{ "data": { "a": { "slug": "gliclass", "name": "GLiClass", "vendor": "Knowledgator", "vendorUrl": "https://www.knowledgator.com", "kind": "model", "category": "decision-models", "summary": "GLiClass is an open-source Python library and family of open-weight zero-shot text classifiers from Knowledgator. It scores every candidate label in one forward pass and runs locally through a pipeline or a Ray Serve endpoint.", "url": "https://www.anchorterminal.com/tools/gliclass", "markdownUrl": "https://www.anchorterminal.com/tools/gliclass.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gliclass.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gliclass.json", "repo": "https://github.com/Knowledgator/GLiClass", "license": "Apache-2.0 (library and the model weights we checked)", "transports": [ "http" ], "packages": [ { "registry": "pypi", "name": "gliclass" } ], "auth": "none", "authNotes": "No account or key. The weights are public and ungated on Hugging Face. The bundled Ray Serve deployment has no authentication of any kind, and `python -m gliclass.serve` binds to 0.0.0.0 unless `--host` is passed, so the owner has to restrict the port.", "pricing": "free", "pricingNotes": "Free and open source, with nothing to buy for the library or the weights. Hardware is the owner's cost. Knowledgator's site links a hosted platform with plans at platform.knowledgator.com, which we couldn't reach on 8 October 2026, so whether it serves GLiClass and at what price is unchecked.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402. GLiClass is software the owner runs, and its server has no payment route (checked 2026-10-08).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 555, "npmWeekly": null, "pypiWeekly": 13204, "asOf": "2026-10-08" }, "docsUrl": "https://docs.knowledgator.com/docs/frameworks/gliclass/", "capabilities": [ "inference.decision" ], "tags": [ "model", "open-source", "open-weights", "self-hosted", "local", "free", "python", "no-auth" ], "lastRelease": "2026-07-21", "graded": true, "anchor": { "graded": true, "score": 49.9, "grade": "D", "agentReady": false, "rank": 697, "ranked": true, "rankOf": 842, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 60, "maintenance": 44, "payments": 60, "reliability": 43, "schema": 49, "security": 38, "transparency": 64 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "An Apache-2.0 classifier that scores a whole label set in one encoder pass on the owner's hardware, with single-label, multi-label, hierarchical and few-shot modes. It returns label scores with no calibration claim, the bundled server has no authentication, and the last three test runs on the main branch, on 24 September 2026, failed.", "bestFor": "Topic, intent and sentiment routing over a known label set on the owner's own CPU or GPU, where many labels must be scored at once.", "strengths": [ "Apache-2.0 code and weights, with `train.py`, the training datasets named on the model cards and an arXiv paper (2508.07662)", "One forward pass scores every label. The base v3.0 card reports 51.6 examples a second averaged over 1 to 128 labels on an A6000 (vendor figures)", "Single-label (softmax) and multi-label (sigmoid) modes, hierarchical label sets, task prompts and few-shot examples in one pipeline call", "A Ray Serve deployment with dynamic batching ships in the `gliclass[serve]` extra, with a documented request table for `POST /gliclass`", "31 public, ungated GLiClass checkpoints on Hugging Face, from 32.7M to 439M parameters, as safetensors" ], "weaknesses": [ "No calibration evidence. The cards report F1 only, and the docs tell users to calibrate thresholds on their own traffic", "The bundled server has no authentication, and `python -m gliclass.serve` binds to 0.0.0.0 by default", "The last three runs of the Tests workflow on main, all on 24 September 2026, failed", "Still 0.1.x with no changelog file. 0.1.18 raised the `transformers` floor to 5.0, and issue #44 on v5 loading has been open since 6 July 2026", "No OpenAPI file, no llms.txt, no SECURITY.md and no documented error responses" ], "agentNotes": [ "Pass `--host 127.0.0.1` to `python -m gliclass.serve`, or put the port behind your own gateway. The server checks no credential", "On a machine without a GPU add `--device cpu --dtype float32 --num-gpus-per-replica 0`. The default configuration expects CUDA", "Send one text a request