{
  "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 SWE-2 Flash's 36.4 (F), and leads in 5 of 7 scored categories. SWE-2 Flash leads on reliability.",
    "b": {
      "slug": "swe-2-flash",
      "name": "SWE-2 Flash",
      "vendor": "Cognition AI, Inc.",
      "vendorUrl": "https://cognition.com/blog/swe-2-flash",
      "kind": "model",
      "category": "inference",
      "summary": "SWE-2 Flash is Cognition's small, fast coding model, mid-trained and reinforcement-trained from Thinking Machines' Inkling-Small (276B total, 12B active parameters). It runs inside Devin Desktop and Devin CLI, with no model API of its own and no public weights.",
      "url": "https://www.anchorterminal.com/tools/swe-2-flash",
      "markdownUrl": "https://www.anchorterminal.com/tools/swe-2-flash.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/swe-2-flash.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/swe-2-flash.json",
      "dns": "swe-2-flash.grade.anchorterminal.com",
      "license": "Proprietary model, used through Devin Desktop and Devin CLI under Cognition's Platform Terms of Service. The weights are not public; Cognition says it is building a programme to share them with industry partners and researchers",
      "transports": [],
      "packages": [],
      "auth": "mixed",
      "authNotes": "No model API or key of its own. A person signs in to Devin Desktop, or runs `devin auth login` for Devin CLI, through a browser (enterprise users through their identity provider). The CLI then keeps an API token in credentials.toml that by default is persistent and does not expire, and the docs warn that anyone with the file can authenticate as that user. Enterprise admins choose which models a team may use with a model allowlist.",
      "pricing": "freemium",
      "pricingNotes": "Free in Devin Desktop and Devin CLI through 30 November 2026, per the launch post. Afterwards it is billed against the plan's daily and weekly quota, then extra usage at API pricing. The post says one-fifth the price of SWE-2, whose list price is $3.00 input, $0.30 cached input and $15.00 output per million tokens, but no SWE-2 Flash figure is published: the docs' cost table loads in the browser and the models pages don't list it yet (checked 2026-11-04). Plans are Free $0, Pro $20 a month, Max $200 a month and Teams $80 a month plus $40 per full seat. The docs say Free tier users only have SWE-1.6, so whether Free reaches SWE-2 Flash is unconfirmed.",
      "priceSummary": "Freemium",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "No model endpoint to pay. No x402, MPP or L402 on the Devin pricing page, the Devin Desktop models page or the launch post (checked 2026-11-04).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-11-04"
      },
      "docsUrl": "https://docs.devin.ai/desktop/models",
      "llmsTxt": "https://docs.devin.ai/llms.txt",
      "capabilities": [
        "inference.llm"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "closed-source",
        "coding",
        "moe",
        "cli",
        "desktop-app",
        "llms-txt",
        "status-page",
        "soc2",
        "iso27001",
        "sla",
        "freemium",
        "new"
      ],
      "lastRelease": "2026-11-04",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 36.4,
        "grade": "F",
        "agentReady": false,
        "rank": 1388,
        "ranked": true,
        "rankOf": 1510,
        "categoryRank": 40,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 10,
          "maintenance": 53,
          "payments": 20,
          "reliability": 50,
          "schema": 29,
          "security": 53,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "low",
          "date": "2026-11-04"
        },
        "negative": -2,
        "negativeNotes": [
          "The launch post says 'On leading evals, SWE-2 Flash outperforms all American open-weight models'. The post's own table, a first-hand source, gives Meta's Muse Spark Open (American, open weights, released 15 October 2026) 54.0 on SWE-Atlas QA against SWE-2 Flash's 50.0, and Meta's own figure for Muse Spark Open is 58. A 'surpasses' claim a first-hand source shows false is a deduction of 2 (research/new-2026-11-04-ripple-swe2/NEWLIST.md, rule 4). The case against: SWE-2 Flash leads every other row it shares with the American open-weight models in the table, and DeepSWE 1.1 is 60.1 to 60.0, so 'on leading evals' can be read as overall. Proposed for the founder to confirm at landing, as xiaomi-ocr-0's was"
        ],
        "verdict": "A new small coding model from Cognition that anyone can try free in Devin Desktop and Devin CLI until 30 November 2026, with strong vendor-reported coding scores. It has no model API, no published per-token price, context length or model card, and no public weights, so an agent can reach it only by driving Devin's own CLI.",
