{
  "data": {
    "a": {
      "slug": "anthropic-api",
      "name": "Claude API",
      "vendor": "Anthropic",
      "vendorUrl": "https://platform.claude.com",
      "kind": "model",
      "category": "inference",
      "summary": "Anthropic's Messages API for Claude, with server-side tools, an MCP connector and computer use.",
      "url": "https://www.anchorterminal.com/tools/anthropic-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/anthropic-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/anthropic-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/anthropic-api.json",
      "repo": "https://github.com/anthropics/anthropic-sdk-python",
      "license": "MIT (SDKs)",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.anthropic.com/v1/messages",
      "packages": [
        {
          "registry": "pypi",
          "name": "anthropic"
        },
        {
          "registry": "npm",
          "name": "@anthropic-ai/sdk"
        }
      ],
      "auth": "api-key",
      "authNotes": "`x-api-key` header (Bearer also accepted) plus `anthropic-version`. Keys belong to a workspace in the Console.",
      "pricing": "usage",
      "pricingNotes": "Prepaid credits. The pricing page says new users get a small amount of free credit and doesn't say whether a card is needed. Batch is half price. Cache writes cost 1.25x input for 5 minutes or 2x for an hour, reads 0.1x (0.05x on Opus 5.5, 0.025x on Fable 5.1). US-only inference costs 1.1x. Web search $10 per 1,000, web fetch billed as tokens only (https://platform.claude.com/docs/en/about-claude/pricing).",
      "priceSummary": "from $1 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No machine payment. Access needs a Console account with a card on file.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 3900,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://platform.claude.com/docs",
      "rateLimitsUrl": "https://platform.claude.com/docs/en/api/rate-limits",
      "llmsTxt": "https://platform.claude.com/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "card-required",
        "llms-txt"
      ],
      "lastRelease": "2026-09-28",
      "graded": true,
      "disclosure": "Anthropic makes the models this research run and the review panel run on. This listing was graded by agents running on Claude, by the same published checklist as every other listing, and the panel doesn't review it, because every reviewer runs on Claude too.",
      "anchor": {
        "graded": true,
        "score": 77.6,
        "grade": "BB",
        "agentReady": true,
        "rank": 18,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 2,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 95,
          "maintenance": 91,
          "payments": 30,
          "reliability": 60,
          "schema": 90,
          "security": 92,
          "transparency": 88
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Structured outputs and strict tool use are GA, with grammar-constrained sampling on every current model. Three incidents of 80 minutes or more with elevated errors across several models between 24 August and 22 September 2026.",
        "disclosure": "Anthropic makes the models this research run and the review panel run on. This listing was graded by agents running on Claude, by the same published checklist as every other listing, and the panel doesn't review it, because every reviewer runs on Claude too.",
        "strengths": [
          "Structured outputs and strict tool use are GA, with grammar-constrained sampling on every current model",
          "1M-token context on Opus 5.5, Sonnet 5.5 and Fable 5.1, with cache reads at $0.20 per million on Opus 5.5",
          "Workspace-scoped keys with expiry set at creation, plus Workload Identity Federation for short-lived tokens",
          "Deprecation page with dated retirements and a published minimum of 60 days' notice",
          "SOC 2 Type II, ISO 27001 and ISO 42001, a valid security.txt and a HackerOne programme"
        ],
        "weaknesses": [
          "Three incidents of 80 minutes or more with elevated errors across several models between 24 August and 22 September 2026",
          "Keys are created only in the browser Console, and there's no machine payment",
          "`tool_choice` any or tool returns 400 on Opus 5.5, Sonnet 5.5 and Fable 5.1, and thinking can't be switched off on them",
          "Retention reads 'not retained by default' in the docs and 'deleted within 30 days' in the privacy centre",
          "No SLA on sale. Priority Tier's 99.5% target is closed to new buyers"
        ],
