",\"description\":\"Problems using the product.\"},{\"value\":\"other\",\"description\":\"Requests outside these categories.\"}]}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.decision",
        "tool": "https://letme.dev/openai-decisions-api"
      },
      "sameCompany": [
        "openai-api",
        "openai-embeddings",
        "openai-moderation",
        "openai-image-api",
        "openai-sora",
        "openai-agents-sdk",
        "openai-codex"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "gpt-6-luna input on /v1/decisions",
          "unit": "1m-tokens",
          "usd": 0.1,
          "note": "No output, cache-read or cache-write charge"
        }
      ],
      "provenance": {
        "legalEntity": "OpenAI OpCo, LLC",
        "domain": "openai.com",
        "domainRegistered": "2007-01-19",
        "endpointOnVendorDomain": true,
        "terms": "https://openai.com/policies/services-agreement/",
        "privacy": "https://openai.com/policies/privacy-policy/",
        "statusPage": "https://status.openai.com",
        "changelog": "https://developers.openai.com/api/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-08",
        "notes": [
          "Same entity, terms and privacy policy as the OpenAI API listing. openai.com answered 403 to our reader on 8 October, so the legal entity and the two policy URLs stand per that listing's check of 26 September and weren't re-read.",
          "RDAP gives openai.com a registration date of 2007-01-19, before OpenAI existed.",
          "status.openai.com lists a Decisions component under APIs, read on 8 October.",
          "The changelog entry for the release is dated 6 October 2026.",
          "openai.com/.well-known/security.txt is PGP-signed and names a Bugcrowd contact and a disclosure policy. It has no Expires field, which RFC 9116 requires."
        ],
        "score": 94
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-decisions-api.json",
      "live": {
        "slug": "openai-decisions-api",
        "probe": {
          "target": "https://api.openai.com/v1/decisions",
          "method": "get",
          "lastAt": "2026-10-08T19:08:54.63911762Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 138,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 138,
          "p95ms24h": 180,
          "samples24h": 42,
          "samples30d": 42,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 42,
              "ok": 42
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.openai.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-08T19:06:47.372902691Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "openai/openai-python",
            "version": "v3.26.1",
            "released": "2026-10-08",
            "seenAt": "2026-10-08T16:23:39.461409891Z"
          },
          {
            "registry": "npm",
            "name": "openai",
            "version": "7.30.1",
            "seenAt": "2026-10-08T16:23:39.419090152Z"
          },
          {
            "registry": "pypi",
            "name": "openai",
            "version": "3.26.1",
            "released": "2026-10-08",
            "seenAt": "2026-10-08T16:23:39.293419418Z"
          }
        ],
        "githubStars": 31777,
        "npmWeekly": 50858207,
        "pypiWeekly": 74231726,
        "securityTxt": {
          "url": "https://openai.com/.well-known/security.txt",
          "state": "valid",
          "checkedAt": "2026-10-08T15:38:50.073851341Z"
        },
        "updatedAt": "2026-10-08T19:08:54.63911762Z"
      }
    },
    "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Vela 2.0's 66.5 (B), and leads in 4 of 7 scored categories. Vela 2.0 leads on payments \u0026 pricing and maintenance \u0026 community.",
    "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": 219,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 4,
        "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": "OpenAI",
        "b": "vLLM Semantic Router project and KR Labs",
        "name": "Vendor"
      },
      {
        "a": "https://api.openai.com/v1/decisions",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "None",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Free",
        "name": "Pricing"
      },
      {
        "a": "$0.10 per 1M tokens",
        "b": "free",
        "name": "Price for inference decision"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0",
        "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": "yes",
        "b": "no",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-06",
        "b": "2026-10-06",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "no document linked",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "no document linked",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "32k stars",
        "b": "6.1k stars",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Vela 2.0's 66.5 (B), and leads in 4 of 7 scored categories. Vela 2.0 leads on payments \u0026 pricing and maintenance \u0026 community.",
        "question": "Which is better for AI agents, OpenAI Decisions API or Vela 2.0?"
      },
      {
        "answer": "Vela 2.0, at free against $0.10 per 1M tokens for OpenAI Decisions API. These are the vendors' published prices for the job.",
        "question": "Which is cheaper for inference decision, OpenAI Decisions API or Vela 2.0?"
      },
      {
        "answer": "OpenAI Decisions API needs an API key. Vela 2.0 needs no key.",
        "question": "Do OpenAI Decisions API and Vela 2.0 need an API key?"