        "bestFor": "People already using Devin Desktop or Devin CLI who want a cheaper, faster model for routine coding work such as automations, reviews and small changes, while it is free in November 2026.",
        "strengths": [
          "Free in Devin Desktop and Devin CLI through 30 November 2026, and selectable per run with `devin --model` or `/model`",
          "Cognition reports large gains over its base model, Terminal-Bench 4.0 from 0.9 to 20.0 and FrontierCode 2.0 from 3.2 to 24.0, with the full benchmark table in the post",
          "Runs inside Devin CLI's sandbox, permissions and hooks, and enterprise admins can allow or block it per team",
          "Cognition holds SOC 2 Type II and ISO/IEC 27001:2022 and publishes an SLA for contracts that include one",
          "Status page with a Desktop Agent component, and in the 90 days to 4 November no incident names Desktop or the CLI, only a scheduled extension marketplace maintenance on 7 August"
        ],
        "weaknesses": [
          "No model API, OpenAPI entry or model card. The Devin API's session agents list SWE-2 but not SWE-2 Flash",
          "No per-token price, context length, output limit or reasoning settings published for it, and the docs' models pages don't list it yet",
          "The weights are withheld for now, with a partner and researcher programme promised but not yet described",
          "Customer data may be used for model training by default on self-serve plans, with the opt-out on paid plans only",
          "The CLI's login token is persistent and doesn't expire by default, and no rate limit figures or retry guidance are published"
        ],
        "agentNotes": [
          "There is no endpoint to call. Run Devin CLI single-turn with `devin -p` and pick the model with `--model`; the SWE-2 Flash model ID isn't documented yet, so check `/model` in the CLI first",
          "Don't rely on the short name `swe`. The docs say it resolves to the latest model in the family, which may be SWE-2 rather than SWE-2 Flash",
          "Plan for billing to start on 1 December 2026. The free period covers Devin Desktop and CLI only, not Devin cloud sessions",
          "Treat Cognition's benchmark figures as the vendor's. No independent result for SWE-2 Flash was found",
          "Keep `credentials.toml` private. The token in it doesn't expire by default and carries the signed-in user's access"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "low",
            "grade": "F",
            "methodology": "0.7",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 36.4
          }
        ],
        "editorialScores": {
          "ergonomics": 10,
          "maintenance": 53,
          "payments": 20,
          "reliability": 50,
          "schema": 29,
          "security": 53,
          "transparency": 56
        },
        "provenanceScore": 72,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-04",
            "maintenance": "2026-11-04",
            "payments": "2026-11-04",
            "reliability": "2026-11-04",
            "schema": "2026-11-04",
            "security": "2026-11-04",
            "transparency": "2026-11-04"
          },
          "last": "2026-11-04",
          "oldest": "2026-11-04",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "Install Devin CLI or Devin Desktop from https://devin.ai/download, sign in with `devin auth login`, then choose SWE-2 Flash with `/model`"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/swe-2-flash"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Cognition AI, Inc.",
        "domain": "cognition.com",
        "domainRegistered": "",
        "domainNote": "Not looked up: RDAP isn't requested under the 1 November 2026 rules. The product runs on devin.ai, registered 2022-12-06 per the devin listing's RDAP check of 8 October 2026.",
        "endpointOnVendorDomain": true,
        "terms": "https://cognition.com/legal/platform-terms-of-service",
        "privacy": "https://cognition.com/legal/privacy-policy",
        "statusPage": "https://www.devinstatus.com",
        "changelog": "https://docs.devin.ai/release-notes/overview",
        "securityTxt": "none",
        "checked": "2026-11-04",
        "notes": [
          "The launch post is on cognition.com, signed by the Cognition Team, and the Devin docs, pricing page and status page link the same company. The platform terms (30 June 2026) name Cognition AI, Inc.",
          "The website terms of use (13 May 2024) and platform terms were read for automated-access limits and have none. cognition.com's robots.txt disallows only /downloads/, devin.ai's only /top-secret and /assets/downloads/, docs.devin.ai's /cdn-cgi/ and /_next/ (with Content-Signal ai-input=yes), and www.devinstatus.com's /api/ and /embed/.",
          "security.txt is none per the devin listing's 8 October check, not re-read. The docs give a security address for vulnerability reports.",
          "No SWE-2 Flash entry in the Devin release notes, whose newest is 2 November 2026."
