{ "data": { "a": { "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", "dns": "openrouter.grade.anchorterminal.com", "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": "2026-10-31", "graded": true, "anchor": { "graded": true, "score": 66.6, "grade": "B", "agentReady": false, "rank": 365, "ranked": true, "rankOf": 1510, "categoryRank": 15, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 85, "maintenance": 82, "payments": 40, "reliability": 55, "schema": 90, "security": 67, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -3, "negativeNotes": [ "2026-10-21. Breaking changes published the day they shipped, folded into one term. The Python SDK `openrouter` 1.3.70, a patch release in the listing's own package, removed the `client.end_users` namespace for `client.external_users`, and `POST /messages` streams stopped sending a trailing `data: [DONE]` frame, so clients that waited for it must end on `message_stop`. The versioning page promises migration notes but no notice period, and earlier same-day removals (8 September, 23 October) are of the same kind. -3. https://openrouter.ai/docs/changelog.md" ], "verdict": "Public OpenAPI document, llms.txt with Markdown twins, and a changelog generated from the spec on every release, with SDKs in TypeScript and Python tagged on 31 October 2026. Breaking changes ship with migration notes on the day, with no notice period. No machine payment, and USDC top-ups go to a prepaid balance.", "bestFor": "Agents that need many models behind one key, provider failover and a hard price ceiling per request.", "strengths": [ "Public OpenAPI document, llms.txt with Markdown twins, and a changelog generated from the spec with migration notes", "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", "Breaking changes are published the day they ship, with no notice period, among them the Python SDK's `end_users` removal on 21 October 2026", "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" ], "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", "On `/messages` streams, stop at `message_stop` or an `error` event. No `[DONE]` frame is sent since 21 October 2026" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 66.6 } ], "editorialScores": { "ergonomics": 85, "maintenance": 82, "payments": 40, "reliability": 55, "schema": 90, "security": 67, "transparency": 57 }, "provenanceScore": 87, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "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\"}]}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/openrouter" }, "area": "models", "unitPrices": [ { "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": { "legalEntity": "OpenRouter, Inc.", "domain": "openrouter.ai", "domainRegistered": "2023-04-17", "endpointOnVendorDomain": true, "terms": "https://openrouter.ai/terms", "privacy": "https://openrouter.ai/privacy", "statusPage": "https://status.openrouter.ai", "changelog": "https://openrouter.ai/docs/changelog", "securityTxt": "valid", "checked": "2026-09-26", "score": 87 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openrouter.json", "live": { "slug": "openrouter", "probe": { "target": "https://openrouter.ai/api/v1", "method": "get", "lastAt": "2026-11-07T19:22:24.011438582Z", "lastOk": true, "lastStatus": 404, "lastMs": 154, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 158, "p95ms24h": 257, "samples24h": 238, "samples30d": 7920, "days": [ { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 250, "ok": 250 }, { "date": "2026-10-29", "probes": 249, "ok": 249 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 197, "ok": 197 } ] }, "vendorStatus": { "page": "https://status.openrouter.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-07T04:48:32.364573242Z" }, "versions": [ { "registry": "github", "name": "OpenRouterTeam/typescript-sdk", "version": "v1.5.63", "released": "2026-11-06", "seenAt": "2026-11-06T23:53:19.843060338Z" }, { "registry": "npm", "name": "@openrouter/sdk", "version": "1.5.63", "seenAt": "2026-11-06T23:53:19.458250016Z" }, { "registry": "pypi", "name": "openrouter", "version": "1.3.136", "released": "2026-11-06", "seenAt": "2026-11-06T23:53:19.721594609Z" } ], "githubStars": 266, "npmWeekly": 1500637, "pypiWeekly": 508914, "securityTxt": { "url": "https://openrouter.ai/.well-known/security.txt", "state": "valid", "expires": "2027-08-12T00:00:00.000Z", "checkedAt": "2026-11-07T15:59:55.426629359Z" }, "llmsTxt": { "url": "https://openrouter.ai/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:33:32.781344125Z" }, "domain": { "domain": "openrouter.ai", "registered": "2023-04-17", "source": "https://rdap.identitydigital.services/rdap/domain/openrouter.ai", "checkedAt": "2026-11-01T14:08:10.430011075Z" }, "pages": [ { "url": "https://openrouter.ai/docs/changelog", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:15:31.271472972Z", "changedAt": "2026-11-06T13:37:16.450910388Z", "fingerprint": "643881c9ce0d" }, { "url": "https://openrouter.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:15:39.383701632Z", "changedAt": "2026-10-30T05:44:51.931625899Z", "fingerprint": "5cb2a28b714b" }, { "url": "https://openrouter.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:15:39.647363812Z", "changedAt": "2026-10-30T05:44:54.355186693Z", "fingerprint": "9aab6dce3dcb" }, { "url": "https://openrouter.