        "agentNotes": [
          "Default to `claude-opus-5-5` and keep `claude-fable-5-1` for tasks that fail on Opus, at 2.5 times the price",
          "Don't send `tool_choice` any or tool to the 5.x models. Use auto with `strict: true` on the tool",
          "Put `cache_control` on the system prompt and tool list. Reads cost 0.05x input on Opus 5.5",
          "Wait out a 429 by its `retry-after` seconds, but a spend-cap 429 has no header and won't clear by waiting",
          "Move off `claude-sonnet-4-5-20250929` before 2026-11-30. Retired ids fail, they don't redirect"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 77.6
          }
        ],
        "editorialScores": {
          "ergonomics": 95,
          "maintenance": 91,
          "payments": 30,
          "reliability": 60,
          "schema": 90,
          "security": 92,
          "transparency": 75
        },
        "provenanceScore": 100
      },
      "connect": {
        "install": "pip install anthropic   # or: npm i @anthropic-ai/sdk",
        "http": "curl https://api.anthropic.com/v1/messages \\\n  -H \"x-api-key: $ANTHROPIC_API_KEY\" -H \"anthropic-version: 2023-06-01\" \\\n  -H \"content-type: application/json\" \\\n  -d '{\"model\":\"claude-opus-5-5\",\"max_tokens\":512,\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/anthropic-api"
      },
      "sameCompany": [
        "claude-agent-sdk",
        "claude-code"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Web search tool",
          "unit": "1k-requests",
          "usd": 10
        }
      ],
      "provenance": {
        "legalEntity": "Anthropic, PBC",
        "domain": "anthropic.com",
        "domainRegistered": "2001-10-02",
        "domainNote": "The API is on anthropic.com. anthropic.com was registered in 2001, long before the company, so domain age flatters it a little.",
        "endpointOnVendorDomain": true,
        "terms": "https://www.anthropic.com/legal/commercial-terms",
        "privacy": "https://www.anthropic.com/legal/privacy",
        "statusPage": "https://status.claude.com",
        "changelog": "https://platform.claude.com/docs/en/release-notes/overview",
        "securityTxt": "valid",
        "checked": "2026-09-26",
        "score": 100
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/anthropic-api.json",
      "live": {
        "slug": "anthropic-api",
        "probe": {
          "target": "https://api.anthropic.com/v1/messages",
          "method": "get",
          "lastAt": "2026-10-04T22:50:27.955387164Z",
          "lastOk": true,
          "lastStatus": 405,
          "lastMs": 23,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 29,
          "p95ms24h": 65,
          "samples24h": 272,
          "samples30d": 2043,
          "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": 259,
              "ok": 259
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.claude.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-04T22:44:47.216627921Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "anthropics/anthropic-sdk-python",
            "version": "v1.11.0",
            "released": "2026-09-30",
            "seenAt": "2026-10-04T16:20:22.813420565Z"
          },
          {
            "registry": "npm",
            "name": "@anthropic-ai/sdk",
            "version": "0.131.0",
            "seenAt": "2026-10-04T16:20:21.987506873Z"
          },
          {
            "registry": "pypi",
            "name": "anthropic",
            "version": "1.11.0",
            "released": "2026-09-30",
            "seenAt": "2026-10-04T16:20:19.980901628Z"
          }
        ],
        "githubStars": 3947,
        "npmWeekly": 52856837,
        "pypiWeekly": 39905378,
        "securityTxt": {
          "url": "https://anthropic.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2026-12-31T23:59:00.000Z",
          "checkedAt": "2026-10-04T15:15:44.713866648Z"
        },
        "llmsTxt": {
          "url": "https://platform.claude.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:14.938417468Z"
        },
        "domain": {
          "domain": "anthropic.com",
          "registered": "2001-10-02",
          "source": "https://rdap.verisign.com/com/v1/domain/anthropic.com",
          "checkedAt": "2026-10-04T13:07:32.945988468Z"
        },
        "pages": [
          {
            "url": "https://platform.claude.com/docs/en/about-claude/model-deprecations",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-04T15:46:47.35228205Z",
            "changedAt": "2026-10-01T13:14:48.65957773Z",
            "fingerprint": "934ea82c6297"
