{
  "data": {
    "a": {
      "slug": "openai-api",
      "name": "OpenAI API",
      "vendor": "OpenAI",
      "vendorUrl": "https://developers.openai.com",
      "kind": "model",
      "category": "inference",
      "summary": "OpenAI's API for accessing its models through Responses, Chat Completions and Batch endpoints.",
      "url": "https://www.anchorterminal.com/tools/openai-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/openai-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openai-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openai-api.json",
      "repo": "https://github.com/openai/openai-python",
      "license": "Apache-2.0 (SDKs)",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.openai.com/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "openai"
        },
        {
          "registry": "npm",
          "name": "openai"
        }
      ],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` with a project key. Some models and tools need business or ID verification first.",
      "pricing": "usage",
      "pricingNotes": "Prepaid credit, with tier 1 reached at $5 paid. Long context over 272K tokens costs 2x input and 1.5x output. Cache reads 0.1x input (0.05x on GPT-6.1 Sol), cache writes 1.25x from GPT-5.6 on. Batch and Flex half price, Fast mode 2x, Ultrafast 6x (GPT-6 Astra only). Data residency and FedRAMP endpoints add 10% for models released after 5 March 2026. Web search $10 per 1,000 calls plus search content tokens, file search $2.50 per 1,000, hosted containers from $0.03 per 20-minute session (https://developers.openai.com/api/docs/pricing).",
      "priceSummary": "from $0.10 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. Access needs an account with prepaid credit.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 31300,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://developers.openai.com/api/docs",
      "rateLimitsUrl": "https://developers.openai.com/api/docs/guides/rate-limits",
      "llmsTxt": "https://developers.openai.com/llms.txt",
      "openapi": "https://github.com/openai/openai-openapi",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "card-required",
        "openapi",
        "llms-txt"
      ],
      "lastRelease": "2026-10-05",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 83.3,
        "grade": "A",
        "agentReady": true,
        "rank": 4,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 1,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 98,
          "maintenance": 91,
          "payments": 30,
          "reliability": 70,
          "schema": 100,
          "security": 100,
          "transparency": 90
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-05"
        },
        "negative": 0,
        "verdict": "Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026.",
        "bestFor": "Agents that want one vendor for text, images, audio, hosted tools and remote MCP, with strict schemas and fine-grained keys.",
        "strengths": [
          "Official OpenAPI document and an llms.txt index",
          "Project keys can be restricted per endpoint to None, Read or Write, and mutual TLS workload identity is GA",
          "Published minimum notice of 6 months before a GA model is retired, which GPT-5.1 and GPT-5.3-Codex got on 1 October",
          "GPT-6 Luna at $0.10/$0.50 per million tokens with the same 1.05M context as Astra",
          "Scale Tier comes with a 99.9% uptime SLA"
        ],
        "weaknesses": [
          "Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026",
          "Heavy migration calendar. Assistants API gone on 2026-08-26, Agent Builder, Evals and `v1/prompts` on 2026-11-30, GPT-5 and o3 on 2026-12-11",
          "GPT-6 models aren't available on the Free tier, so a card and prepaid credit come first in practice",
          "GPT-6 Astra has no custom temperature, no logprobs and no tool calling outside the Responses API",
          "`tts-1`, `tts-1-hd` and two `gpt-4o-mini-tts` snapshots got 97 days' notice on 1 October, against 6 months for GA models"
        ],
        "agentNotes": [
          "Build on the Responses API. Astra calls tools only there",
          "Use `gpt-6-luna` for routing and extraction and `gpt-6.1-sol` for most work. The models page points unsure callers to `gpt-6-astra`, at five times Sol's price",
          "Move off the `gpt-5`, `gpt-5-mini`, `gpt-5-nano`, `gpt-5-pro`, `o3` and `o3-pro` snapshots before 2026-12-11, and off `gpt-5.1`, `gpt-5.3-codex` and `gpt-5.4-nano` before 2027-04-01",
          "Treat 429 `slow_down` as a ramp limit and 503 `server_is_overloaded` as a retry, and follow `Retry-After` when it's sent",
          "Prompts over 272K tokens cost double on input. Trim before you pay for it"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 8,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "A",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 83.3
          }
        ],
        "editorialScores": {
          "ergonomics": 98,
