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            "131,072-token context on every self-serve model",
            "No OpenAPI document, and the SDK metadata carries no spec URL",
            "Cached input is half price on the three gpt-oss models only",
            "The deprecations page still names qwen/qwen3.6-27b as a Llama 3.3 70B replacement, and that model shut down on 2026-09-14"
          ],
          "agentNotes": [
            "Call `/models` at start-up. Four model ids stopped working this quarter",
            "Read `retry-after` on a 429 and the `x-ratelimit-remaining-tokens` header before the next call",
            "Free plan allows 8,000 tokens a minute on gpt-oss, so keep prompts small or batch them",
            "Don't build on Qwen 3.8 27B. It's a preview and previews can go at short notice",
            "Treat a 498 as Flex capacity and retry later; 5xx responses aren't billed"
          ],
          "metrics": {
            "kind": "remote",
            "measured": false
          },
          "reviewCount": 8,
          "avgRating": 3.5,
          "history": [
            {
              "basis": "public evidence",
              "confidence": "medium",
              "grade": "BB",
              "methodology": "0.3",
              "pending": [
                "performance",
                "tasks"
              ],
              "run": "2026-10-01",
              "runLabel": "October 2026 research run",
              "score": 75.7
            }
          ],
          "editorialScores": {
            "ergonomics": 80,
            "maintenance": 72,
            "payments": 40,
            "reliability": 100,
            "schema": 64,
            "security": 77,
            "transparency": 71
          },
          "provenanceScore": 100
        },
        "connect": {
          "install": "pip install groq   # or: npm i groq-sdk",
          "http": "curl https://api.groq.com/openai/v1/chat/completions \\\n  -H \"Authorization: Bearer $GROQ_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"openai/gpt-oss-120b\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'"
        },
        "letme": {
          "capability": "https://letme.dev/inference.llm",
          "tool": "https://letme.dev/groq"
        },
        "area": "models",
        "provenance": {
          "legalEntity": "Groq LLC",
          "domain": "groq.com",
          "domainRegistered": "2007-07-22",
          "domainNote": "groq.com was registered in 2007, before Groq existed. Customers in the EEA contract with Groq UK Limited.",
          "endpointOnVendorDomain": true,
          "terms": "https://console.groq.com/docs/legal/services-agreement",
          "privacy": "https://groq.com/privacy-policy",
          "statusPage": "https://groqstatus.com",
          "changelog": "https://console.groq.com/docs/changelog",
          "securityTxt": "valid",
          "checked": "2026-09-26",
          "score": 100
        },
        "pageJsonUrl": "https://www.anchorterminal.com/tools/groq.json",
        "live": {
          "slug": "groq",
          "probe": {
            "target": "https://api.groq.com/openai/v1",
            "method": "get",
            "lastAt": "2026-10-05T00:57:21.12760705Z",
            "lastOk": true,
            "lastStatus": 404,
            "lastMs": 177,
            "authRequired": false,
            "uptime24h": 100,
            "uptime30d": 100,
            "p50ms24h": 189,
            "p95ms24h": 282,
            "samples24h": 272,
            "samples30d": 2067,
            "days": [
              {
                "date": "2026-09-27",
                "probes": 132,
                "ok": 132
              },
              {
                "date": "2026-09-28",
                "probes": 285,
                "ok": 285
              },
              {
                "date": "2026-09-29",
                "probes": 286,
                "ok": 286
              },
              {
                "date": "2026-09-30",
                "probes": 286,
                "ok": 286
              },
              {
                "date": "2026-10-01",
                "probes": 276,
                "ok": 276
              },
              {
                "date": "2026-10-02",
                "probes": 248,
                "ok": 248
              },
              {
                "date": "2026-10-03",
                "probes": 271,
                "ok": 271
              },
              {
                "date": "2026-10-04",
                "probes": 272,
                "ok": 272
              },
              {
                "date": "2026-10-05",
                "probes": 11,
                "ok": 11
              }
            ]
          },
          "vendorStatus": {
            "page": "https://groqstatus.com",
            "indicator": "none",
            "summary": "All Systems Operational",
            "checkedAt": "2026-10-05T00:53:52.255292722Z"
          },
          "versions": [
            {
              "registry": "github",
              "name": "groq/groq-python",
              "version": "v1.7.0",
              "released": "2026-08-26",
              "seenAt": "2026-10-04T16:29:18.203035455Z"
            },
            {
              "registry": "npm",
              "name": "groq-sdk",
              "version": "1.6.0",
              "seenAt": "2026-10-04T16:29:17.397090834Z"
            },
            {
              "registry": "pypi",
              "name": "groq",
              "version": "1.7.0",
              "released": "2026-08-26",
              "seenAt": "2026-10-04T16:29:17.209705681Z"
            }
          ],
          "githubStars": 621,
          "npmWeekly": 1066721,
          "pypiWeekly": 4627754,
          "securityTxt": {
            "url": "https://groq.com/.well-known/security.txt",
            "state": "valid",
            "checkedAt": "2026-10-04T15:15:49.828484463Z"
          },
          "llmsTxt": {
            "url": "https://console.groq.com/llms.txt",
            "ok": true,
            "status": 200,
            "checkedAt": "2026-10-04T15:17:51.633684707Z"
          },
          "domain": {
            "domain": "groq.com",
            "registered": "2007-07-22",
            "source": "https://rdap.verisign.com/com/v1/domain/groq.com",
            "checkedAt": "2026-10-04T13:05:20.535748109Z"
          },
          "pages": [
            {
              "url": "https://console.groq.com/docs/changelog",
              "kind": "changelog",
              "status": 200,
              "checkedAt": "2026-10-04T15:42:10.138509482Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "ac2cb86ef05a"
            },
            {
              "url": "https://console.groq.com/docs/deprecations",
              "kind": "deprecations",
              "status": 200,
              "checkedAt": "2026-10-04T15:42:12.476136914Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "396a91396e58"
            },
            {
              "url": "https://groq.com/pricing",
              "kind": "pricing",
              "status": 304,
              "checkedAt": "2026-10-04T15:44:57.558519986Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "5c7b67286ad7"
            },
            {
              "url": "https://groq.com/privacy-policy",
              "kind": "privacy",
              "status": 304,
              "checkedAt": "2026-10-04T15:44:59.615189322Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "05dc8da7bc78"
            },
            {
              "url": "https://console.groq.com/docs/legal/services-agreement",
              "kind": "terms",
              "status": 200,
              "checkedAt": "2026-10-04T15:42:14.420808761Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "a0b93cf713d4"
            }
          ],
          "models": {
            "openai/gpt-oss-120b": {
              "openrouterId": "openai/gpt-oss-120b",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": true,
              "input": [
                "text"
              ],
              "promptCaching": false,
              "contextTokens": 131072,
              "maxOutput": 117964,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            },
            "openai/gpt-oss-20b": {
              "openrouterId": "openai/gpt-oss-20b",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": true,
              "input": [
                "text"
              ],
              "promptCaching": true,
              "contextTokens": 131072,
              "maxOutput": 32768,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            },
            "qwen/qwen3.8-27b": {
              "openrouterId": "qwen/qwen3.8-27b",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": true,
              "input": [
                "image",
                "text",
                "video"
              ],
              "promptCaching": true,
              "contextTokens": 1000000,
              "maxOutput": 131072,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            }
          },
          "updatedAt": "2026-10-05T00:57:21.12760705Z"
        }
      },
      {
        "slug": "blockrun-ai",
        "name": "BlockRun.AI",
        "vendor": "BlockRun, Inc.",
        "vendorUrl": "https://blockrun.ai",
        "kind": "mcp",
        "category": "inference",
        "summary": "Model and API gateway with an OpenAI-compatible interface, MCP support and per-request stablecoin payments through x402.",
        "url": "https://www.anchorterminal.com/tools/blockrun-ai",
        "markdownUrl": "https://www.anchorterminal.com/tools/blockrun-ai.md",
        "slimMarkdownUrl": "https://www.anchorterminal.com/tools/blockrun-ai.min.md",
        "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json",
        "repo": "https://github.com/BlockRunAI/blockrun-llm",
        "license": "MIT",
        "transports": [
          "stdio"
        ],
        "packages": [
          {
            "registry": "pypi",
            "name": "blockrun-llm"
          },
          {
            "registry": "npm",
            "name": "@blockrun/llm"
          },
          {
            "registry": "npm",
            "name": "@blockrun/mcp"
          }
        ],
        "auth": "mixed",
        "authNotes": "Either an API key backed by prepaid card credit (user.blockrun.ai) or a non-custodial wallet signing x402 USDC payments (Base mainnet at https://blockrun.ai/api, Solana at https://sol.blockrun.ai/api, testnets available).",
        "pricing": "usage",