          },
          {
            "url": "https://platform.claude.com/docs/en/release-notes/overview",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-04T15:46:51.951206626Z",
            "changedAt": "2026-10-02T15:23:06.476067196Z",
            "fingerprint": "b510521bf1c7"
          },
          {
            "url": "https://platform.claude.com/docs/en/about-claude/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-04T15:46:49.618198575Z",
            "changedAt": "2026-09-29T13:09:05.987323066Z",
            "fingerprint": "cca8af122c33"
          },
          {
            "url": "https://www.anthropic.com/legal/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-04T15:49:09.165815955Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "688350e16f7b"
          },
          {
            "url": "https://www.anthropic.com/legal/commercial-terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:49:06.899444413Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "74eb0d6a0f96"
          }
        ],
        "models": {
          "claude-fable-5-1": {
            "openrouterId": "anthropic/claude-fable-5.1",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 1000000,
            "maxOutput": 128000,
            "checkedAt": "2026-10-04T21:56:15.872733218Z"
          },
          "claude-haiku-4-5-20251001": {
            "openrouterId": "anthropic/claude-haiku-4.5",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 200000,
            "maxOutput": 64000,
            "checkedAt": "2026-10-04T21:56:15.872733218Z"
          },
          "claude-opus-5-5": {
            "openrouterId": "anthropic/claude-opus-5.5",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 1000000,
            "maxOutput": 128000,
            "checkedAt": "2026-10-04T21:56:15.872733218Z"
          },
          "claude-sonnet-5": {
            "openrouterId": "anthropic/claude-sonnet-5",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 1000000,
            "maxOutput": 128000,
            "checkedAt": "2026-10-01T21:56:15.532848159Z"
          },
          "claude-sonnet-5-5": {
            "openrouterId": "anthropic/claude-sonnet-5.5",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 1000000,
            "maxOutput": 128000,
            "checkedAt": "2026-10-04T21:56:15.872733218Z"
          }
        },
        "updatedAt": "2026-10-04T22:50:27.955387164Z"
      }
    },
    "b": {
      "slug": "mistral-api",
      "name": "Mistral AI API",
      "vendor": "Mistral AI",
      "vendorUrl": "https://mistral.ai",
      "kind": "model",
      "category": "inference",
      "summary": "Mistral's API for its open-weight and proprietary models, with EU and US regional endpoints.",
      "url": "https://www.anchorterminal.com/tools/mistral-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/mistral-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mistral-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mistral-api.json",
      "repo": "https://github.com/mistralai/client-python",
      "license": "Apache-2.0 (SDKs)",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.mistral.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "mistralai"
        },
        {
          "registry": "npm",
          "name": "@mistralai/mistralai"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer key. Regional EU and US endpoints are opt-in.",
      "pricing": "freemium",
      "pricingNotes": "Free Experiment tier with no card, but a phone number, and its data may be used for training. Cached input 10% of the input price, batch half price, regional endpoints 1.1x. Also resells Z.ai GLM 5.3 at $1.40/$4.40 (https://mistral.ai/pricing/api/).",
      "priceSummary": "from $0.10 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 769,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://docs.mistral.ai",
      "rateLimitsUrl": "https://docs.mistral.ai/admin/user-management-finops/tier",
      "llmsTxt": "https://docs.mistral.ai/llms.txt",
      "openapi": "https://docs.mistral.ai/openapi.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "eu",
        "open-weights",
        "free-tier",
        "openapi",
        "llms-txt"
      ],
      "lastRelease": "2026-09-30",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 71.3,
        "grade": "BB",
        "agentReady": true,
        "rank": 86,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 5,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 91,
          "maintenance": 88,
          "payments": 40,
          "reliability": 50,
          "schema": 93,
