{
  "data": {
    "a": {
      "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. Mistral Large 4 (preview) is $1.36/$4.18 per million tokens, cached input $0.14, at half price for two weeks from its 6 October launch. 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": "2026-10-06",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 71.2,
        "grade": "BB",
        "agentReady": true,
        "rank": 135,
        "ranked": true,
        "rankOf": 965,
        "categoryRank": 5,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 91,
          "maintenance": 88,
          "payments": 40,
          "reliability": 50,
          "schema": 93,
          "security": 66,
          "transparency": 80
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-12"
        },
        "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, Mistral Large 4 among them since 6 October, may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.",
        "bestFor": "Teams that need EU processing, open-weight models they can later run themselves, or an API an agent can read from an OpenAPI file.",
        "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": [
          "Labs and preview models, Large 4 among them, may train on data sent 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, `mistral-large-4` included while it is in preview, 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": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 71.2
          }
        ],
        "editorialScores": {
          "ergonomics": 91,
          "maintenance": 88,
          "payments": 40,
          "reliability": 50,
          "schema": 93,
          "security": 66,
          "transparency": 68
        },
        "provenanceScore": 91
      },
      "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-voxtral-transcribe",
        "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": 91
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mistral-api.json",
      "live": {
        "slug": "mistral-api",
        "probe": {
          "target": "https://api.mistral.ai/v1",
          "method": "get",
          "lastAt": "2026-10-12T04:37:27.146401602Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 75,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 70,
          "p95ms24h": 131,
          "samples24h": 247,
          "samples30d": 3931,
          "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": 268,
              "ok": 268
            },
            {
              "date": "2026-10-09",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 47,
              "ok": 47
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.mistral.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-12T03:24:35.303367485Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "mistralai/client-python",
            "version": "v3.2.0",
            "released": "2026-10-09",
            "seenAt": "2026-10-11T19:43:58.590224514Z"
          },
          {
            "registry": "npm",
            "name": "@mistralai/mistralai",
            "version": "2.7.0",
            "seenAt": "2026-10-11T19:43:58.283987892Z"
          },
          {
            "registry": "pypi",
            "name": "mistralai",
            "version": "3.2.0",
            "released": "2026-10-09",
            "seenAt": "2026-10-11T19:43:58.164309958Z"
          }
        ],
        "githubStars": 773,
        "npmWeekly": 7899199,
        "pypiWeekly": 3154450,
        "securityTxt": {
          "url": "https://mistral.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-05-05T23:59:59.000Z",
          "checkedAt": "2026-10-11T15:42:43.322490127Z"
        },
        "llmsTxt": {
          "url": "https://docs.mistral.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-11T14:07:03.219243346Z"
        },
        "domain": {
          "domain": "mistral.ai",
          "registered": "2019-05-15",
          "source": "https://rdap.identitydigital.services/rdap/domain/mistral.ai",
          "checkedAt": "2026-10-11T13:13:49.820537908Z"
        },
        "pages": [
          {
            "url": "https://docs.mistral.ai/resources/changelogs",
            "kind": "deprecations",
            "status": 304,
            "checkedAt": "2026-10-11T19:26:16.394208802Z",
            "changedAt": "2026-10-07T18:05:15.998003428Z",
            "fingerprint": "f37008aff154"
          },
          {
            "url": "https://legal.mistral.ai/terms/commercial-terms-of-service",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-11T19:29:39.768636351Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "227daf1e9929"
          },
          {
            "url": "https://mistral.ai/pricing/api/",
            "kind": "pricing",
            "status": 304,
            "checkedAt": "2026-10-11T19:30:34.837028347Z",
            "changedAt": "2026-10-07T18:07:31.904425325Z",
            "fingerprint": "a7cad481f8de"
          },
          {
            "url": "https://legal.mistral.ai/terms/privacy-policy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-11T19:29:42.085863391Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e74211012ef6"
          }
        ],
        "models": {
          "ministral-3b-2512": {
            "openrouterId": "mistralai/ministral-3b-2512",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": false,
