{
  "data": {
    "a": {
      "slug": "hugging-face-inference-providers",
      "name": "Hugging Face Inference Providers",
      "vendor": "Hugging Face, Inc.",
      "vendorUrl": "https://huggingface.co",
      "kind": "router",
      "category": "inference",
      "summary": "Hugging Face's serverless router that sends model calls to partner inference providers such as Groq, Cerebras, Together and Fireworks through one Hugging Face token, with an OpenAI-compatible API at router.huggingface.co/v1 and Python and JavaScript clients.",
      "url": "https://www.anchorterminal.com/tools/hugging-face-inference-providers",
      "markdownUrl": "https://www.anchorterminal.com/tools/hugging-face-inference-providers.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hugging-face-inference-providers.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-providers.json",
      "dns": "hugging-face-inference-providers.grade.anchorterminal.com",
      "repo": "https://github.com/huggingface/huggingface_hub",
      "license": "Proprietary service under the Hugging Face Terms of Service, which name Inference Providers. The `huggingface_hub` Python client is Apache-2.0 and `@huggingface/inference` is MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://router.huggingface.co/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "huggingface_hub"
        },
        {
          "registry": "npm",
          "name": "@huggingface/inference"
        }
      ],
      "auth": "api-key",
      "authNotes": "Hugging Face user access token sent as `Authorization: Bearer $HF_TOKEN`. The docs recommend a fine-grained token with only the `Make calls to Inference Providers` permission. Tokens are made in account settings in a browser, can be rotated and revoked, and a leaked token can be revoked by anyone through `POST /api/credentials/revoke`. A provider's own key can be stored in settings instead, and Hugging Face swaps it in when routing.",
      "pricing": "usage",
      "pricingNotes": "Pay as you go at each provider's own per-token rates with no Hugging Face markup, drawn from prepaid credits on the Hugging Face account. Free users get no included credits since 7 October 2026 and must buy credits. PRO users and Team or Enterprise seats get $2.00 a month of compute credits. Requests with a custom provider key are billed by the provider (https://huggingface.co/docs/inference-providers/pricing, checked 2026-11-06).",
      "priceSummary": "$2 / mo",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the Inference Providers docs, llms.txt or the router's model list. Calls draw on prepaid Hugging Face credits bought in the account's billing settings (checked 2026-11-06).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 483470,
        "pypiWeekly": 71518708,
        "asOf": "2026-11-06"
      },
      "docsUrl": "https://huggingface.co/docs/inference-providers/index",
      "llmsTxt": "https://huggingface.co/docs/inference-providers/llms.txt",
      "capabilities": [
        "inference.router",
        "inference.open-weights",
        "inference.llm"
      ],
      "tags": [
        "hosted",
        "router",
        "usage",
        "prepaid",
        "openai-compatible",
        "llms-txt",
        "python",
        "javascript",
        "status-page",
        "soc2"
      ],
      "lastRelease": "2026-10-29",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 54,
        "grade": "C",
        "agentReady": false,
        "rank": 926,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 28,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 58,
          "maintenance": 80,
          "payments": 20,
          "reliability": 25,
          "schema": 62,
          "security": 79,
          "transparency": 71
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-06"
        },
        "negative": 0,
        "verdict": "One Hugging Face token reaches open models on 18 partner providers at the providers' own prices, with a public model list that shows each provider's price, context and tool support. Router rate limits, error responses and its own status component were not found in the reviewed documentation, and free accounts have had no included credits since 7 October 2026.",
        "bestFor": "Agents and developers who want open-weight models from several hosts on one token and one bill, with a public price and capability list per provider.",
        "strengths": [
          "router.huggingface.co/v1/models lists every routed model with each provider's price, context, tool support, latency and throughput, without a token",