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:15:41.576148386Z", "changedAt": "2026-10-30T05:44:56.728736628Z", "fingerprint": "e65daca75fd6" } ], "github": { "repo": "openrouterteam/typescript-sdk", "checkedAt": "2026-11-02T09:13:41.01188934Z", "stars": 266, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-01T00:31:43Z", "openIssues": 16, "openPRs": 21, "issuesOpened90d": 10, "issuesClosed90d": 6, "prsMerged90d": 535, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-10-31T04:54:28Z" }, "replies": { "sampled": 25, "unanswered": 14, "medianDays": 39.5 } }, "updatedAt": "2026-11-07T19:22:24.011438582Z" } }, "answer": "Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against OpenRouter's 66.6 (B), and leads in 6 of 7 scored categories.", "b": { "slug": "vertex-ai", "name": "Vertex AI (Gemini Enterprise Agent Platform)", "vendor": "Google Cloud", "vendorUrl": "https://cloud.google.com/products/gemini-enterprise-agent-platform", "kind": "model", "category": "inference", "summary": "Google Cloud's enterprise API for Gemini models and Model Garden partner and open models, including Claude, Llama and Qwen, on the platform formerly called Vertex AI, with regional endpoints, provisioned throughput and IAM access.", "url": "https://www.anchorterminal.com/tools/vertex-ai", "markdownUrl": "https://www.anchorterminal.com/tools/vertex-ai.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vertex-ai.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vertex-ai.json", "dns": "vertex-ai.grade.anchorterminal.com", "repo": "https://github.com/googleapis/python-genai", "license": "Proprietary service under the Google Cloud Platform terms. Partner models carry their providers' terms. The Google Gen AI SDKs are Apache-2.0", "transports": [ "http" ], "remoteUrl": "https://aiplatform.googleapis.com/v1", "packages": [ { "registry": "pypi", "name": "google-genai" }, { "registry": "npm", "name": "@google/genai" }, { "registry": "pypi", "name": "google-cloud-aiplatform" } ], "auth": "mixed", "authNotes": "OAuth 2.0 bearer tokens from application default credentials or service accounts, with IAM roles on a Google Cloud project, which the docs recommend for production. Google Cloud API keys, including express mode keys (Preview) that need no project or location in the URL, are recommended for testing. The OpenAI-compatible endpoint accepts only Google Cloud auth.", "pricing": "usage", "pricingNotes": "Per-token prices per model, with global and higher non-global rates and Standard, Priority and Flex/Batch options. Gemini 4 Argon costs $4/$20 per million, with 50% credits back through 2026-11-30. Gemini 3.8 Flash costs $0.75/$3.75 through 2026-12-31, then $1.50/$7.50. Claude Opus 5.5 $4/$20. Batch and Flex half price on Gemini. Only requests that return 200 are charged. Express mode gives new users 90 days free with no billing details (https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing).", "priceSummary": "from $0.30 / 1M in", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the pricing page or in the express mode docs (checked 2026-11-06). Access needs a Google account and, after the express trial, a Cloud billing account.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": 20917051, "asOf": "2026-11-06" }, "docsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/start", "rateLimitsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/standard-paygo", "openapi": "https://aiplatform.googleapis.com/$discovery/rest?version=v1", "capabilities": [ "inference.llm", "inference.open-weights" ], "tags": [ "official", "hosted", "model", "open-weights", "enterprise", "usage-priced", "free-tier", "no-card", "python", "typescript", "status-page" ], "lastRelease": "2026-11-05", "graded": true, "anchor": { "graded": true, "score": 88.7, "grade": "AA", "agentReady": true, "rank": 2, "ranked": true, "rankOf": 1510, "categoryRank": 1, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 97, "maintenance": 91, "payments": 40, "reliability": 99, "schema": 94, "security": 97, "transparency": 90 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "Gemini, Claude and open models through one Google Cloud API with IAM, regional endpoints, schema-guaranteed JSON and a 99.5 per cent SLA, and no Vertex incident on the Cloud status page in the 90 days to 6 November 2026. Gemini 4 Argon and 3.8 Flash have 12-month availability, but short-term Flash models get a 95 per cent SLA.", "bestFor": "Google Cloud customers who need Gemini with residency, VPC-SC, provisioned throughput and an SLA, or Claude under a Google bill.", "strengths": [ "No incident naming Vertex or Gemini on status.cloud.google.com between 8 July and 6 October 2026", "Public discovery document for the v1 API (revision 20260930) with 1,128 methods and 1,493 schemas", "JSON output follows a supplied `response_schema` when `response_mime_type` is `application/json`", "Express mode gives new users 90 days free with an API key and no billing details", "Only requests that return 200 are charged", "Gemini 4 Argon, GA since 13 October 2026, has a 1,048,576-token unified limit at $4/$20 per million tokens" ], "weaknesses": [ "The SLA drops from 99.5 to 95 per cent for short-term availability models, Gemini 3.7 and 3.6 Flash among them", "Gemini 3.6 Flash, released 21 July 2026, retires on 19 November 2026, and 3.7 Flash on 28 January 2027", "Zero retention needs an exception request, and flagged prompts may be kept up to 90 days", "The Interactions API stores prompts and