            "input": [
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 131072,
            "maxOutput": 104857,
            "checkedAt": "2026-10-11T22:59:28.731564938Z"
          },
          "mistral-large-2512": {
            "openrouterId": "mistralai/mistral-large-2512",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": false,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 262144,
            "maxOutput": 209715,
            "checkedAt": "2026-10-11T22:59:28.731564938Z"
          },
          "mistral-medium-3-5": {
            "openrouterId": "mistralai/mistral-medium-3-5",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "file",
              "image",
              "text"
            ],
            "promptCaching": false,
            "contextTokens": 262144,
            "maxOutput": 209715,
            "checkedAt": "2026-10-11T22:59:28.731564938Z"
          },
          "mistral-small-2603": {
            "openrouterId": "mistralai/mistral-small-2603",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": true,
            "input": [
              "image",
              "text"
            ],
            "promptCaching": true,
            "contextTokens": 262144,
            "maxOutput": 209715,
            "checkedAt": "2026-10-11T22:59:28.731564938Z"
          }
        },
        "updatedAt": "2026-10-12T04:37:27.146401602Z"
      }
    },
    "answer": "Mistral AI API scores 71.2 (BB) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category.",
    "b": {
      "slug": "stepfun-api",
      "name": "StepFun API",
      "vendor": "StepFun",
      "vendorUrl": "https://platform.stepfun.ai",
      "kind": "model",
      "category": "inference",
      "summary": "The StepFun API is StepFun's paid model API for its Step language, vision and speech models, including the flagship Step 5 Preview, through OpenAI-style Chat Completions and Responses endpoints and an Anthropic-style Messages endpoint.",
      "url": "https://www.anchorterminal.com/tools/stepfun-api",
      "markdownUrl": "https://www.anchorterminal.com/tools/stepfun-api.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/stepfun-api.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/stepfun-api.json",
      "license": "Closed service under the StepFun Open Platform Terms of Service (STEPFUN TECHNOLOGY (HK) LIMITED, Hong Kong law).",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.stepfun.ai/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "A bearer API key created in the StepFun Open Platform console after sign-up. Organisations can create one key per project, billed to the organisation's credit and deletable at once. No key scopes were found. Individual accounts must complete identity verification before tiered rate limits apply.",
      "pricing": "usage",
      "pricingNotes": "Step 5 Preview is $1.00 per million input tokens on a cache miss, $0.10 on a cache hit and $2.70 per million output tokens, reasoning included (checked 2026-10-12). Prepaid top-ups. No free API allowance was found. A Step Plan subscription covers coding tools separately.",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the international docs index, the pricing page or the Chat Completions reference, checked 12 October 2026. Calls draw on a prepaid balance.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-12"
      },
      "docsUrl": "https://platform.stepfun.ai/docs/en/guides/models/step-5-preview",
      "llmsTxt": "https://platform.stepfun.ai/docs/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "usage-priced",
        "closed-source",
        "llms-txt",
        "multimodal",
        "streaming"
      ],
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 44.4,
        "grade": "E",
        "agentReady": false,
        "rank": 889,
        "ranked": true,
        "rankOf": 965,
        "categoryRank": 18,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 68,
          "maintenance": 50,
          "payments": 20,
          "reliability": 28,
          "schema": 53,
          "security": 41,
          "transparency": 58
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-12"
        },
        "negative": 0,
        "verdict": "StepFun's API serves Step 5 Preview with a 1M-token context, video input, strict JSON Schema output and published per-token prices, documented in Markdown with an llms.txt. The model is a preview with no release date found, there's no free allowance or SLA, and the terms and privacy policy leave room to train on customer data.",
        "bestFor": "Long-context agent and coding work over text, screenshots and video at a low per-token price, where a preview model is acceptable.",
        "strengths": [
          "Step 5 Preview takes text, images and video with a 1M-token context and up to 64k output tokens",
          "Strict JSON Schema output and tool calls on Step 5 Preview, per the structured-output guide",
          "Per-token prices with cache-hit rates published without a login, and rate-limit tiers published with numbers",
          "OpenAI-style Chat Completions and Responses endpoints and an Anthropic-style Messages endpoint",
          "llms.txt and a Markdown copy of every docs page"
        ],
        "weaknesses": [
          "Step 5 Preview is labelled a preview, and no release date or support commitment was found",