          "Provider choice by suffix (`:fastest`, `:cheapest`, `:preferred` or a provider name) on an OpenAI-compatible endpoint",
          "Fine-grained tokens can be limited to the `Make calls to Inference Providers` permission and revoked at once",
          "No markup on provider rates, and request bodies and responses are not stored when routed",
          "Official clients in Python (`huggingface_hub` 2.4.0, 29 October 2026) and JavaScript (`@huggingface/inference` 4.13.32)"
        ],
        "weaknesses": [
          "No rate limits, 429 behaviour or error responses documented for the router",
          "status.huggingface.co has no component for Inference Providers or the router",
          "Free users have had no included credits since 7 October 2026, and buying credits needs a person in the account settings",
          "No OpenAPI document for the router, no batch API, and the Responses API is beta",
          "Data handling past the router depends on each provider's own policy"
        ],
        "agentNotes": [
          "Read https://router.huggingface.co/v1/models before choosing a provider; it shows price, context and `supports_tools` per provider",
          "Pin a provider with `model:\u003cprovider\u003e` when tool calling or structured output matters, since support varies by provider",
          "Use a fine-grained token with only the Inference Providers permission, and send `X-HF-Bill-To` to bill an organisation",
          "Back off on 429 without assuming a Retry-After header, since none is documented for the router"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 54
          }
        ],
        "editorialScores": {
          "ergonomics": 58,
          "maintenance": 80,
          "payments": 20,
          "reliability": 25,
          "schema": 62,
          "security": 79,
          "transparency": 58
        },
        "provenanceScore": 84,
        "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": {
        "install": "pip install huggingface_hub   # or: pip install openai, with base_url https://router.huggingface.co/v1",
        "http": "curl https://router.huggingface.co/v1/chat/completions \\\n  -H \"Authorization: Bearer $HF_TOKEN\" -H \"Content-Type: application/json\" \\\n  -d '{\"model\":\"openai/gpt-oss-120b:fastest\",\"messages\":[{\"role\":\"user\",\"content\":\"How many Gs in huggingface?\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.router",
        "tool": "https://letme.dev/hugging-face-inference-providers"
      },
      "sameCompany": [
        "hugging-face-inference-endpoints",
        "smolagents",
        "carbon-x",
        "smollm3-3b"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "openai/gpt-oss-120b input, cheapest provider listed (DeepInfra)",
          "unit": "1m-tokens",
          "usd": 0.037,
          "note": "Output $0.17. Groq lists $0.15/$0.75 and Cerebras $0.35/$0.75, per the router's model list of 6 November 2026"
        },
        {
          "item": "PRO monthly compute credits",
          "unit": "month",
          "usd": 2,
          "note": "Also $2.00 per seat for Team and Enterprise organisations"
        }
      ],
      "provenance": {
        "legalEntity": "Hugging Face, Inc.",
        "domain": "huggingface.co",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://huggingface.co/terms-of-service",
        "privacy": "https://huggingface.co/privacy",
        "statusPage": "https://status.huggingface.co",
        "changelog": "https://huggingface.co/changelog",
        "securityTxt": "valid",
        "checked": "2026-11-06",
        "notes": [
          "The Terms of Service (effective 15 September 2022) name Hugging Face, Inc. and define Inference Providers as a hosted service for running inference through an API on Hub models.",
          "huggingface.co/robots.txt and router.huggingface.co/robots.txt allow all. status.huggingface.co serves an empty robots.txt.",
          "status.huggingface.co is a Better Stack page with components for the Hub, git hosting, Inference Endpoints, Spaces, the CDNs and Jobs, and none for Inference Providers or the router.",
          "huggingface.co/changelog covers the whole Hub and had no Inference Providers entry on its first page on 6 November 2026. Dated changes to the docs are in the hub-docs repository's history.",
          "security.txt, privacy policy and subprocessor list as recorded on the Inference Endpoints listing (checked 8 October and 2 November 2026); not re-read for this listing."