        ],
        "score": 72
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/swe-2-flash.json",
      "live": {
        "slug": "swe-2-flash",
        "vendorStatus": {
          "page": "https://www.devinstatus.com",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-11-07T19:23:48.980207839Z"
        },
        "securityTxt": {
          "url": "https://cognition.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-11-07T16:02:03.835336065Z"
        },
        "llmsTxt": {
          "url": "https://docs.devin.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-07T15:34:04.732499344Z"
        },
        "updatedAt": "2026-11-07T19:23:48.980207839Z"
      }
    },
    "edges": [
      {
        "by": 48,
        "category": "ergonomics",
        "leads": "hugging-face-inference-providers",
        "name": "Agent ergonomics",
        "reasons": {
          "a": "Router reading of the model checklist (tool use, structured output, caching, context, batch, SDKs, errors), as for openrouter. Tool calling through the OpenAI-compatible API with `tool_choice`, support flagged per provider in /v1/models (15 of 20). Structured output documented, support flagged per provider and false on some (10 of 15). No prompt caching guidance found, though the Enterprise usage API counts cached input tokens (3 of 15). Routes to models with up to 1,048,576 tokens of context per the model list, a judgement call since a router has no default model (15). No batch API (0 of 10). Official clients in Python and JavaScript, plus any OpenAI SDK (10). Errors not documented (5 of 15).",
          "b": "Model reading (tool use, structured output, caching, context, batch, SDKs). Tool use is Devin's harness, not something a caller configures; no context length, output limit or cache price is published for SWE-2 Flash (5 of 25). No documented output-size or reasoning controls for this model; SWE-2's effort levels aren't stated for Flash (0 of 20). No model-level error documentation (0 of 20). No idempotency or retry guidance (0 of 20). One flag or picker selects it and `devin -p` runs a single turn and prints to stdout, but there is no SDK or direct endpoint (5 of 15). 5 + 0 + 0 + 0 + 5 = 10."
        },
        "scores": {
          "a": 58,
          "b": 10
        }
      },
      {
        "by": 33,
        "category": "schema",
        "leads": "hugging-face-inference-providers",
        "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 model API, so no OpenAPI entry; the Devin v3 OpenAPI file lists SWE-2 agents only, and no model card was found (0). docs.devin.ai serves llms.txt and Markdown copies of every page (10). The launch post says what it is for (automations, code review, feature development, documentation) and the CLI docs say when to pick a SWE model, but the models pages don't list SWE-2 Flash yet (6 of 20). No documented model ID, reasoning settings, context or output limits to type (0 of 15). The CLI pages show `--model` and `/model` examples, with no model-specific errors (3 of 15). Named, dated model versions on Cognition's blog and public release notes, but no release note for SWE-2 Flash yet; the newest is 2 November (10 of 15). 0 + 10 + 6 + 0 + 3 + 10 = 29."
        },
        "scores": {
          "a": 62,
          "b": 29
        }
      },
      {
        "by": 27,
        "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 4 November 2026 (30). Churn and notice in place of release counts: SWE-1.6, SWE-1.7, SWE-1.7 Lightning, SWE-2 (10 September) and now SWE-2 Flash in a few months, with no model deprecation notice period found and short names that move to the newest model (10 of 20). Public release notes and a support address, no public tracker (10 of 25). No official SDK for the model (0 of 15). The docs are kept current but don't yet cover this model (3 of 10). 30 + 10 + 10 + 0 + 3 = 53."
        },
        "scores": {
          "a": 80,
          "b": 53
        }
      },
      {
        "by": 26,
        "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": "Read as a hosted model reached through Devin's local clients. The CLI signs in through a browser, or the enterprise identity provider, and stores an API token in credentials.toml that by default is persistent and does not expire and carries the user's access, with no scopes found for it (10 of 30). Devin CLI documents an OS-level sandbox with network filtering, hooks that can block tool calls, and enterprise model allowlists and team settings (14 of 20). Guardrails against prompt injection are Enterprise only and cover user messages, as on the devin listing (8 of 15). Enterprise analytics count tool calls and consumption by model and user; no per-user audit log for the CLI was found (8 of 15). SOC 2 Type II and ISO/IEC 27001:2022, a disclosure address, no bug bounty and no security.txt, per the devin listing (13 of 20). Training: self-serve customer data may train Cognition's models by default, with an opt-out on paid plans that also turns on zero data retention at model providers. Cognition withheld the weights over cyber misuse, which is recorded as a fact, not scored. 10 + 14 + 8 + 8 + 13 = 53."