to `POST /gliclass`. An array in `texts` is cut to its first item without an error", "Set `multi_label` to false for one label from a set. The default scores each label independently, so scores do not sum to 1", "Keep text plus labels under the pipeline's 1,024-token `max_length`, or use `ZeroShotClassificationWithChunkingPipeline`. Longer input is truncated silently" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 49.9 } ], "editorialScores": { "ergonomics": 60, "maintenance": 44, "payments": 60, "reliability": 43, "schema": 49, "security": 38, "transparency": 60 }, "provenanceScore": 68 }, "connect": { "install": "pip install gliclass", "http": "pip install \"gliclass[serve]\"\npython -m gliclass.serve --model knowledgator/gliclass-edge-v3.0 --port 8000\ncurl -X POST http://localhost:8000/gliclass \\\n -H \"Content-Type: application/json\" \\\n -d '{\"text\": \"This is a great product.\", \"labels\": [\"positive\", \"negative\", \"neutral\"], \"threshold\": 0.3, \"multi_label\": true}'" }, "letme": { "capability": "https://letme.dev/inference.decision", "tool": "https://letme.dev/gliclass" }, "area": "models", "provenance": { "legalEntity": "Knowledgator Engineering Ltd.", "domain": "knowledgator.com", "domainRegistered": "2021-06-25", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/Knowledgator/GLiClass/releases", "securityTxt": "none", "checked": "2026-10-08", "notes": [ "The terms of use and privacy policy linked from knowledgator.com name Knowledgator Engineering Ltd., London, United Kingdom. Both are dated 21 September 2023.", "Those two documents govern the website and Knowledgator's hosted services, not the library, so `terms` and `privacy` are left out. The Apache-2.0 licence governs what an agent would run.", "Software the owner runs, so there is no hosted endpoint and no status page for it.", "www.knowledgator.com/.well-known/security.txt returns 404, and the repository has no SECURITY.md.", "RDAP for knowledgator.com gives a registration date of 2021-06-25.", "The code is on github.com under the Knowledgator organisation and the weights on huggingface.co under knowledgator." ], "score": 68 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gliclass.json" }, "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing.", "b": { "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": 119, "ranked": true, "rankOf": 842, "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-guardrails", "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": "2026-10-09T11:46:36.099577111Z", "lastOk": true, "lastStatus": 404, "lastMs": 136, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 138, "p95ms24h": 183, "samples24h": 218, "samples30d": 218, "days": [ { "date": "2026-10-08", "probes": 93, "ok": 93 }, { "date": "2026-10-09", "probes": 125, "ok": 125 } ] }, "vendorStatus": { "page": "https://status.openai.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T11:40:05.895094428Z" }, "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": "2026-10-09T11:46:36.099577111Z" } }, "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Knowledgator", "b": "OpenAI", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.openai.com/v1/decisions", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "None", "b": "API key", "name": "Auth" }, { "a": "Free", "b": "Pay per use", "name": "Pricing" }, { "a": "free", "b": "$0.10 per 1M tokens", "name": "Price for inference decision" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (library and the model weights we checked)", "b": "Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-07-21", "b": "2026-10-06", "name": "Last release" }, { "a": "no document linked", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "no document linked", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "555 stars, 13k PyPI/wk", "b": "32k stars", "name": "Popularity" } ], "faq": [ { "answer": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing.", "question": "Which is better for AI agents, GLiClass or OpenAI Decisions API?" }, { "answer": "GLiClass, 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, GLiClass or OpenAI Decisions API?" }, { "answer": "GLiClass needs no key. OpenAI Decisions API needs an API key.", "question": "Do GLiClass and OpenAI Decisions API need an API key?" }, { "answer": "No hosted endpoint is listed for GLiClass. OpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions.", "question": "Can an agent call GLiClass and OpenAI Decisions API without installing anything?" }, { "answer": "GLiClass is open source (Apache-2.0 (library and the model weights we checked)). No open-source release is listed for OpenAI Decisions API.", "question": "Are GLiClass and OpenAI Decisions API open source?