        ],
        "score": 84
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/hugging-face-inference-providers.json",
      "live": {
        "slug": "hugging-face-inference-providers",
        "probe": {
          "target": "https://router.huggingface.co/v1",
          "method": "get",
          "lastAt": "2026-11-07T19:22:12.474650545Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 145,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 109,
          "p95ms24h": 196,
          "samples24h": 210,
          "samples30d": 210,
          "days": [
            {
              "date": "2026-11-06",
              "probes": 13,
              "ok": 13
            },
            {
              "date": "2026-11-07",
              "probes": 197,
              "ok": 197
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.huggingface.co",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-11-07T04:47:55.542550557Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "huggingface/huggingface_hub",
            "version": "v2.4.0",
            "released": "2026-10-29",
            "seenAt": "2026-11-06T23:33:27.894225298Z"
          },
          {
            "registry": "npm",
            "name": "@huggingface/inference",
            "version": "4.13.32",
            "seenAt": "2026-11-06T23:33:27.102558197Z"
          },
          {
            "registry": "pypi",
            "name": "huggingface_hub",
            "version": "2.4.0",
            "released": "2026-10-29",
            "seenAt": "2026-11-06T23:33:26.910773744Z"
          }
        ],
        "githubStars": 4034,
        "npmWeekly": 483470,
        "pypiWeekly": 71518708,
        "securityTxt": {
          "url": "https://huggingface.co/.well-known/security.txt",
          "state": "valid",
          "expires": "2030-07-01T08:42:00.000Z",
          "checkedAt": "2026-11-07T16:00:00.493446773Z"
        },
        "llmsTxt": {
          "url": "https://huggingface.co/docs/inference-providers/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-07T15:32:44.910268229Z"
        },
        "pages": [
          {
            "url": "https://huggingface.co/docs/inference-providers/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-11-07T14:11:37.221950067Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "2cbe821ca9d2"
          }
        ],
        "updatedAt": "2026-11-07T19:22:12.474650545Z"
      }
    },
    "answer": "Hugging Face Inference Providers scores 54 (C) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 3 of 7 scored categories. Inkling 2 Small leads on reliability and schema \u0026 documentation.",
    "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": 999,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 35,
        "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": "2026-11-07T19:22:13.254155047Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 547,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 415,
          "p95ms24h": 509,
          "samples24h": 238,
          "samples30d": 383,
          "days": [
            {
              "date": "2026-11-06",
              "probes": 186,
              "ok": 186
            },
            {
              "date": "2026-11-07",
              "probes": 197,
              "ok": 197
            }
          ]
        },
        "securityTxt": {
          "url": "https://thinkingmachines.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2029-07-13T07:00:00.000Z",
          "checkedAt": "2026-11-07T16:00:36.176504391Z"
        },
        "llmsTxt": {
          "url": "https://tinker-docs.thinkingmachines.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-07T15:32:45.090387547Z"
        },
        "pages": [
          {
            "url": "https://tinker-docs.thinkingmachines.ai/changelog/",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-11-07T14:22:17.310423056Z",
            "changedAt": "2026-11-07T14:22:17.310423056Z",
            "fingerprint": "a3a2317910fe"
          },
          {
            "url": "https://thinkingmachines.ai/legal/privacy/",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-11-07T14:22:13.132635873Z",
            "changedAt": "2026-11-06T13:43:40.660240815Z",
            "fingerprint": "3c33a4a74c61"
          },
          {
            "url": "https://thinkingmachines.ai/legal/terms/",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-07T14:22:15.249121537Z",
            "changedAt": "2026-11-06T13:43:42.918165055Z",
            "fingerprint": "08c6ceca5dbb"
          }
        ],
        "updatedAt": "2026-11-07T19:22:13.254155047Z"
      }
    },
    "edges": [
      {
        "by": 22,
        "category": "security",
        "leads": "hugging-face-inference-providers",
        "name": "Security \u0026 auth",
        "reasons": {
          "a": "Model reading. Fine-grained user access tokens that can be limited to the `Make calls to Inference Providers` permission, rotated and revoked, plus a public revocation endpoint for leaked tokens, and organisation approval of fine-grained tokens on paid plans (30). Hugging Face says it doesn't store user data for training, but data handling past the router follows each provider's policy, with no per-request filter to exclude providers that train or retain (12 of 20). Request bodies and responses aren't stored when routed and debug logs are kept up to 30 days without user data or tokens, with provider retention outside that statement (10 of 15). Usage by model and provider in account settings, an Enterprise usage API, and Team and Enterprise admins can disable providers and set a spending limit (13 of 15). SOC 2 Type 2 for the Hub, of which the docs say Inference Providers is a feature, and security.txt valid to 2030 per the Inference Endpoints check; no bug bounty found (14 of 20).",
          "b": "Platform readings are the tinker listing's. Revocable API keys from the console, with no per-key scopes found (20). Org, team and project permissions with no read-only role (5). The model returns its own completions, no third-party content (10). get_audit_log() for admins (15). security.txt with a reporting address and no stated acknowledgement time (7). For the model reading, Tinker's terms commit not to use Customer Content for training, recorded under transparency. 20 + 5 + 10 + 15 + 7 = 57."
