{
  "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",
      "dns": "cohere-chat.grade.anchorterminal.com",
      "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. The pricing page lists Command R at $0.15 and $0.60 and Command R7B at $0.0375 and $0.15 per million input and output tokens, Command R+ 08-2024 at $2.50 and $10.00 among legacy prices, and Command A+ as free. No price is published for Command A, Reasoning, Vision or Translate. Production keys stay at trial limits on Command A+, Reasoning, Translate and Vision (checked 2026-11-02).",
      "priceSummary": "from $0.0375 / 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": 65.6,
        "grade": "B",
        "agentReady": false,
        "rank": 372,
        "ranked": true,
        "rankOf": 1354,
        "categoryRank": 13,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 72,
          "payments": 35,
          "reliability": 67,
          "schema": 84,
          "security": 55,
          "transparency": 75
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-02"
        },
        "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 and prices 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 and Go, each tagged on 21 October 2026, and Java 1.12.0",
          "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",
          "The pricing page lists per-token prices for Command R, R7B and R+ only. Command A, Reasoning, Vision and Translate have no published price",
          "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, and only the R models have published prices",
          "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": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 65.6
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 72,
          "payments": 35,
          "reliability": 67,
          "schema": 84,
          "security": 55,
          "transparency": 66
        },
        "provenanceScore": 84,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-02",
            "maintenance": "2026-11-02",
            "payments": "2026-11-02",
            "reliability": "2026-11-02",
            "schema": "2026-11-02",
            "security": "2026-11-02",
            "transparency": "2026-11-02"
          },
          "last": "2026-11-02",
          "lastMoved": "2026-11-02",
          "oldest": "2026-11-02",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "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-transcribe-03-2026",
        "cohere-north"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "Command R input",
          "unit": "1m-tokens",
          "usd": 0.15
        },
        {
          "item": "Command R output",
          "unit": "1m-tokens",
          "usd": 0.6
        },
        {
          "item": "Command R7B input",
          "unit": "1m-tokens",
          "usd": 0.0375
        },
        {
          "item": "Command R7B output",
          "unit": "1m-tokens",
          "usd": 0.15
        },
        {
          "item": "Command R+ 08-2024 input",
          "unit": "1m-tokens",
          "usd": 2.5,
          "note": "Listed among legacy prices"
        },
        {
          "item": "Command R+ 08-2024 output",
          "unit": "1m-tokens",
          "usd": 10,
          "note": "Listed among legacy prices"
        }
      ],
      "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": 84
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/cohere-chat.json",
      "live": {
        "slug": "cohere-chat",
        "probe": {
          "target": "https://api.cohere.com/v2/chat",
          "method": "get",
          "lastAt": "2026-11-06T09:47:23.493800695Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 161,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 148,
          "p95ms24h": 238,
          "samples24h": 221,
          "samples30d": 6879,
          "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": 247,
              "ok": 247
            },
            {
              "date": "2026-10-13",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-14",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-15",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-16",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-17",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-18",
              "probes": 256,
              "ok": 256
            },
            {
              "date": "2026-10-19",
              "probes": 255,
              "ok": 255
            },
            {
              "date": "2026-10-20",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-21",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-22",
              "probes": 253,
              "ok": 253
            },
            {
              "date": "2026-10-23",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-24",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-25",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-10-26",
              "probes": 252,
              "ok": 252
            },
            {
              "date": "2026-10-27",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-28",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-10-29",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-10-30",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-31",
              "probes": 251,
              "ok": 251
            },
            {
              "date": "2026-11-01",
              "probes": 249,
              "ok": 249
            },
            {
              "date": "2026-11-02",
              "probes": 250,
              "ok": 250
            },
            {
              "date": "2026-11-03",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-11-04",
              "probes": 246,
              "ok": 246
            },
            {
              "date": "2026-11-05",
              "probes": 185,
              "ok": 185
            },
            {
              "date": "2026-11-06",
              "probes": 102,
              "ok": 102
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.cohere.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-11-06T09:42:52.203890762Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "cohere-ai/cohere-python",
            "version": "7.3.2",
            "released": "2026-11-04",
            "seenAt": "2026-11-05T21:22:11.423257605Z"
          },
          {
            "registry": "npm",
            "name": "cohere-ai",
            "version": "8.3.1",
            "seenAt": "2026-11-05T21:22:11.007217245Z"
          },
          {
            "registry": "pypi",
            "name": "cohere",
            "version": "7.3.1",
            "released": "2026-11-04",
            "seenAt": "2026-11-05T21:22:10.878054072Z"
          }
        ],
        "githubStars": 407,
        "npmWeekly": 669402,
        "pypiWeekly": 2552567,
        "securityTxt": {
          "url": "https://cohere.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-05T15:55:42.69225587Z"
        },
        "llmsTxt": {
          "url": "https://docs.cohere.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-05T15:25:42.315153035Z"
        },
        "domain": {
          "domain": "cohere.com",
          "registered": "2000-03-07",
          "source": "https://rdap.verisign.com/com/v1/domain/cohere.com",
          "checkedAt": "2026-11-01T14:17:56.515021491Z"
        },
        "pages": [