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 60 against 30" ], "also": [ "No key needed to call it", "Open source" ], "goodFor": "Topic, intent and sentiment routing over a known label set on the owner's own CPU or GPU, where many labels must be scored at once.", "slug": "gliclass", "watchFor": "No calibration evidence. The cards report F1 only, and the docs tell users to calibrate thresholds on their own traffic" }, { "aheadOn": [ "Reliability, 53 against 43", "Schema \u0026 documentation, 89 against 49", "Agent ergonomics, 87 against 60", "Security \u0026 auth, 83 against 38", "Maintenance \u0026 community, 77 against 44", "Transparency \u0026 trust, 83 against 64" ], "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" } ], "job": { "capability": "inference.decision", "name": "Inference decision" }, "others": [ { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.json", "title": "Celeris-1 Decision vs GLiClass", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass" }, { "json": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-openai-decisions-api.json", "title": "Celeris-1 Decision vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/celeris-1-decision-vs-openai-decisions-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass.json", "title": "Clef vs GLiClass", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api.json", "title": "Clef vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.json", "title": "Laya vs GLiClass", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-gliclass" }, { "json": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.json", "title": "Laya vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api" }, { "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-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/gliclass-vs-jaredpalmer-kev.json", "title": "GLiClass vs Kev", "url": "https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.json", "title": "GLiClass vs Liquid d1", "url": "https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1" }, { "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/gliclass-vs-typesafe-jev.json", "title": "GLiClass vs Jev", "url": "https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/gliclass-vs-vela.json", "title": "GLiClass vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/gliclass-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/liquid-d1-vs-openai-decisions-api.json", "title": "Liquid d1 vs OpenAI Decisions API", "url": "https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider.json", "title": "OpenAI Decisions API vs Strands Decider 2B", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-strands-decider" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev.json", "title": "OpenAI Decisions API vs Jev", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-typesafe-jev" }, { "json": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.json", "title": "OpenAI Decisions API vs Vela 2.0", "url": "https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela" } ], "scores": [ { "by": 10, "edge": "openai-decisions-api", "gliclass": 43, "key": "reliability", "name": "Reliability", "openai-decisions-api": 53, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 40, "edge": "openai-decisions-api", "gliclass": 49, "key": "schema", "name": "Schema \u0026 documentation", "openai-decisions-api": 89, "weight": 13 }, { "by": 27, "edge": "openai-decisions-api", "gliclass": 60, "key": "ergonomics", "name": "Agent ergonomics", "openai-decisions-api": 87, "weight": 13 }, { "by": 45, "edge": "openai-decisions-api", "gliclass": 38, "key": "security", "name": "Security \u0026 auth", "openai-decisions-api": 83, "weight": 14 }, { "by": 30, "edge": "gliclass", "gliclass": 60, "key": "payments", "name": "Payments \u0026 pricing", "openai-decisions-api": 30, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 33, "edge": "openai-decisions-api", "gliclass": 44, "key": "maintenance", "name": "Maintenance \u0026 community", "openai-decisions-api": 77, "weight": 7 }, { "by": 19, "edge": "openai-decisions-api", "gliclass": 64, "key": "transparency", "name": "Transparency \u0026 trust", "openai-decisions-api": 83, "weight": 7 } ], "summary": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing. Both do inference decision.", "verdicts": { "gliclass": "An Apache-2.0 classifier that scores a whole label set in one encoder pass on the owner's hardware, with single-label, multi-label, hierarchical and few-shot modes. It returns label scores with no calibration claim, the bundled server has no authentication, and the last three test runs on the main branch, on 24 September 2026, failed.