        },
        "scores": {
          "a": 79,
          "b": 57
        }
      },
      {
        "by": 8,
        "category": "schema",
        "leads": "inkling-2-small",
        "name": "Schema \u0026 documentation",
        "reasons": {
          "a": "No OpenAPI document for the router (openapi.json paths answer 404). The task reference pages are generated from typed JSON Schema specs in huggingface.js, and the router's /v1/models gives a machine-readable catalogue, so 12 of 25. llms.txt for the Inference Providers docs and a Markdown twin of every page via `.md` (10). Guides say what each task and policy is for, with a quick setup page for coding agents (14 of 20). Parameter tables with types for chat completion, though `response_format` and `tool_choice` show as unknown types (9 of 15). Examples in Python, JavaScript and curl on every task page, but no documented error responses for the router (9 of 15). No changelog of its own; the Hub changelog doesn't cover it and dated changes are only in the hub-docs history (8 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": 62,
          "b": 70
        }
      },
      {
        "by": 7,
        "category": "transparency",
        "leads": "hugging-face-inference-providers",
        "name": "Transparency \u0026 trust",
        "reasons": {
          "a": "Closed service under Terms of Service that name Inference Providers, with an Apache-2.0 Python client and an MIT JavaScript client (20). The security page and the docs agree on no training, no stored bodies and 30-day logs, but the privacy policy dates from 28 March 2023 and each provider's own data policy governs the rest (18 of 30). No deprecation policy found. Provider support changes and the 7 October removal of free credits are dated only in the docs repository history (5 of 20). The privacy policy lists 11 subprocessors with countries per the Inference Endpoints check, and the docs name every provider a request can reach, though not where each runs (15 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": 71,
          "b": 64
        }
      },
      {
        "by": 5,
        "category": "reliability",
        "leads": "inkling-2-small",
        "name": "Reliability",
        "reasons": {
          "a": "Hosted lines. status.huggingface.co is a Better Stack page with 90-day component history for the Hub, Inference Endpoints, Spaces, the CDNs and Jobs, but no component for Inference Providers or the router (10 of 20). With no component, there is no readable incident history for the surface agents call, and the feed's 23 items from 10 June to 7 October 2026 don't name it (5). No rate limits for the router were found; the Hub rate-limits page gives numbers for Hub APIs, resolvers and pages only (0). No 429 or overload guidance for the router was found (0). No SLA found (0). Chat completions on the router is generally available; the Responses API is labelled beta (10). Routing between providers with `:fastest` or `:cheapest` softens a single provider's outage, which this checklist doesn't score.",
          "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": 25,
          "b": 30
        }
      },
      {
        "by": 5,
        "category": "maintenance",
        "leads": "hugging-face-inference-providers",
        "name": "Maintenance \u0026 community",
        "reasons": {
          "a": "Model reading. huggingface_hub 2.4.0 tagged on 29 October 2026 and the Inference Providers docs updated daily by an automated job, last on 6 November (30). huggingface_hub 2.2.0, 2.3.0 and 2.4.0 and @huggingface/inference 4.13.28 to 4.13.32 in the 90 days (20). No dedicated changelog; the Hub has a forum and Discord, and GitHub issue replies were not read (8 of 15). Current official SDKs in Python and JavaScript (15). The Python client supports Python 3.10 and later, per the Inference Endpoints check; CI not read (7 of 10).",
          "b": "Model reading. Released 5 November 2026 (30). Churn and notice in place of release counts: Inkling, Inkling-Small (30 July) and Inkling 2 Small in about four months, and a deprecations page with dated retirements and a promise to 'aim to give advance notice' by email, with no stated period, per the tinker listing (10 of 20). A public changelog and a support address and Discord, per the tinker listing (10 of 15). Current official SDKs, Tinker's Python SDK and the OpenAI-compatible endpoint (15). SDK and cookbook CI, per the tinker listing (10). 30 + 10 + 10 + 15 + 10 = 75."