          "No free API allowance found, and individual accounts need identity verification for tiered limits",
          "No OpenAPI file, no official SDK and no batch endpoint found",
          "The privacy policy allows training on user data where law and program terms permit, with no zero-retention option found",
          "No SLA, security.txt or certification found"
        ],
        "agentNotes": [
          "Set `max_tokens` yourself. It defaults to unlimited on Step 5 Preview, and reasoning tokens are billed as output",
          "Use `response_format` with `type: json_schema` and `strict: true` when the shape matters. JSON Mode alone isn't schema-checked",
          "Back off and retry on 429, 500, 503 and 504. The docs give no Retry-After header or backoff schedule",
          "Expect HTTP 451 or `finish_reason: content_filter` when content fails StepFun's review, and don't retry the same input",
          "Use api.stepfun.ai for the international platform. api.stepfun.com is the China platform with yuan pricing"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "E",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 44.4
          }
        ],
        "editorialScores": {
          "ergonomics": 68,
          "maintenance": 50,
          "payments": 20,
          "reliability": 28,
          "schema": 53,
          "security": 41,
          "transparency": 51
        },
        "provenanceScore": 65
      },
      "connect": {
        "http": "curl https://api.stepfun.ai/v1/chat/completions \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer $STEPFUN_API_KEY\" \\\n  -d '{\"model\":\"step-5-preview\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/stepfun-api"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Step 5 Preview input, cache miss",
          "unit": "1m-tokens",
          "usd": 1,
          "note": "Includes writing new content to the cache."
        },
        {
          "item": "Step 5 Preview input, cache hit",
          "unit": "1m-tokens",
          "usd": 0.1
        },
        {
          "item": "Step 5 Preview output",
          "unit": "1m-tokens",
          "usd": 2.7,
          "note": "Reasoning and final answer tokens."
        }
      ],
      "provenance": {
        "legalEntity": "STEPFUN TECHNOLOGY (HK) LIMITED",
        "domain": "stepfun.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://platform.stepfun.ai/docs/en/agreement/userservice",
        "privacy": "https://platform.stepfun.ai/docs/en/agreement/userprivacy",
        "statusPage": "",
        "changelog": "https://platform.stepfun.ai/docs/en/guides/model-migration",
        "securityTxt": "none",
        "checked": "2026-10-12",
        "notes": [
          "The terms and the privacy policy name STEPFUN TECHNOLOGY (HK) LIMITED. Disputes go to HKIAC arbitration under Hong Kong law.",
          "platform.stepfun.ai/.well-known/security.txt returned 404, and stepfun.ai/.well-known/security.txt redirects to the platform home page.",
          "status.stepfun.ai refused our reader by robots.txt, and the shell couldn't connect, so whether it is a status page wasn't established.",
          "The X handle comes from the QR code labelled X account on the platform home page, which decodes to https://x.com/StepFun_ai.",
          "Domain registration date was not checked."
        ],
        "score": 65
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/stepfun-api.json",
      "live": {
        "slug": "stepfun-api",
        "probe": {
          "target": "https://api.stepfun.ai/v1",
          "method": "get",
          "lastAt": "2026-10-12T04:37:36.182148739Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 267,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 275,
          "p95ms24h": 492,
          "samples24h": 21,
          "samples30d": 21,
          "days": [
            {
              "date": "2026-10-12",
              "probes": 21,
              "ok": 21
            }
          ]
        },
        "updatedAt": "2026-10-12T04:37:36.182148739Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Mistral AI",
        "b": "StepFun",
        "name": "Vendor"
      },
      {
        "a": "https://api.mistral.ai/v1",
        "b": "https://api.stepfun.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Freemium",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Apache-2.0 (SDKs)",
        "b": "Closed service under the StepFun Open Platform Terms of Service (STEPFUN TECHNOLOGY (HK) LIMITED, Hong Kong law).",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-06",
        "b": "none",
        "name": "Last release"
      },
      {
        "a": "2026-09-25",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "2026-09-03",
        "b": "",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes, with an opt-out",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "769 stars",
        "b": "none",
        "name": "Popularity"
      },
      {
        "a": "4/5 (2)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Mistral AI API scores 71.2 (BB) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category.",
        "question": "Which is better for AI agents, Mistral AI API or StepFun API?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Mistral AI API and StepFun API need an API key?"
