{
  "data": {
    "a": {
      "slug": "cohere-chat",
      "name": "Cohere Chat API (Command models)",
      "vendor": "Cohere",
      "vendorUrl": "https://cohere.com",
      "kind": "model",
      "category": "inference",
      "summary": "Cohere's Chat API generates text with the Command family of models over REST (v2 chat), with tool use, structured outputs, citations and streaming. SDKs cover Python, TypeScript, Java and Go.",
      "url": "https://www.anchorterminal.com/tools/cohere-chat",
      "markdownUrl": "https://www.anchorterminal.com/tools/cohere-chat.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cohere-chat.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cohere-chat.json",
      "repo": "https://github.com/cohere-ai/cohere-python",
      "license": "Proprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.cohere.com/v2/chat",
      "packages": [
        {
          "registry": "pypi",
          "name": "cohere"
        },
        {
          "registry": "npm",
          "name": "cohere-ai"
        },
        {
          "registry": "go",
          "name": "github.com/cohere-ai/cohere-go/v2"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API key from the dashboard, self-serve. A trial key is created at sign-up. A production key needs a team Owner to complete the Go to Production form and accept the SaaS agreement. Team roles are Owner and User. No key scopes or expiry were found in the docs.",
      "pricing": "freemium",
      "pricingNotes": "Trial keys are free with no card, limited to 20 chat requests a minute and 1,000 calls a month, and not for commercial use. Production keys bill per input and output token, monthly or at $250 outstanding. Current Command prices are in a script-drawn tab of cohere.com/pricing that we could not read. Production keys stay at trial limits on Command A+, Reasoning, Translate and Vision (checked 2026-10-09).",
      "priceSummary": "from $2.50 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs, the OpenAPI file or the pricing page (checked 2026-10-09).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-09"
      },
      "docsUrl": "https://docs.cohere.com/docs/chat-api",
      "rateLimitsUrl": "https://docs.cohere.com/docs/rate-limits",
      "llmsTxt": "https://docs.cohere.com/llms.txt",
      "openapi": "https://raw.githubusercontent.com/cohere-ai/cohere-developer-experience/main/cohere-openapi.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "free-tier",
        "no-card",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "python",
        "typescript",
        "java",
        "go",
        "status-page",
        "soc2",
        "bug-bounty"
      ],
      "lastRelease": "2026-09-09",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 64.7,
        "grade": "B",
        "agentReady": false,
        "rank": 346,
        "ranked": true,
        "rankOf": 965,
        "categoryRank": 11,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 72,
          "payments": 30,
          "reliability": 64,
          "schema": 84,
          "security": 57,
          "transparency": 74
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-09"
        },
        "negative": 0,
        "verdict": "A public OpenAPI file, Markdown twins of every docs page and SDKs in four languages make the Chat API easy for an agent to read. Production keys do not cover the four newest Command models, whose limits are set by sales, and the SaaS agreement lets Cohere share API data with third parties.",
        "bestFor": "Teams that want Command models for RAG with citations, tool use and multilingual work, and that may later move to a private deployment or Model Vault.",
        "strengths": [
          "Public OpenAPI 3.1 file in the docs repository, last changed 29 September 2026, and a Markdown twin of every docs page",
          "A trial key is created at sign-up with no card, limited to 20 chat requests a minute and 1,000 calls a month",
          "Official SDKs for Python, TypeScript, Java and Go, each with a release on 26 August 2026",
          "JSON Schema structured outputs, `strict_tools` (beta), citations, reasoning budgets and safety modes on the v2 chat request",
          "The trust centre lists SOC 2 Type II, ISO 27001, ISO 42001 and a bug bounty, with nine sub-processors, all in the US"
        ],
        "weaknesses": [
          "Production keys work like trial keys on Command A+, Reasoning, Translate and Vision. The docs send production use of those models to sales or to Model Vault",
          "Prices for current Command models sit in a script-drawn tab of the pricing page that we could not read. Only legacy prices appear in the page text",
          "The SaaS agreement of 8 April 2025 grants Cohere an irrevocable right to use API data to improve its services and to share it with third parties",
          "No Retry-After header, backoff guidance or idempotency key was found in the reviewed documentation",
          "The SaaS agreement forbids use of the services for benchmarking or competitive analysis. Recorded as a fact, and it matters before any probe is run"
        ],
        "agentNotes": [
          "Call `POST https://api.cohere.com/v2/chat` with `Authorization: bearer \u003ckey\u003e`. `model` and `messages` are the only required fields",
          "Use `command-a-03-2025`, `command-r-08-2024`, `command-r-plus-08-2024` or `command-r7b-12-2024` for production traffic. Newer variants stay at trial limits on a production key",