        },
        "scores": {
          "a": 80,
          "b": 75
        }
      }
    ],
    "facts": [
      {
        "a": "Model router",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Hugging Face, Inc.",
        "b": "Thinking Machines Lab",
        "name": "Vendor"
      },
      {
        "a": "https://router.huggingface.co/v1",
        "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": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "Proprietary service under the Hugging Face Terms of Service, which name Inference Providers. The `huggingface_hub` Python client is Apache-2.0 and `@huggingface/inference` is 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": "2026-10-29",
        "b": "2026-11-05",
        "name": "Last release"
      },
      {
        "a": "2022-09-15",
        "b": "not read yet",
        "name": "Terms last updated"
      },
      {
        "a": "2023-03-28",
        "b": "not read yet",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "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": "not found in the text",
        "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": "483k npm/wk, 71.5M PyPI/wk",
        "b": "none",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Hugging Face Inference Providers scores 54 (C) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 3 of 7 scored categories. Inkling 2 Small leads on reliability and schema \u0026 documentation.",
        "question": "Which is better for AI agents, Hugging Face Inference Providers or Inkling 2 Small?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Hugging Face Inference Providers and Inkling 2 Small need an API key?"
      },
      {
        "answer": "Yes. Hugging Face Inference Providers has a hosted endpoint at https://router.huggingface.co/v1 and Inkling 2 Small at https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1.",
        "question": "Can an agent call Hugging Face Inference Providers and Inkling 2 Small without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Security \u0026 auth, 79 against 57",
          "Maintenance \u0026 community, 80 against 75",
          "Transparency \u0026 trust, 71 against 64"
        ],
        "also": null,
        "goodFor": "Agents and developers who want open-weight models from several hosts on one token and one bill, with a public price and capability list per provider.",
        "slug": "hugging-face-inference-providers",
        "watchFor": "No rate limits, 429 behaviour or error responses documented for the router"
      },
      {
        "aheadOn": [
          "Reliability, 30 against 25",
          "Schema \u0026 documentation, 70 against 62"
        ],
        "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": null,
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
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    "panel": null,
    "scores": [
      {
        "by": 5,
        "edge": "inkling-2-small",
        "hugging-face-inference-providers": 25,
        "inkling-2-small": 30,
        "key": "reliability",
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 8,
        "edge": "inkling-2-small",
        "hugging-face-inference-providers": 62,
        "inkling-2-small": 70,
        "key": "schema",
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 4,
        "edge": "inkling-2-small",
        "hugging-face-inference-providers": 58,
        "inkling-2-small": 62,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 22,
        "edge": "hugging-face-inference-providers",
        "hugging-face-inference-providers": 79,
        "inkling-2-small": 57,
        "key": "security",
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "hugging-face-inference-providers": 20,
        "inkling-2-small": 20,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 5,
        "edge": "hugging-face-inference-providers",
        "hugging-face-inference-providers": 80,
        "inkling-2-small": 75,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 7,
        "edge": "hugging-face-inference-providers",
        "hugging-face-inference-providers": 71,
        "inkling-2-small": 64,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Hugging Face Inference Providers scores 54 (C) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 3 of 7 scored categories. Inkling 2 Small leads on reliability and schema \u0026 documentation. Both do llm inference.",
    "tasks": null,
    "tutorials": [],
    "verdicts": {
      "hugging-face-inference-providers": "One Hugging Face token reaches open models on 18 partner providers at the providers' own prices, with a public model list that shows each provider's price, context and tool support. Router rate limits, error responses and its own status component were not found in the reviewed documentation, and free accounts have had no included credits since 7 October 2026.",