          {
            "url": "https://docs.cohere.com/v2/changelog",
            "kind": "changelog",
            "status": 304,
            "checkedAt": "2026-11-05T12:51:57.52214927Z",
            "changedAt": "2026-11-05T12:29:46.428343553Z",
            "fingerprint": "de6e890a268c"
          },
          {
            "url": "https://docs.cohere.com/docs/deprecations",
            "kind": "deprecations",
            "status": 304,
            "checkedAt": "2026-11-05T12:51:55.535802685Z",
            "changedAt": "2026-11-05T12:29:44.384806051Z",
            "fingerprint": "a4d483f2b397"
          },
          {
            "url": "https://cohere.com/privacy",
            "kind": "privacy",
            "status": 304,
            "checkedAt": "2026-11-05T12:48:28.572824564Z",
            "changedAt": "2026-10-28T04:11:04.49728025Z",
            "fingerprint": "a410067e4d8d"
          },
          {
            "url": "https://cohere.com/saas-agreement",
            "kind": "terms",
            "status": 304,
            "checkedAt": "2026-11-05T12:48:30.561734186Z",
            "changedAt": "2026-10-28T04:11:07.209530426Z",
            "fingerprint": "9af35cc4e92c"
          }
        ],
        "models": {
          "command-r-08-2024": {
            "openrouterId": "cohere/command-r-08-2024",
            "tools": true,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": false,
            "input": [
              "text"
            ],
            "promptCaching": false,
            "contextTokens": 128000,
            "maxOutput": 4000,
            "checkedAt": "2026-11-05T23:49:24.366022811Z"
          },
          "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": "2026-11-05T23:49:24.366022811Z"
          },
          "command-r7b-12-2024": {
            "openrouterId": "cohere/command-r7b-12-2024",
            "tools": false,
            "structuredOutputs": true,
            "jsonMode": true,
            "reasoning": false,
            "input": [
              "text"
            ],
            "promptCaching": false,
            "contextTokens": 128000,
            "maxOutput": 4000,
            "checkedAt": "2026-11-05T23:49:24.366022811Z"
          }
        },
        "github": {
          "repo": "cohere-ai/cohere-python",
          "checkedAt": "2026-11-02T08:40:26.40131968Z",
          "stars": 407,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-10-27T15:54:03Z",
          "openIssues": 0,
          "openPRs": 19,
          "issuesOpened90d": 10,
          "issuesClosed90d": 10,
          "prsMerged90d": 7,
          "ci": {
            "branch": "main",
            "runs": 43,
            "success": 34,
            "failure": 9,
            "other": 0,
            "latest": "failure",
            "latestAt": "2026-10-27T16:05:54Z"
          },
          "replies": {
            "sampled": 25,
            "unanswered": 0,
            "medianDays": 9.2
          }
        },
        "updatedAt": "2026-11-06T09:47:23.493800695Z"
      }
    },
    "answer": "Cohere Chat API (Command models) scores 65.6 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 5 of 7 scored categories.",
    "b": {
      "slug": "inkling-2-small",
      "name": "Inkling 2 Small",
      "vendor": "Thinking Machines Lab",
      "vendorUrl": "https://thinkingmachines.ai",
      "kind": "model",
      "category": "inference",
      "summary": "Inkling 2 Small is Thinking Machines Lab's mixture-of-experts model, 594B total and 17B active parameters, taking text and images and returning text. It runs on Tinker for inference and fine-tuning, with open weights promised.",
      "url": "https://www.anchorterminal.com/tools/inkling-2-small",
      "markdownUrl": "https://www.anchorterminal.com/tools/inkling-2-small.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/inkling-2-small.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json",
      "dns": "inkling-2-small.grade.anchorterminal.com",
      "license": "Proprietary for now, used through Tinker under the Tinker Terms of Use and Thinking Machines' Model Acceptable Use Policy, per the model card. Thinking Machines says it will publish the weights under Apache 2.0 the week after launch, once outside safety testing is done",
      "transports": [],
      "remoteUrl": "https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1",
      "packages": [],
      "auth": "api-key",
      "authNotes": "A Tinker API key from the Tinker console, read from TINKER_API_KEY and passed as the OpenAI client's api_key on the OpenAI-compatible endpoint, or used by the Tinker Python SDK. Sign-up is a browser flow at auth.thinkingmachines.ai, and the quickstart asks for payment details in Billing before training, per the tinker listing.",
      "pricing": "usage",
      "pricingNotes": "Serverless inference (beta) is $0.30 per million input tokens, $0.03 cached and $1.00 output, at 256K context. On the training side prefill is the same $0.30, sampling $1.00, and training $1.50 per million at 64K or $3.00 at 256K. No free tier is listed (checked 2026-11-06).",
      "priceSummary": "Pay per use",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 on Tinker's models and pricing page or its OpenAI-compatible API page, and Tinker bills against an account with payment details (checked 2026-11-06).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-11-06"
      },
      "docsUrl": "https://thinkingmachines.ai/model-card/inkling-2-small/",
      "llmsTxt": "https://tinker-docs.thinkingmachines.ai/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "moe",
        "multimodal",
        "vision",
        "reasoning",
        "openai-compatible",
        "usage-priced",
        "card-required",
        "beta",
        "llms-txt",
        "new"
      ],
      "lastRelease": "2026-11-05",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 52.1,
        "grade": "D",
        "agentReady": false,
        "rank": 899,
        "ranked": true,
        "rankOf": 1354,
        "categoryRank": 28,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 62,
          "maintenance": 75,
          "payments": 20,
          "reliability": 30,
          "schema": 70,
          "security": 57,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-06"
        },
        "negative": 0,
        "verdict": "A new multimodal mixture-of-experts model from Thinking Machines, callable today through Tinker's OpenAI-compatible endpoint at $0.30 and $1.00 per million tokens, with strong vendor-reported coding and agent scores. Tinker's serverless inference is beta, with no status page or SLA, and the weights aren't public yet.",
        "bestFor": "Developers who want a capable multimodal open-family model through an OpenAI-compatible API today, or to fine-tune it on Tinker, and who can live with a beta surface until the weights are published.",
        "strengths": [
          "OpenAI-compatible chat and completions endpoint, so the OpenAI SDKs work with a Tinker key",
          "$0.30 input, $0.03 cached and $1.00 output per million tokens, published without a login",
          "Text and image input, a 256K context on Tinker and up to 1M per the model card",
          "reasoning_effort from none to xhigh or a number, with reasoning returned separately",
          "A model card with intended use, limitations, training data sources and safety testing that includes outside red-teaming",