        "pricingNotes": "Per-token LLM pricing by model ($0.20-$30 per 1M input, $0.40-$180 per 1M output per SDK README; site examples $10/$50 for Claude Fable 5.1, $4/$20 for GPT-5.6 Sol per 1M tokens); per-token chat models billed at zero platform margin since 2026-08-08, plus a flat $0.001 network fee per wallet call on Base since 2026-07-29 (the account rail and the Solana gateway charge no fee); images $0.015-$0.10; web search $0.011/search; some data endpoints $0.002-$0.0085 per call; six or seven free models (the vendor's repository says 6, its llms.txt names 7, after four NVIDIA free models retired on 2026-08-30); failed calls (400, 402, 429, 5xx) aren't charged; x402 in USDC on Base or Solana (https://blockrun.ai/docs/resources/changelog; https://blockrun.ai/docs/api-reference/errors; https://github.com/BlockRunAI/blockrun-mcp).",
        "priceSummary": "Pay per use",
        "where": "local",
        "x402": {
          "level": "yes",
          "evidence": "Core business model: x402 v2 micropayments in USDC (ERC-20 on Base mainnet, SPL on Solana) per request; the '~$0.002/call' figure could NOT be verified for LLM inference, which is per-token; $0.002 appears only for trading-market/stock data endpoints (https://github.com/BlockRunAI/blockrun-llm; https://github.com/BlockRunAI/awesome-blockrun)",
          "endpoints": [
            {
              "url": "https://blockrun.ai/api/v1/chat/completions",
              "priceUsd": null,
              "network": "eip155:8453"
            }
          ]
        },
        "toolCount": 19,
        "popularity": {
          "githubStars": 5,
          "npmWeekly": null,
          "pypiWeekly": 679,
          "asOf": "2026-09-26"
        },
        "docsUrl": "https://github.com/BlockRunAI/awesome-blockrun",
        "llmsTxt": "https://blockrun.ai/llms.txt",
        "openapi": "https://blockrun.ai/api/openapi",
        "capabilities": [
          "inference.llm",
          "web.search",
          "market.crypto"
        ],
        "tags": [
          "hosted",
          "x402",
          "inference",
          "openai-compatible"
        ],
        "lastRelease": "2026-09-29",
        "graded": true,
        "anchor": {
          "graded": true,
          "score": 72.5,
          "grade": "BB",
          "agentReady": true,
          "rank": 68,
          "ranked": true,
          "rankOf": 452,
          "categoryRank": 4,
          "methodology": "0.3",
          "run": "2026-10-01",
          "scores": {
            "ergonomics": 70,
            "maintenance": 85,
            "payments": 100,
            "reliability": 55,
            "schema": 75,
            "security": 70,
            "transparency": 66
          },
          "pending": [
            "performance",
            "tasks"
          ],
          "assessment": {
            "confidence": "medium",
            "date": "2026-10-01"
          },
          "negative": 0,
          "verdict": "x402 v2 on its own gateway, USDC on Base and Solana, with Base Sepolia for testing. The status page shows live checks only and keeps no incident history.",
          "strengths": [
            "x402 v2 on its own gateway, USDC on Base and Solana, with Base Sepolia for testing",
            "Rate limits and 429 headers published, and 400, 402, 429 and 5xx responses aren't charged",
            "Privacy policy says prompts aren't stored past the request and aren't used for training, with request metadata kept 30 days",
            "The MCP server marks every one of its 19 tools with readOnlyHint or destructiveHint, and trades need `confirm:true`",
            "Dated gateway changelog with entries most weeks, last on 2026-09-29"
          ],
          "weaknesses": [
            "The status page shows live checks only and keeps no incident history",
            "The terms say 'We do not commit to any particular uptime', and there's no SLA",
            "Models are removed on the day, with no notice period, and the terms let providers withdraw a model at any time",
            "No subprocessor list or data locations, and the privacy footer names a different entity from the terms",
            "The wallet key controls the whole balance and sits in a local file or environment variable"
          ],
          "agentNotes": [
            "Fund a dedicated wallet with a small USDC balance. The balance is the spending cap",
            "Use `blockrun_wallet` delegate with `agent_limit` before handing a sub-agent the server",
            "On a 429, wait `Retry-After` and read `X-RateLimit-Source` to fail over to the same tier on another provider",
            "Call `blockrun_models` before hard-coding a model name, since models are removed without notice",
            "Use `mode:\"free\"` for drafts and classification, paid models for generation"
          ],
          "metrics": {
            "kind": "remote",
            "measured": false
          },
          "reviewCount": 2,
          "avgRating": 3.5,
          "history": [
            {
              "basis": "public evidence",
              "confidence": "medium",
              "grade": "BB",
              "methodology": "0.3",
              "pending": [
                "performance",
                "tasks"
              ],
              "run": "2026-10-01",
              "runLabel": "October 2026 research run",
              "score": 72.5
            }
          ],
          "editorialScores": {
            "ergonomics": 70,
            "maintenance": 85,
            "payments": 100,
            "reliability": 55,
            "schema": 75,
            "security": 70,
            "transparency": 50
          },
          "provenanceScore": 82
        },
        "connect": {
          "claudeCode": "claude mcp add blockrun -- npx -y @blockrun/mcp",
          "config": {
            "mcpServers": {
              "blockrun": {
                "args": [
                  "-y",
                  "@blockrun/mcp"
                ],
                "command": "npx",
                "env": {
                  "BLOCKRUN_WALLET_KEY": "${BLOCKRUN_WALLET_KEY}"
                }
              }
            }
          },
          "x402": "curl -s -i https://blockrun.ai/api/v1/chat/completions -H 'content-type: application/json' -d '{\"model\":\"\u003cmodel\u003e\",\"messages\":[{\"role\":\"user\",\"content\":\"hi\"}]}'\n# 402 Payment Required -\u003e PAYMENT-REQUIRED header -\u003e retry with PAYMENT-SIGNATURE"
        },
        "letme": {
          "capability": "https://letme.dev/inference.llm",
          "tool": "https://letme.dev/blockrun-ai"
        },
        "area": "models",
        "provenance": {
          "legalEntity": "BlockRun, Inc.",
          "domain": "blockrun.ai",
          "domainRegistered": "2025-10-06",
          "domainNote": "The terms (updated 2026-09-02) name BlockRun, Inc., a Delaware corporation headquartered in San Francisco, while the privacy policy footer says BlockRun Labs, Inc. No founders or street address are published. The domain is under a year old. The status page is self-hosted and keeps no incident history.",
          "endpointOnVendorDomain": null,
          "terms": "https://blockrun.ai/terms",
          "privacy": "https://blockrun.ai/privacy",
          "statusPage": "https://blockrun.ai/status",
          "changelog": "https://blockrun.ai/docs/resources/changelog",
          "securityTxt": "valid",
          "checked": "2026-10-02",
          "score": 82
        },
        "pageJsonUrl": "https://www.anchorterminal.com/tools/blockrun-ai.json",
        "live": {
          "slug": "blockrun-ai",
          "vendorStatus": {
            "page": "https://blockrun.ai/status",
            "indicator": "unknown",
            "summary": "no machine-readable status found",
            "checkedAt": "2026-10-04T21:39:52.03497912Z"
          },
          "versions": [
            {
              "registry": "github",
              "name": "BlockRunAI/blockrun-llm",
              "version": "v1.17.1",
              "released": "2026-09-30",
              "seenAt": "2026-10-04T16:22:29.493424562Z"
            },
            {
              "registry": "npm",
              "name": "@blockrun/llm",
              "version": "3.19.1",
              "seenAt": "2026-10-04T16:22:27.267146085Z"
            },
            {
              "registry": "npm",
              "name": "@blockrun/mcp",
              "version": "0.54.0",
              "seenAt": "2026-10-04T16:22:28.075333076Z"
            },
            {
              "registry": "pypi",
              "name": "blockrun-llm",
              "version": "1.18.1",
              "released": "2026-10-02",
              "seenAt": "2026-10-04T16:22:27.081231057Z"
            }
          ],
          "githubStars": 5,
          "npmWeekly": 2979,
          "pypiWeekly": 469,
          "securityTxt": {
            "url": "https://blockrun.ai/.well-known/security.txt",
            "state": "valid",
            "expires": "2027-10-04T15:15:38.334Z",
            "checkedAt": "2026-10-04T15:15:38.196553355Z"
          },
          "llmsTxt": {
            "url": "https://blockrun.ai/llms.txt",
            "ok": true,
            "status": 200,
            "checkedAt": "2026-10-04T15:17:21.142275374Z"
          },
          "domain": {
            "domain": "blockrun.ai",
            "registered": "2025-10-06",
            "source": "https://rdap.identitydigital.services/rdap/domain/blockrun.ai",
            "checkedAt": "2026-10-04T13:10:06.086473367Z"
          },
          "pages": [
            {
              "url": "https://blockrun.ai/changelog",
              "kind": "changelog",
              "status": 200,
              "checkedAt": "2026-10-01T13:11:21.906696649Z",
              "changedAt": "2026-09-30T13:09:43.712367412Z",
              "fingerprint": "658ca7fbc8ce"
            },
            {
              "url": "https://blockrun.ai/docs/resources/changelog",
              "kind": "changelog",
              "status": 200,
              "checkedAt": "2026-10-04T15:41:34.46216301Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "9904d3214059"
            },
            {
              "url": "https://blockrun.ai/privacy",
              "kind": "privacy",
              "status": 200,
              "checkedAt": "2026-10-04T15:41:36.861379666Z",
              "changedAt": "2026-10-02T15:17:58.030081399Z",
              "fingerprint": "88c624a6ce29"
            },
            {
              "url": "https://blockrun.ai/terms",
              "kind": "terms",
              "status": 200,
              "checkedAt": "2026-10-04T15:41:38.615219916Z",