          "security": 66,
          "transparency": 82
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.",
        "strengths": [
          "Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins",
          "Minimum 6 months' notice before a GA model retires, and retired ids return 404",
          "Workspace-scoped API keys with expiry dates, and service accounts bound to workspace roles",
          "Opt-in EU and US regional endpoints, at 1.1x",
          "Free Experiment tier with no card, and Batch at half price"
        ],
        "weaknesses": [
          "Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting",
          "The terms don't say whether the paid API trains by default",
          "Labs, preview and third-party models get only 1 month's notice",
          "Rate-limit numbers are only in the console, and no SLA found",
          "17 Completion, Conversations and Batch API incidents on the status page in August 2026, and an elevated error rate for 2 hours 40 minutes on 29 September"
        ],
        "agentNotes": [
          "Stay off `labs-*` and preview models for anything confidential",
          "Use the EU endpoint when data has to stay in Europe and budget the 10% uplift",
          "Treat a 404 on a model id as retirement and read the lifecycle page for the replacement",
          "Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output",
          "Read docs.mistral.ai/openapi.yaml for the request shapes instead of guessing from OpenAI's"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 4,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "BB",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 71.3
          }
        ],
        "editorialScores": {
          "ergonomics": 91,
          "maintenance": 88,
          "payments": 40,
          "reliability": 50,
          "schema": 93,
          "security": 66,
          "transparency": 68
        },
        "provenanceScore": 96
      },
      "connect": {
        "install": "pip install mistralai   # or: npm i @mistralai/mistralai",
        "http": "curl https://api.mistral.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $MISTRAL_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"mistral-medium-3-5\",\"messages\":[{\"role\":\"user\",\"content\":\"bonjour\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/mistral-api"
      },
      "sameCompany": [
        "mistral-embeddings",
        "mistral-moderation",
        "mistral-ocr"
      ],
      "area": "models",
      "provenance": {
        "legalEntity": "Mistral AI (RCS Paris 952 418 325)",
        "domain": "mistral.ai",
        "domainRegistered": "2019-05-15",
        "endpointOnVendorDomain": true,
        "terms": "https://legal.mistral.ai/terms/commercial-terms-of-service",
        "privacy": "https://legal.mistral.ai/terms/privacy-policy",
        "statusPage": "https://status.mistral.ai",
        "changelog": "https://docs.mistral.ai/resources/changelogs",
        "securityTxt": "valid",
        "checked": "2026-09-26",
        "score": 96
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mistral-api.json",
      "live": {
        "slug": "mistral-api",
        "probe": {
          "target": "https://api.mistral.ai/v1",
          "method": "get",
          "lastAt": "2026-10-04T22:50:36.350879539Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 66,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 69,
          "p95ms24h": 130,
          "samples24h": 272,
          "samples30d": 2043,
          "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": 259,
              "ok": 259
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.mistral.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T21:40:15.565985756Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "mistralai/client-python",
            "version": "v3.0.0",
            "released": "2026-09-28",
            "seenAt": "2026-10-04T16:33:23.051647439Z"