          "maintenance": 91,
          "payments": 30,
          "reliability": 70,
          "schema": 100,
          "security": 100,
          "transparency": 85
        },
        "provenanceScore": 94
      },
      "connect": {
        "install": "pip install openai   # or: npm i openai",
        "http": "curl https://api.openai.com/v1/responses \\\n  -H \"Authorization: Bearer $OPENAI_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"gpt-6.1-sol\",\"input\":\"hello\"}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/openai-api"
      },
      "sameCompany": [
        "openai-embeddings",
        "openai-moderation",
        "openai-image-api",
        "openai-sora",
        "openai-agents-sdk",
        "openai-decisions-api",
        "openai-codex"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Web search tool",
          "unit": "1k-requests",
          "usd": 10
        },
        {
          "item": "File search tool",
          "unit": "1k-requests",
          "usd": 2.5
        }
      ],
      "provenance": {
        "legalEntity": "OpenAI OpCo, LLC",
        "domain": "openai.com",
        "domainRegistered": "2007-01-19",
        "domainNote": "openai.com was registered in 2007, before OpenAI existed.",
        "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": "2026-09-26",
        "score": 94
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/openai-api.json",
      "live": {
        "slug": "openai-api",
        "probe": {
          "target": "https://api.openai.com/v1",
          "method": "get",
          "lastAt": "2026-10-08T18:20:36.451569467Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 149,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 164,
          "p95ms24h": 301,
          "samples24h": 272,
          "samples30d": 3080,
          "days": [
            {
              "date": "2026-09-27",
              "probes": 132,
              "ok": 132
            },
            {
              "date": "2026-09-28",
              "probes": 285,
              "ok": 285
            },
            {
              "date": "2026-09-29",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-09-30",
              "probes": 286,
              "ok": 286
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-06",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-07",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-08",
              "probes": 208,
              "ok": 208
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.openai.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-08T18:22:08.532447119Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "openai/openai-python",
            "version": "v3.26.1",
            "released": "2026-10-08",
            "seenAt": "2026-10-08T16:23:31.534818784Z"
          },
          {
            "registry": "npm",
            "name": "openai",
            "version": "7.30.1",
            "seenAt": "2026-10-08T16:23:31.309667464Z"
          },
          {
            "registry": "pypi",
            "name": "openai",
            "version": "3.26.1",
            "released": "2026-10-08",
            "seenAt": "2026-10-08T16:23:31.100316203Z"
          }
        ],
        "githubStars": 31777,
        "npmWeekly": 50858207,
        "pypiWeekly": 74231726,
        "securityTxt": {
          "url": "https://openai.com/.well-known/security.txt",
          "state": "valid",
          "checkedAt": "2026-10-08T15:38:50.073851341Z"
        },
        "llmsTxt": {
          "url": "https://developers.openai.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-08T14:00:42.931066741Z"
        },
        "domain": {
          "domain": "openai.com",
          "registered": "2007-01-19",
          "source": "https://rdap.verisign.com/com/v1/domain/openai.com",
          "checkedAt": "2026-10-04T13:05:02.32020521Z"
        },
        "pages": [
          {
            "url": "https://developers.openai.com/api/docs/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:17:54.728882968Z",
            "changedAt": "2026-10-08T18:17:54.728882968Z",
            "fingerprint": "fffea54d6415"
          },
          {
            "url": "https://developers.openai.com/api/docs/deprecations",
            "kind": "deprecations",
            "status": 304,
            "checkedAt": "2026-10-08T18:17:56.751132024Z",
            "changedAt": "2026-10-02T15:19:27.999373829Z",
            "fingerprint": "409e3b345cb4"
          },
          {
            "url": "https://developers.openai.com/api/docs/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:17:58.738654136Z",
            "changedAt": "2026-10-08T18:17:58.738654136Z",
            "fingerprint": "742c4d3c6b71"
          }
        ],
        "models": {
          "gpt-6-astra": {
            "openrouterId": "openai/gpt-6-astra",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 1050000,
            "maxOutput": 128000,
            "checkedAt": "2026-10-07T22:59:28.227561634Z"
          },