              "changedAt": "2026-10-02T15:17:59.772160605Z",
              "fingerprint": "277af29b5c6e"
            }
          ],
          "updatedAt": "2026-10-04T21:39:52.03497912Z"
        }
      },
      {
        "slug": "mistral-api",
        "name": "Mistral AI API",
        "vendor": "Mistral AI",
        "vendorUrl": "https://mistral.ai",
        "kind": "model",
        "category": "inference",
        "summary": "Mistral's API for its open-weight and proprietary models, with EU and US regional endpoints.",
        "url": "https://www.anchorterminal.com/tools/mistral-api",
        "markdownUrl": "https://www.anchorterminal.com/tools/mistral-api.md",
        "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mistral-api.min.md",
        "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mistral-api.json",
        "repo": "https://github.com/mistralai/client-python",
        "license": "Apache-2.0 (SDKs)",
        "transports": [
          "http"
        ],
        "remoteUrl": "https://api.mistral.ai/v1",
        "packages": [
          {
            "registry": "pypi",
            "name": "mistralai"
          },
          {
            "registry": "npm",
            "name": "@mistralai/mistralai"
          }
        ],
        "auth": "api-key",
        "authNotes": "Bearer key. Regional EU and US endpoints are opt-in.",
        "pricing": "freemium",
        "pricingNotes": "Free Experiment tier with no card, but a phone number, and its data may be used for training. Cached input 10% of the input price, batch half price, regional endpoints 1.1x. Also resells Z.ai GLM 5.3 at $1.40/$4.40 (https://mistral.ai/pricing/api/).",
        "priceSummary": "from $0.10 / 1M in",
        "where": "hosted",
        "x402": {
          "level": "no",
          "endpoints": []
        },
        "toolCount": null,
        "popularity": {
          "githubStars": 769,
          "npmWeekly": null,
          "pypiWeekly": null,
          "asOf": "2026-09-26"
        },
        "docsUrl": "https://docs.mistral.ai",
        "rateLimitsUrl": "https://docs.mistral.ai/admin/user-management-finops/tier",
        "llmsTxt": "https://docs.mistral.ai/llms.txt",
        "openapi": "https://docs.mistral.ai/openapi.yaml",
        "capabilities": [
          "inference.llm",
          "inference.open-weights"
        ],
        "tags": [
          "official",
          "hosted",
          "model",
          "eu",
          "open-weights",
          "free-tier",
          "openapi",
          "llms-txt"
        ],
        "lastRelease": "2026-09-30",
        "graded": true,
        "anchor": {
          "graded": true,
          "score": 71.3,
          "grade": "BB",
          "agentReady": true,
          "rank": 86,
          "ranked": true,
          "rankOf": 452,
          "categoryRank": 5,
          "methodology": "0.3",
          "run": "2026-10-01",
          "scores": {
            "ergonomics": 91,
            "maintenance": 88,
            "payments": 40,
            "reliability": 50,
            "schema": 93,
            "security": 66,
            "transparency": 82
          },
          "pending": [
            "performance",
            "tasks"
          ],
          "assessment": {
            "confidence": "medium",
            "date": "2026-10-01"
          },
          "negative": 0,
          "verdict": "Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.",
          "strengths": [
            "Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins",
            "Minimum 6 months' notice before a GA model retires, and retired ids return 404",
            "Workspace-scoped API keys with expiry dates, and service accounts bound to workspace roles",
            "Opt-in EU and US regional endpoints, at 1.1x",
            "Free Experiment tier with no card, and Batch at half price"
          ],
          "weaknesses": [
            "Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting",
            "The terms don't say whether the paid API trains by default",
            "Labs, preview and third-party models get only 1 month's notice",
            "Rate-limit numbers are only in the console, and no SLA found",
            "17 Completion, Conversations and Batch API incidents on the status page in August 2026, and an elevated error rate for 2 hours 40 minutes on 29 September"
          ],
          "agentNotes": [
            "Stay off `labs-*` and preview models for anything confidential",
            "Use the EU endpoint when data has to stay in Europe and budget the 10% uplift",
            "Treat a 404 on a model id as retirement and read the lifecycle page for the replacement",
            "Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output",
            "Read docs.mistral.ai/openapi.yaml for the request shapes instead of guessing from OpenAI's"
          ],
          "metrics": {
            "kind": "remote",
            "measured": false
          },
          "reviewCount": 2,
          "avgRating": 4,
          "history": [
            {
              "basis": "public evidence",
              "confidence": "medium",
              "grade": "BB",
              "methodology": "0.3",
              "pending": [
                "performance",
                "tasks"
              ],
              "run": "2026-10-01",
              "runLabel": "October 2026 research run",
              "score": 71.3
            }
          ],
          "editorialScores": {
            "ergonomics": 91,
            "maintenance": 88,
            "payments": 40,
            "reliability": 50,
            "schema": 93,
            "security": 66,
            "transparency": 68
          },
          "provenanceScore": 96
        },
        "connect": {
          "install": "pip install mistralai   # or: npm i @mistralai/mistralai",
          "http": "curl https://api.mistral.ai/v1/chat/completions \\\n  -H \"Authorization: Bearer $MISTRAL_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"mistral-medium-3-5\",\"messages\":[{\"role\":\"user\",\"content\":\"bonjour\"}]}'"
        },
        "letme": {
          "capability": "https://letme.dev/inference.llm",
          "tool": "https://letme.dev/mistral-api"
        },
        "sameCompany": [
          "mistral-embeddings",
          "mistral-moderation",
          "mistral-ocr"
        ],
        "area": "models",
        "provenance": {
          "legalEntity": "Mistral AI (RCS Paris 952 418 325)",
          "domain": "mistral.ai",
          "domainRegistered": "2019-05-15",
          "endpointOnVendorDomain": true,
          "terms": "https://legal.mistral.ai/terms/commercial-terms-of-service",
          "privacy": "https://legal.mistral.ai/terms/privacy-policy",
          "statusPage": "https://status.mistral.ai",
          "changelog": "https://docs.mistral.ai/resources/changelogs",
          "securityTxt": "valid",
          "checked": "2026-09-26",
          "score": 96
        },
        "pageJsonUrl": "https://www.anchorterminal.com/tools/mistral-api.json",
        "live": {
          "slug": "mistral-api",
          "probe": {
            "target": "https://api.mistral.ai/v1",
            "method": "get",
            "lastAt": "2026-10-05T00:57:24.098622942Z",
            "lastOk": true,
            "lastStatus": 404,
            "lastMs": 70,
            "authRequired": false,
            "uptime24h": 100,
            "uptime30d": 100,
            "p50ms24h": 69,
            "p95ms24h": 130,
            "samples24h": 272,
            "samples30d": 2067,
            "days": [
              {
                "date": "2026-09-27",
                "probes": 132,
                "ok": 132
              },
              {
                "date": "2026-09-28",
                "probes": 285,
                "ok": 285
              },
              {
                "date": "2026-09-29",
                "probes": 286,
                "ok": 286
              },
              {
                "date": "2026-09-30",
                "probes": 286,
                "ok": 286
              },
              {
                "date": "2026-10-01",
                "probes": 276,
                "ok": 276
              },
              {
                "date": "2026-10-02",
                "probes": 248,
                "ok": 248
              },
              {
                "date": "2026-10-03",
                "probes": 271,
                "ok": 271
              },
              {
                "date": "2026-10-04",
                "probes": 272,
                "ok": 272
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              {
                "date": "2026-10-05",
                "probes": 11,
                "ok": 11
              }
            ]
          },
          "vendorStatus": {
            "page": "https://status.mistral.ai",
            "indicator": "unknown",
            "summary": "no machine-readable status found",
            "checkedAt": "2026-10-04T21:40:15.565985756Z"
          },
          "versions": [
            {
              "registry": "github",
              "name": "mistralai/client-python",
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              "registry": "npm",
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              "version": "2.7.0",
              "seenAt": "2026-10-04T16:33:22.764694315Z"
            },
            {
              "registry": "pypi",
              "name": "mistralai",
              "version": "3.0.0",
              "released": "2026-09-28",
              "seenAt": "2026-10-04T16:33:22.654149935Z"
            }
          ],
          "githubStars": 770,
          "npmWeekly": 9114363,
          "pypiWeekly": 3373641,
          "securityTxt": {
            "url": "https://mistral.ai/.well-known/security.txt",
            "state": "valid",
            "expires": "2027-05-05T23:59:59.000Z",
            "checkedAt": "2026-10-04T15:15:48.706102345Z"
          },
          "llmsTxt": {
            "url": "https://docs.mistral.ai/llms.txt",
            "ok": true,
            "status": 200,
            "checkedAt": "2026-10-04T15:17:58.92519024Z"
          },
          "domain": {
            "domain": "mistral.ai",
            "registered": "2019-05-15",
            "source": "https://rdap.identitydigital.services/rdap/domain/mistral.ai",
            "checkedAt": "2026-10-04T13:08:59.683466691Z"
          },
          "pages": [
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              "kind": "deprecations",
              "status": 304,
              "checkedAt": "2026-10-04T15:43:49.308512254Z",