          "Keep a trial key under 20 chat requests a minute and 1,000 calls a month, and do not use it for commercial work",
          "Set `response_format` with a `json_schema` for structured output, and tell the model to produce JSON when using `json_object` without a schema",
          "Ask the account Owner to turn off training under Data Controls in the dashboard before sending confidential prompts"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 64.7
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 72,
          "payments": 30,
          "reliability": 64,
          "schema": 84,
          "security": 57,
          "transparency": 65
        },
        "provenanceScore": 83
      },
      "connect": {
        "install": "pip install cohere   # or: npm i cohere-ai",
        "http": "curl --request POST \\\n  --url https://api.cohere.ai/v2/chat \\\n  --header 'accept: application/json' \\\n  --header 'content-type: application/json' \\\n  --header \"Authorization: bearer $CO_API_KEY\" \\\n  --data '{\"model\":\"command-a-plus-05-2026\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/cohere-chat"
      },
      "sameCompany": [
        "cohere-embed",
        "cohere-north"
      ],
      "area": "models",
      "provenance": {
        "legalEntity": "Cohere Inc.",
        "domain": "cohere.com",
        "domainRegistered": "2000-03-07",
        "endpointOnVendorDomain": true,
        "terms": "https://cohere.com/saas-agreement",
        "privacy": "https://cohere.com/privacy",
        "statusPage": "https://status.cohere.com",
        "changelog": "https://docs.cohere.com/v2/changelog",
        "securityTxt": "none",
        "checked": "2026-10-09",
        "notes": [
          "The Commercial SaaS Agreement (last updated 8 April 2025) names Cohere Inc., 171 John Street, Suite 200, Toronto, Ontario, and is governed by Ontario law.",
          "The privacy policy (last updated 1 May 2026) says it does not apply to customer inputs and outputs under an enterprise agreement, which the agreement and a DPA govern. The DPA is sent on request.",
          "The OpenAPI file names https://api.cohere.com as the server and the chat guide's examples call https://api.cohere.ai. Both are Cohere's.",
          "cohere.com/.well-known/security.txt answers 404. The trust centre holds a responsible disclosure policy for the bug bounty.",
          "status.cohere.ai redirects to status.cohere.com, whose robots.txt answers 404, so the host publishes no rules.",
          "RDAP for cohere.com gives a registration date of 2000-03-07."
        ],
        "score": 83
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/cohere-chat.json",
      "live": {
        "slug": "cohere-chat",
        "probe": {
          "target": "https://api.cohere.com/v2/chat",
          "method": "get",
          "lastAt": "2026-10-12T04:37:15.03815166Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 218,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 141,
          "p95ms24h": 235,
          "samples24h": 247,
          "samples30d": 626,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 85,
              "ok": 85
            },
            {
              "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.cohere.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-12T04:32:27.837691757Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "cohere-ai/cohere-python",
            "version": "7.1.0",
            "released": "2026-08-26",
            "seenAt": "2026-10-11T19:24:05.549993488Z"
          },
          {
            "registry": "npm",
            "name": "cohere-ai",
            "version": "8.1.0",
            "seenAt": "2026-10-11T19:24:05.307725279Z"
          },
          {
            "registry": "pypi",
            "name": "cohere",
            "version": "7.2.0",
            "released": "2026-09-28",
            "seenAt": "2026-10-11T19:24:05.19242607Z"
          }
        ],
        "githubStars": 404,
        "npmWeekly": 485821,
        "pypiWeekly": 2427527,
        "securityTxt": {
          "url": "https://cohere.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-11T15:42:11.76773064Z"
        },
        "llmsTxt": {
          "url": "https://docs.cohere.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-11T14:06:21.153747709Z"
        },
        "domain": {
          "domain": "cohere.com",
          "registered": "2000-03-07",
          "source": "https://rdap.verisign.com/com/v1/domain/cohere.com",
          "checkedAt": "2026-10-11T13:24:36.495604295Z"
        },
        "pages": [
          {
            "url": "https://docs.cohere.com/v2/changelog",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-10-11T19:25:27.481634438Z",
            "changedAt": "2026-10-07T18:04:51.510283642Z",
            "fingerprint": "f82c6d389ba7"
          },
          {
            "url": "https://docs.cohere.com/docs/deprecations",
            "kind": "deprecations",
            "status": 304,
            "checkedAt": "2026-10-11T19:25:24.708466866Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "9848f1f6c54c"
          },
          {
            "url": "https://cohere.com/privacy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-10-11T19:22:46.842900512Z",
            "changedAt": "2026-10-08T18:16:32.121838469Z",