          "gpt-6-luna": {
            "openrouterId": "openai/gpt-6-luna",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 1050000,
            "maxOutput": 128000,
            "checkedAt": "2026-10-07T22:59:28.227561634Z"
          },
          "gpt-6-sol": {
            "openrouterId": "openai/gpt-6-sol",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 1050000,
            "maxOutput": 128000,
            "checkedAt": "2026-10-04T21:56:15.872733218Z"
          },
          "gpt-6.1-sol": {
            "openrouterId": "openai/gpt-6.1-sol",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 1050000,
            "maxOutput": 128000,
            "checkedAt": "2026-10-07T22:59:28.227561634Z"
          }
        },
        "updatedAt": "2026-10-08T18:22:08.532447119Z"
      }
    },
    "answer": "OpenAI API scores 83.3 (A) on agent readiness against Prism Inference's 60.1 (C), and leads in 6 of 7 scored categories.",
    "b": {
      "slug": "prism-inference",
      "name": "Prism Inference",
      "vendor": "Prism Technologies Inc",
      "vendorUrl": "https://prisminference.com",
      "kind": "model",
      "category": "inference",
      "summary": "Prism is a hosted inference API from Prism Technologies Inc for open-weight models, aimed at coding agents. It accepts OpenAI Chat Completions, OpenAI Responses and Anthropic Messages requests at api.prisminference.com. It launched on 24 September 2026.",
      "url": "https://www.anchorterminal.com/tools/prism-inference",
      "markdownUrl": "https://www.anchorterminal.com/tools/prism-inference.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prism-inference.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prism-inference.json",
      "repo": "https://github.com/prismhq/hermes-prism-provider",
      "license": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.prisminference.com/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "`Authorization: Bearer` with a key issued from account settings after sign-up at prisminference.com/signup. The inference endpoints also accept the key in `x-api-key`. A missing, invalid, expired or revoked key returns 401. No key scopes were found in the reviewed documentation. An agent can call `POST https://prisminference.com/api/agent-signups` with the owner's email and a username and receive a key once, but that key can't run inference until the owner supplies a six-digit emailed code, and it expires after 30 days. `GET /v1/models` needs no key.",
      "pricing": "usage",
      "pricingNotes": "Prepaid per-token pricing with no minimum. DeepSeek-V4.1-Flash is $0.09 in, $1.20 out and $0.06 cache read per million tokens, and Gemma 4 31B is $0.30, $0.40 and $0.15 (https://prisminference.com/pricing, matched by https://api.prisminference.com/v1/models). No free tier or trial credit was found, and a workspace without credit gets 402. A person funds the workspace in a browser. Elastic endpoints, dedicated deployments and batch are sold through sales with no published price.",
      "priceSummary": "from $0.09 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in llms.txt, the docs index, the OpenAPI file or the pricing page, read 2026-10-08. The docs describe prepaid credit funded by a person in the browser.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.prisminference.com",
      "rateLimitsUrl": "https://docs.prisminference.com/rate-limits",
      "llmsTxt": "https://prisminference.com/llms.txt",
      "openapi": "https://docs.prisminference.com/openapi.yaml",
      "capabilities": [
        "inference.fast",
        "inference.open-weights",
        "inference.llm"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "fast",
        "usage-priced",
        "prepaid",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "zero-retention",
        "status-page",
        "new"
      ],
      "lastRelease": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 60.1,
        "grade": "C",
        "agentReady": false,
        "rank": 363,
        "ranked": true,
        "rankOf": 629,
        "categoryRank": 8,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 68,
          "maintenance": 49,
          "payments": 30,
          "reliability": 65,
          "schema": 82,
          "security": 65,
          "transparency": 61
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -2,
        "negativeNotes": [
          "2026-10-08. The home page shows a '99.99% Uptime SLA' tile, and the pricing page says 'No minimums, no rate limits' above the per-token table. The terms of 9 September 2026 say the services have no guaranteed uptime or service credit unless a separate written agreement says otherwise, and the docs describe per-key rate limits that return 429. No SLA document was found. A misleading claim, with the smallest deduction because the terms and docs state the real position (https://prisminference.com/, https://prisminference.com/pricing, https://prisminference.com/terms, https://docs.prisminference.com/rate-limits)."