          "Thinking Machines says Apache 2.0 weights follow a week after launch"
        ],
        "weaknesses": [
          "Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput",
          "No status page, SLA or published rate limits for serverless inference",
          "Tool-calling format and structured output aren't documented for this model",
          "No free tier, and sign-up is a browser flow with payment details",
          "Benchmark results are Thinking Machines' own, with no independent results yet"
        ],
        "agentNotes": [
          "Call https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 with an OpenAI client and TINKER_API_KEY, using /chat/completions",
          "The serverless model ID is thinkingmachines/Inkling-2-Small:peft:262144:sampling-nvfp4, per Tinker's pricing page. The OpenAI page's examples use your own checkpoint paths, so confirm it before relying on it",
          "Pass reasoning_effort as none to xhigh or 0.0 to 0.99 (default 0.9); reasoning arrives in reasoning_content unless separate_reasoning is false",
          "Keep images between 40 and 4096 px a side, per the model card",
          "Validate JSON yourself, since structured output and the tool-call format aren't documented",
          "Plan for a move to open weights. When they publish, the open-weights listing will carry sizes and runtimes"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "D",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 52.1
          }
        ],
        "editorialScores": {
          "ergonomics": 62,
          "maintenance": 75,
          "payments": 20,
          "reliability": 30,
          "schema": 70,
          "security": 57,
          "transparency": 60
        },
        "provenanceScore": 68,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-06",
            "maintenance": "2026-11-06",
            "payments": "2026-11-06",
            "reliability": "2026-11-06",
            "schema": "2026-11-06",
            "security": "2026-11-06",
            "transparency": "2026-11-06"
          },
          "last": "2026-11-06",
          "oldest": "2026-11-06",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "http": "curl https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1/chat/completions \\\n  -H \"Authorization: Bearer $TINKER_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\n    \"model\": \"thinkingmachines/Inkling-2-Small:peft:262144:sampling-nvfp4\",\n    \"messages\": [{\"role\": \"user\", \"content\": \"Hello!\"}],\n    \"reasoning_effort\": \"low\"\n  }'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/inkling-2-small"
      },
      "sameCompany": [
        "inkling",
        "inkling-small"
      ],
      "sameModel": [
        "tinker"
      ],
      "area": "models",
      "provenance": {
        "legalEntity": "Thinking Machines Lab, Inc. (named as provider on the model card)",
        "domain": "thinkingmachines.ai",
        "domainRegistered": "",
        "domainNote": "Not looked up: RDAP isn't requested under the 1 November 2026 rules.",
        "endpointOnVendorDomain": true,
        "terms": "https://thinkingmachines.ai/legal/terms/",
        "privacy": "https://thinkingmachines.ai/legal/privacy/",
        "statusPage": "",
        "changelog": "https://tinker-docs.thinkingmachines.ai/changelog/",
        "securityTxt": "valid",
        "checked": "2026-11-06",
        "notes": [
          "The launch post and model card are on thinkingmachines.ai and name Thinking Machines Lab, Inc. as provider. The OpenAI-compatible endpoint is on thinkingmachines.dev, which Tinker's own docs give as the production base URL, so it's read as a domain the vendor controls; its registration wasn't looked up.",
          "Thinking Machines' terms bar scraping the Services, which the 4 November re-check read as a ban and paused. The founder decided on 6 November 2026 that reading at a person's pace is fine, so four pages were read one at a time: the launch post, the model card, the models and pricing page and the OpenAI-compatible API page. tinker-docs.thinkingmachines.ai has no robots.txt; thinkingmachines.ai's has no rules.",
          "security.txt lists security-reports@thinkingmachines.ai and expires 2029-07-13, per the 2 November reading.",
          "No status page was found."
        ],
        "score": 68
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/inkling-2-small.json",
      "live": {
        "slug": "inkling-2-small",
        "probe": {
          "target": "https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1",
          "method": "get",
          "lastAt": "2026-11-06T09:47:32.967989265Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 389,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 398,
          "p95ms24h": 429,
          "samples24h": 47,
          "samples30d": 47,
          "days": [
            {
              "date": "2026-11-06",
              "probes": 47,
              "ok": 47
            }
          ]
        },
        "updatedAt": "2026-11-06T09:47:32.967989265Z"
      }
    },
    "edges": [
      {
        "by": 37,
        "category": "reliability",
        "leads": "cohere-chat",
        "name": "Reliability",
        "reasons": {
          "a": "Hosted lines. status.cohere.com (incident.io) lists each Command model and the endpoints as components (20). Its feed, read on 2 November 2026, shows two incidents in the 90 days from 4 August. 'Multiple Endpoint Disruptions' on 1 September 2026, from 15:41 to 19:47 UTC, degraded the embeddings endpoint, embed-v4.0, two rerank models and `command-a-reasoning-08-2025` during a Google Cloud outage, rated minor and partial, and docs loading failed on 5 August. Nothing has been posted since 1 September, so minor incidents only (20). Chat limits are published per model, 20 requests a minute and 1,000 calls a month on a trial key and 500 a minute on a production key for Command A, R, R+ and R7B, while the four newest variants say contact sales (12 of 15). The errors page documents 429 with example messages that say to wait and try again later and links to the rate limits, with no Retry-After header, backoff timing or idempotency key, the reading cohere-embed takes of the same page (8 of 15). cohere.com/slo is titled Service Level Objective and its text is script-drawn, so it was unread and scores as absent (0). The v2 chat endpoint is the default docs version, but the sample response on the chat guide still carries `is_experimental` and the newest models are not open to production keys (7 of 10).",
          "b": "Model reading, for the surface it's called on, Tinker's serverless inference and OpenAI-compatible API. No status page found, per the tinker listing's checks of 1 October and 4 November (0), so no readable incident history (5). The only published limit is the in-flight sample cap of 2,000, per the tinker listing's 1 October check; the OpenAI-compatible page gives no numbers and says higher or more stable throughput needs the waitlist (10). The SDK retries sampling with stable request IDs, per the tinker listing's reading of the SDK repository; the OpenAI-compatible page has no retry guidance (15). No SLA found (0). Serverless inference is 'currently in beta' on the models and pricing page and the OpenAI-compatible API is labelled Beta, read 6 November (0). 0 + 5 + 10 + 15 + 0 + 0 = 30."