        },
        "scores": {
          "a": 79,
          "b": 53
        }
      },
      {
        "by": 25,
        "category": "reliability",
        "leads": "swe-2-flash",
        "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 runs on, Devin Desktop and Devin CLI. Status page at www.devinstatus.com (Atlassian Statuspage) with Desktop Agent and Desktop Tab components besides the cloud ones, read on 4 November 2026 (20). The history feed for the 90 days from 6 August lists 'Devin unavailable' for 20 minutes on 13 August with no component named, read as across the board and a major as on the devin listing; Devin Cloud unavailable on 13 August and the web app down on 24 September name cloud surfaces this model doesn't use; the rest are degraded-performance incidents (new sessions on 3 September, 'multiple services' on 17 September, Ask Devin on 26 October, automation triggers on 4 November) and session queuing on 10 and 11 August, read as minor and a scheduled Devin Desktop extension marketplace upgrade on 7 August, read as maintenance. One major (10). No rate limit figures for the model or the CLI; usage is a daily and weekly quota with no numbers (0). No 429, backoff or retry guidance for this surface (0). Cognition publishes an SLA (25 February 2026) with uptime and response times that applies when included in an order form, read as a contractual SLA on Enterprise, as on other listings (10). The launch post makes it available today with no preview or beta label (10). 20 + 10 + 0 + 0 + 10 + 10 = 50."
        },
        "scores": {
          "a": 25,
          "b": 50
        }
      },
      {
        "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 model under Cognition's platform terms; the weights aren't public and the sharing programme isn't described yet (15). Terms, privacy policy, security page and DPA agree, with training on self-serve data by default and no retention periods, as read for the devin listing (18). The API versioning policy covers API endpoints, not models, and no model deprecation notice was found (5 of 20). Sub-processors listed with purpose and country, per the devin listing's 8 October check (18). 15 + 18 + 5 + 18 = 56."
        },
        "scores": {
          "a": 71,
          "b": 64
        }
      }
    ],
    "facts": [
      {
        "a": "Model router",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Hugging Face, Inc.",
        "b": "Cognition AI, Inc.",
        "name": "Vendor"
      },
      {
        "a": "https://router.huggingface.co/v1",
        "b": "no (local only)",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "OAuth or key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Freemium",
        "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 model, used through Devin Desktop and Devin CLI under Cognition's Platform Terms of Service. The weights are not public; Cognition says it is building a programme to share them with industry partners and researchers",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-29",
        "b": "2026-11-04",
        "name": "Last release"
      },
      {
        "a": "2022-09-15",
        "b": "2026-06-30",
        "name": "Terms last updated"
      },
      {
        "a": "2023-03-28",
        "b": "2026-03-09",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "yes, with an opt-out",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "yes",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "yes",
        "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 SWE-2 Flash's 36.4 (F), and leads in 5 of 7 scored categories. SWE-2 Flash leads on reliability.",
        "question": "Which is better for AI agents, Hugging Face Inference Providers or SWE-2 Flash?"
      },
      {
        "answer": "Hugging Face Inference Providers needs an API key. SWE-2 Flash takes an API key or an OAuth sign-in.",
        "question": "Do Hugging Face Inference Providers and SWE-2 Flash need an API key?"