      "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": "Hugging Face Inference Providers scores 54 (C) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 3 of 7 scored categories. Inkling 2 Small leads on reliability and schema \u0026 documentation. Both do llm inference.\n\n- Hugging Face Inference Providers: grade C, 54/100, rank #926 of 1510. Markdown https://www.anchorterminal.com/tools/hugging-face-inference-providers.md · JSON https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-providers.json\n- Inkling 2 Small: grade D, 52.1/100, rank #999 of 1510. 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 830 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Hugging Face Inference Providers (C)\n\nGood for: Agents and developers who want open-weight models from several hosts on one token and one bill, with a public price and capability list per provider.\n\nAhead on:\n- Security \u0026 auth, 79 against 57\n- Maintenance \u0026 community, 80 against 75\n- Transparency \u0026 trust, 71 against 64\n\nWatch for: No rate limits, 429 behaviour or error responses documented for the router\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\nAhead on:\n- Reliability, 30 against 25\n- Schema \u0026 documentation, 70 against 62\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### Security \u0026 auth: Hugging Face Inference Providers +22\n\n- Hugging Face Inference Providers (79): Model reading. Fine-grained user access tokens that can be limited to the `Make calls to Inference Providers` permission, rotated and revoked, plus a public revocation endpoint for leaked tokens, and organisation approval of fine-grained tokens on paid plans (30). Hugging Face says it doesn't store user data for training, but data handling past the router follows each provider's policy, with no per-request filter to exclude providers that train or retain (12 of 20). Request bodies and responses aren't stored when routed and debug logs are kept up to 30 days without user data or tokens, with provider retention outside that statement (10 of 15). Usage by model and provider in account settings, an Enterprise usage API, and Team and Enterprise admins can disable providers and set a spending limit (13 of 15). SOC 2 Type 2 for the Hub, of which the docs say Inference Providers is a feature, and security.txt valid to 2030 per the Inference Endpoints check; no bug bounty found (14 of 20).\n- Inkling 2 Small (57): Platform readings are the tinker listing's. Revocable API keys from the console, with no per-key scopes found (20). Org, team and project permissions with no read-only role (5). The model returns its own completions, no third-party content (10). get_audit_log() for admins (15). security.txt with a reporting address and no stated acknowledgement time (7). For the model reading, Tinker's terms commit not to use Customer Content for training, recorded under transparency. 20 + 5 + 10 + 15 + 7 = 57.\n\n### Schema \u0026 documentation: Inkling 2 Small +8\n\n- Hugging Face Inference Providers (62): No OpenAPI document for the router (openapi.json paths answer 404). The task reference pages are generated from typed JSON Schema specs in huggingface.js, and the router's /v1/models gives a machine-readable catalogue, so 12 of 25. llms.txt for the Inference Providers docs and a Markdown twin of every page via `.md` (10). Guides say what each task and policy is for, with a quick setup page for coding agents (14 of 20). Parameter tables with types for chat completion, though `response_format` and `tool_choice` show as unknown types (9 of 15). Examples in Python, JavaScript and curl on every task page, but no documented error responses for the router (9 of 15). No changelog of its own; the Hub changelog doesn't cover it and dated changes are only in the hub-docs history (8 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: Hugging Face Inference Providers +7\n\n- Hugging Face Inference Providers (71): Closed service under Terms of Service that name Inference Providers, with an Apache-2.0 Python client and an MIT JavaScript client (20). The security page and the docs agree on no training, no stored bodies and 30-day logs, but the privacy policy dates from 28 March 2023 and each provider's own data policy governs the rest (18 of 30). No deprecation policy found. Provider support changes and the 7 October removal of free credits are dated only in the docs repository history (5 of 20). The privacy policy lists 11 subprocessors with countries per the Inference Endpoints check, and the docs name every provider a request can reach, though not where each runs (15 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### Reliability: Inkling 2 Small +5\n\n- Hugging Face Inference Providers (25): Hosted lines. status.huggingface.co is a Better Stack page with 90-day component history for the Hub, Inference Endpoints, Spaces, the CDNs and Jobs, but no component for Inference Providers or the router (10 of 20). With no component, there is no readable incident history for the surface agents call, and the feed's 23 items from 10 June to 7 October 2026 don't name it (5). No rate limits for the router were found; the Hub rate-limits page gives numbers for Hub APIs, resolvers and pages only (0). No 429 or overload guidance for the router was found (0). No SLA found (0). Chat completions on the router is generally available; the Responses API is labelled beta (10). Routing between providers with `:fastest` or `:cheapest` softens a single provider's outage, which this checklist doesn't score.\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### Maintenance \u0026 community: Hugging Face Inference Providers +5\n\n- Hugging Face Inference Providers (80): Model reading. huggingface_hub 2.4.0 tagged on 29 October 2026 and the Inference Providers docs updated daily by an automated job, last on 6 November (30). huggingface_hub 2.2.0, 2.3.0 and 2.4.0 and @huggingface/inference 4.13.28 to 4.13.32 in the 90 days (20). No dedicated changelog; the Hub has a forum and Discord, and GitHub issue replies were not read (8 of 15). Current official SDKs in Python and JavaScript (15). The Python client supports Python 3.10 and later, per the Inference Endpoints check; CI not read (7 of 10).