        },
        "scores": {
          "a": 67,
          "b": 30
        }
      },
      {
        "by": 15,
        "category": "payments",
        "leads": "cohere-chat",
        "name": "Payments \u0026 pricing",
        "reasons": {
          "a": "No x402, MPP or L402 in the docs, the OpenAPI file or the pricing page (0). The docs say Command models are billed per input and output token. The pricing page, read on 2 November 2026, now carries per-unit prices in its own page data, Command R at $0.15 input and $0.60 output and Command R7B at $0.0375 and $0.15 per million tokens, with Command R+ 08-2024 at $2.50 and $10.00 among legacy prices and Command A+ shown as free. No price is published for Command A, Reasoning, Vision or Translate, so the line takes 15 rather than the full 20 (15 of 20). A trial key is created at sign-up and is free with no card (20). Sign-up is in a browser, and a production key needs an Owner to complete a Go to Production form (0).",
          "b": "Published rubric. No payment protocol (0). Per-million-token prices for serverless inference and training published without a login on 6 November (20). No free tier listed, and the quickstart asks for payment details before training, per the tinker listing (0). Sign-up is a browser flow (0). 0 + 20 + 0 + 0 = 20."
        },
        "scores": {
          "a": 35,
          "b": 20
        }
      },
      {
        "by": 14,
        "category": "schema",
        "leads": "cohere-chat",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "Model reading. Public OpenAPI 3.1 file `cohere-openapi.yaml` in cohere-ai/cohere-developer-experience, 43 operations, last changed 29 September 2026 (25). docs.cohere.com/llms.txt and a Markdown twin of every page by adding `.md`, though the llms.txt files list no pages (8 of 10). The v2 chat operation describes each of its 21 request fields with defaults and limits, and says less about when to prefer one option (16 of 20). Enums on `tool_choice`, `safety_mode` and `thinking.type`, numeric bounds on `temperature`, `k`, `p` and `priority`, with penalties bounded only in prose (12 of 15). Eight request examples on the operation and an errors page with sample messages for each status code, with error bodies carrying a message and no machine code (12 of 15). v1 and v2 live side by side in the path and the changelog is dated, but the OpenAPI file is version 1.0 throughout and its changes are committed as 'Add spec changes' with no per-change note (11 of 15).",
          "b": "Model reading. No OpenAPI file of its own; the OpenAI-compatible chat and completions endpoints and the typed Python SDK are the contract, as the tinker listing reads it (15). llms.txt on the docs host, per the tinker listing's 1 October check (10). The model card states intended use (agentic and tool-use systems, coding assistants, chatbots, RAG), inputs, outputs and limitations, and the launch post its benchmarks (16 of 20). Model IDs, context lengths and the reasoning_effort values (none to xhigh, or 0.0 to 0.99) are documented; the tool-call format and structured output aren't, for this model (8 of 15). A Python example and an HTTP 400 for models without reasoning_effort, with no error page (6 of 15). A dated Tinker changelog and a model deprecations page, per the tinker listing (15). 15 + 10 + 16 + 8 + 6 + 15 = 70."
        },
        "scores": {
          "a": 84,
          "b": 70
        }
      },
      {
        "by": 11,
        "category": "transparency",
        "leads": "cohere-chat",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "Closed service under a published SaaS agreement, MIT SDKs, and the docs say Command A+ weights are on Hugging Face under Apache 2.0, which we did not open (15 of 30). The Enterprise Data Commitments (5 December 2025) and the privacy policy (1 May 2026) agree on 30-day retention and a training opt-out. The SaaS agreement (8 April 2025) does not mention the opt-out and grants an irrevocable right to use and share API data, and the DPA is sent on request (16 of 30). Deprecations page with dated history back to 2024 and lifecycle terms, no minimum notice, and nothing newer than 4 April 2026 on 2 November, read at 15 as cohere-embed reads the same page (15 of 20). The trust centre names nine sub-processors with a location for each, all in the US, and Google Cloud US-Central as the data location, read at 20 as cohere-embed reads the same list (20 of 20).",
          "b": "Editorial half. Closed for now under the Tinker Terms of Use and the Model Acceptable Use Policy, per the model card, with Apache 2.0 weights promised the week after launch (15). Terms commit not to use Customer Content for training, keep it only as needed, with a DPA and deletion on request; the privacy notice wasn't re-read, per the tinker listing (15). Dated deprecation notices with no stated period (15). The DPA annex names Google Cloud, Cloudflare, WorkOS and OpenAI with service and location (15). 15 + 15 + 15 + 15 = 60."
        },
        "scores": {
          "a": 75,
          "b": 64
        }
      },
      {
        "by": 10,
        "category": "ergonomics",
        "leads": "cohere-chat",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Model reading. Function calling with `tool_choice` REQUIRED or NONE and `strict_tools`, which the reference marks beta (17 of 20). `response_format` takes `json_object` or a JSON Schema, with limits documented and no support in RAG mode (13 of 15). The usage object reports `cached_tokens`, and no guide or price for prompt caching was found (5 of 15). Context is 256,000 tokens on Command A and Command A Reasoning and 128,000 on Command A+ (10 of 15). `/v2/batches` runs a batch from an uploaded dataset, with no price or discount found (6 of 10). Official SDKs for Python, TypeScript, Java and Go (10). Error messages are specific and readable, with no stable error codes (11 of 15).",
          "b": "Model reading (tool use, structured output, caching, context, batch, SDKs). A 256K served context, max_tokens and a priced cache at $0.03 per million; tool use isn't documented for this model (15 of 25). Output-size controls through max_tokens, reasoning_effort and separate_reasoning (15 of 20). One documented error, the 400 for unsupported reasoning_effort (5 of 20). Stable request IDs make SDK sampling retries safe, per the tinker listing (15 of 20). OpenAI's SDKs work against the endpoint, with Tinker's Python SDK besides, and reasoning defaults to 0.9 (12 of 15). 15 + 15 + 5 + 15 + 12 = 62."