      },
      {
        "answer": "OpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions. No hosted endpoint is listed for Vela 2.0.",
        "question": "Can an agent call OpenAI Decisions API and Vela 2.0 without installing anything?"
      },
      {
        "answer": "No open-source release is listed for OpenAI Decisions API. 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 OpenAI Decisions API and Vela 2.0 open source?"
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    ],
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        "aheadOn": [
          "Schema \u0026 documentation, 89 against 78",
          "Agent ergonomics, 87 against 79",
          "Security \u0026 auth, 83 against 60",
          "Transparency \u0026 trust, 83 against 48"
        ],
        "also": [
          "Agent-ready, a grade of BB or better",
          "A hosted endpoint, with nothing to install"
        ],
        "goodFor": "High-volume yes or no checks, routing among fixed options and rubric scoring over text and images, for teams already on an OpenAI key.",
        "slug": "openai-decisions-api",
        "watchFor": "Public beta released on 6 October 2026. The guide expects general availability in the coming weeks and gives no date"
      },
      {
        "aheadOn": [
          "Payments \u0026 pricing, 60 against 30",
          "Maintenance \u0026 community, 84 against 77"
        ],
        "also": [
          "No key needed to call it",
          "Open source"
        ],
        "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"
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      {
        "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-openai-decisions-api.json",
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        "url": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api"
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      {
        "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/jaredpalmer-kev-vs-openai-decisions-api.json",
        "title": "Kev vs OpenAI Decisions API",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.json",
        "title": "Kev vs Vela 2.0",
        "url": "https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela"
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        "json": "https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.json",
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        "title": "OpenAI Decisions API vs Strands Decider 2B",
        "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider"
      },
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        "by": 4,
        "edge": "vela",
        "key": "reliability",
        "name": "Reliability",
        "openai-decisions-api": 53,
        "vela": 57,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 11,
        "edge": "openai-decisions-api",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "openai-decisions-api": 89,
        "vela": 78,
        "weight": 13
      },
      {
        "by": 8,
        "edge": "openai-decisions-api",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "openai-decisions-api": 87,
        "vela": 79,
        "weight": 13
      },
      {
        "by": 23,
        "edge": "openai-decisions-api",
        "key": "security",
        "name": "Security \u0026 auth",
        "openai-decisions-api": 83,
        "vela": 60,
        "weight": 14
      },
      {
        "by": 30,
        "edge": "vela",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "openai-decisions-api": 30,
        "vela": 60,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 7,
        "edge": "vela",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "openai-decisions-api": 77,
        "vela": 84,
        "weight": 7
      },
      {
        "by": 35,
        "edge": "openai-decisions-api",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "openai-decisions-api": 83,
        "vela": 48,
        "weight": 7
      }
    ],
    "summary": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Vela 2.0's 66.5 (B), and leads in 4 of 7 scored categories. Vela 2.0 leads on payments \u0026 pricing and maintenance \u0026 community. Both do inference decision.",
    "verdicts": {
      "openai-decisions-api": "Typed predicate, choice and score answers with probabilities, up to 200 questions a call, at $0.10 per million input tokens with no output charge. It is a public beta released on 6 October 2026, with one model alias, no dated snapshot, no Batch route and no SLA found.",
      "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": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against Vela 2.0's 66.5 (B), and leads in 4 of 7 scored categories. Vela 2.0 leads on payments \u0026 pricing and maintenance \u0026 community. Both do inference decision.\n\n- OpenAI Decisions API: grade BB, 71.5/100, rank #102 of 629. Markdown https://www.anchorterminal.com/tools/openai-decisions-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json\n- Vela 2.0: grade B, 66.5/100, rank #219 of 629. 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### OpenAI Decisions API (BB)\n\nGood for: High-volume yes or no checks, routing among fixed options and rubric scoring over text and images, for teams already on an OpenAI key.