      },
      {
        "answer": "Hugging Face Inference Providers has a hosted endpoint at https://router.huggingface.co/v1. No hosted endpoint is listed for SWE-2 Flash.",
        "question": "Can an agent call Hugging Face Inference Providers and SWE-2 Flash without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Schema \u0026 documentation, 62 against 29",
          "Agent ergonomics, 58 against 10",
          "Security \u0026 auth, 79 against 53",
          "Maintenance \u0026 community, 80 against 53",
          "Transparency \u0026 trust, 71 against 64"
        ],
        "also": [
          "A hosted endpoint, with nothing to install"
        ],
        "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, 50 against 25"
        ],
        "also": null,
        "goodFor": "People already using Devin Desktop or Devin CLI who want a cheaper, faster model for routine coding work such as automations, reviews and small changes, while it is free in November 2026.",
        "slug": "swe-2-flash",
        "watchFor": "No model API, OpenAPI entry or model card. The Devin API's session agents list SWE-2 but not SWE-2 Flash"
      }
    ],
    "history": null,
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
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    "scores": [
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        "edge": "swe-2-flash",
        "hugging-face-inference-providers": 25,
        "key": "reliability",
        "name": "Reliability",
        "swe-2-flash": 50,
        "weight": 16
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      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 33,
        "edge": "hugging-face-inference-providers",
        "hugging-face-inference-providers": 62,
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        "name": "Schema \u0026 documentation",
        "swe-2-flash": 29,
        "weight": 13
      },
      {
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        "edge": "hugging-face-inference-providers",
        "hugging-face-inference-providers": 58,
        "key": "ergonomics",
        "name": "Agent ergonomics",
        "swe-2-flash": 10,
        "weight": 13
      },
      {
        "by": 26,
        "edge": "hugging-face-inference-providers",
        "hugging-face-inference-providers": 79,
        "key": "security",
        "name": "Security \u0026 auth",
        "swe-2-flash": 53,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "hugging-face-inference-providers": 20,
        "key": "payments",
        "name": "Payments \u0026 pricing",
        "swe-2-flash": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 27,
        "edge": "hugging-face-inference-providers",
        "hugging-face-inference-providers": 80,
        "key": "maintenance",
        "name": "Maintenance \u0026 community",
        "swe-2-flash": 53,
        "weight": 7
      },
      {
        "by": 7,
        "edge": "hugging-face-inference-providers",
        "hugging-face-inference-providers": 71,
        "key": "transparency",
        "name": "Transparency \u0026 trust",
        "swe-2-flash": 64,
        "weight": 7
      }
    ],
    "summary": "Hugging Face Inference Providers scores 54 (C) on agent readiness against SWE-2 Flash's 36.4 (F), and leads in 5 of 7 scored categories. SWE-2 Flash leads on reliability. 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.",
      "swe-2-flash": "A new small coding model from Cognition that anyone can try free in Devin Desktop and Devin CLI until 30 November 2026, with strong vendor-reported coding scores. It has no model API, no published per-token price, context length or model card, and no public weights, so an agent can reach it only by driving Devin's own CLI."
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  "markdown": "Hugging Face Inference Providers scores 54 (C) on agent readiness against SWE-2 Flash's 36.4 (F), and leads in 5 of 7 scored categories. SWE-2 Flash leads on reliability. 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- SWE-2 Flash: grade F, 36.4/100, rank #1388 of 1510. Markdown https://www.anchorterminal.com/tools/swe-2-flash.md · JSON https://www.anchorterminal.com/api/v1/tools/swe-2-flash.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- Schema \u0026 documentation, 62 against 29\n- Agent ergonomics, 58 against 10\n- Security \u0026 auth, 79 against 53\n- Maintenance \u0026 community, 80 against 53\n- Transparency \u0026 trust, 71 against 64\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n\nWatch for: No rate limits, 429 behaviour or error responses documented for the router\n\n### SWE-2 Flash (F)\n\nGood for: People already using Devin Desktop or Devin CLI who want a cheaper, faster model for routine coding work such as automations, reviews and small changes, while it is free in November 2026.