        },
        "scores": {
          "a": 72,
          "b": 62
        }
      }
    ],
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Cohere",
        "b": "Thinking Machines Lab",
        "name": "Vendor"
      },
      {
        "a": "https://api.cohere.com/v2/chat",
        "b": "https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "",
        "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": "Proprietary for now, used through Tinker under the Tinker Terms of Use and Thinking Machines' Model Acceptable Use Policy, per the model card. Thinking Machines says it will publish the weights under Apache 2.0 the week after launch, once outside safety testing is done",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-09-09",
        "b": "2026-11-05",
        "name": "Last release"
      },
      {
        "a": "2025-04-08",
        "b": "not read yet",
        "name": "Terms last updated"
      },
      {
        "a": "2026-05-01",
        "b": "not read yet",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "not read yet",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "not read yet",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "not read yet",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "not read yet",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "not read yet",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "3/5 (4)",
        "b": "none",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Cohere Chat API (Command models) scores 65.6 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 5 of 7 scored categories.",
        "question": "Which is better for AI agents, Cohere Chat API (Command models) or Inkling 2 Small?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Cohere Chat API (Command models) and Inkling 2 Small need an API key?"
      },
      {
        "answer": "Yes. Cohere Chat API (Command models) has a hosted endpoint at https://api.cohere.com/v2/chat and Inkling 2 Small at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1.",
        "question": "Can an agent call Cohere Chat API (Command models) and Inkling 2 Small without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 67 against 30",
          "Schema \u0026 documentation, 84 against 70",
          "Agent ergonomics, 72 against 62",
          "Payments \u0026 pricing, 35 against 20",
          "Transparency \u0026 trust, 75 against 64"
        ],
        "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": "Developers who want a capable multimodal open-family model through an OpenAI-compatible API today, or to fine-tune it on Tinker, and who can live with a beta surface until the weights are published.",
        "slug": "inkling-2-small",
        "watchFor": "Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput"
      }
    ],
    "history": {
      "cohere-chat": [
        {
          "causes": [
            "evidence",
            "correction"
          ],
          "date": "2026-11-02",
          "delta": 0.9,
          "from": 64.7,
          "fromGrade": "B",
          "to": 65.6,
          "toGrade": "B"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-28",
          "delta": 0,
          "from": 64.7,
          "fromGrade": "B",
          "to": 64.7,
          "toGrade": "B"
        }
      ],
      "inkling-2-small": null
    },
    "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-inkling-2-small.json",
        "title": "Claude API vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small"
      },
      {
        "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-inkling-2-small.json",
        "title": "Antseed vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-inkling-2-small"
      },
      {
        "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-inkling-2-small.json",
        "title": "BlockRun.AI vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-inkling-2-small"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat.json",
        "title": "Cerebras Inference vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-inkling-2-small.json",
        "title": "Cerebras Inference vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-inkling-2-small"
      },
      {
        "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-inkling-2-small.json",
        "title": "Cloudflare AI Gateway vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-inkling-2-small"
      },
      {
        "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-inkling-2-small.json",
        "title": "Cloudflare Workers AI vs Inkling 2 Small",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small"
      },
      {
        "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-elorian-glimpse.json",
        "title": "Cohere Chat API (Command models) vs Glimpse",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-elorian-glimpse"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-fireworks-inference.json",
        "title": "Cohere Chat API (Command models) vs Fireworks AI Inference",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-fireworks-inference"
      },
      {
        "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-jais-3.json",
        "title": "Cohere Chat API (Command models) vs Jais 3",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-jais-3"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.json",
        "title": "Cohere Chat API (Command models) vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-minimax-api.json",
        "title": "Cohere Chat API (Command models) vs MiniMax API",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-minimax-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-mistral-api.json",
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        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-mistral-api"
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        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-muse-spark-open.json",
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        "title": "Cohere Chat API (Command models) vs Nemotron 3.5 Super VL",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-nemotron-3-5-super-vl"
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        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-novita-ai.json",
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        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-novita-ai"
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        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-openrouter.json",
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        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api.json",
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        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-stepfun-api"
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        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-together-inference.json",
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        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-vercel-ai-gateway"
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        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small.json",
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        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-inkling-2-small"
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        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-inkling-2-small.json",
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        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-inkling-2-small"
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        "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-inkling-2-small.json",
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        "json": "https://www.anchorterminal.com/compare/gemini-api-vs-inkling-2-small.json",
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-meta-model-api.json",
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        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-meta-model-api"
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        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-super-vl"
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-novita-ai.json",
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        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-novita-ai"
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        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-openrouter"
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-prism-inference.json",
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        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-siliconflow"
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-tencent-tokenhub.json",
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        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-tencent-tokenhub"
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        "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-together-inference.json",
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        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-together-inference"
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    "panel": null,
    "scores": [
      {
        "by": 37,
        "cohere-chat": 67,
        "edge": "cohere-chat",
        "inkling-2-small": 30,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 14,
        "cohere-chat": 84,
        "edge": "cohere-chat",
        "inkling-2-small": 70,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 10,
        "cohere-chat": 72,
        "edge": "cohere-chat",
        "inkling-2-small": 62,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 2,
        "cohere-chat": 55,
        "edge": "inkling-2-small",
        "inkling-2-small": 57,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 15,
        "cohere-chat": 35,
        "edge": "cohere-chat",
        "inkling-2-small": 20,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 3,
        "cohere-chat": 72,
        "edge": "inkling-2-small",
        "inkling-2-small": 75,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 11,
        "cohere-chat": 75,
        "edge": "cohere-chat",
        "inkling-2-small": 64,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Cohere Chat API (Command models) scores 65.6 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 5 of 7 scored categories. Both do llm inference.",
    "tasks": null,
    "tutorials": [],
    "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 and prices are set by sales, and the SaaS agreement lets Cohere share API data with third parties.",
      "inkling-2-small": "A new multimodal mixture-of-experts model from Thinking Machines, callable today through Tinker's OpenAI-compatible endpoint at $0.30 and $1.00 per million tokens, with strong vendor-reported coding and agent scores. Tinker's serverless inference is beta, with no status page or SLA, and the weights aren't public yet."