            "fingerprint": "5ed49b0909fd"
          },
          {
            "url": "https://cohere.com/saas-agreement",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-10-11T19:22:48.822791806Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "09fbf37bff61"
          }
        ],
        "models": {
          "command-r-plus-08-2024": {
            "openrouterId": "cohere/command-r-plus-08-2024",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": false,
            "input": [
              "text"
            ],
            "promptCaching": false,
            "contextTokens": 128000,
            "maxOutput": 4000,
            "checkedAt": "2026-10-11T22:59:28.731564938Z"
          }
        },
        "updatedAt": "2026-10-12T04:37:15.03815166Z"
      }
    },
    "answer": "Cohere Chat API (Command models) scores 64.7 (B) 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": "Cohere",
        "b": "StepFun",
        "name": "Vendor"
      },
      {
        "a": "https://api.cohere.com/v2/chat",
        "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": "Proprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MIT",
        "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": "2026-09-09",
        "b": "none",
        "name": "Last release"
      },
      {
        "a": "2025-04-08",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "2026-05-01",
        "b": "",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "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"
      }
    ],
    "faq": [
      {
        "answer": "Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category.",
        "question": "Which is better for AI agents, Cohere Chat API (Command models) or StepFun API?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Cohere Chat API (Command models) and StepFun API need an API key?"
      },
      {
        "answer": "Yes. Cohere Chat API (Command models) has a hosted endpoint at https://api.cohere.com/v2/chat and StepFun API at https://api.stepfun.ai/v1.",
        "question": "Can an agent call Cohere Chat API (Command models) and StepFun API without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 64 against 28",
          "Schema \u0026 documentation, 84 against 53",
          "Security \u0026 auth, 57 against 41",
          "Payments \u0026 pricing, 30 against 20",
          "Maintenance \u0026 community, 72 against 50",
          "Transparency \u0026 trust, 74 against 58"
        ],
        "also": [
          "Free to start without a card"
        ],
        "goodFor": "Teams that want Command models for RAG with citations, tool use and multilingual work, and that may later move to a private deployment or Model Vault.",
        "slug": "cohere-chat",
        "watchFor": "Production keys work like trial keys on Command A+, Reasoning, Translate and Vision. The docs send production use of those models to sales or to Model Vault"
      },
      {
        "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-cohere-chat.json",
        "title": "Claude API vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cohere-chat"
      },
      {
        "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-cohere-chat.json",
        "title": "Antseed vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-cohere-chat"
      },
      {
        "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-cohere-chat.json",
        "title": "BlockRun.AI vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat"
      },
      {
        "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-cohere-chat.json",
        "title": "Cloudflare AI Gateway vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cohere-chat"
      },
      {
        "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-cohere-chat.json",
        "title": "Cloudflare Workers AI vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat"
      },
      {
        "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-deepinfra.json",
        "title": "Cohere Chat API (Command models) vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-deepinfra"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-deepseek-api.json",
        "title": "Cohere Chat API (Command models) vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-api.json",
        "title": "Cohere Chat API (Command models) vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-groq.json",
        "title": "Cohere Chat API (Command models) vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-groq"
      },
      {
        "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-novita-ai.json",
        "title": "Cohere Chat API (Command models) vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-openai-api.json",
        "title": "Cohere Chat API (Command models) vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-openrouter.json",
        "title": "Cohere Chat API (Command models) vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.json",
        "title": "Cohere Chat API (Command models) vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-sambanova.json",
        "title": "Cohere Chat API (Command models) vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow.json",
        "title": "Cohere Chat API (Command models) vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow"
      },
      {