\n- Inkling 2 Small (75): Model reading. Released 5 November 2026 (30). Churn and notice in place of release counts: Inkling, Inkling-Small (30 July) and Inkling 2 Small in about four months, and a deprecations page with dated retirements and a promise to 'aim to give advance notice' by email, with no stated period, per the tinker listing (10 of 20). A public changelog and a support address and Discord, per the tinker listing (10 of 15). Current official SDKs, Tinker's Python SDK and the OpenAI-compatible endpoint (15). SDK and cookbook CI, per the tinker listing (10). 30 + 10 + 10 + 15 + 10 = 75.\n\n## Score by category\n\n| Category | Weight | Hugging Face Inference Providers | Inkling 2 Small | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 25 | 30 | Inkling 2 Small +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 62 | 70 | Inkling 2 Small +8 |\n| Agent ergonomics | 13% (16.2 this run) | 58 | 62 | Inkling 2 Small +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 79 | 57 | Hugging Face Inference Providers +22 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 75 | Hugging Face Inference Providers +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 71 | 64 | Hugging Face Inference Providers +7 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **54 · C** | **52.1 · D** | |\n\n## Facts side by side\n\n| Fact | Hugging Face Inference Providers | Inkling 2 Small |\n| --- | --- | --- |\n| Kind | Model router | Model API |\n| Vendor | Hugging Face, Inc. | Thinking Machines Lab |\n| Hosted endpoint | `https://router.huggingface.co/v1` | `https://tinker.thinkingmachines.dev/services/tinker-prod/oai/api/v1` |\n| Transports | HTTP |  |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Proprietary service under the Hugging Face Terms of Service, which name Inference Providers. The `huggingface_hub` Python client is Apache-2.0 and `@huggingface/inference` is 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 | 2026-10-29 | 2026-11-05 |\n| Terms last updated | 2022-09-15 | not read yet |\n| Privacy policy last updated | 2023-03-28 | not read yet |\n| Customer content may train models | not found in the text | not read yet |\n| Terms restrict automated access | not found in the text | not read yet |\n| Terms restrict benchmarking | not found in the text | 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| Popularity | 483k npm/wk, 71.5M PyPI/wk | none |\n\n## Verdicts\n\n**Hugging Face Inference Providers.** One Hugging Face token reaches open models on 18 partner providers at the providers' own prices, with a public model list that shows each provider's price, context and tool support. Router rate limits, error responses and its own status component were not found in the reviewed documentation, and free accounts have had no included credits since 7 October 2026.\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### Hugging Face Inference Providers\n\n1. Read https://router.huggingface.co/v1/models before choosing a provider; it shows price, context and `supports_tools` per provider\n2. Pin a provider with `model:\u003cprovider\u003e` when tool calling or structured output matters, since support varies by provider\n3. Use a fine-grained token with only the Inference Providers permission, and send `X-HF-Bill-To` to bill an organisation\n4. Back off on 429 without assuming a Retry-After header, since none is documented for the router\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, Hugging Face Inference Providers or Inkling 2 Small?\n\nHugging Face Inference Providers scores 54 (C) on agent readiness against Inkling 2 Small's 52.1 (D), and leads in 3 of 7 scored categories. Inkling 2 Small leads on reliability and schema \u0026 documentation.\n\n### Do Hugging Face Inference Providers and Inkling 2 Small need an API key?\n\nBoth need an API key.\n\n### Can an agent call Hugging Face Inference Providers and Inkling 2 Small without installing anything?\n\nYes. Hugging Face Inference Providers has a hosted endpoint at https://router.huggingface.co/v1 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/hugging-face-inference-providers-vs-inkling-2-small.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-inkling-2-small.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hugging-face-inference-providers\", \"b\": \"inkling-2-small\"}`. From a terminal: `anchor compare hugging-face-inference-providers inkling-2-small`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/hugging-face-inference-providers.json and https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json\n\n## Other comparisons with Hugging Face Inference Providers or Inkling 2 Small\n\n- [Amazon Bedrock vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/amazon-bedrock-vs-hugging-face-inference-providers.md)\n- [Amazon Bedrock vs Inkling 2 Small](https://www.anchorterminal.com/compare/amazon-bedrock-vs-inkling-2-small.md)\n- [Claude API vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/anthropic-api-vs-hugging-face-inference-providers.md)\n- [Claude API vs Inkling 2 Small](https://www.anchorterminal.com/compare/anthropic-api-vs-inkling-2-small.md)\n- [Antseed vs Inkling 2 Small](https://www.anchorterminal.com/compare/antseed-vs-inkling-2-small.md)\n- [Azure OpenAI in Foundry Models 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