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  "markdown": "Cohere Chat API (Command models) scores 65.6 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 5 of 7 scored categories. Both do llm inference.\n\n- Cohere Chat API (Command models): grade B, 65.6/100, rank #372 of 1354. Markdown https://www.anchorterminal.com/tools/cohere-chat.md · JSON https://www.anchorterminal.com/api/v1/tools/cohere-chat.json\n- Inkling 2 Small: grade D, 52.1/100, rank #899 of 1354. Markdown https://www.anchorterminal.com/tools/inkling-2-small.md · JSON https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 596 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, 67 against 30\n- Schema \u0026 documentation, 84 against 70\n- Agent ergonomics, 72 against 62\n- Payments \u0026 pricing, 35 against 20\n- Transparency \u0026 trust, 75 against 64\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### Inkling 2 Small (D)\n\nGood for: Developers who want a capable multimodal open-family model through an OpenAI-compatible API today, or to fine-tune it on Tinker, and who can live with a beta surface until the weights are published.\n\nWatch for: Serverless inference and the OpenAI-compatible API are both labelled beta, with a waitlist for higher throughput\n\n\n## Why the edge\n\n### Reliability: Cohere Chat API (Command models) +37\n\n- Cohere Chat API (Command models) (67): Hosted lines. status.cohere.com (incident.io) lists each Command model and the endpoints as components (20). Its feed, read on 2 November 2026, shows two incidents in the 90 days from 4 August. 'Multiple Endpoint Disruptions' on 1 September 2026, from 15:41 to 19:47 UTC, degraded the embeddings endpoint, embed-v4.0, two rerank models and `command-a-reasoning-08-2025` during a Google Cloud outage, rated minor and partial, and docs loading failed on 5 August. Nothing has been posted since 1 September, so minor incidents only (20). Chat limits are published per model, 20 requests a minute and 1,000 calls a month on a trial key and 500 a minute on a production key for Command A, R, R+ and R7B, while the four newest variants say contact sales (12 of 15). The errors page documents 429 with example messages that say to wait and try again later and links to the rate limits, with no Retry-After header, backoff timing or idempotency key, the reading cohere-embed takes of the same page (8 of 15). cohere.com/slo is titled Service Level Objective and its text is script-drawn, so it was unread and scores as absent (0). The v2 chat endpoint is the default docs version, but the sample response on the chat guide still carries `is_experimental` and the newest models are not open to production keys (7 of 10).\n- Inkling 2 Small (30): Model reading, for the surface it's called on, Tinker's serverless inference and OpenAI-compatible API. No status page found, per the tinker listing's checks of 1 October and 4 November (0), so no readable incident history (5). The only published limit is the in-flight sample cap of 2,000, per the tinker listing's 1 October check; the OpenAI-compatible page gives no numbers and says higher or more stable throughput needs the waitlist (10). The SDK retries sampling with stable request IDs, per the tinker listing's reading of the SDK repository; the OpenAI-compatible page has no retry guidance (15). No SLA found (0). Serverless inference is 'currently in beta' on the models and pricing page and the OpenAI-compatible API is labelled Beta, read 6 November (0). 0 + 5 + 10 + 15 + 0 + 0 = 30.\n\n### Payments \u0026 pricing: Cohere Chat API (Command models) +15\n\n- Cohere Chat API (Command models) (35): No x402, MPP or L402 in the docs, the OpenAPI file or the pricing page (0). The docs say Command models are billed per input and output token. The pricing page, read on 2 November 2026, now carries per-unit prices in its own page data, Command R at $0.15 input and $0.60 output and Command R7B at $0.0375 and $0.15 per million tokens, with Command R+ 08-2024 at $2.50 and $10.00 among legacy prices and Command A+ shown as free. No price is published for Command A, Reasoning, Vision or Translate, so the line takes 15 rather than the full 20 (15 of 20). A trial key is created at sign-up and is free with no card (20). Sign-up is in a browser, and a production key needs an Owner to complete a Go to Production form (0).\n- Inkling 2 Small (20): Published rubric. No payment protocol (0). Per-million-token prices for serverless inference and training published without a login on 6 November (20). No free tier listed, and the quickstart asks for payment details before training, per the tinker listing (0). Sign-up is a browser flow (0). 0 + 20 + 0 + 0 = 20.\n\n### Schema \u0026 documentation: Cohere Chat API (Command models) +14\n\n- Cohere Chat API (Command models) (84): Model reading. Public OpenAPI 3.1 file `cohere-openapi.yaml` in cohere-ai/cohere-developer-experience, 43 operations, last changed 29 September 2026 (25). docs.cohere.com/llms.txt and a Markdown twin of every page by adding `.md`, though the llms.txt files list no pages (8 of 10). The v2 chat operation describes each of its 21 request fields with defaults and limits, and says less about when to prefer one option (16 of 20). Enums on `tool_choice`, `safety_mode` and `thinking.type`, numeric bounds on `temperature`, `k`, `p` and `priority`, with penalties bounded only in prose (12 of 15). Eight request examples on the operation and an errors page with sample messages for each status code, with error bodies carrying a message and no machine code (12 of 15). v1 and v2 live side by side in the path and the changelog is dated, but the OpenAPI file is version 1.0 throughout and its changes are committed as 'Add spec changes' with no per-change note (11 of 15).\n- Inkling 2 Small (70): Model reading. No OpenAPI file of its own; the OpenAI-compatible chat and completions endpoints and the typed Python SDK are the contract, as the tinker listing reads it (15). llms.txt on the docs host, per the tinker listing's 1 October check (10). The model card states intended use (agentic and tool-use systems, coding assistants, chatbots, RAG), inputs, outputs and limitations, and the launch post its benchmarks (16 of 20). Model IDs, context lengths and the reasoning_effort values (none to xhigh, or 0.0 to 0.99) are documented; the tool-call format and structured output aren't, for this model (8 of 15). A Python example and an HTTP 400 for models without reasoning_effort, with no error page (6 of 15). A dated Tinker changelog and a model deprecations page, per the tinker listing (15). 15 + 10 + 16 + 8 + 6 + 15 = 70.