        "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-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-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-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-stepfun-api.json",
        "title": "Mistral AI API vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api"
      },
      {
        "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": 36,
        "cohere-chat": 64,
        "edge": "cohere-chat",
        "key": "reliability",
        "name": "Reliability",
        "stepfun-api": 28,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 31,
        "cohere-chat": 84,
        "edge": "cohere-chat",
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "stepfun-api": 53,
        "weight": 13
      },
      {
        "by": 4,
        "cohere-chat": 72,
        "edge": "cohere-chat",
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "stepfun-api": 68,
        "weight": 13
      },
      {
        "by": 16,
        "cohere-chat": 57,
        "edge": "cohere-chat",
        "key": "security",
        "name": "Security \u0026 auth",
        "stepfun-api": 41,
        "weight": 14
      },
      {
        "by": 10,
        "cohere-chat": 30,
        "edge": "cohere-chat",
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "stepfun-api": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 22,
        "cohere-chat": 72,
        "edge": "cohere-chat",
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "stepfun-api": 50,
        "weight": 7
      },
      {
        "by": 16,
        "cohere-chat": 74,
        "edge": "cohere-chat",
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "stepfun-api": 58,
        "weight": 7
      }
    ],
    "summary": "Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category. Both do llm inference.",
    "verdicts": {
      "cohere-chat": "A public OpenAPI file, Markdown twins of every docs page and SDKs in four languages make the Chat API easy for an agent to read. Production keys do not cover the four newest Command models, whose limits are set by sales, and the SaaS agreement lets Cohere share API data with third parties.",
      "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."
    }
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    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api",
    "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api.json",
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    "markdown": "https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api.md",
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  },
  "markdown": "Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category. Both do llm inference.\n\n- Cohere Chat API (Command models): grade B, 64.7/100, rank #346 of 965. Markdown https://www.anchorterminal.com/tools/cohere-chat.md · JSON https://www.anchorterminal.com/api/v1/tools/cohere-chat.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### Cohere Chat API (Command models) (B)\n\nGood for: Teams that want Command models for RAG with citations, tool use and multilingual work, and that may later move to a private deployment or Model Vault.\n\nAhead on:\n- Reliability, 64 against 28\n- Schema \u0026 documentation, 84 against 53\n- Security \u0026 auth, 57 against 41\n- Payments \u0026 pricing, 30 against 20\n- Maintenance \u0026 community, 72 against 50\n- Transparency \u0026 trust, 74 against 58\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: Production keys work like trial keys on Command A+, Reasoning, Translate and Vision. The docs send production use of those models to sales or to Model Vault\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 | Cohere Chat API (Command models) | StepFun API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 64 | 28 | Cohere Chat API (Command models) +36 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 84 | 53 | Cohere Chat API (Command models) +31 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 68 | Cohere Chat API (Command models) +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 57 | 41 | Cohere Chat API (Command models) +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 20 | Cohere Chat API (Command models) +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 72 | 50 | Cohere Chat API (Command models) +22 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 74 | 58 | Cohere Chat API (Command models) +16 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **64.7 · B** | **44.4 · E** | |\n\n## Facts side by side\n\n| Fact | Cohere Chat API (Command models) | StepFun API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Cohere | StepFun |\n| Hosted endpoint | `https://api.cohere.com/v2/chat` | `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 | Proprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MIT | 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 | 2026-09-09 | none |\n| Terms last updated | 2025-04-08 |  |\n| Privacy policy last updated | 2026-05-01 |  |\n| Customer content may train models | yes |  |\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\n## Verdicts\n\n**Cohere Chat API (Command models).** A public OpenAPI file, Markdown twins of every docs page and SDKs in four languages make the Chat API easy for an agent to read. Production keys do not cover the four newest Command models, whose limits are set by sales, and the SaaS agreement lets Cohere share API data with third parties.