              "changedAt": "2026-09-30T13:10:08.406218426Z",
              "fingerprint": "c99ac06ec6e6"
            },
            {
              "url": "https://legal.mistral.ai/terms/commercial-terms-of-service",
              "kind": "deprecations",
              "status": 304,
              "checkedAt": "2026-10-04T15:45:28.95518104Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "227daf1e9929"
            },
            {
              "url": "https://mistral.ai/pricing/api/",
              "kind": "pricing",
              "status": 200,
              "checkedAt": "2026-10-04T15:46:00.312568088Z",
              "changedAt": "2026-09-30T13:10:31.535464631Z",
              "fingerprint": "50653a6ec4b5"
            },
            {
              "url": "https://legal.mistral.ai/terms/privacy-policy",
              "kind": "privacy",
              "status": 200,
              "checkedAt": "2026-10-04T15:45:31.171440338Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "e74211012ef6"
            }
          ],
          "models": {
            "ministral-3b-2512": {
              "openrouterId": "mistralai/ministral-3b-2512",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": false,
              "input": [
                "image",
                "text"
              ],
              "promptCaching": true,
              "contextTokens": 131072,
              "maxOutput": 104857,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            },
            "mistral-large-2512": {
              "openrouterId": "mistralai/mistral-large-2512",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": false,
              "input": [
                "file",
                "image",
                "text"
              ],
              "promptCaching": true,
              "contextTokens": 262144,
              "maxOutput": 209715,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            },
            "mistral-medium-3-5": {
              "openrouterId": "mistralai/mistral-medium-3-5",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": true,
              "input": [
                "file",
                "image",
                "text"
              ],
              "promptCaching": false,
              "contextTokens": 262144,
              "maxOutput": 209715,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            },
            "mistral-small-2603": {
              "openrouterId": "mistralai/mistral-small-2603",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": true,
              "input": [
                "image",
                "text"
              ],
              "promptCaching": true,
              "contextTokens": 262144,
              "maxOutput": 209715,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            }
          },
          "updatedAt": "2026-10-05T00:57:24.098622942Z"
        }
      },
      {
        "slug": "openrouter",
        "name": "OpenRouter",
        "vendor": "OpenRouter",
        "vendorUrl": "https://openrouter.ai",
        "kind": "router",
        "category": "inference",
        "summary": "One OpenAI-compatible API in front of 80+ model providers, at the providers' own token prices, with fallbacks and routing controls.",
        "url": "https://www.anchorterminal.com/tools/openrouter",
        "markdownUrl": "https://www.anchorterminal.com/tools/openrouter.md",
        "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openrouter.min.md",
        "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openrouter.json",
        "repo": "https://github.com/OpenRouterTeam/typescript-sdk",
        "license": "Apache-2.0 (SDKs)",
        "transports": [
          "http"
        ],
        "remoteUrl": "https://openrouter.ai/api/v1",
        "packages": [
          {
            "registry": "npm",
            "name": "@openrouter/sdk"
          },
          {
            "registry": "pypi",
            "name": "openrouter"
          }
        ],
        "auth": "api-key",
        "authNotes": "Bearer key. OAuth PKCE lets an app get a key on a user's behalf.",
        "pricing": "usage",
        "pricingNotes": "No markup on tokens. The fee is on credit top-ups, 5.5% by card ($0.80 minimum) and 5% in crypto, 8% on Business. Bring your own key free up to $25,000 a month, then 5%. 25+ free models at 20 requests a minute and 50 a day, 1,000 a day after a $10 purchase (https://openrouter.ai/pricing).",
        "priceSummary": "5.5% fee",
        "where": "hosted",
        "x402": {
          "level": "no",
          "evidence": "Credits can be bought in USDC through Coinbase, but requests are paid from a prepaid balance, not per call.",
          "endpoints": []
        },
        "toolCount": null,
        "popularity": {
          "githubStars": 226,
          "npmWeekly": null,
          "pypiWeekly": null,
          "asOf": "2026-09-26"
        },
        "docsUrl": "https://openrouter.ai/docs",
        "rateLimitsUrl": "https://openrouter.ai/docs/api_reference/limits",
        "llmsTxt": "https://openrouter.ai/docs/llms.txt",
        "openapi": "https://openrouter.ai/docs/openapi/openapi.yaml",
        "capabilities": [
          "inference.llm",
          "inference.router"
        ],
        "tags": [
          "hosted",
          "router",
          "free-tier",
          "no-card",
          "openapi",
          "llms-txt",
          "crypto-topup"
        ],
        "lastRelease": "2026-10-01",
        "graded": true,
        "anchor": {
          "graded": true,
          "score": 68.8,
          "grade": "B",
          "agentReady": false,
          "rank": 119,
          "ranked": true,
          "rankOf": 452,
          "categoryRank": 6,
          "methodology": "0.3",
          "run": "2026-10-01",
          "scores": {
            "ergonomics": 85,
            "maintenance": 84,
            "payments": 40,
            "reliability": 55,
            "schema": 90,
            "security": 60,
            "transparency": 74
          },
          "pending": [
            "performance",
            "tasks"
          ],
          "assessment": {
            "confidence": "medium",
            "date": "2026-10-01"
          },
          "negative": 0,
          "verdict": "Public OpenAPI document, llms.txt with Markdown twins, and SDKs in TypeScript, Python and Go, all tagged on 1 October 2026. No machine payment. USDC top-ups go to a prepaid balance.",
          "strengths": [
            "Public OpenAPI document, llms.txt with Markdown twins, and SDKs in TypeScript, Python and Go, all tagged on 1 October 2026",
            "Per-request routing controls, fallback `models` lists, provider ordering, `zdr` and `max_price`",
            "429, 503 and some 402 responses carry `Retry-After`, and the SDKs honour it",
            "OpenRouter stores no prompts or responses unless you opt in",
            "Free models with no card, and Management API keys for minting and rotating keys in code"
          ],
          "weaknesses": [
            "No machine payment. USDC top-ups go to a prepaid balance",
            "`data_collection` defaults to 'allow', which admits providers that may store and train on prompts",
            "Mid-stream failures arrive inside a 200 response, and upstream providers may charge for prompt processing on a failed call",
            "No published SLA, and the status page gave us no readable history",
            "API changelog silent since 19 August 2026"
          ],
          "agentNotes": [
            "Set `provider.data_collection: \"deny\"` or `provider.zdr: true` when the prompt holds anything private",
            "Pass a `models` list so a failed provider falls through to the next one",
            "Honour `Retry-After` on 429 and 503, and check the stream body for errors even on a 200",
            "Set `max_price` so a routed request can't land on an expensive provider",
            "Free models allow 50 requests a day until $10 of credit has been bought. Check `GET /api/v1/key` for what's left"
          ],
          "metrics": {
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              "confidence": "medium",
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                "tasks"
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              "score": 68.8
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            "reliability": 55,
            "schema": 90,
            "security": 60,
            "transparency": 55
          },
          "provenanceScore": 92
        },
        "connect": {
          "install": "npm i @openrouter/sdk   # or any OpenAI client with base URL https://openrouter.ai/api/v1",
          "http": "curl https://openrouter.ai/api/v1/chat/completions \\\n  -H \"Authorization: Bearer $OPENROUTER_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"models\":[\"anthropic/claude-opus-5-5\",\"openai/gpt-6-sol\"],\"provider\":{\"zdr\":true},\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'"
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          "capability": "https://letme.dev/inference.llm",
          "tool": "https://letme.dev/openrouter"
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        "unitPrices": [
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            "item": "Card top-up fee",
            "unit": "pct",
            "usd": 5.5,
            "note": "$0.80 minimum"
          },
          {
            "item": "Crypto top-up fee",
            "unit": "pct",
            "usd": 5
          },
          {
            "item": "Bring your own key over $25,000 a month",
            "unit": "pct",
            "usd": 5
          }
        ],
        "provenance": {
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          "domain": "openrouter.ai",
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          "endpointOnVendorDomain": true,
          "terms": "https://openrouter.ai/terms",
          "privacy": "https://openrouter.ai/privacy",
          "statusPage": "https://status.openrouter.ai",
          "changelog": "https://openrouter.ai/docs/changelog",
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          "checked": "2026-09-26",
          "score": 92
        },
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              "status": 200,
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              "changedAt": "2026-10-04T15:46:31.877914222Z",
              "fingerprint": "2774bda6ed9e"
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              "url": "https://openrouter.ai/terms",