      },
      {
        "answer": "Yes. Mistral AI API has a hosted endpoint at https://api.mistral.ai/v1 and StepFun API at https://api.stepfun.ai/v1.",
        "question": "Can an agent call Mistral AI API and StepFun API without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 50 against 28",
          "Schema \u0026 documentation, 93 against 53",
          "Agent ergonomics, 91 against 68",
          "Security \u0026 auth, 66 against 41",
          "Payments \u0026 pricing, 40 against 20",
          "Maintenance \u0026 community, 88 against 50",
          "Transparency \u0026 trust, 80 against 58"
        ],
        "also": [
          "Agent-ready, a grade of BB or better"
        ],
        "goodFor": "Teams that need EU processing, open-weight models they can later run themselves, or an API an agent can read from an OpenAPI file.",
        "slug": "mistral-api",
        "watchFor": "Labs and preview models, Large 4 among them, may train on data sent from 2026-09-25, whatever the opt-out or zero-retention setting"
      },
      {
        "aheadOn": null,
        "also": null,
        "goodFor": "Long-context agent and coding work over text, screenshots and video at a low per-token price, where a preview model is acceptable.",
        "slug": "stepfun-api",
        "watchFor": "Step 5 Preview is labelled a preview, and no release date or support commitment was found"
      }
    ],
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api.json",
        "title": "Claude API vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-stepfun-api.json",
        "title": "Claude API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-mistral-api.json",
        "title": "Antseed vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-stepfun-api.json",
        "title": "Antseed vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.json",
        "title": "BlockRun.AI vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api.json",
        "title": "BlockRun.AI vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-mistral-api.json",
        "title": "Cloudflare AI Gateway vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-stepfun-api.json",
        "title": "Cloudflare AI Gateway vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-mistral-api.json",
        "title": "Cloudflare Workers AI vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api.json",
        "title": "Cloudflare Workers AI vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-mistral-api.json",
        "title": "Cohere Chat API (Command models) vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api.json",
        "title": "Cohere Chat API (Command models) vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.json",
        "title": "DeepInfra vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api.json",
        "title": "DeepInfra vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-mistral-api.json",
        "title": "DeepSeek API vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-stepfun-api.json",
        "title": "DeepSeek API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api.json",
        "title": "Gemini Developer API vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-stepfun-api.json",
        "title": "Gemini Developer API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-mistral-api.json",
        "title": "GroqCloud vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/groq-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/groq-vs-stepfun-api.json",
        "title": "GroqCloud vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/groq-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-novita-ai.json",
        "title": "Mistral AI API vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-openai-api.json",
        "title": "Mistral AI API vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-openrouter.json",
        "title": "Mistral AI API vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.json",
        "title": "Mistral AI API vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.json",
        "title": "Mistral AI API vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow.json",
        "title": "Mistral AI API vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-stepfun-api.json",
        "title": "Novita AI vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-stepfun-api.json",
        "title": "OpenAI API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api.json",
        "title": "OpenRouter vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api.json",
        "title": "Prism Inference vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-stepfun-api.json",
        "title": "SambaCloud vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-stepfun-api.json",
        "title": "SiliconFlow vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-stepfun-api"
      }
    ],
    "scores": [
      {
        "by": 22,
        "edge": "mistral-api",
        "key": "reliability",
        "mistral-api": 50,
        "name": "Reliability",
        "stepfun-api": 28,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 40,
        "edge": "mistral-api",
        "key": "schema",
        "mistral-api": 93,