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api", "json": "https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.md", "slim": "https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.min.md" }, "markdown": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing. Both do inference decision.\n\n- GLiClass: grade D, 49.9/100, rank #697 of 842. Markdown https://www.anchorterminal.com/tools/gliclass.md · JSON https://www.anchorterminal.com/api/v1/tools/gliclass.json\n- OpenAI Decisions API: grade BB, 71.5/100, rank #119 of 842. Markdown https://www.anchorterminal.com/tools/openai-decisions-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json\n\n## Which one, for what\n\n### GLiClass (D)\n\nGood for: Topic, intent and sentiment routing over a known label set on the owner's own CPU or GPU, where many labels must be scored at once.\n\nAhead on:\n- Payments \u0026 pricing, 60 against 30\n\nAlso in its favour:\n- No key needed to call it\n- Open source\n\nWatch for: No calibration evidence. The cards report F1 only, and the docs tell users to calibrate thresholds on their own traffic\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- Reliability, 53 against 43\n- Schema \u0026 documentation, 89 against 49\n- Agent ergonomics, 87 against 60\n- Security \u0026 auth, 83 against 38\n- Maintenance \u0026 community, 77 against 44\n- Transparency \u0026 trust, 83 against 64\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\n## Score by category\n\n| Category | Weight | GLiClass | OpenAI Decisions API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 43 | 53 | OpenAI Decisions API +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 49 | 89 | OpenAI Decisions API +40 |\n| Agent ergonomics | 13% (16.2 this run) | 60 | 87 | OpenAI Decisions API +27 |\n| Security \u0026 auth | 14% (17.5 this run) | 38 | 83 | OpenAI Decisions API +45 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | GLiClass +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 44 | 77 | OpenAI Decisions API +33 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 64 | 83 | OpenAI Decisions API +19 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **49.9 · D** | **71.5 · BB** | |\n\n## Facts side by side\n\n| Fact | GLiClass | OpenAI Decisions API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Knowledgator | OpenAI |\n| Hosted endpoint | no (local only) | `https://api.openai.com/v1/decisions` |\n| Transports | HTTP | HTTP |\n| Auth | None | API key |\n| Pricing | Free | Pay per use |\n| Price for inference decision | free | $0.10 per 1M tokens |\n| x402 | no | no |\n| Licence | Apache-2.0 (library and the model weights we checked) | Proprietary service under OpenAI's services agreement. The official SDKs are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-07-21 | 2026-10-06 |\n| Terms last updated | no document linked | couldn't be read |\n| Privacy policy last updated | no document linked | couldn't be read |\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 | 555 stars, 13k PyPI/wk | 32k stars |\n\n## Verdicts\n\n**GLiClass.** An Apache-2.0 classifier that scores a whole label set in one encoder pass on the owner's hardware, with single-label, multi-label, hierarchical and few-shot modes. It returns label scores with no calibration claim, the bundled server has no authentication, and the last three test runs on the main branch, on 24 September 2026, failed.