\n\nAhead on:\n- Reliability, 50 against 25\n\nWatch for: No model API, OpenAPI entry or model card. The Devin API's session agents list SWE-2 but not SWE-2 Flash\n\n\n## Why the edge\n\n### Agent ergonomics: Hugging Face Inference Providers +48\n\n- Hugging Face Inference Providers (58): Router reading of the model checklist (tool use, structured output, caching, context, batch, SDKs, errors), as for openrouter. Tool calling through the OpenAI-compatible API with `tool_choice`, support flagged per provider in /v1/models (15 of 20). Structured output documented, support flagged per provider and false on some (10 of 15). No prompt caching guidance found, though the Enterprise usage API counts cached input tokens (3 of 15). Routes to models with up to 1,048,576 tokens of context per the model list, a judgement call since a router has no default model (15). No batch API (0 of 10). Official clients in Python and JavaScript, plus any OpenAI SDK (10). Errors not documented (5 of 15).\n- SWE-2 Flash (10): Model reading (tool use, structured output, caching, context, batch, SDKs). Tool use is Devin's harness, not something a caller configures; no context length, output limit or cache price is published for SWE-2 Flash (5 of 25). No documented output-size or reasoning controls for this model; SWE-2's effort levels aren't stated for Flash (0 of 20). No model-level error documentation (0 of 20). No idempotency or retry guidance (0 of 20). One flag or picker selects it and `devin -p` runs a single turn and prints to stdout, but there is no SDK or direct endpoint (5 of 15). 5 + 0 + 0 + 0 + 5 = 10.\n\n### Schema \u0026 documentation: Hugging Face Inference Providers +33\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- SWE-2 Flash (29): Model reading. No model API, so no OpenAPI entry; the Devin v3 OpenAPI file lists SWE-2 agents only, and no model card was found (0). docs.devin.ai serves llms.txt and Markdown copies of every page (10). The launch post says what it is for (automations, code review, feature development, documentation) and the CLI docs say when to pick a SWE model, but the models pages don't list SWE-2 Flash yet (6 of 20). No documented model ID, reasoning settings, context or output limits to type (0 of 15). The CLI pages show `--model` and `/model` examples, with no model-specific errors (3 of 15). Named, dated model versions on Cognition's blog and public release notes, but no release note for SWE-2 Flash yet; the newest is 2 November (10 of 15). 0 + 10 + 6 + 0 + 3 + 10 = 29.\n\n### Maintenance \u0026 community: Hugging Face Inference Providers +27\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- SWE-2 Flash (53): Model reading. Released 4 November 2026 (30). Churn and notice in place of release counts: SWE-1.6, SWE-1.7, SWE-1.7 Lightning, SWE-2 (10 September) and now SWE-2 Flash in a few months, with no model deprecation notice period found and short names that move to the newest model (10 of 20). Public release notes and a support address, no public tracker (10 of 25). No official SDK for the model (0 of 15). The docs are kept current but don't yet cover this model (3 of 10). 30 + 10 + 10 + 0 + 3 = 53.\n\n### Security \u0026 auth: Hugging Face Inference Providers +26\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- SWE-2 Flash (53): Read as a hosted model reached through Devin's local clients. The CLI signs in through a browser, or the enterprise identity provider, and stores an API token in credentials.toml that by default is persistent and does not expire and carries the user's access, with no scopes found for it (10 of 30). Devin CLI documents an OS-level sandbox with network filtering, hooks that can block tool calls, and enterprise model allowlists and team settings (14 of 20). Guardrails against prompt injection are Enterprise only and cover user messages, as on the devin listing (8 of 15). Enterprise analytics count tool calls and consumption by model and user; no per-user audit log for the CLI was found (8 of 15). SOC 2 Type II and ISO/IEC 27001:2022, a disclosure address, no bug bounty and no security.txt, per the devin listing (13 of 20). Training: self-serve customer data may train Cognition's models by default, with an opt-out on paid plans that also turns on zero data retention at model providers. Cognition withheld the weights over cyber misuse, which is recorded as a fact, not scored. 10 + 14 + 8 + 8 + 13 = 53.\n\n### Reliability: SWE-2 Flash +25\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- SWE-2 Flash (50): Model reading, for the surface it runs on, Devin Desktop and Devin CLI. Status page at www.devinstatus.com (Atlassian Statuspage) with Desktop Agent and Desktop Tab components besides the cloud ones, read on 4 November 2026 (20). The history feed for the 90 days from 6 August lists 'Devin unavailable' for 20 minutes on 13 August with no component named, read as across the board and a major as on the devin listing; Devin Cloud unavailable on 13 August and the web app down on 24 September name cloud surfaces this model doesn't use; the rest are degraded-performance incidents (new sessions on 3 September, 'multiple services' on 17 September, Ask Devin on 26 October, automation triggers on 4 November) and session queuing on 10 and 11 August, read as minor and a scheduled Devin Desktop extension marketplace upgrade on 7 August, read as maintenance. One major (10). No rate limit figures for the model or the CLI; usage is a daily and weekly quota with no numbers (0). No 429, backoff or retry guidance for this surface (0). Cognition publishes an SLA (25 February 2026) with uptime and response times that applies when included in an order form, read as a contractual SLA on Enterprise, as on other listings (10). The launch post makes it available today with no preview or beta label (10). 