        "name": "Schema \u0026 documentation",
        "stepfun-api": 53,
        "weight": 13
      },
      {
        "by": 23,
        "edge": "mistral-api",
        "key": "ergonomics",
        "mistral-api": 91,
        "name": "Agent ergonomics",
        "stepfun-api": 68,
        "weight": 13
      },
      {
        "by": 25,
        "edge": "mistral-api",
        "key": "security",
        "mistral-api": 66,
        "name": "Security \u0026 auth",
        "stepfun-api": 41,
        "weight": 14
      },
      {
        "by": 20,
        "edge": "mistral-api",
        "key": "payments",
        "mistral-api": 40,
        "name": "Payments \u0026 pricing",
        "stepfun-api": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 38,
        "edge": "mistral-api",
        "key": "maintenance",
        "mistral-api": 88,
        "name": "Maintenance \u0026 community",
        "stepfun-api": 50,
        "weight": 7
      },
      {
        "by": 22,
        "edge": "mistral-api",
        "key": "transparency",
        "mistral-api": 80,
        "name": "Transparency \u0026 trust",
        "stepfun-api": 58,
        "weight": 7
      }
    ],
    "summary": "Mistral AI API scores 71.2 (BB) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category. Both do llm inference.",
    "verdicts": {
      "mistral-api": "Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models, Mistral Large 4 among them since 6 October, may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.",
      "stepfun-api": "StepFun's API serves Step 5 Preview with a 1M-token context, video input, strict JSON Schema output and published per-token prices, documented in Markdown with an llms.txt. The model is a preview with no release date found, there's no free allowance or SLA, and the terms and privacy policy leave room to train on customer data."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api",
    "json": "https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api.md",
    "slim": "https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api.min.md"
  },
  "markdown": "Mistral AI API scores 71.2 (BB) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category. Both do llm inference.\n\n- Mistral AI API: grade BB, 71.2/100, rank #135 of 965. Markdown https://www.anchorterminal.com/tools/mistral-api.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-api.json\n- StepFun API: grade E, 44.4/100, rank #889 of 965. Markdown https://www.anchorterminal.com/tools/stepfun-api.md · JSON https://www.anchorterminal.com/api/v1/tools/stepfun-api.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 153 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Mistral AI API (BB)\n\nGood for: Teams that need EU processing, open-weight models they can later run themselves, or an API an agent can read from an OpenAPI file.\n\nAhead on:\n- Reliability, 50 against 28\n- Schema \u0026 documentation, 93 against 53\n- Agent ergonomics, 91 against 68\n- Security \u0026 auth, 66 against 41\n- Payments \u0026 pricing, 40 against 20\n- Maintenance \u0026 community, 88 against 50\n- Transparency \u0026 trust, 80 against 58\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: Labs and preview models, Large 4 among them, may train on data sent from 2026-09-25, whatever the opt-out or zero-retention setting\n\n### StepFun API (E)\n\nGood for: Long-context agent and coding work over text, screenshots and video at a low per-token price, where a preview model is acceptable.\n\nWatch for: Step 5 Preview is labelled a preview, and no release date or support commitment was found\n\n\n## Score by category\n\n| Category | Weight | Mistral AI API | StepFun API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 28 | Mistral AI API +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 93 | 53 | Mistral AI API +40 |\n| Agent ergonomics | 13% (16.2 this run) | 91 | 68 | Mistral AI API +23 |\n| Security \u0026 auth | 14% (17.5 this run) | 66 | 41 | Mistral AI API +25 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 20 | Mistral AI API +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 88 | 50 | Mistral AI API +38 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 80 | 58 | Mistral AI API +22 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **71.2 · BB** | **44.4 · E** | |\n\n## Facts side by side\n\n| Fact | Mistral AI API | StepFun API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Mistral AI | StepFun |\n| Hosted endpoint | `https://api.mistral.ai/v1` | `https://api.stepfun.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs) | Closed service under the StepFun Open Platform Terms of Service (STEPFUN TECHNOLOGY (HK) LIMITED, Hong Kong law). |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-06 | none |\n| Terms last updated | 2026-09-25 |  |\n| Privacy policy last updated | 2026-09-03 |  |\n| Customer content may train models | yes, with an opt-out |  |\n| Terms restrict automated access | not found in the text |  |\n| Terms restrict benchmarking | yes |  |\n| Terms or service can change without notice | yes |  |\n| Arbitration or class-action waiver | not found in the text |  |\n| Popularity | 769 stars | none |\n| Agent reviews | 4/5 (2) | none |\n\n## Verdicts\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, Mistral Large 4 among them since 6 October, may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.