responses unless `store` is set to false", "No llms.txt on the docs site, and the docs mix the Vertex AI and Agent Platform names", "The model versions table still listed Gemini 2.5 Pro, Flash and Flash-Lite as available after their 20 October 2026 retirement date" ], "agentNotes": [ "Call the `global` location on aiplatform.googleapis.com unless data residency requires a Region. The 429 guide says it spreads load and reduces errors", "Back off exponentially on 429 `Resource exhausted`. On Standard PayGo it means shared capacity is busy, not a fixed quota", "Send `response_schema` with `response_mime_type: application/json`. JSON mode alone doesn't guarantee valid output", "Set `store` to false on Interactions API calls. It defaults to true and keeps prompts and responses", "Pin `gemini-4-argon` or `gemini-3.8-flash`, both in the 12-month tier, rather than 3.7 or 3.6 Flash, which retire on 28 January 2027 and 19 November 2026" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "AA", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 88.7 } ], "editorialScores": { "ergonomics": 97, "maintenance": 91, "payments": 40, "reliability": 99, "schema": 94, "security": 97, "transparency": 83 }, "provenanceScore": 97, "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 google-genai # or: npm i @google/genai", "http": "curl -X POST \\\n -H \"Content-Type: application/json\" \\\n -H \"Authorization: Bearer $(gcloud auth print-access-token)\" \\\n \"https://aiplatform.googleapis.com/v1/projects/${GOOGLE_CLOUD_PROJECT}/locations/global/publishers/google/models/gemini-3.8-flash:generateContent\" \\\n -d '{\"contents\":{\"role\":\"user\",\"parts\":{\"text\":\"Explain how AI works in a few words\"}}}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/vertex-ai" }, "sameCompany": [ "gemini-api", "gemini-embedding", "vertex-ai-tuning", "cloud-run-gpus", "google-model-armor", "google-imagen", "google-veo", "google-lyria", "google-speech-to-text", "google-cloud-tts", "gemini-live", "google-adk", "google-memory-bank", "google-secret-manager", "google-cloud-document-ai", "google-weather-api", "chrome-devtools-mcp", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "firebase-cloud-messaging", "google-cloud-storage", "google-drive-api", "gemini-enterprise", "gemini-cli", "google-search-console", "google-ads-api", "google-forms", "google-sheets-api", "gmail-api", "google-people-api" ], "area": "models", "unitPrices": [ { "item": "Grounding with Google Search over 5,000 a month (Gemini 3)", "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://cloud.google.com/terms", "privacy": "https://policies.google.com/privacy", "statusPage": "https://status.cloud.google.com", "changelog": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/release-notes", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "The product runs under the Google Cloud Platform terms, whose contracting Google entity depends on the billing country, as for vertex-ai-tuning.", "www.google.com/.well-known/security.txt expires on 2030-04-01 (read 2026-11-06).", "docs.cloud.google.com has no llms.txt (404 on 6 October 2026), but each docs page answers as Markdown when `.md.txt` is added to its URL." ], "score": 97 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/vertex-ai.json", "live": { "slug": "vertex-ai", "probe": { "target": "https://aiplatform.googleapis.com/v1", "method": "get", "lastAt": "2026-11-07T19:22:43.041024218Z", "lastOk": true, "lastStatus": 404, "lastMs": 664, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 118, "p95ms24h": 752, "samples24h": 210, "samples30d": 210, "days": [ { "date": "2026-11-06", "probes": 13, "ok": 13 }, { "date": "2026-11-07", "probes": 197, "ok": 197 } ] }, "versions": [ { "registry": "github", "name": "googleapis/python-genai", "version": "v3.0.0", "released": "2026-11-06", "seenAt": "2026-11-07T00:15:33.519504561Z" }, { "registry": "npm", "name": "@google/genai", "version": "3.0.0", "seenAt": "2026-11-07T00:15:31.639429892Z" }, { "registry": "pypi", "name": "google-cloud-aiplatform", "version": "2.7.0", "released": "2026-10-28", "seenAt": "2026-11-07T00:15:32.521225598Z" }, { "registry": "pypi", "name": "google-genai", "version": "3.0.0", "released": "2026-11-06", "seenAt": "2026-11-07T00:15:31.485691571Z" } ], "githubStars": 4057, "npmWeekly": 31989360, "pypiWeekly": 38431674, "securityTxt": { "url": "https://google.com/.well-known/security.txt", "state": "valid", "expires": "2030-04-01T00:00:00z", "checkedAt": "2026-11-07T16:01:22.068349931Z" }, "pages": [ { "url": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:01:16.257808105Z", "changedAt": "2026-11-07T14:01:16.257808105Z", "fingerprint": "a4fe253bd23f" } ], "updatedAt": "2026-11-07T19:22:43.041024218Z" } }, "edges": [ { "by": 44, "category": "reliability", "leads": "vertex-ai", "name": "Reliability", "reasons": { "a": "Status page at status.openrouter.ai, which rendered only in a browser with its feed and JSON paths answering 403 on 1 and 2 October. On 1 November its robots.txt answered 403 AccessDenied, so the host is treated as blocked and the page was not read (10 of 20, per the 2 October check, and 5 for the incident line, no readable history). The limits page gives 20 requests a minute on free models, 50 a day below $10 of lifetime purchases and 1,000 a day above, no platform cap on paid models, and a key endpoint that reports what's left (15). The errors page