\n\n### Transparency \u0026 trust: Cohere Chat API (Command models) +11\n\n- Cohere Chat API (Command models) (75): Closed service under a published SaaS agreement, MIT SDKs, and the docs say Command A+ weights are on Hugging Face under Apache 2.0, which we did not open (15 of 30). The Enterprise Data Commitments (5 December 2025) and the privacy policy (1 May 2026) agree on 30-day retention and a training opt-out. The SaaS agreement (8 April 2025) does not mention the opt-out and grants an irrevocable right to use and share API data, and the DPA is sent on request (16 of 30). Deprecations page with dated history back to 2024 and lifecycle terms, no minimum notice, and nothing newer than 4 April 2026 on 2 November, read at 15 as cohere-embed reads the same page (15 of 20). The trust centre names nine sub-processors with a location for each, all in the US, and Google Cloud US-Central as the data location, read at 20 as cohere-embed reads the same list (20 of 20).\n- Inkling 2 Small (64): Editorial half. Closed for now under the Tinker Terms of Use and the Model Acceptable Use Policy, per the model card, with Apache 2.0 weights promised the week after launch (15). Terms commit not to use Customer Content for training, keep it only as needed, with a DPA and deletion on request; the privacy notice wasn't re-read, per the tinker listing (15). Dated deprecation notices with no stated period (15). The DPA annex names Google Cloud, Cloudflare, WorkOS and OpenAI with service and location (15). 15 + 15 + 15 + 15 = 60.\n\n### Agent ergonomics: Cohere Chat API (Command models) +10\n\n- Cohere Chat API (Command models) (72): Model reading. Function calling with `tool_choice` REQUIRED or NONE and `strict_tools`, which the reference marks beta (17 of 20). `response_format` takes `json_object` or a JSON Schema, with limits documented and no support in RAG mode (13 of 15). The usage object reports `cached_tokens`, and no guide or price for prompt caching was found (5 of 15). Context is 256,000 tokens on Command A and Command A Reasoning and 128,000 on Command A+ (10 of 15). `/v2/batches` runs a batch from an uploaded dataset, with no price or discount found (6 of 10). Official SDKs for Python, TypeScript, Java and Go (10). Error messages are specific and readable, with no stable error codes (11 of 15).\n- Inkling 2 Small (62): Model reading (tool use, structured output, caching, context, batch, SDKs). A 256K served context, max_tokens and a priced cache at $0.03 per million; tool use isn't documented for this model (15 of 25). Output-size controls through max_tokens, reasoning_effort and separate_reasoning (15 of 20). One documented error, the 400 for unsupported reasoning_effort (5 of 20). Stable request IDs make SDK sampling retries safe, per the tinker listing (15 of 20). OpenAI's SDKs work against the endpoint, with Tinker's Python SDK besides, and reasoning defaults to 0.9 (12 of 15). 15 + 15 + 5 + 15 + 12 = 62.\n\n## Score by category\n\n| Category | Weight | Cohere Chat API (Command models) | Inkling 2 Small | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 67 | 30 | Cohere Chat API (Command models) +37 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 84 | 70 | Cohere Chat API (Command models) +14 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 62 | Cohere Chat API (Command models) +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 55 | 57 | Inkling 2 Small +2 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 35 | 20 | Cohere Chat API (Command models) +15 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 72 | 75 | Inkling 2 Small +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 75 | 64 | Cohere Chat API (Command models) +11 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **65.6 · B** | **52.1 · D** | |\n\n## Facts side by side\n\n| Fact | Cohere Chat API (Command models) | Inkling 2 Small |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Cohere | Thinking Machines Lab |\n| Hosted endpoint | `https://api.cohere.com/v2/chat` | `https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1` |\n| Transports | 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 | Proprietary for now, used through Tinker under the Tinker Terms of Use and Thinking Machines' Model Acceptable Use Policy, per the model card. Thinking Machines says it will publish the weights under Apache 2.0 the week after launch, once outside safety testing is done |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-09-09 | 2026-11-05 |\n| Terms last updated | 2025-04-08 | not read yet |\n| Privacy policy last updated | 2026-05-01 | not read yet |\n| Customer content may train models | yes | not read yet |\n| Terms restrict automated access | not found in the text | not read yet |\n| Terms restrict benchmarking | yes | not read yet |\n| Terms or service can change without notice | yes | not read yet |\n| Arbitration or class-action waiver | not found in the text | not read yet |\n| Agent reviews | 3/5 (4) | none |\n\n## How the scores have moved\n\n### Cohere Chat API (Command models)\n\n- +0.9 on 2 November 2026: new evidence, correction\n- no change on 28 October 2026: checklist\n\n### Inkling 2 Small\n\nNo score change since it was listed.\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 and prices are set by sales, and the SaaS agreement lets Cohere share API data with third parties.\n\n**Inkling 2 Small.** A new multimodal mixture-of-experts model from Thinking Machines, callable today through Tinker's OpenAI-compatible endpoint at $0.30 and $1.00 per million tokens, with strong vendor-reported coding and agent scores. Tinker's serverless inference is beta, with no status page or SLA, and the weights aren't public yet.\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, and only the R models have published prices\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### Inkling 2 Small\n\n1. Call https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1 with an OpenAI client and TINKER_API_KEY, using /chat/completions\n2. The serverless model ID is thinkingmachines/Inkling-2-Small:peft:262144:sampling-nvfp4, per Tinker's pricing page. The OpenAI page's examples use your own checkpoint paths, so confirm it before relying on it\n3. Pass reasoning_effort as none to xhigh or 0.0 to 0.99 (default 0.9); reasoning arrives in reasoning_content unless separate_reasoning is false\n4. Keep images between 40 and 4096 px a side, per the model card\n5. Validate JSON yourself, since structured output and the tool-call format aren't documented\n6. Plan for a move to open weights. When they publish, the open-weights listing will carry sizes and runtimes\n\n## Questions\n\n### Which is better for AI agents, Cohere Chat API (Command models) or Inkling 2 Small?