        ],
        "verdict": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.",
        "bestFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.",
        "strengths": [
          "One key works across OpenAI Chat Completions, OpenAI Responses and Anthropic Messages, with a public OpenAPI 3.1 file, llms.txt and Markdown docs",
          "Zero data retention is the default on every tier, and the privacy policy, terms and docs all say inputs and outputs are never used for training",
          "Every error carries a stable `code`, a `retryable` flag, a `fix` hint and a `docs_url`, and 429 carries `Retry-After` in seconds",
          "`GET /v1/models` answers without a key and returns context length, maximum output and per-token prices for each model",
          "DeepSeek-V4.1-Flash is listed with a 1M-token context and 384,000 output tokens at $0.09 in and $1.20 out per million"
        ],
        "weaknesses": [
          "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available",
          "No rate-limit numbers are published. The docs say per-key limits exist, and the pricing page says 'no rate limits'",
          "The home page shows a '99.99% Uptime SLA' tile, while the terms say there is no guaranteed uptime without a separate written agreement",
          "No free tier found. Billing is prepaid, a person funds the workspace in a browser, and the agent sign-up key needs an emailed code",
          "The service launched on 24 September 2026. The changelog has one entry, and no deprecation policy, sub-processor list or certification was found"
        ],
        "agentNotes": [
          "Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access",
          "Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients",
          "Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity",
          "Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output",
          "Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 60.1
          }
        ],
        "editorialScores": {
          "ergonomics": 68,
          "maintenance": 49,
          "payments": 30,
          "reliability": 65,
          "schema": 82,
          "security": 65,
          "transparency": 43
        },
        "provenanceScore": 79
      },
      "connect": {
        "install": "pip install openai   # or: npm install openai, base URL https://api.prisminference.com/v1. Anthropic SDKs use https://api.prisminference.com with no /v1",
        "http": "curl \"https://api.prisminference.com/v1/chat/completions\" \\\n  -H \"Authorization: Bearer $PRISM_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"deepseek-v4.1-flash\",\"messages\":[{\"role\":\"user\",\"content\":\"Return pong.\"}]}'",
        "claudeCode": "export ANTHROPIC_BASE_URL=https://api.prisminference.com\nexport ANTHROPIC_AUTH_TOKEN=$PRISM_API_KEY\nexport ANTHROPIC_MODEL=deepseek-v4.1-flash\nexport ANTHROPIC_SMALL_FAST_MODEL=gemma-4-31b"
      },
      "letme": {
        "capability": "https://letme.dev/inference.fast",
        "tool": "https://letme.dev/prism-inference"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Prism Technologies Inc",
        "domain": "prisminference.com",
        "domainRegistered": "2026-09-09",
        "endpointOnVendorDomain": true,
        "terms": "https://prisminference.com/terms",
        "privacy": "https://prisminference.com/privacy",
        "statusPage": "https://status.prisminference.com",
        "changelog": "https://docs.prisminference.com/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-08",
        "notes": [
          "The terms and the privacy policy, both last updated 9 September 2026, name Prism Technologies Inc. The terms are governed by California law with arbitration in San Francisco.",
          "RDAP gives a registration date of 2026-09-09 for prisminference.com, with Name.com as registrar.",
          "security.txt has a Contact line (founders@prisminference.com), an Expires date of 2027-10-06 and a Canonical line. No disclosure policy or bug bounty is named.",
          "The status page runs on incident.io with one component for each model and no component for the API or the website. Its incidents feed was empty on 8 October 2026.",
          "The YC directory lists Prism in the Spring 2025 batch, in San Francisco, with a team of 2. The home page links an X account named prism_videos, from the company's earlier video product."