says 429, 503 and 402 responses from the in-flight spending budget carry `Retry-After`, tells clients to honour it, and says the official SDKs already do (15). The pricing page lists 'Contractual SLAs' for Enterprise without publishing terms, which we count as no published SLA (0). The chat completions API is GA (10). Model fallbacks through a `models` list soften an upstream outage, which this checklist doesn't score.", "b": "Google Cloud status dashboard with per-product history (20). Its incident feed, read on 6 November, has no incident naming Vertex Gemini API, Gemini or the Agent Platform in the 90 days. The regional incidents of 20 August, 1 September and 20 October (europe-west2) and the Cloud Storage incident of 8 and 9 October didn't list it among affected products (30). Standard PayGo publishes usage tiers by 30-day spend with baseline throughput, 2,000,000 to 50,000,000 tokens a minute for Flash models and 500,000 to 10,000,000 for Pro, plus quota tables for other methods (15). A 429 page says to use the global endpoint and truncated exponential backoff, and a retry-strategy page (15). SLA of 99.5 per cent a month on generateContent and streamGenerateContent, 95 per cent for short-term availability models, and a latency SLO on Provisioned Throughput. The 429 page says pay-as-you-go 429s don't count toward the SLA error rate (10). Gemini 4 Argon reached GA on 13 October and Gemini 3.8 Flash moved to the 12-month tier, and the v1 API, 3.5 Flash-Lite and Claude Opus 5.5 are GA, but express mode was Preview at the 6 October check (9 of 10, up from 8). Up from 98 on 6 October." }, "scores": { "a": 55, "b": 99 } }, { "by": 30, "category": "security", "leads": "vertex-ai", "name": "Security \u0026 auth", "reasons": { "a": "Model reading. Bearer keys with per-key credit limits, Management API keys for creating and rotating keys in code, and OAuth PKCE for user-delegated keys. No permission scopes on keys (25 of 30). OpenRouter doesn't store or use prompts unless you opt in for a 1% discount, but the routing reference, re-read on 1 November 2026, still sets `data_collection` to 'allow' by default, which admits providers that may store and train on data. An account privacy setting can switch that off, and the docs don't say what a new account starts with (5 of 20). Prompts not stored by default and a per-request `zdr` filter (15). Request metadata kept for reporting, per-call logs not confirmed (10 of 15). security.txt, read on 1 November 2026, is valid to 12 August 2027 with security@openrouter.ai and a PGP key, and says reports confirmed as high-impact get an invitation to a private HackerOne bug bounty. The private bounty counts as a bounty, as other listings' invitation-only programmes do (activepieces, fireflies, mixpanel). No certification or public advisory was found, so 12, above blockrun-ai's 10 (valid security.txt, no bounty) and below activepieces' 13 (a private bounty and nine public advisories) (12 of 20).", "b": "Model reading. OAuth 2.0 with IAM roles and service accounts, which the docs recommend for production, with API keys for testing. No key in a query string found in the docs we read (30). The training restriction in the Service Specific Terms says Google won't use customer data to train or fine-tune any model without permission, GA and pre-GA alike (20). Default in-memory caching for 24 hours that can be disabled, flagged prompts logged up to 90 days unless an abuse-monitoring exception is granted or the customer has a Cloud Master Agreement, the Interactions API storing by default, and Claude Fable 5 and Mythos 5 requiring 30-day retention shared with Anthropic (12 of 15, a judgement call matching the Fable exception on the Anthropic and Bedrock listings). Cloud Audit Logs, with Data Access logs off until enabled, and optional request-response logging to BigQuery (15). google.com security.txt valid to 2030-04-01, the Google VRP, and Generative AI on the platform in ISO 27001, 27017 and 27018 and SOC 1, 2 and 3 scope per the 1 October services-in-scope check for vertex-ai-tuning, not re-read on 6 October (20)." }, "scores": { "a": 67, "b": 97 } }, { "by": 18, "category": "transparency", "leads": "vertex-ai", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed service with clear terms, SDKs Apache-2.0 (15). Data collection page and privacy policy agree that content isn't stored unless you opt in, but training defaults for upstream providers sit on other pages we didn't read (15 of 30). An API versioning page states how deprecations are announced (in the changelog, with the field or endpoint marked deprecated in the reference) and the changelog dates each one, but no notice period is promised (12 of 20). Each provider's data policy is shown per endpoint per the listing, and EU or US in-region routing is part of the Business plan. No subprocessor list checked (15 of 20).", "b": "Closed service under the Google Cloud terms, with the Gen AI SDKs under Apache-2.0 and a public discovery document (18, as for Bedrock's open service models). The zero data retention and abuse monitoring pages agree with the Cloud terms and give periods for each case, 24 hours in memory, up to 90 days for flagged prompts, 30 days for Advanced AI models, 3 days for Search grounding logs and 30 days for Maps grounding, and say which can't be switched off (27 of 30). A dated model versions table with release and retirement dates