              "kind": "terms",
              "status": 200,
              "checkedAt": "2026-10-04T15:46:33.871136275Z",
              "changedAt": "2026-10-04T15:46:33.871136275Z",
              "fingerprint": "43d5bca9ab2e"
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        "name": "Gemini Developer API",
        "vendor": "Google",
        "vendorUrl": "https://ai.google.dev",
        "kind": "model",
        "category": "inference",
        "summary": "Google's API for Gemini models, including content generation and agent interactions.",
        "url": "https://www.anchorterminal.com/tools/gemini-api",
        "markdownUrl": "https://www.anchorterminal.com/tools/gemini-api.md",
        "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-api.min.md",
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        "repo": "https://github.com/googleapis/python-genai",
        "license": "Apache-2.0 (SDKs)",
        "transports": [
          "http"
        ],
        "remoteUrl": "https://generativelanguage.googleapis.com/v1beta",
        "packages": [
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            "name": "google-genai"
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          {
            "registry": "npm",
            "name": "@google/genai"
          }
        ],
        "auth": "api-key",
        "authNotes": "`x-goog-api-key` header with a key from AI Studio. A Google account is needed to make one.",
        "pricing": "freemium",
        "pricingNotes": "Free tier on 3.8 Flash and Flash-Lite, not on 3.1 Pro preview, and free-tier content is used to improve Google products. 3.1 Pro preview costs $2/$12 per million tokens, $4/$18 over 200K. 3.8 Flash is $0.75/$3.75 until 2026-12-31, then $1.50/$7.50. Cached input 0.1x. Search grounding 5,000 free a month, then $14 per 1,000. Batch half price (https://ai.google.dev/gemini-api/docs/pricing).",
        "priceSummary": "from $0.25 / 1M in",
        "where": "hosted",
        "x402": {
          "level": "no",
          "evidence": "No machine payment. The free tier needs a Google account and paid use needs billing on a Cloud project.",
          "endpoints": []
        },
        "toolCount": null,
        "popularity": {
          "githubStars": 3992,
          "npmWeekly": null,
          "pypiWeekly": null,
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        },
        "docsUrl": "https://ai.google.dev/gemini-api/docs",
        "rateLimitsUrl": "https://ai.google.dev/gemini-api/docs/rate-limits",
        "llmsTxt": "https://ai.google.dev/gemini-api/docs/llms.txt",
        "capabilities": [
          "inference.llm"
        ],
        "tags": [
          "official",
          "hosted",
          "model",
          "free-tier",
          "no-card",
          "llms-txt"
        ],
        "lastRelease": "2026-09-22",
        "graded": true,
        "anchor": {
          "graded": true,
          "score": 62,
          "grade": "B",
          "agentReady": false,
          "rank": 223,
          "ranked": true,
          "rankOf": 452,
          "categoryRank": 7,
          "methodology": "0.3",
          "run": "2026-10-01",
          "scores": {
            "ergonomics": 85,
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            "payments": 40,
            "reliability": 40,
            "schema": 65,
            "security": 60,
            "transparency": 78
          },
          "pending": [
            "performance",
            "tasks"
          ],
          "assessment": {
            "confidence": "medium",
            "date": "2026-10-01"
          },
          "negative": 0,
          "verdict": "Free tier on 3.8 Flash and Flash-Lite with no billing account. Free-tier prompts and responses improve Google products and may be read by human reviewers.",
          "strengths": [
            "Free tier on 3.8 Flash and Flash-Lite with no billing account",
            "1,048,576-token context across the range and cached input at 0.1x",
            "Backoff guidance with jitter, and the Python SDK retries transient errors four times",
            "Keys can be restricted to the Gemini API and by IP or origin, and unrestricted keys are rejected from 28 May 2026"
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          "weaknesses": [
            "Free-tier prompts and responses improve Google products and may be read by human reviewers",
            "Per-model rate limits are only visible inside AI Studio",
            "No SLA and no zero-retention route found for the Developer API",
            "The only Pro model, `gemini-3.1-pro-preview`, is a preview and isn't on the free tier",
            "Shutdown dates are 'earliest possible' with no stated minimum notice"
          ],
          "agentNotes": [
            "Never send customer data through a free-tier key. Link billing first",
            "Budget 3.8 Flash at $1.50/$7.50 from 2027-01-01, not the introductory price",
            "Back off exponentially on 429 RESOURCE_EXHAUSTED and 503, and don't retry 400, 402 or 403",
            "Stop sending temperature, top_p and top_k. They've been deprecated since 2026-07-21",
            "Validate structured output yourself. The docs don't promise schema-constrained decoding"
          ],
          "metrics": {
            "kind": "remote",
            "measured": false
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          "reviewCount": 2,
          "avgRating": 3.5,
          "history": [
            {
              "basis": "public evidence",
              "confidence": "medium",
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            "reliability": 40,
            "schema": 65,
            "security": 60,
            "transparency": 55
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          "provenanceScore": 100
        },
        "connect": {
          "install": "pip install google-genai   # or: npm i @google/genai",
          "http": "curl \"https://generativelanguage.googleapis.com/v1beta/models/gemini-3.8-flash:generateContent\" \\\n  -H \"x-goog-api-key: $GEMINI_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"contents\":[{\"parts\":[{\"text\":\"hello\"}]}]}'"
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        "letme": {
          "capability": "https://letme.dev/inference.llm",
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        "sameCompany": [
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          "google-lyria",
          "google-speech-to-text",
          "google-adk",
          "google-secret-manager",
          "google-weather-api",
          "chrome-devtools-mcp",
          "google-maps-platform",
          "google-cloud-translation",
          "google-calendar-api",
          "google-drive-api",
          "gemini-cli"
        ],
        "area": "models",
        "unitPrices": [
          {
            "item": "Search grounding over 5,000 a month",
            "unit": "1k-requests",
            "usd": 14
          }
        ],
        "provenance": {
          "legalEntity": "Google LLC",
          "domain": "google.com",
          "domainRegistered": "1997-09-15",
          "domainNote": "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997.",
          "endpointOnVendorDomain": true,
          "terms": "https://ai.google.dev/gemini-api/terms",
          "privacy": "https://policies.google.com/privacy",
          "statusPage": "https://aistudio.google.com/status",
          "changelog": "https://ai.google.dev/gemini-api/docs/changelog",
          "securityTxt": "valid",
          "checked": "2026-09-26",
          "score": 100
        },
        "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-api.json",
        "live": {
          "slug": "gemini-api",
          "probe": {
            "target": "https://generativelanguage.googleapis.com/v1beta",
            "method": "get",
            "lastAt": "2026-10-05T00:57:20.770568088Z",
            "lastOk": true,
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            "authRequired": false,
            "uptime24h": 100,
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                "date": "2026-09-28",
                "probes": 285,
                "ok": 285
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              {
                "date": "2026-09-29",
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                "date": "2026-09-30",
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                "date": "2026-10-02",
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                "ok": 248
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              {
                "date": "2026-10-03",
                "probes": 271,
                "ok": 271
              },
              {
                "date": "2026-10-04",
                "probes": 272,
                "ok": 272
              },
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                "date": "2026-10-05",
                "probes": 11,
                "ok": 11
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            ]
          },
          "vendorStatus": {
            "page": "https://aistudio.google.com/status",
            "indicator": "unknown",
            "summary": "no machine-readable status found",
            "checkedAt": "2026-10-04T21:40:04.451600834Z"
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          "versions": [
            {
              "registry": "github",
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          "securityTxt": {
            "url": "https://google.com/.well-known/security.txt",
            "state": "valid",
            "expires": "2030-04-01T00:00:00z",
            "checkedAt": "2026-10-04T15:15:53.387118101Z"
          },
          "llmsTxt": {
            "url": "https://ai.google.dev/gemini-api/docs/llms.txt",
            "ok": true,
            "status": 200,
            "checkedAt": "2026-10-04T15:17:48.091414307Z"
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          "domain": {
            "domain": "google.com",
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            "source": "https://rdap.verisign.com/com/v1/domain/google.com",
            "checkedAt": "2026-10-04T13:05:50.737985829Z"
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          "pages": [
            {
              "url": "https://ai.google.dev/gemini-api/docs/changelog",
              "kind": "changelog",
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              "checkedAt": "2026-10-04T15:41:07.067670445Z",