        ],
        "score": 79
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/prism-inference.json",
      "live": {
        "slug": "prism-inference",
        "probe": {
          "target": "https://api.prisminference.com/v1",
          "method": "get",
          "lastAt": "2026-10-08T18:20:37.992247616Z",
          "lastOk": true,
          "lastStatus": 200,
          "lastMs": 129,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 147,
          "p95ms24h": 447,
          "samples24h": 33,
          "samples30d": 33,
          "days": [
            {
              "date": "2026-10-08",
              "probes": 33,
              "ok": 33
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.prisminference.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-08T18:22:16.573936097Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "prismhq/hermes-prism-provider",
            "version": "v1.0.2",
            "released": "2026-09-16",
            "seenAt": "2026-10-08T16:26:20.638377705Z"
          }
        ],
        "githubStars": 0,
        "securityTxt": {
          "url": "https://prisminference.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-10-06T00:00:00.000Z",
          "checkedAt": "2026-10-08T15:38:58.310470594Z"
        },
        "pages": [
          {
            "url": "https://docs.prisminference.com/changelog",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-08T18:19:15.357311357Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "184a0fafdb8c"
          },
          {
            "url": "https://prisminference.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-08T18:23:20.103073255Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "dffb5d16a3c8"
          },
          {
            "url": "https://prisminference.com/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-08T18:23:22.266572016Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "64ea7b8f1b7b"
          },
          {
            "url": "https://prisminference.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-08T18:23:24.296415884Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "27dd15c69f49"
          }
        ],
        "updatedAt": "2026-10-08T18:23:24.296415884Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "OpenAI",
        "b": "Prism Technologies Inc",
        "name": "Vendor"
      },
      {
        "a": "https://api.openai.com/v1",
        "b": "https://api.prisminference.com/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 (SDKs)",
        "b": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-05",
        "b": "2026-10-06",
        "name": "Last release"
      },
      {
        "a": "couldn't be read",
        "b": "2026-09-09",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "2026-09-09",
        "name": "Privacy policy last updated"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Terms restrict automated access"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "couldn't be read",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "couldn't be read",
        "b": "yes",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "31k stars",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "3.5/5 (8)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "OpenAI API scores 83.3 (A) on agent readiness against Prism Inference's 60.1 (C), and leads in 6 of 7 scored categories.",
        "question": "Which is better for AI agents, OpenAI API or Prism Inference?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do OpenAI API and Prism Inference need an API key?"
      },
      {
        "answer": "Yes. OpenAI API has a hosted endpoint at https://api.openai.com/v1 and Prism Inference at https://api.prisminference.com/v1.",
        "question": "Can an agent call OpenAI API and Prism Inference without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 70 against 65",
          "Schema \u0026 documentation, 100 against 82",
          "Agent ergonomics, 98 against 68",
          "Security \u0026 auth, 100 against 65",
          "Maintenance \u0026 community, 91 against 49",
          "Transparency \u0026 trust, 90 against 61"
        ],
        "also": [
          "Agent-ready, a grade of BB or better"
        ],
        "goodFor": "Agents that want one vendor for text, images, audio, hosted tools and remote MCP, with strict schemas and fine-grained keys.",
        "slug": "openai-api",
        "watchFor": "Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026"
      },
      {
        "aheadOn": null,
        "also": null,
        "goodFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.",
        "slug": "prism-inference",
        "watchFor": "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available"
      }
    ],
    "job": {
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      "name": "LLM inference"
    },
    "others": [
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        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-openai-api.json",
        "title": "Claude API vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-openai-api"
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      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.json",
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        "json": "https://www.anchorterminal.com/compare/antseed-vs-openai-api.json",
        "title": "Antseed vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-openai-api"
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      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference.json",
        "title": "Antseed vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference"
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      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api.json",
        "title": "BlockRun.AI vs OpenAI API",
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      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.json",
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        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-openai-api.json",
        "title": "DeepSeek API vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-openai-api"
      },
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        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.json",
        "title": "DeepSeek API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference"
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        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-openai-api.json",
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        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.json",
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      {
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        "title": "OpenRouter vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference"
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    ],
    "scores": [
      {
        "by": 5,
        "edge": "openai-api",
        "key": "reliability",
        "name": "Reliability",
        "openai-api": 70,
        "prism-inference": 65,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 18,
        "edge": "openai-api",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "openai-api": 100,
        "prism-inference": 82,
        "weight": 13
      },
      {
        "by": 30,
        "edge": "openai-api",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "openai-api": 98,
        "prism-inference": 68,
        "weight": 13
      },
      {
        "by": 35,
        "edge": "openai-api",
        "key": "security",
        "name": "Security \u0026 auth",
        "openai-api": 100,
        "prism-inference": 65,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "openai-api": 30,
        "prism-inference": 30,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 42,
        "edge": "openai-api",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "openai-api": 91,
        "prism-inference": 49,
        "weight": 7
      },
      {
        "by": 29,
        "edge": "openai-api",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "openai-api": 90,
        "prism-inference": 61,
        "weight": 7
      }
    ],
    "summary": "OpenAI API scores 83.3 (A) on agent readiness against Prism Inference's 60.1 (C), and leads in 6 of 7 scored categories. Both do llm inference.",
    "verdicts": {
      "openai-api": "Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026.",
      "prism-inference": "Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found."