and a stated 12-month or 45-day policy, but on 6 November it still listed Gemini 2.5 Pro, Flash and Flash-Lite as available with a 20 October 2026 retirement date and left them out of the retired table (18 of 20, down from 20). The Cloud subprocessor list with locations, per the 1 October vertex-ai-tuning check, regional and multi-region endpoints, and per-model ML processing locations on the partner model cards (20)." }, "scores": { "a": 72, "b": 90 } }, { "by": 12, "category": "ergonomics", "leads": "vertex-ai", "name": "Agent ergonomics", "reasons": { "a": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool calling documented, behaviour depends on the routed model (15 of 20). Structured outputs depend on the upstream model (10 of 15). Prompt caching documented, discount set by each provider (10 of 15). Routes to models with 1M-token context, a judgement call since a router has no default model (15). Batch API, usually half price per the listing (10). Official SDKs in TypeScript, Python and Go (10). Errors and debugging page (15).", "b": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with `FunctionCallingConfig` mode ANY and `allowedFunctionNames` to force a named tool (20). Schema-guaranteed JSON output (15). Implicit and explicit context caching, cached input at 0.1x, $0.075 per million on 3.8 Flash through 31 December (15). 1,048,576-token context on 3.8 Flash, a unified 1,048,576-token input and output limit on Gemini 4 Argon, and 1,000,000 on Claude Opus 5.5 (15). Flex/Batch at half price on Gemini (10). Gen AI SDKs for Python and JavaScript among others, and the OpenAI libraries work with Google Cloud auth (10). 429 handling documented per quota framework, with standard Google status codes elsewhere (12 of 15)." }, "scores": { "a": 85, "b": 97 } }, { "by": 9, "category": "maintenance", "leads": "vertex-ai", "name": "Maintenance \u0026 community", "reasons": { "a": "Model reading. The TypeScript and Python SDKs were tagged on 31 October 2026, v1.5.33 and v1.3.106, and the API changelog's newest entry is 29 October (30). The versioning page says breaking changes are reviewed by a person and published in the changelog with migration notes, and that removing a deprecated part of the API follows that process, but it states no notice period. The 25 July Responses GA entry still promises a sunset date before the beta aliases go (6 of 12). Several removals of OpenRouter's own surface in the 90 days from 3 August, each published the day it shipped, `sleep_after_seconds` and the `ncompass` provider on 8 September, the `/interns` endpoints on 23 October, and the Python SDK's `end_users` namespace in 1.3.70 on 21 October (4 of 8). Dated changelog for every release that changes the spec, support not checked (12 of 15). SDK issue replies not sampled (5 of 10). Official SDKs in TypeScript and Python (and Go, not re-read on 1 November), generated from the OpenAPI document with Speakeasy, 242 and 279 tags since 3 August (15). Each SDK repository runs PR validation and publish workflows, per the 2 October check (10).", "b": "Model reading. Gemini Omni 1.2 Flash GA on 5 November, Grok 4.7 GA on 27 October, Gemini 4 Argon GA on 13 October and Claude Haiku 5.5 on 7 October 2026 (30). Stable models stay at least 12 months, and since 6 October Gemini 4 Argon and Gemini 3.8 Flash are in that tier, while 3.7 and 3.6 Flash remain short-term with at least 45 days' notice once a date is set (10 of 12, up from 8). Gemini 2.5 Pro, Flash and Flash-Lite were due to retire on 20 October, three models on one date after more than 12 months, with replacements named. We didn't check partner model retirements (6 of 8, down from 8). Dated release notes on most working days, newest 5 November, and Cloud Customer Care (15). python-genai replies not sampled this run (5 of 10). Current SDKs, google-genai 3.0.0 on 6 November and `@google/genai` 3.0.0, and google-cloud-aiplatform 2.7.0 on 28 October 2026 (15). Supported runtimes stated, Python 3.10 or later and Node 20 or later, per the 6 October check (10). Unchanged at 91." }, "scores": { "a": 82, "b": 91 } } ], "facts": [ { "a": "Model router", "b": "Model API", "name": "Kind" }, { "a": "OpenRouter", "b": "Google Cloud", "name": "Vendor" }, { "a": "https://openrouter.ai/api/v1", "b": "https://aiplatform.googleapis.com/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Apache-2.0 (SDKs)", "b": "Proprietary service under the Google Cloud Platform terms. Partner models carry their providers' terms. The Google Gen AI SDKs are Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-31", "b": "2026-11-05", "name": "Last release" }, { "a": "2026-08-31", "b": "2026-09-02", "name": "Terms last updated" }, { "a": "2026-08-31", "b": "2026-10-01", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "yes", "name": "Customer content may train models" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "226 stars", "b": "20.9M PyPI/wk", "name": "Popularity" }, { "a": "3/5 (2)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against OpenRouter's 66.6 (B), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, OpenRouter or Vertex AI (Gemini Enterprise Agent Platform)?" }, { "answer": "OpenRouter needs an API key. Vertex AI (Gemini Enterprise Agent Platform) takes an API key or an OAuth sign-in.", "question": "Do OpenRouter and Vertex AI (Gemini Enterprise Agent Platform) need an API key?" }, { "answer": "Yes. OpenRouter