              "changedAt": "2026-10-02T15:17:28.616572865Z",
              "fingerprint": "3df4ca98e1c2"
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            {
              "url": "https://ai.google.dev/gemini-api/docs/deprecations",
              "kind": "deprecations",
              "status": 200,
              "checkedAt": "2026-10-04T15:41:09.35183854Z",
              "changedAt": "2026-10-01T13:11:11.475956744Z",
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            {
              "url": "https://ai.google.dev/gemini-api/docs/pricing",
              "kind": "deprecations",
              "status": 200,
              "checkedAt": "2026-10-04T15:41:11.521756705Z",
              "changedAt": "2026-10-01T13:11:13.52134724Z",
              "fingerprint": "d38998ac005d"
            },
            {
              "url": "https://ai.google.dev/gemini-api/terms",
              "kind": "terms",
              "status": 200,
              "checkedAt": "2026-10-04T15:41:13.431481713Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "95a70f72fb73"
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          ],
          "models": {
            "gemini-3.1-flash-lite": {
              "openrouterId": "google/gemini-3.1-flash-lite",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": true,
              "input": [
                "audio",
                "file",
                "image",
                "text",
                "video"
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              "promptCaching": true,
              "contextTokens": 1048576,
              "maxOutput": 65536,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            },
            "gemini-3.1-pro-preview": {
              "openrouterId": "google/gemini-3.1-pro-preview",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": true,
              "input": [
                "audio",
                "file",
                "image",
                "text",
                "video"
              ],
              "promptCaching": true,
              "contextTokens": 1048576,
              "maxOutput": 65536,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            },
            "gemini-3.5-flash-lite": {
              "openrouterId": "google/gemini-3.5-flash-lite",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": true,
              "input": [
                "audio",
                "file",
                "image",
                "text",
                "video"
              ],
              "promptCaching": true,
              "contextTokens": 1048576,
              "maxOutput": 65536,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            },
            "gemini-3.8-flash": {
              "openrouterId": "google/gemini-3.8-flash",
              "tools": true,
              "structuredOutputs": true,
              "jsonMode": true,
              "reasoning": true,
              "input": [
                "audio",
                "file",
                "image",
                "text",
                "video"
              ],
              "promptCaching": true,
              "contextTokens": 1048576,
              "maxOutput": 65536,
              "checkedAt": "2026-10-04T21:56:15.872733218Z"
            }
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          "updatedAt": "2026-10-05T00:57:20.770568088Z"
        }
      },
      {
        "slug": "deepseek-api",
        "name": "DeepSeek API",
        "vendor": "DeepSeek",
        "vendorUrl": "https://www.deepseek.com",
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        "category": "inference",
        "summary": "Hangzhou lab's API for the V4 model family, in both OpenAI and Anthropic request formats, with off-peak pricing.",
        "url": "https://www.anchorterminal.com/tools/deepseek-api",
        "markdownUrl": "https://www.anchorterminal.com/tools/deepseek-api.md",
        "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepseek-api.min.md",
        "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepseek-api.json",
        "transports": [
          "http"
        ],
        "remoteUrl": "https://api.deepseek.com",
        "packages": [],
        "auth": "api-key",
        "authNotes": "Bearer key against a prepaid balance. An Anthropic-format base URL is at `/anthropic`.",
        "pricing": "usage",
        "pricingNotes": "Prepaid balance, and any granted balance is spent first. Prices shown are peak (01:00 to 04:00 and 06:00 to 10:00 UTC, Monday to Friday, except Chinese public holidays). Off-peak is half price. Disk cache on by default, with cache hits at $0.044 per 1M input tokens on V4 Pro and $0.006 on V4.1 Flash at peak (https://api-docs.deepseek.com/quick_start/pricing).",
        "priceSummary": "from $0.30 / 1M in",
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        "x402": {
          "level": "no",
          "endpoints": []
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          "pypiWeekly": null,
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        "docsUrl": "https://api-docs.deepseek.com",
        "rateLimitsUrl": "https://api-docs.deepseek.com/quick_start/rate_limit",
        "capabilities": [
          "inference.llm",
          "inference.open-weights"
        ],
        "tags": [
          "hosted",
          "model",
          "open-weights",
          "prepaid"
        ],
        "lastRelease": "2026-09-10",
        "graded": true,
        "anchor": {
          "graded": true,
          "score": 47.1,
          "grade": "D",
          "agentReady": false,
          "rank": 386,
          "ranked": true,
          "rankOf": 452,
          "categoryRank": 8,
          "methodology": "0.3",
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          "scores": {
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            "performance",
            "tasks"
          ],
          "assessment": {
            "confidence": "medium",
            "date": "2026-10-01"
          },
          "negative": -3,
          "negativeNotes": [
            "On 2026-09-10 DeepSeek retired V4 Flash and routed `deepseek-v4-flash` and `deepseek-v4-flash-vision-exp` to V4.1 Flash the same day, so callers pinned to those names got a different model without notice (https://api-docs.deepseek.com/updates)"
          ],
          "verdict": "Accepts both OpenAI and Anthropic request formats. 32 status incidents between 2026-07-22 and 2026-10-02, including a three-hour partial outage of the V4.1 Flash API on 2026-09-14.",
          "strengths": [
            "Accepts both OpenAI and Anthropic request formats",
            "1M-token context and up to 384K output",
            "Off-peak prices are half the peak price, and the disk cache is on by default",
            "Strict schema-enforced tool calls, in beta at the `/beta` base URL",
            "`deepseek-chat` and `deepseek-reasoner` got three months' notice before their 2026-07-24 shutdown"
          ],
          "weaknesses": [
            "32 status incidents between 2026-07-22 and 2026-10-02, including a three-hour partial outage of the V4.1 Flash API on 2026-09-14",
            "Personal data trains models unless you email to opt out, and data is stored in the PRC with no retention period stated",
            "V4 Flash names were rerouted to V4.1 Flash on the day of release, 2026-09-10, with no earlier entry on the updates page",
            "A V4 Pro shutdown for 2026-09-14 was announced on 2026-08-13 and withdrawn on 2026-09-10",
            "No OpenAPI document, no llms.txt, no security.txt, no batch API, no official SDKs and no free tier"
          ],
          "agentNotes": [
            "Send only data you'd be happy to publish",
            "Schedule bulk work off-peak for half price. Peak runs 01:00 to 04:00 and 06:00 to 10:00 UTC on weekdays, except Chinese public holidays",
            "Set `max_tokens` yourself. It defaults to 8K without thinking and 64K with it, against a 384K ceiling",
            "For schema-checked tool arguments use base URL `https://api.deepseek.com/beta`, set `strict: true`, mark every property required and set `additionalProperties: false`",
            "Keep a fallback provider and check the `model` field. 429 carries no Retry-After, and `deepseek-v4-flash` now answers as V4.1 Flash"
          ],
          "metrics": {
            "kind": "remote",
            "measured": false
          },
          "reviewCount": 2,
          "avgRating": 2,
          "history": [
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              "basis": "public evidence",
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              "pending": [
                "performance",
                "tasks"
              ],
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          ],
          "editorialScores": {
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            "reliability": 65,
            "schema": 49,
            "security": 30,
            "transparency": 45
          },
          "provenanceScore": 90
        },
        "connect": {
          "http": "curl https://api.deepseek.com/chat/completions \\\n  -H \"Authorization: Bearer $DEEPSEEK_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"deepseek-v4-pro\",\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'"
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        "area": "models",
        "provenance": {
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          "domainRegistered": "2000-08-13",
          "domainNote": "deepseek.com was registered in 2000, long before the company, so domain age flatters it.",
          "endpointOnVendorDomain": true,
          "terms": "https://cdn.deepseek.com/policies/en-US/deepseek-open-platform-terms-of-service.html",
          "privacy": "https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html",
          "statusPage": "https://status.deepseek.com",
          "changelog": "https://api-docs.deepseek.com/updates",
          "securityTxt": "none",
          "checked": "2026-09-26",
          "score": 90
        },
        "pageJsonUrl": "https://www.anchorterminal.com/tools/deepseek-api.json",
        "live": {
          "slug": "deepseek-api",
          "probe": {
            "target": "https://api.deepseek.com",
            "method": "get",
            "lastAt": "2026-10-05T00:57:19.287546008Z",
            "lastOk": true,
            "lastStatus": 401,
            "lastMs": 281,
            "lastNote": "asks for credentials",