\n\n**StepFun API.** StepFun's API serves Step 5 Preview with a 1M-token context, video input, strict JSON Schema output and published per-token prices, documented in Markdown with an llms.txt. The model is a preview with no release date found, there's no free allowance or SLA, and the terms and privacy policy leave room to train on customer data.\n\n## Before you call either\n\n### Mistral AI API\n\n1. Stay off `labs-*` and preview models, `mistral-large-4` included while it is in preview, 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### StepFun API\n\n1. Set `max_tokens` yourself. It defaults to unlimited on Step 5 Preview, and reasoning tokens are billed as output\n2. Use `response_format` with `type: json_schema` and `strict: true` when the shape matters. JSON Mode alone isn't schema-checked\n3. Back off and retry on 429, 500, 503 and 504. The docs give no Retry-After header or backoff schedule\n4. Expect HTTP 451 or `finish_reason: content_filter` when content fails StepFun's review, and don't retry the same input\n5. Use api.stepfun.ai for the international platform. api.stepfun.com is the China platform with yuan pricing\n\n## Questions\n\n### Which is better for AI agents, Mistral AI API or StepFun API?\n\nMistral AI API scores 71.2 (BB) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category.\n\n### Do Mistral AI API and StepFun API need an API key?\n\nBoth need an API key.\n\n### Can an agent call Mistral AI API and StepFun API without installing anything?\n\nYes. Mistral AI API has a hosted endpoint at https://api.mistral.ai/v1 and StepFun API at https://api.stepfun.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"mistral-api\", \"b\": \"stepfun-api\"}`. From a terminal: `anchor compare mistral-api stepfun-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/mistral-api.json and https://www.anchorterminal.com/api/v1/tools/stepfun-api.json\n\n## Other comparisons with Mistral AI API or StepFun API\n\n- [Claude API vs Mistral AI API](https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api.md)\n- [Claude API vs StepFun API](https://www.anchorterminal.com/compare/anthropic-api-vs-stepfun-api.md)\n- [Antseed vs Mistral AI API](https://www.anchorterminal.com/compare/antseed-vs-mistral-api.md)\n- [Antseed vs StepFun API](https://www.anchorterminal.com/compare/antseed-vs-stepfun-api.md)\n- [BlockRun.AI vs Mistral AI API](https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.md)\n- [BlockRun.AI vs StepFun API](https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api.md)\n- [Cloudflare AI Gateway vs Mistral AI API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-mistral-api.md)\n- [Cloudflare AI Gateway vs StepFun API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-stepfun-api.md)\n- [Cloudflare Workers AI vs Mistral AI API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-mistral-api.md)\n- [Cloudflare Workers AI vs StepFun API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api.md)\n- [Cohere Chat API (Command models) vs Mistral AI API](https://www.anchorterminal.com/compare/cohere-chat-vs-mistral-api.md)\n- [Cohere Chat API (Command models) vs StepFun API](https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api.md)\n- [DeepInfra vs Mistral AI API](https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.md)\n- [DeepInfra vs StepFun API](https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api.md)\n- [DeepSeek API vs Mistral AI API](https://www.anchorterminal.com/compare/deepseek-api-vs-mistral-api.md)\n- [DeepSeek API vs StepFun API](https://www.anchorterminal.com/compare/deepseek-api-vs-stepfun-api.md)\n- [Gemini Developer API vs Mistral AI API](https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api.md)\n- [Gemini Developer API vs StepFun API](https://www.anchorterminal.com/compare/gemini-api-vs-stepfun-api.md)\n- [GroqCloud vs Mistral AI API](https://www.anchorterminal.com/compare/groq-vs-mistral-api.md)\n- [GroqCloud vs StepFun API](https://www.anchorterminal.com/compare/groq-vs-stepfun-api.md)\n- [Mistral AI API vs Novita AI](https://www.anchorterminal.com/compare/mistral-api-vs-novita-ai.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- [Mistral AI API vs Prism Inference](https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.md)\n- [Mistral AI API vs SambaCloud](https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.md)\n- [Mistral AI API vs SiliconFlow](https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow.md)\n- [Novita AI vs StepFun API](https://www.anchorterminal.com/compare/novita-ai-vs-stepfun-api.md)\n- [OpenAI API vs StepFun API](https://www.anchorterminal.com/compare/openai-api-vs-stepfun-api.md)\n- [OpenRouter vs StepFun API](https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api.md)\n- [Prism Inference vs StepFun API](https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api.md)\n- [SambaCloud vs StepFun API](https://www.anchorterminal.com/compare/sambanova-vs-stepfun-api.md)\n- [SiliconFlow vs StepFun API](https://www.anchorterminal.com/compare/siliconflow-vs-stepfun-api.md)\n",
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