20 + 10 + 0 + 0 + 10 + 10 = 50.\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- SWE-2 Flash (64): Editorial half. Closed model under Cognition's platform terms; the weights aren't public and the sharing programme isn't described yet (15). Terms, privacy policy, security page and DPA agree, with training on self-serve data by default and no retention periods, as read for the devin listing (18). The API versioning policy covers API endpoints, not models, and no model deprecation notice was found (5 of 20). Sub-processors listed with purpose and country, per the devin listing's 8 October check (18). 15 + 18 + 5 + 18 = 56.\n\n## Score by category\n\n| Category | Weight | Hugging Face Inference Providers | SWE-2 Flash | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 25 | 50 | SWE-2 Flash +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 62 | 29 | Hugging Face Inference Providers +33 |\n| Agent ergonomics | 13% (16.2 this run) | 58 | 10 | Hugging Face Inference Providers +48 |\n| Security \u0026 auth | 14% (17.5 this run) | 79 | 53 | Hugging Face Inference Providers +26 |\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 | 53 | Hugging Face Inference Providers +27 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 71 | 64 | Hugging Face Inference Providers +7 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **54 · C** | **36.4 · F** | |\n\n## Facts side by side\n\n| Fact | Hugging Face Inference Providers | SWE-2 Flash |\n| --- | --- | --- |\n| Kind | Model router | Model API |\n| Vendor | Hugging Face, Inc. | Cognition AI, Inc. |\n| Hosted endpoint | `https://router.huggingface.co/v1` | no (local only) |\n| Transports | HTTP |  |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Freemium |\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 model, used through Devin Desktop and Devin CLI under Cognition's Platform Terms of Service. The weights are not public; Cognition says it is building a programme to share them with industry partners and researchers |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-29 | 2026-11-04 |\n| Terms last updated | 2022-09-15 | 2026-06-30 |\n| Privacy policy last updated | 2023-03-28 | 2026-03-09 |\n| Customer content may train models | not found in the text | yes, with an opt-out |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\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**SWE-2 Flash.** A new small coding model from Cognition that anyone can try free in Devin Desktop and Devin CLI until 30 November 2026, with strong vendor-reported coding scores. It has no model API, no published per-token price, context length or model card, and no public weights, so an agent can reach it only by driving Devin's own CLI.\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### SWE-2 Flash\n\n1. There is no endpoint to call. Run Devin CLI single-turn with `devin -p` and pick the model with `--model`; the SWE-2 Flash model ID isn't documented yet, so check `/model` in the CLI first\n2. Don't rely on the short name `swe`. The docs say it resolves to the latest model in the family, which may be SWE-2 rather than SWE-2 Flash\n3. Plan for billing to start on 1 December 2026. The free period covers Devin Desktop and CLI only, not Devin cloud sessions\n4. Treat Cognition's benchmark figures as the vendor's. No independent result for SWE-2 Flash was found\n5. Keep `credentials.toml` private. The token in it doesn't expire by default and carries the signed-in user's access\n\n## Questions\n\n### Which is better for AI agents, Hugging Face Inference Providers or SWE-2 Flash?\n\nHugging Face Inference Providers scores 54 (C) on agent readiness against SWE-2 Flash's 36.4 (F), and leads in 5 of 7 scored categories. SWE-2 Flash leads on reliability.\n\n### Do Hugging Face Inference Providers and SWE-2 Flash need an API key?\n\nHugging Face Inference Providers needs an API key. SWE-2 Flash takes an API key or an OAuth sign-in.\n\n### Can an agent call Hugging Face Inference Providers and SWE-2 Flash without installing anything?\n\nHugging Face Inference Providers has a hosted endpoint at https://router.huggingface.co/v1. No hosted endpoint is listed for SWE-2 Flash.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-swe-2-flash.json, and with the fewest tokens: https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-swe-2-flash.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"hugging-face-inference-providers\", \"b\": \"swe-2-flash\"}`. From a terminal: `anchor compare hugging-face-inference-providers swe-2-flash`\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/swe-2-flash.json\n\n## Other comparisons with Hugging Face Inference Providers or SWE-2 Flash\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 SWE-2 Flash](https://www.anchorterminal.com/compare/amazon-bedrock-vs-swe-2-flash.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 SWE-2 Flash](https://www.anchorterminal.com/compare/anthropic-api-vs-swe-2-flash.md)\n- [Antseed vs SWE-2 Flash](https://www.anchorterminal.com/compare/antseed-vs-swe-2-flash.md)\n- [Azure OpenAI in Foundry Models vs Hugging Face Inference 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