\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### Cohere Chat API (Command models)\n\n1. Call `POST https://api.cohere.com/v2/chat` with `Authorization: bearer \u003ckey\u003e`. `model` and `messages` are the only required fields\n2. Use `command-a-03-2025`, `command-r-08-2024`, `command-r-plus-08-2024` or `command-r7b-12-2024` for production traffic. Newer variants stay at trial limits on a production key\n3. Keep a trial key under 20 chat requests a minute and 1,000 calls a month, and do not use it for commercial work\n4. Set `response_format` with a `json_schema` for structured output, and tell the model to produce JSON when using `json_object` without a schema\n5. Ask the account Owner to turn off training under Data Controls in the dashboard before sending confidential prompts\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, Cohere Chat API (Command models) or StepFun API?\n\nCohere Chat API (Command models) scores 64.7 (B) on agent readiness against StepFun API's 44.4 (E), and leads in every scored category.\n\n### Do Cohere Chat API (Command models) and StepFun API need an API key?\n\nBoth need an API key.\n\n### Can an agent call Cohere Chat API (Command models) and StepFun API without installing anything?\n\nYes. Cohere Chat API (Command models) has a hosted endpoint at https://api.cohere.com/v2/chat 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/cohere-chat-vs-stepfun-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cohere-chat\", \"b\": \"stepfun-api\"}`. From a terminal: `anchor compare cohere-chat stepfun-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cohere-chat.json and https://www.anchorterminal.com/api/v1/tools/stepfun-api.json\n\n## Other comparisons with Cohere Chat API (Command models) or StepFun API\n\n- [Claude API vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/anthropic-api-vs-cohere-chat.md)\n- [Claude API vs StepFun API](https://www.anchorterminal.com/compare/anthropic-api-vs-stepfun-api.md)\n- [Antseed vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/antseed-vs-cohere-chat.md)\n- [Antseed vs StepFun API](https://www.anchorterminal.com/compare/antseed-vs-stepfun-api.md)\n- [BlockRun.AI vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/blockrun-ai-vs-cohere-chat.md)\n- [BlockRun.AI vs StepFun API](https://www.anchorterminal.com/compare/blockrun-ai-vs-stepfun-api.md)\n- [Cloudflare AI Gateway vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cohere-chat.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 Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat.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 DeepInfra](https://www.anchorterminal.com/compare/cohere-chat-vs-deepinfra.md)\n- [Cohere Chat API (Command models) vs DeepSeek API](https://www.anchorterminal.com/compare/cohere-chat-vs-deepseek-api.md)\n- [Cohere Chat API (Command models) vs Gemini Developer API](https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-api.md)\n- [Cohere Chat API (Command models) vs GroqCloud](https://www.anchorterminal.com/compare/cohere-chat-vs-groq.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 Novita AI](https://www.anchorterminal.com/compare/cohere-chat-vs-novita-ai.md)\n- [Cohere Chat API (Command models) vs OpenAI API](https://www.anchorterminal.com/compare/cohere-chat-vs-openai-api.md)\n- [Cohere Chat API (Command models) vs OpenRouter](https://www.anchorterminal.com/compare/cohere-chat-vs-openrouter.md)\n- [Cohere Chat API (Command models) vs Prism Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.md)\n- [Cohere Chat API (Command models) vs SambaCloud](https://www.anchorterminal.com/compare/cohere-chat-vs-sambanova.md)\n- [Cohere Chat API (Command models) vs SiliconFlow](https://www.anchorterminal.com/compare/cohere-chat-vs-siliconflow.md)\n- [DeepInfra vs StepFun API](https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api.md)\n- [DeepSeek API vs StepFun API](https://www.anchorterminal.com/compare/deepseek-api-vs-stepfun-api.md)\n- [Gemini Developer API vs StepFun API](https://www.anchorterminal.com/compare/gemini-api-vs-stepfun-api.md)\n- [GroqCloud vs StepFun API](https://www.anchorterminal.com/compare/groq-vs-stepfun-api.md)\n- [Mistral AI API vs StepFun API](https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api.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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    "runLabel": "October 2026 research run"
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      {
        "name": "Cohere Chat API (Command models) vs StepFun API",
        "url": ""
      }
    ],
    "description": "Cohere Chat scores 64.7 (B) to StepFun's 44.4 (E) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.",
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      "Cohere Chat API (Command models) B 64.7",
      "StepFun API E 44.4",
      "scores"
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    "h1": "Cohere Chat API (Command models) vs StepFun API",
    "image": "https://www.anchorterminal.com/assets/og/compare-cohere-chat-vs-stepfun-api.png",
    "path": "/compare/cohere-chat-vs-stepfun-api",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Cohere Chat vs StepFun for AI agents in 2026: scores and prices",
    "toc": null,
    "updated": "2026-10-12",
    "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api"
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