\n\nAhead on:\n- Schema \u0026 documentation, 89 against 78\n- Agent ergonomics, 87 against 79\n- Security \u0026 auth, 83 against 60\n- Transparency \u0026 trust, 83 against 48\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- A hosted endpoint, with nothing to install\n\nWatch for: Public beta released on 6 October 2026. The guide expects general availability in the coming weeks and gives no date\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- Payments \u0026 pricing, 60 against 30\n- Maintenance \u0026 community, 84 against 77\n\nAlso in its favour:\n- No key needed to call it\n- Open source\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 | OpenAI Decisions API | Vela 2.0 | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 53 | 57 | Vela 2.0 +4 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 89 | 78 | OpenAI Decisions API +11 |\n| Agent ergonomics | 13% (16.2 this run) | 87 | 79 | OpenAI Decisions API +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 83 | 60 | OpenAI Decisions API +23 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 60 | Vela 2.0 +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 77 | 84 | Vela 2.0 +7 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 83 | 48 | OpenAI Decisions API +35 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **71.5 · BB** | **66.5 · B** | |\n\n## Facts side by side\n\n| Fact | OpenAI Decisions API | Vela 2.0 |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | OpenAI | vLLM Semantic Router project and KR Labs |\n| Hosted endpoint | `https://api.openai.com/v1/decisions` | no (local only) |\n| Transports | HTTP | HTTP |\n| Auth | API key | None |\n| Pricing | Pay per use | Free |\n| Price for inference decision | $0.10 per 1M tokens | free |\n| x402 | no | no |\n| Licence | Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0 | 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 | yes | no |\n| Last release | 2026-10-06 | 2026-10-06 |\n| Terms last updated | couldn't be read | no document linked |\n| Privacy policy last updated | couldn't be read | no document linked |\n| Customer content may train models | couldn't be read |  |\n| Terms restrict automated access | couldn't be read |  |\n| Terms restrict benchmarking | couldn't be read |  |\n| Terms or service can change without notice | couldn't be read |  |\n| Arbitration or class-action waiver | couldn't be read |  |\n| Popularity | 32k stars | 6.1k stars |\n\n## Verdicts\n\n**OpenAI Decisions API.** Typed predicate, choice and score answers with probabilities, up to 200 questions a call, at $0.10 per million input tokens with no output charge. It is a public beta released on 6 October 2026, with one model alias, no dated snapshot, no Batch route and no SLA found.\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### OpenAI Decisions API\n\n1. Put independent questions about one input in a single `questions` array. Send a separate request when a question depends on an earlier answer\n2. Check each answer's `type` before reading it. A question can come back as `refusal` while the others in the same request are answered\n3. Encode images as base64 data URLs. Hosted URLs and `file_id` inputs are rejected\n4. Give a `choice` question a fallback value such as `other`, and set thresholds from your own labelled examples\n5. Use Python SDK 3.26.0 or JavaScript 7.30.0 or later, and follow `Retry-After` on 429 and 503\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, OpenAI Decisions API or Vela 2.0?\n\nOpenAI Decisions API scores 71.5 (BB) on agent readiness against Vela 2.0's 66.5 (B), and leads in 4 of 7 scored categories. Vela 2.0 leads on payments \u0026 pricing and maintenance \u0026 community.\n\n### Which is cheaper for inference decision, OpenAI Decisions API or Vela 2.0?\n\nVela 2.0, at free against $0.10 per 1M tokens for OpenAI Decisions API. These are the vendors' published prices for the job.\n\n### Do OpenAI Decisions API and Vela 2.0 need an API key?\n\nOpenAI Decisions API needs an API key. Vela 2.0 needs no key.\n\n### Can an agent call OpenAI Decisions API and Vela 2.0 without installing anything?\n\nOpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions. No hosted endpoint is listed for Vela 2.0.\n\n### Are OpenAI Decisions API and Vela 2.0 open source?\n\nNo open-source release is listed for OpenAI Decisions API. 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/openai-decisions-api-vs-vela.json, and with the fewest tokens: https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"openai-decisions-api\", \"b\": \"vela\"}`. From a terminal: `anchor compare openai-decisions-api vela`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json and https://www.anchorterminal.com/api/v1/tools/vela.json\n\n## Other comparisons with OpenAI Decisions API or Vela 2.0\n\n- [Clef vs OpenAI Decisions API](https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api.md)\n- [Clef vs Vela 2.0](https://www.anchorterminal.com/compare/cloudflare-clef-vs-vela.md)\n- [Laya vs OpenAI Decisions API](https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.md)\n- [Laya vs Vela 2.0](https://www.anchorterminal.com/compare/convai-laya-vs-vela.md)\n- [Kev vs OpenAI Decisions API](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.md)\n- [Kev vs Vela 2.0](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-vela.md)\n- [Liquid d1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.md)\n- [Liquid d1 vs Vela 2.0](https://www.anchorterminal.com/compare/liquid-d1-vs-vela.md)\n- [OpenAI Decisions API vs Strands Decider 2B](https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.md)\n- [OpenAI Decisions API vs Jev](https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.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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