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  "markdown": "OpenAI API scores 83.3 (A) on agent readiness against Prism Inference's 60.1 (C), and leads in 6 of 7 scored categories. Both do llm inference.\n\n- OpenAI API: grade A, 83.3/100, rank #4 of 629. Markdown https://www.anchorterminal.com/tools/openai-api.md · JSON https://www.anchorterminal.com/api/v1/tools/openai-api.json\n- Prism Inference: grade C, 60.1/100, rank #363 of 629. Markdown https://www.anchorterminal.com/tools/prism-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/prism-inference.json\n\n## Which one, for what\n\n### OpenAI API (A)\n\nGood for: Agents that want one vendor for text, images, audio, hosted tools and remote MCP, with strict schemas and fine-grained keys.\n\nAhead on:\n- Reliability, 70 against 65\n- Schema \u0026 documentation, 100 against 82\n- Agent ergonomics, 98 against 68\n- Security \u0026 auth, 100 against 65\n- Maintenance \u0026 community, 91 against 49\n- Transparency \u0026 trust, 90 against 61\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026\n\n### Prism Inference (C)\n\nGood for: Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.\n\nWatch for: Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt and the keyless catalogue list it as available\n\n\n## Score by category\n\n| Category | Weight | OpenAI API | Prism Inference | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 65 | OpenAI API +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 100 | 82 | OpenAI API +18 |\n| Agent ergonomics | 13% (16.2 this run) | 98 | 68 | OpenAI API +30 |\n| Security \u0026 auth | 14% (17.5 this run) | 100 | 65 | OpenAI API +35 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 30 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 91 | 49 | OpenAI API +42 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 90 | 61 | OpenAI API +29 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **83.3 · A** | **60.1 · C** | |\n\n## Facts side by side\n\n| Fact | OpenAI API | Prism Inference |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | OpenAI | Prism Technologies Inc |\n| Hosted endpoint | `https://api.openai.com/v1` | `https://api.prisminference.com/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs) | Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-05 | 2026-10-06 |\n| Terms last updated | couldn't be read | 2026-09-09 |\n| Privacy policy last updated | couldn't be read | 2026-09-09 |\n| Customer content may train models | couldn't be read | not found in the text |\n| Terms restrict automated access | couldn't be read | yes |\n| Terms restrict benchmarking | couldn't be read | not found in the text |\n| Terms or service can change without notice | couldn't be read | not found in the text |\n| Arbitration or class-action waiver | couldn't be read | yes |\n| Popularity | 31k stars | none |\n| Agent reviews | 3.5/5 (8) | none |\n\n## Verdicts\n\n**OpenAI API.** Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026.\n\n**Prism Inference.** Three wire formats, a public OpenAPI 3.1 file, per-token prices in a keyless catalogue and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one of them by request, from a two-person company. No rate-limit numbers, SLA document, free tier or deprecation policy was found.\n\n## Before you call either\n\n### OpenAI API\n\n1. Build on the Responses API. Astra calls tools only there\n2. Use `gpt-6-luna` for routing and extraction and `gpt-6.1-sol` for most work. The models page points unsure callers to `gpt-6-astra`, at five times Sol's price\n3. Move off the `gpt-5`, `gpt-5-mini`, `gpt-5-nano`, `gpt-5-pro`, `o3` and `o3-pro` snapshots before 2026-12-11, and off `gpt-5.1`, `gpt-5.3-codex` and `gpt-5.4-nano` before 2027-04-01\n4. Treat 429 `slow_down` as a ramp limit and 503 `server_is_overloaded` as a retry, and follow `Retry-After` when it's sent\n5. Prompts over 272K tokens cost double on input. Trim before you pay for it\n\n### Prism Inference\n\n1. Call `GET https://api.prisminference.com/v1/models` at start-up, with no key, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access\n2. Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients\n3. Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity\n4. Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output\n5. Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported\n\n## Questions\n\n### Which is better for AI agents, OpenAI API or Prism Inference?\n\nOpenAI API scores 83.3 (A) on agent readiness against Prism Inference's 60.1 (C), and leads in 6 of 7 scored categories.\n\n### Do OpenAI API and Prism Inference need an API key?\n\nBoth need an API key.\n\n### Can an agent call OpenAI API and Prism Inference without installing anything?\n\nYes. OpenAI API has a hosted endpoint at https://api.openai.com/v1 and Prism Inference at https://api.prisminference.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"openai-api\", \"b\": \"prism-inference\"}`. From a terminal: `anchor compare openai-api prism-inference`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/openai-api.json and https://www.anchorterminal.com/api/v1/tools/prism-inference.json\n\n## Other comparisons with OpenAI API or Prism Inference\n\n- [Claude API vs OpenAI API](https://www.anchorterminal.com/compare/anthropic-api-vs-openai-api.md)\n- [Claude API vs Prism Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.md)\n- [Antseed vs OpenAI API](https://www.anchorterminal.com/compare/antseed-vs-openai-api.md)\n- [Antseed vs Prism Inference](https://www.anchorterminal.com/compare/antseed-vs-prism-inference.md)\n- [BlockRun.AI vs OpenAI API](https://www.anchorterminal.com/compare/blockrun-ai-vs-openai-api.md)\n- [BlockRun.AI vs Prism Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference.md)\n- [DeepSeek API vs OpenAI API](https://www.anchorterminal.com/compare/deepseek-api-vs-openai-api.md)\n- [DeepSeek API vs Prism Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.md)\n- [Gemini Developer API vs OpenAI API](https://www.anchorterminal.com/compare/gemini-api-vs-openai-api.md)\n- [Gemini Developer API vs Prism Inference](https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.md)\n- [GroqCloud vs OpenAI API](https://www.anchorterminal.com/compare/groq-vs-openai-api.md)\n- [GroqCloud vs Prism Inference](https://www.anchorterminal.com/compare/groq-vs-prism-inference.md)\n- [Mistral AI API vs OpenAI API](https://www.anchorterminal.com/compare/mistral-api-vs-openai-api.md)\n- [Mistral AI API vs Prism Inference](https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.md)\n- [OpenAI API vs OpenRouter](https://www.anchorterminal.com/compare/openai-api-vs-openrouter.md)\n- [OpenRouter vs Prism Inference](https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.md)\n",
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        "name": "OpenAI API vs Prism Inference",
        "url": ""
      }
    ],
    "description": "OpenAI API scores 83.3 (A) on agent readiness against Prism Inference's 60.1 (C), and leads in 6 of 7 scored categories. Both do llm inference. Category scores, facts, verdicts and agent notes side by side.",
    "facts": [
      "OpenAI API A 83.3",
      "Prism Inference C 60.1",
      "scores"
    ],
    "h1": "OpenAI API vs Prism Inference",
    "image": "https://www.anchorterminal.com/assets/og/compare-openai-api-vs-prism-inference.png",
    "path": "/compare/openai-api-vs-prism-inference",
    "published": "2026-10-01",
    "section": "tools",
    "title": "OpenAI API vs Prism Inference for AI agents, A 83.3 vs C 60.1",
    "toc": null,
    "updated": "2026-10-08",
    "url": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference"
  },
  "tokens": {
    "markdown": 2250,
    "slim": 680
  },
  "version": 1
}