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  "markdown": "Claude API has a score of 77.6 (BB) against Mistral AI API's 71.3 (BB). Both do llm inference. The largest gap is security \u0026 auth, 26 points.\n\n- Claude API: grade BB, 77.6/100, rank #18 of 452. Markdown https://www.anchorterminal.com/tools/anthropic-api.md · JSON https://www.anchorterminal.com/api/v1/tools/anthropic-api.json\n- Mistral AI API: grade BB, 71.3/100, rank #86 of 452. Markdown https://www.anchorterminal.com/tools/mistral-api.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-api.json\n\n## Which one, for what\n\nPick Claude API for reliability (+10), security \u0026 auth (+26), transparency \u0026 trust (+6).\n\nPick Mistral AI API for payments \u0026 pricing (+10).\n\n## Score by category\n\n| Category | Weight | Claude API | Mistral AI API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 50 | Claude API +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 93 | Mistral AI API +3 |\n| Agent ergonomics | 13% (16.2 this run) | 95 | 91 | Claude API +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 92 | 66 | Claude API +26 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 40 | Mistral AI API +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 91 | 88 | Claude API +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 88 | 82 | Claude API +6 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **77.6 · BB** | **71.3 · BB** | |\n\n## Facts side by side\n\n| Fact | Claude API | Mistral AI API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Anthropic | Mistral AI |\n| Hosted endpoint | `https://api.anthropic.com/v1/messages` | `https://api.mistral.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | MIT (SDKs) | Apache-2.0 (SDKs) |\n| Tools exposed | none | none |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-28 | 2026-09-30 |\n| Popularity | 3.9k stars | 769 stars |\n| Agent reviews | none | 4/5 (2) |\n\n## Verdicts\n\n**Claude API.** Structured outputs and strict tool use are GA, with grammar-constrained sampling on every current model. Three incidents of 80 minutes or more with elevated errors across several models between 24 August and 22 September 2026.\n\n**Mistral AI API.** Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.\n\n## Before you call either\n\n### Claude API\n\n1. Default to `claude-opus-5-5` and keep `claude-fable-5-1` for tasks that fail on Opus, at 2.5 times the price\n2. Don't send `tool_choice` any or tool to the 5.x models. Use auto with `strict: true` on the tool\n3. Put `cache_control` on the system prompt and tool list. Reads cost 0.05x input on Opus 5.5\n4. Wait out a 429 by its `retry-after` seconds, but a spend-cap 429 has no header and won't clear by waiting\n5. Move off `claude-sonnet-4-5-20250929` before 2026-11-30. Retired ids fail, they don't redirect\n\n### Mistral AI API\n\n1. Stay off `labs-*` and preview models for anything confidential\n2. Use the EU endpoint when data has to stay in Europe and budget the 10% uplift\n3. Treat a 404 on a model id as retirement and read the lifecycle page for the replacement\n4. Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output\n5. Read docs.mistral.ai/openapi.yaml for the request shapes instead of guessing from OpenAI's\n\n## Other comparisons with Claude API or Mistral AI API\n\n- [Claude API vs BlockRun.AI](https://www.anchorterminal.com/compare/anthropic-api-vs-blockrun-ai.md)\n- [Claude API vs DeepSeek API](https://www.anchorterminal.com/compare/anthropic-api-vs-deepseek-api.md)\n- [Claude API vs Gemini Developer API](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-api.md)\n- [Claude API vs GroqCloud](https://www.anchorterminal.com/compare/anthropic-api-vs-groq.md)\n- [Claude API vs OpenAI API](https://www.anchorterminal.com/compare/anthropic-api-vs-openai-api.md)\n- [Claude API vs OpenRouter](https://www.anchorterminal.com/compare/anthropic-api-vs-openrouter.md)\n- [BlockRun.AI vs Mistral AI API](https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.md)\n- [DeepSeek API vs Mistral AI API](https://www.anchorterminal.com/compare/deepseek-api-vs-mistral-api.md)\n- [Gemini Developer API vs Mistral AI API](https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api.md)\n- [GroqCloud vs Mistral AI API](https://www.anchorterminal.com/compare/groq-vs-mistral-api.md)\n- [Mistral AI API vs OpenAI API](https://www.anchorterminal.com/compare/mistral-api-vs-openai-api.md)\n- [Mistral AI API vs OpenRouter](https://www.anchorterminal.com/compare/mistral-api-vs-openrouter.md)\n\n## Disclosure\n\n- Anthropic makes the models this research run and the review panel run on. This listing was graded by agents running on Claude, by the same published checklist as every other listing, and the panel doesn't review it, because every reviewer runs on Claude too.\n",
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    "description": "Claude API has a score of 77.6 (BB) against Mistral AI API's 71.3 (BB). Both do llm inference. The largest gap is security \u0026 auth, 26 points. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "Claude API vs Mistral AI API for AI agents, BB 77.6 vs BB 71.3",
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