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                "ok": 272
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                "ok": 11
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          },
          "vendorStatus": {
            "page": "https://status.deepseek.com",
            "indicator": "unknown",
            "summary": "no machine-readable status found",
            "checkedAt": "2026-10-04T21:39:56.35667203Z"
          },
          "securityTxt": {
            "url": "https://deepseek.com/.well-known/security.txt",
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            "checkedAt": "2026-10-04T15:15:44.182578488Z"
          },
          "domain": {
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            "source": "https://rdap.verisign.com/com/v1/domain/deepseek.com",
            "checkedAt": "2026-10-04T13:07:10.74402119Z"
          },
          "pages": [
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              "status": 304,
              "checkedAt": "2026-10-04T15:41:16.200226408Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "577ca8c2ab97"
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              "kind": "pricing",
              "status": 304,
              "checkedAt": "2026-10-04T15:41:13.292918666Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "f05e491ec01b"
            },
            {
              "url": "https://cdn.deepseek.com/policies/en-US/deepseek-privacy-policy.html",
              "kind": "privacy",
              "status": 304,
              "checkedAt": "2026-10-04T15:41:48.821877644Z",
              "changedAt": "0001-01-01T00:00:00Z",
              "fingerprint": "a8cd8da7a4f7"
            },
            {
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              "kind": "terms",
              "status": 304,
              "checkedAt": "2026-10-04T15:41:46.806765272Z",
              "changedAt": "0001-01-01T00:00:00Z",
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          ],
          "models": {
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              "tools": true,
              "structuredOutputs": true,
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  "markdown": "Frontier and open-weight model APIs, fast inference hardware and routers that sit in front of many providers. Compared on price, context, tool use, data handling and how often models get retired under you.\n\n- Tools ranked: 8 · agent-ready (BB or better): 5 · accept x402: 1 · hosted endpoints: 7 · desk reviews by the panel: 26\n- JSON: https://www.anchorterminal.com/api/v1/tools.json (list) · https://www.anchorterminal.com/api/v1/rankings.json (ranked) · https://www.anchorterminal.com/api/v1/x402.json (payable) · https://www.anchorterminal.com/api/v1/capabilities.json (by capability)\n- Grades run AA, A, BB, B, C, D, E, F · methodology: https://www.anchorterminal.com/benchmark/\n\n- Capabilities in this category: inference.llm, inference.router, inference.fast, inference.open-weights\n- https://letme.dev/inference.llm picks the top-graded tool in this list and says how to call it direct; calling through letme comes later (https://www.anchorterminal.com/letme/index.md)\n\n## Ranking\n\n| # | Tool | Vendor | Kind | Category | Grade | Score | Confidence | x402 | Auth | Where | Reviews | Page |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| 2 | OpenAI API | OpenAI | Model API | Models | A | 82.8 | medium | no | API key | hosted | 3.5/5 (8) | https://www.anchorterminal.com/tools/openai-api.md |\n| 18 | Claude API | Anthropic | Model API | Models | BB | 77.6 | medium | no | API key | hosted | none | https://www.anchorterminal.com/tools/anthropic-api.md |\n| 31 | GroqCloud | Groq | Model API | Models | BB | 75.7 | medium | no | API key | hosted | 3.5/5 (8) | https://www.anchorterminal.com/tools/groq.md |\n| 68 | BlockRun.AI | BlockRun, Inc. | MCP server | Models | BB | 72.5 | medium | yes | OAuth or key | local | 3.5/5 (2) | https://www.anchorterminal.com/tools/blockrun-ai.md |\n| 86 | Mistral AI API | Mistral AI | Model API | Models | BB | 71.3 | medium | no | API key | hosted | 4/5 (2) | https://www.anchorterminal.com/tools/mistral-api.md |\n| 119 | OpenRouter | OpenRouter | Model router | Models | B | 68.8 | medium | no | API key | hosted | 3/5 (2) | https://www.anchorterminal.com/tools/openrouter.md |\n| 223 | Gemini Developer API | Google | Model API | Models | B | 62 | medium | no | API key | hosted | 3.5/5 (2) | https://www.anchorterminal.com/tools/gemini-api.md |\n| 386 | DeepSeek API | DeepSeek | Model API | Models | D | 47.1 | medium | no | API key | hosted | 2/5 (2) | https://www.anchorterminal.com/tools/deepseek-api.md |\n\nScores are from public evidence against the published checklist (https://www.anchorterminal.com/benchmark/), with Performance and Task success pending. p95 latency and context cost come from our probes, which haven't run yet.\n\n## Summaries\n\n### 2. OpenAI API, A (82.8)\n\nOpenAI's API for accessing its models through Responses, Chat Completions and Batch endpoints. Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026.\n\n- Page: https://www.anchorterminal.com/tools/openai-api · Markdown: https://www.anchorterminal.com/tools/openai-api.md · JSON: https://www.anchorterminal.com/api/v1/tools/openai-api.json\n- Capabilities: inference.llm · endpoint: `https://api.openai.com/v1`\n\n### 18. Claude API, BB (77.6)\n\nAnthropic's Messages API for Claude, with server-side tools, an MCP connector and computer use. Structured outputs and strict tool use are GA, with grammar-constrained sampling on every current model. Three incidents of 80 minutes or more with elevated errors across several models between 24 August and 22 September 2026.\n\n- Page: https://www.anchorterminal.com/tools/anthropic-api · Markdown: https://www.anchorterminal.com/tools/anthropic-api.md · JSON: https://www.anchorterminal.com/api/v1/tools/anthropic-api.json\n- Capabilities: inference.llm · endpoint: `https://api.anthropic.com/v1/messages`\n\n### 31. GroqCloud, BB (75.7)\n\nOpenAI-compatible inference API serving open-weight models on Groq's processors. Free plan with no card, at 30 requests a minute and 1,000 a day on gpt-oss. Four model shutdown dates between 2026-07-17 and 2026-09-21, with no stated minimum notice.\n\n- Page: https://www.anchorterminal.com/tools/groq · Markdown: https://www.anchorterminal.com/tools/groq.md · JSON: https://www.anchorterminal.com/api/v1/tools/groq.json\n- Capabilities: inference.llm, inference.fast, inference.open-weights · endpoint: `https://api.groq.com/openai/v1`\n\n### 68. BlockRun.AI, BB (72.5)\n\nModel and API gateway with an OpenAI-compatible interface, MCP support and per-request stablecoin payments through x402. x402 v2 on its own gateway, USDC on Base and Solana, with Base Sepolia for testing. The status page shows live checks only and keeps no incident history.\n\n- Page: https://www.anchorterminal.com/tools/blockrun-ai · Markdown: https://www.anchorterminal.com/tools/blockrun-ai.md · JSON: https://www.anchorterminal.com/api/v1/tools/blockrun-ai.json\n- Capabilities: inference.llm, web.search, market.crypto\n\n### 86. Mistral AI API, BB (71.3)\n\nMistral's API for its open-weight and proprietary models, with EU and US regional endpoints. Public OpenAPI document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins. Data sent to Labs and preview models may be used for training from 2026-09-25, whatever the opt-out or zero-retention setting.\n\n- Page: https://www.anchorterminal.com/tools/mistral-api · Markdown: https://www.anchorterminal.com/tools/mistral-api.md · JSON: https://www.anchorterminal.com/api/v1/tools/mistral-api.json\n- Capabilities: inference.llm, inference.open-weights · endpoint: `https://api.mistral.ai/v1`\n\n### 119. OpenRouter, B (68.8)\n\nOne OpenAI-compatible API in front of 80+ model providers, at the providers' own token prices, with fallbacks and routing controls. Public OpenAPI document, llms.txt with Markdown twins, and SDKs in TypeScript, Python and Go, all tagged on 1 October 2026. No machine payment. USDC top-ups go to a prepaid balance.\n\n- Page: https://www.anchorterminal.com/tools/openrouter · Markdown: https://www.anchorterminal.com/tools/openrouter.md · JSON: https://www.anchorterminal.com/api/v1/tools/openrouter.json\n- Capabilities: inference.llm, inference.router · endpoint: `https://openrouter.ai/api/v1`\n\n### 223. Gemini Developer API, B (62)\n\nGoogle's API for Gemini models, including content generation and agent interactions. Free tier on 3.8 Flash and Flash-Lite with no billing account. Free-tier prompts and responses improve Google products and may be read by human reviewers.\n\n- Page: https://www.anchorterminal.com/tools/gemini-api · Markdown: https://www.anchorterminal.com/tools/gemini-api.md · JSON: https://www.anchorterminal.com/api/v1/tools/gemini-api.json\n- Capabilities: inference.llm · endpoint: `https://generativelanguage.googleapis.com/v1beta`\n\n### 386. DeepSeek API, D (47.1)\n\nHangzhou lab's API for the V4 model family, in both OpenAI and Anthropic request formats, with off-peak pricing. Accepts both OpenAI and Anthropic request formats. 32 status incidents between 2026-07-22 and 2026-10-02, including a three-hour partial outage of the V4.1 Flash API on 2026-09-14.\n\n- Page: https://www.anchorterminal.com/tools/deepseek-api · Markdown: https://www.anchorterminal.com/tools/deepseek-api.md · JSON: https://www.anchorterminal.com/api/v1/tools/deepseek-api.json\n- Capabilities: inference.llm, inference.open-weights · endpoint: `https://api.deepseek.com`\n\n## Indexed, not reviewed (287)\n\nSorted into this category from public catalogues, with facts and our own checks but no score, grade or rank (https://www.anchorterminal.com/indexed/index.md).