\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## Before you call either\n\n### GLiClass\n\n1. Pass `--host 127.0.0.1` to `python -m gliclass.serve`, or put the port behind your own gateway. The server checks no credential\n2. On a machine without a GPU add `--device cpu --dtype float32 --num-gpus-per-replica 0`. The default configuration expects CUDA\n3. Send one text a request to `POST /gliclass`. An array in `texts` is cut to its first item without an error\n4. Set `multi_label` to false for one label from a set. The default scores each label independently, so scores do not sum to 1\n5. Keep text plus labels under the pipeline's 1,024-token `max_length`, or use `ZeroShotClassificationWithChunkingPipeline`. Longer input is truncated silently\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## Questions\n\n### Which is better for AI agents, GLiClass or OpenAI Decisions API?\n\nOpenAI Decisions API scores 71.5 (BB) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing.\n\n### Which is cheaper for inference decision, GLiClass or OpenAI Decisions API?\n\nGLiClass, at free against $0.10 per 1M tokens for OpenAI Decisions API. These are the vendors' published prices for the job.\n\n### Do GLiClass and OpenAI Decisions API need an API key?\n\nGLiClass needs no key. OpenAI Decisions API needs an API key.\n\n### Can an agent call GLiClass and OpenAI Decisions API without installing anything?\n\nNo hosted endpoint is listed for GLiClass. OpenAI Decisions API has a hosted endpoint at https://api.openai.com/v1/decisions.\n\n### Are GLiClass and OpenAI Decisions API open source?\n\nGLiClass is open source (Apache-2.0 (library and the model weights we checked)). No open-source release is listed for OpenAI Decisions API.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gliclass\", \"b\": \"openai-decisions-api\"}`. From a terminal: `anchor compare gliclass openai-decisions-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gliclass.json and https://www.anchorterminal.com/api/v1/tools/openai-decisions-api.json\n\n## Other comparisons with GLiClass or OpenAI Decisions API\n\n- [Celeris-1 Decision vs GLiClass](https://www.anchorterminal.com/compare/celeris-1-decision-vs-gliclass.md)\n- [Celeris-1 Decision vs OpenAI Decisions API](https://www.anchorterminal.com/compare/celeris-1-decision-vs-openai-decisions-api.md)\n- [Clef vs GLiClass](https://www.anchorterminal.com/compare/cloudflare-clef-vs-gliclass.md)\n- [Clef vs OpenAI Decisions API](https://www.anchorterminal.com/compare/cloudflare-clef-vs-openai-decisions-api.md)\n- [Laya vs GLiClass](https://www.anchorterminal.com/compare/convai-laya-vs-gliclass.md)\n- [Laya vs OpenAI Decisions API](https://www.anchorterminal.com/compare/convai-laya-vs-openai-decisions-api.md)\n- [Decider vs GLiClass](https://www.anchorterminal.com/compare/decider-vs-gliclass.md)\n- [Decider vs OpenAI Decisions API](https://www.anchorterminal.com/compare/decider-vs-openai-decisions-api.md)\n- [GLiClass vs Kev](https://www.anchorterminal.com/compare/gliclass-vs-jaredpalmer-kev.md)\n- [GLiClass vs Liquid d1](https://www.anchorterminal.com/compare/gliclass-vs-liquid-d1.md)\n- [GLiClass vs Strands Decider 2B](https://www.anchorterminal.com/compare/gliclass-vs-strands-decider.md)\n- [GLiClass vs Jev](https://www.anchorterminal.com/compare/gliclass-vs-typesafe-jev.md)\n- [GLiClass vs Vela 2.0](https://www.anchorterminal.com/compare/gliclass-vs-vela.md)\n- [Kev vs OpenAI Decisions API](https://www.anchorterminal.com/compare/jaredpalmer-kev-vs-openai-decisions-api.md)\n- [Liquid d1 vs OpenAI Decisions API](https://www.anchorterminal.com/compare/liquid-d1-vs-openai-decisions-api.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- [OpenAI Decisions API vs Vela 2.0](https://www.anchorterminal.com/compare/openai-decisions-api-vs-vela.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "GLiClass vs OpenAI Decisions API", "url": "" } ], "description": "OpenAI Decisions API scores 71.5 (BB) on agent readiness against GLiClass's 49.9 (D), and leads in 6 of 7 scored categories. GLiClass leads on payments \u0026 pricing. Both do inference decision. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "GLiClass D 49.9", "OpenAI Decisions API BB 71.5", "scores" ], "h1": "GLiClass vs OpenAI Decisions API", "image": "https://www.anchorterminal.com/assets/og/compare-gliclass-vs-openai-decisions-api.png", "path": "/compare/gliclass-vs-openai-decisions-api", "published": "2026-10-01", "section": "tools", "title": "GLiClass vs OpenAI Decisions API for AI agents, D 49.9 vs BB 71.5", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/gliclass-vs-openai-decisions-api" }, "tokens": { "markdown": 2450, "slim": 730 }, "version": 1 }