\n\nCohere Chat API (Command models) scores 65.6 (B) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 5 of 7 scored categories.\n\n### Do Cohere Chat API (Command models) and Inkling 2 Small need an API key?\n\nBoth need an API key.\n\n### Can an agent call Cohere Chat API (Command models) and Inkling 2 Small without installing anything?\n\nYes. Cohere Chat API (Command models) has a hosted endpoint at https://api.cohere.com/v2/chat and Inkling 2 Small at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cohere-chat-vs-inkling-2-small.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cohere-chat-vs-inkling-2-small.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cohere-chat\", \"b\": \"inkling-2-small\"}`. From a terminal: `anchor compare cohere-chat inkling-2-small`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cohere-chat.json and https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json\n\n## Other comparisons with Cohere Chat API (Command models) or Inkling 2 Small\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 Inkling 2 Small](https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small.md)\n- [Antseed vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/antseed-vs-cohere-chat.md)\n- [Antseed vs Inkling 2 Small](https://www.anchorterminal.com/compare/antseed-vs-inkling-2-small.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 Inkling 2 Small](https://www.anchorterminal.com/compare/blockrun-ai-vs-inkling-2-small.md)\n- [Cerebras Inference vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/cerebras-inference-vs-cohere-chat.md)\n- [Cerebras Inference vs Inkling 2 Small](https://www.anchorterminal.com/compare/cerebras-inference-vs-inkling-2-small.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 Inkling 2 Small](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-inkling-2-small.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 Inkling 2 Small](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small.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 Glimpse](https://www.anchorterminal.com/compare/cohere-chat-vs-elorian-glimpse.md)\n- [Cohere Chat API (Command models) vs Fireworks AI Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-fireworks-inference.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 Jais 3](https://www.anchorterminal.com/compare/cohere-chat-vs-jais-3.md)\n- [Cohere Chat API (Command models) vs Meta Model API](https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.md)\n- [Cohere Chat API (Command models) vs MiniMax API](https://www.anchorterminal.com/compare/cohere-chat-vs-minimax-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 Muse Spark Open](https://www.anchorterminal.com/compare/cohere-chat-vs-muse-spark-open.md)\n- [Cohere Chat API (Command models) vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cohere-chat-vs-nemotron-3-5-super-vl.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cohere-chat-vs-ramp-router.md)\n- [Cohere Chat API 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(Command models) vs Together AI Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-together-inference.md)\n- [Cohere Chat API (Command models) vs Vercel AI Gateway](https://www.anchorterminal.com/compare/cohere-chat-vs-vercel-ai-gateway.md)\n- [DeepInfra vs Inkling 2 Small](https://www.anchorterminal.com/compare/deepinfra-vs-inkling-2-small.md)\n- [DeepSeek API vs Inkling 2 Small](https://www.anchorterminal.com/compare/deepseek-api-vs-inkling-2-small.md)\n- [Glimpse vs Inkling 2 Small](https://www.anchorterminal.com/compare/elorian-glimpse-vs-inkling-2-small.md)\n- [Fireworks AI Inference vs Inkling 2 Small](https://www.anchorterminal.com/compare/fireworks-inference-vs-inkling-2-small.md)\n- [Gemini Developer API vs Inkling 2 Small](https://www.anchorterminal.com/compare/gemini-api-vs-inkling-2-small.md)\n- [GroqCloud vs Inkling 2 Small](https://www.anchorterminal.com/compare/groq-vs-inkling-2-small.md)\n- [Inkling 2 Small vs Jais 3](https://www.anchorterminal.com/compare/inkling-2-small-vs-jais-3.md)\n- [Inkling 2 Small vs Meta Model API](https://www.anchorterminal.com/compare/inkling-2-small-vs-meta-model-api.md)\n- [Inkling 2 Small vs MiniMax API](https://www.anchorterminal.com/compare/inkling-2-small-vs-minimax-api.md)\n- [Inkling 2 Small vs Mistral AI API](https://www.anchorterminal.com/compare/inkling-2-small-vs-mistral-api.md)\n- [Inkling 2 Small vs Muse Spark Open](https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-spark-open.md)\n- [Inkling 2 Small vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-super-vl.md)\n- [Inkling 2 Small vs Novita AI](https://www.anchorterminal.com/compare/inkling-2-small-vs-novita-ai.md)\n- [Inkling 2 Small vs OpenAI API](https://www.anchorterminal.com/compare/inkling-2-small-vs-openai-api.md)\n- [Inkling 2 Small vs OpenRouter](https://www.anchorterminal.com/compare/inkling-2-small-vs-openrouter.md)\n- [Inkling 2 Small vs Prism Inference](https://www.anchorterminal.com/compare/inkling-2-small-vs-prism-inference.md)\n- [Inkling 2 Small vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router.md)\n- [Inkling 2 Small vs Beam 1.0](https://www.anchorterminal.com/compare/inkling-2-small-vs-reflection-beam.md)\n- [Inkling 2 Small vs RouterPlus](https://www.anchorterminal.com/compare/inkling-2-small-vs-routerplus.md)\n- [Inkling 2 Small vs SambaCloud](https://www.anchorterminal.com/compare/inkling-2-small-vs-sambanova.md)\n- [Inkling 2 Small vs SiliconFlow](https://www.anchorterminal.com/compare/inkling-2-small-vs-siliconflow.md)\n- [Inkling 2 Small vs Simplismart](https://www.anchorterminal.com/compare/inkling-2-small-vs-simplismart.md)\n- [Inkling 2 Small vs StepFun API](https://www.anchorterminal.com/compare/inkling-2-small-vs-stepfun-api.md)\n- [Inkling 2 Small vs SWE-2 Flash](https://www.anchorterminal.com/compare/inkling-2-small-vs-swe-2-flash.md)\n- [Inkling 2 Small vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/inkling-2-small-vs-tencent-tokenhub.md)\n- [Inkling 2 Small vs Together AI Inference](https://www.anchorterminal.com/compare/inkling-2-small-vs-together-inference.md)\n- [Inkling 2 Small vs Vercel AI Gateway](https://www.anchorterminal.com/compare/inkling-2-small-vs-vercel-ai-gateway.md)\n",
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    "title": "Cohere Chat vs Inkling 2 Small for AI agents (2026) | Anchor Terminal",
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