\n\n| Listing | Kind | What it does | Why it's here |\n| --- | --- | --- | --- |\n| [3DPACK.ING — Container \u0026 Truck Load Planning](https://www.anchorterminal.com/tools/3dpack-container-loading.md) | MCP server | Container load planning in Claude \u0026 ChatGPT: what fits, how full, a labelled 3D plan in the chat. | vendor's own |\n| [3dstreet](https://www.anchorterminal.com/tools/3dstreet.md) | MCP server | Drive an open 3DStreet scene tab from Claude Desktop or Claude Code via MCP tool calls. | vendor's own |\n| [AdButler](https://www.anchorterminal.com/tools/adbutler-mcp-server.md) | MCP server | Manage AdButler campaigns, zones, ad items, VAST, and reports from Claude, ChatGPT, and Cursor. | vendor's own |\n| [adtest-mcp](https://www.anchorterminal.com/tools/adtest-mcp.md) | MCP server | AI-only ad scoring for Claude: score image, video or text ads on 13 dimensions before you spend. | vendor's own |\n| [agentcentral](https://www.anchorterminal.com/tools/agentcentral-amazon-seller-central.md) | MCP server | Hosted Amazon Seller Central and Amazon Ads MCP server for Claude, ChatGPT, Cursor, and agents. | vendor's own |\n| [Aion](https://www.anchorterminal.com/tools/aion.md) | model family | Aion 3.5 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses… | on OpenRouter |\n| [Aion Mini](https://www.anchorterminal.com/tools/aion-mini.md) | model family | Aion 3.5 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It… | on OpenRouter |\n| [Aion-2](https://www.anchorterminal.com/tools/aion-2.md) | model family | Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong… | on OpenRouter |\n| [Aion-3](https://www.anchorterminal.com/tools/aion-3.md) | model family | Aion-3.0 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses… | on OpenRouter |\n| [Aion-3.0-Mini](https://www.anchorterminal.com/tools/aion-3-0-mini.md) | model family | Aion-3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of… | on OpenRouter |\n| [Aion-RP](https://www.anchorterminal.com/tools/aion-rp.md) | model family | Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a… | on OpenRouter |\n| [ai·rete·rag](https://www.anchorterminal.com/tools/ai-rete-rag-mcp.md) | MCP server | Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why. | vendor's own |\n| [augments.dev MCP server](https://www.anchorterminal.com/tools/augments-mcp.md) | MCP server | Augments MCP Server - A comprehensive framework documentation provider for Claude Code | vendor's own |\n| [AXF](https://www.anchorterminal.com/tools/smartergpt-axf.md) | MCP server | Agent eXoskeleton Framework control plane for workspace-native agent capabilities over MCP. | vendor's own |\n| [Axis](https://www.anchorterminal.com/tools/useaxis-axis.md) | MCP server | Coding agents from Claude Code, Cursor and Codex claim jobs and lock files on one shared board. | vendor's own |\n| [baton](https://www.anchorterminal.com/tools/kasabeh-baton.md) | MCP server | Pass the baton between coding agents: convert sessions across Claude Code, OpenCode, Codex \u0026 more. | vendor's own |\n| [Call Me](https://www.anchorterminal.com/tools/callmemcp-call-me.md) | MCP server | Your AI rings your iPhone, speaks its question, and gets your spoken answer back as text. | vendor's own |\n| [Claude Fable](https://www.anchorterminal.com/tools/claude-fable.md) | model family | Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running… | on OpenRouter |\n| [Claude FAF](https://www.anchorterminal.com/tools/claude-faf-mcp.md) | MCP server | Persistent project context for Claude. IANA-registered .faf format. | vendor's own |\n| [Claude Haiku](https://www.anchorterminal.com/tools/claude-haiku.md) | model family | Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction… | on OpenRouter |\n| [Claude Opus](https://www.anchorterminal.com/tools/claude-opus.md) | model family | Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work,… | on OpenRouter |\n| [Claude Sonnet](https://www.anchorterminal.com/tools/claude-sonnet.md) | model family | Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a… | on OpenRouter |\n| [Cleanor](https://www.anchorterminal.com/tools/cleanor.md) | MCP server | Zero-auth MCP: image optimize, cited storage/format data, and dev utilities LLMs get wrong. | vendor's own |\n| [Code Pathfinder](https://www.anchorterminal.com/tools/codepathfinder-pathfinder.md) | MCP server | Code intelligence MCP server: call graphs, type inference, and symbol search for Python/Go. | vendor's own |\n| [Codestral](https://www.anchorterminal.com/tools/codestral.md) | model family | Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency,… | on OpenRouter |\n| [Command A](https://www.anchorterminal.com/tools/command-a.md) | model family | Command A is an open-weights 111B parameter model with a 256k context window focused on delivering great performance… | on OpenRouter |\n| [Command A+](https://www.anchorterminal.com/tools/command-a-2.md) | model family | Command A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K… | on OpenRouter |\n| [Command R](https://www.anchorterminal.com/tools/command-r.md) | model family | command-r-08-2024 is an update of the \\[Command R\\](/models/cohere/command-r) with improved performance for multilingual… | on OpenRouter |\n| [Command R+](https://www.anchorterminal.com/tools/command-r-2.md) | model family | command-r-plus-08-2024 is an update of the \\[Command R+\\](/models/cohere/command-r-plus) with roughly 50% higher… | on OpenRouter |\n| [Command R7B](https://www.anchorterminal.com/tools/command-r7b.md) | model family | Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG,… | on OpenRouter |\n| [crisphive.com MCP server](https://www.anchorterminal.com/tools/crisphive-mcp.md) | MCP server | Field operations on a deterministic solver — run jobs, crews \u0026 fleet from Claude or ChatGPT. | vendor's own |\n| [Cydonia V4](https://www.anchorterminal.com/tools/cydonia-v4.md) | model family | Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and… | on OpenRouter |\n| [DataDoe MCP](https://www.anchorterminal.com/tools/datadoe-amazon-seller-mcp.md) | MCP server | Hosted Amazon Seller and Vendor MCP server for Claude, ChatGPT, Cursor, Codex, Gemini, Copilot. | vendor's own |\n| [DeepSeek V3](https://www.anchorterminal.com/tools/deepseek-v3.md) | model family | DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and… | on OpenRouter |\n| [DeepSeek V3 Terminus](https://www.anchorterminal.com/tools/deepseek-v3-terminus.md) | model family | DeepSeek-V3.1 Terminus is an update to \\[DeepSeek V3.1\\](/deepseek/deepseek-chat-v3.1) that maintains the model's… | on OpenRouter |\n| [DeepSeek V4 Flash](https://www.anchorterminal.com/tools/deepseek-v4-flash.md) | model family | DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal… | on OpenRouter |\n| [DeepSeek V4 Flash Vision](https://www.anchorterminal.com/tools/deepseek-v4-flash-vision.md) | model family | DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of \\[DeepSeek V4 Flash… | on OpenRouter |\n| [DeepSeek V4 Pro](https://www.anchorterminal.com/tools/deepseek-v4-pro.md) | model family | DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro. | on OpenRouter |\n| [Devstral](https://www.anchorterminal.com/tools/devstral.md) | model family | Devstral 2 is a state-of-the-art open-source model by Mistral AI specializing in agentic coding. It is a 123B-parameter… | on OpenRouter |\n| [Dropl MCP](https://www.anchorterminal.com/tools/dropl-mcp.md) | MCP server | Create client-editable photo and video galleries from Cursor or Claude Code, then embed them. | vendor's own |\n| [Ember-1](https://www.anchorterminal.com/tools/ember-1.md) | model family | Ember-1 is a specialized reasoning model from Fireworks Research, built on \\[Kimi… | on OpenRouter |\n| [ERNIE VL](https://www.anchorterminal.com/tools/ernie-vl.md) | model family | ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B… | on OpenRouter |\n| [etincel-nonfiction](https://www.anchorterminal.com/tools/etincel-nonfiction.md) | MCP server | Trainable non-fiction writing voice, presets, and an anti-AI-tells audit for Claude, via MCP. | vendor's own |\n| [FAQai](https://www.anchorterminal.com/tools/faqai-mcp-server.md) | MCP server | Turn any document into a production-ready RAG dataset from Claude, Cursor, or any MCP host. | vendor's own |\n| [flowcontent.io MCP server](https://www.anchorterminal.com/tools/flowcontent-mcp-server.md) | MCP server | Connect Claude, Cursor, or any MCP client to your FlowContent account | vendor's own |\n| [Fugu Max](https://www.anchorterminal.com/tools/fugu-max.md) | model family | Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a… | on OpenRouter |\n| [Fugu Ultra](https://www.anchorterminal.com/tools/fugu-ultra.md) | model family | Fugu Ultra is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a… | on OpenRouter |\n| [Fugu Ultra v2](https://www.anchorterminal.com/tools/fugu-ultra-v2.md) | model family | Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu… | on OpenRouter |\n| [gammainfra.com MCP server](https://www.anchorterminal.com/tools/gammainfra-mcp-server.md) | MCP server | Smart LLM routing across every major provider via one OpenAI-shape API. | vendor's own |\n| [Garmin — MissingMCP](https://www.anchorterminal.com/tools/missingmcp-garmin.md) | MCP server | Garmin data in Claude: 135 tools — activities, sleep, HRV, training, workouts. Free, open source. | vendor's own |\n| [gate](https://www.anchorterminal.com/tools/spideriq-gate.md) | MCP server | SpiderIQ Gate: SpiderGate LLM gateway (completions, models, usage, traces) | vendor's own |\n| [Gemini FAF](https://www.anchorterminal.com/tools/gemini-faf-mcp.md) | MCP server | Persistent project context for Google Gemini. Python/FastMCP. IANA-registered .faf format. | vendor's own |\n| [Gemini Flash](https://www.anchorterminal.com/tools/gemini-flash.md) | model family | Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software… | on OpenRouter |\n| [Gemini Flash Lite](https://www.anchorterminal.com/tools/gemini-flash-lite.md) | model family | Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for… | on OpenRouter |\n| [Gemini Pro](https://www.anchorterminal.com/tools/gemini-pro.md) | model family | Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance,… | on OpenRouter |\n| [Gemini Pro 06-05](https://www.anchorterminal.com/tools/gemini-pro-06-05.md) | model family | Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and… | on OpenRouter |\n| [Gemini Pro Custom Tools](https://www.anchorterminal.com/tools/gemini-pro-custom-tools.md) | model family | Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing… | on OpenRouter |\n| [Gemma](https://www.anchorterminal.com/tools/gemma.md) | model family | Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total… | on OpenRouter |\n| [Glean Remote MCP Server](https://www.anchorterminal.com/tools/glean-mcp.md) | MCP server | Remote MCP Server that securely connects Glean Enterprise Knowledge with your IDE, LLM, or agents. | vendor's own |\n| [GLM](https://www.anchorterminal.com/tools/z-ai-glm.md) | model family | GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent… | on OpenRouter |\n\nThe first 60 of 287, most used first; all of them are in https://www.anchorterminal.com/categories/inference.json and https://www.anchorterminal.com/api/v1/indexed.json (`category`).\n\n",
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