has a hosted endpoint at https://openrouter.ai/api/v1 and Vertex AI (Gemini Enterprise Agent Platform) at https://aiplatform.googleapis.com/v1.", "question": "Can an agent call OpenRouter and Vertex AI (Gemini Enterprise Agent Platform) without installing anything?" } ], "goodFor": [ { "aheadOn": null, "also": null, "goodFor": "Agents that need many models behind one key, provider failover and a hard price ceiling per request.", "slug": "openrouter", "watchFor": "No machine payment. USDC top-ups go to a prepaid balance" }, { "aheadOn": [ "Reliability, 99 against 55", "Agent ergonomics, 97 against 85", "Security \u0026 auth, 97 against 67", "Maintenance \u0026 community, 91 against 82", "Transparency \u0026 trust, 90 against 72" ], "also": [ "Agent-ready, a grade of BB or better", "No incidents deducted, where OpenRouter loses 3 points for them" ], "goodFor": "Google Cloud customers who need Gemini with residency, VPC-SC, provisioned throughput and an SLA, or Claude under a Google bill.", "slug": "vertex-ai", "watchFor": "The SLA drops from 99.5 to 95 per cent for short-term availability models, Gemini 3.7 and 3.6 Flash among them" } ], "history": { "openrouter": [ { "causes": [ "evidence", "event" ], "date": "2026-11-01", "delta": -1.9, "from": 68.5, "fromGrade": "B", "to": 66.6, "toGrade": "B" }, { "causes": [ "correction" ], "date": "2026-10-28", "delta": -0.1, "from": 68.6, "fromGrade": "B", "to": 68.5, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 68.5, "fromGrade": "B", "to": 68.6, "toGrade": "B" } ], "vertex-ai": null }, "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-openrouter.json", "title": "Amazon Bedrock vs OpenRouter", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-vertex-ai.json", "title": "Amazon Bedrock vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-openrouter.json", "title": "Claude API vs OpenRouter", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-vertex-ai.json", "title": "Claude API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": 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Agent Platform)", "url": "https://www.anchorterminal.com/compare/groq-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-vertex-ai.json", "title": "Hugging Face Inference Providers vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-openrouter.json", "title": "Inkling 2 Small vs OpenRouter", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-vertex-ai.json", "title": "Inkling 2 Small vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-openrouter.json", "title": "Jais 3 vs OpenRouter", "url": "https://www.anchorterminal.com/compare/jais-3-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-vertex-ai.json", "title": "Jais 3 vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/jais-3-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter.json", "title": "Meta Model API vs OpenRouter", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-vertex-ai.json", "title": "Meta Model API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/minimax-api-vs-openrouter.json", "title": "MiniMax API vs OpenRouter", "url": "https://www.anchorterminal.com/compare/minimax-api-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/minimax-api-vs-vertex-ai.json", "title": "MiniMax API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/minimax-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-openrouter.json", "title": "Mistral AI API vs OpenRouter", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-vertex-ai.json", "title": "Mistral AI API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-openrouter.json", "title": "Muse Spark Open vs OpenRouter", "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-vertex-ai.json", "title": "Muse Spark Open vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openrouter.json", "title": "Nemotron 3.5 Super VL vs OpenRouter", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/novita-ai-vs-openrouter.json", "title": "Novita AI vs OpenRouter", "url": "https://www.anchorterminal.com/compare/novita-ai-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/novita-ai-vs-vertex-ai.json", "title": "Novita AI vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/novita-ai-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/openai-api-vs-openrouter.json", "title": "OpenAI API vs OpenRouter", "url": "https://www.anchorterminal.com/compare/openai-api-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/openai-api-vs-vertex-ai.json", "title": "OpenAI API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/openai-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.json", "title": "OpenRouter vs Prism Inference", "url": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-ramp-router.json", "title": "OpenRouter vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/openrouter-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-reflection-beam.json", "title": "OpenRouter vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/openrouter-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-routerplus.json", "title": "OpenRouter vs RouterPlus", "url": "https://www.anchorterminal.com/compare/openrouter-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-sambanova.json", "title": "OpenRouter vs SambaCloud", "url": "https://www.anchorterminal.com/compare/openrouter-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-siliconflow.json", "title": "OpenRouter vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/openrouter-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-simplismart.json", "title": "OpenRouter vs Simplismart", "url": "https://www.anchorterminal.com/compare/openrouter-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api.json", "title": "OpenRouter vs StepFun API", "url": "https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash.json", "title": "OpenRouter vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-tencent-tokenhub.json", "title": "OpenRouter vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/openrouter-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference.json", "title": "OpenRouter vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-vercel-ai-gateway.json", "title": "OpenRouter vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/openrouter-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-xai-api.json", "title": "OpenRouter vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/openrouter-vs-xai-api" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-vertex-ai.json", "title": "Prism Inference vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-vertex-ai.json", "title": "Router.com (Ramp Router) vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-vertex-ai.json", "title": "Beam 1.0 vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/routerplus-vs-vertex-ai.json", "title": "RouterPlus vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/routerplus-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/sambanova-vs-vertex-ai.json", "title": "SambaCloud vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/sambanova-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/siliconflow-vs-vertex-ai.json", "title": "SiliconFlow vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/siliconflow-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/simplismart-vs-vertex-ai.json", "title": "Simplismart vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/simplismart-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/stepfun-api-vs-vertex-ai.json", "title": "StepFun API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/stepfun-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/swe-2-flash-vs-vertex-ai.json", "title": "SWE-2 Flash vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/swe-2-flash-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/tencent-tokenhub-vs-vertex-ai.json", "title": "Tencent Cloud TokenHub vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/tencent-tokenhub-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/together-inference-vs-vertex-ai.json", "title": "Together AI Inference vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/together-inference-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/vercel-ai-gateway-vs-vertex-ai.json", "title": "Vercel AI Gateway vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/vercel-ai-gateway-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/vertex-ai-vs-xai-api.json", "title": "Vertex AI (Gemini Enterprise Agent Platform) vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/vertex-ai-vs-xai-api" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-openrouter.json", "title": "Antseed vs OpenRouter", "url": "https://www.anchorterminal.com/compare/antseed-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/eden-ai-vs-openrouter.json", "title": "Eden AI vs OpenRouter", "url": "https://www.anchorterminal.com/compare/eden-ai-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-openrouter.json", "title": "Hugging Face Inference Providers vs OpenRouter", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/litellm-vs-openrouter.json", "title": "LiteLLM vs OpenRouter", "url": "https://www.anchorterminal.com/compare/litellm-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vertex-ai.json", "title": "Nemotron 3.5 Super VL vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vertex-ai" } ], "panel": null, "scores": [ { "by": 44, "edge": "vertex-ai", "key": "reliability", "name": "Reliability", "openrouter": 55, "vertex-ai": 99, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 4, "edge": "vertex-ai", "key": "schema", "name": "Schema \u0026 documentation", "openrouter": 90, "vertex-ai": 94, "weight": 13 }, { "by": 12, "edge": "vertex-ai", "key": "ergonomics", "name": "Agent ergonomics", "openrouter": 85, "vertex-ai": 97, "weight": 13 }, { "by": 30, "edge": "vertex-ai", "key": "security", "name": "Security \u0026 auth", "openrouter": 67, "vertex-ai": 97, "weight": 14 }, { "by": 0, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "openrouter": 40, "vertex-ai": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 9, "edge": "vertex-ai", "key": "maintenance", "name": "Maintenance \u0026 community", "openrouter": 82, "vertex-ai": 91, "weight": 7 }, { "by": 18, "edge": "vertex-ai", "key": "transparency", "name": "Transparency \u0026 trust", "openrouter": 72, "vertex-ai": 90, "weight": 7 } ], "summary": "Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against OpenRouter's 66.6 (B), and leads in 6 of 7 scored categories. Both do llm inference.", "tasks": null, "tutorials": [], "verdicts": { "openrouter": "Public OpenAPI document, llms.txt with Markdown twins, and a changelog generated from the spec on every release, with SDKs in TypeScript and Python tagged on 31 October 2026. Breaking changes ship with migration notes on the day, with no notice period. No machine payment, and USDC top-ups go to a prepaid balance.", "vertex-ai": "Gemini, Claude and open models through one Google Cloud API with IAM, regional endpoints, schema-guaranteed JSON and a 99.5 per cent SLA, and no Vertex incident on the Cloud status page in the 90 days to 6 November 2026. Gemini 4 Argon and 3.8 Flash have 12-month availability, but short-term Flash models get a 95 per cent SLA." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai", "json": "https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai.min.md" }, "markdown": "Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against OpenRouter's 66.6 (B), and leads in 6 of 7 scored categories. Both do llm inference.\n\n- OpenRouter: grade B, 66.6/100, rank #365 of 1510. Markdown https://www.anchorterminal.com/tools/openrouter.md · JSON https://www.anchorterminal.com/api/v1/tools/openrouter.json\n- Vertex AI (Gemini Enterprise Agent Platform): grade AA, 88.7/100, rank #2 of 1510. Markdown https://www.anchorterminal.com/tools/vertex-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/vertex-ai.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### OpenRouter (B)\n\nGood for: Agents that need many models behind one key, provider failover and a hard price ceiling per request.\n\nWatch for: No machine payment. USDC top-ups go to a prepaid balance\n\n### Vertex AI (Gemini Enterprise Agent Platform) (AA)\n\nGood for: Google Cloud customers who need Gemini with residency, VPC-SC, provisioned throughput and an SLA, or Claude under a Google bill.\n\nAhead on:\n- Reliability, 99 against 55\n- Agent ergonomics, 97 against 85\n- Security \u0026 auth, 97 against 67\n- Maintenance \u0026 community, 91 against 82\n- Transparency \u0026 trust, 90 against 72\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No incidents deducted, where OpenRouter loses 3 points for them\n\nWatch for: The SLA drops from 99.5 to 95 per cent for short-term availability models, Gemini 3.7 and 3.6 Flash among them\n\n\n## Why the edge\n\n### Reliability: Vertex AI (Gemini Enterprise Agent Platform) +44\n\n- OpenRouter (55): Status page at status.openrouter.ai, which rendered only in a browser with its feed and JSON paths answering 403 on 1 and 2 October. On 1 November its robots.txt answered 403 AccessDenied, so the host is treated as blocked and the page was not read (10 of 20, per the 2 October check, and 5 for the incident line, no readable history). The limits page gives 20 requests a minute on free models, 50 a day below $10 of lifetime purchases and 1,000 a day above, no platform cap on paid models, and a key endpoint that reports what's left (15). The errors page says 429, 503 and 402 responses from the in-flight spending budget carry `Retry-After`, tells clients to honour it, and says the official SDKs already do (15). The pricing page lists 'Contractual SLAs' for Enterprise without publishing terms, which we count as no published SLA (0). The chat completions API is GA (10). Model fallbacks through a `models` list soften an upstream outage, which this checklist doesn't score.\n- Vertex AI (Gemini Enterprise Agent Platform) (99): Google Cloud status dashboard with per-product history (20). Its incident feed, read on 6 November, has no incident naming Vertex Gemini API, Gemini or the Agent Platform in the 90 days. The regional incidents of 20 August, 1 September and 20 October (europe-west2) and the Cloud Storage incident of 8 and 9 October didn't list it among affected products (30). Standard PayGo publishes usage tiers by 30-day spend with baseline throughput, 2,000,000 to 50,000,000 tokens a minute for Flash models and 500,000 to 10,000,000 for Pro, plus quota tables for other methods (15). A 429 page says to use the global endpoint and truncated exponential backoff, and a retry-strategy page (15). SLA of 99.5 per cent a month on generateContent and streamGenerateContent, 95 per cent for short-term availability models, and a latency SLO on Provisioned Throughput. The 429 page says pay-as-you-go 429s don't count toward the SLA error rate (10). Gemini 4 Argon reached GA on 13 October and Gemini 3.8 Flash moved to the 12-month tier, and the v1 API, 3.5 Flash-Lite and Claude Opus 5.5 are GA, but express mode was Preview at the 6 October check (9 of 10, up from 8). Up from 98 on 6 October.\n\n### Security \u0026 auth: Vertex AI (Gemini Enterprise Agent Platform) +30\n\n- OpenRouter (67): Model reading. Bearer keys with per-key credit limits, Management API keys for creating and rotating keys in code, and OAuth PKCE for user-delegated keys. No permission scopes on keys (25 of 30). OpenRouter doesn't store or use prompts unless you opt in for a 1% discount, but the routing reference, re-read on 1 November 2026, still sets `data_collection` to 'allow' by default, which admits providers that may store and train on data. An account privacy setting can switch that off, and the docs don't say what a new account starts with (5 of 20). Prompts not stored by default and a per-request `zdr` filter (15). Request metadata kept for reporting, per-call logs not confirmed (10 of 15). security.txt, read on 1 November 2026, is valid to 12 August 2027 with security@openrouter.ai and a PGP key, and says reports confirmed as high-impact get an invitation to a private HackerOne bug bounty. The private bounty counts as a bounty, as other listings' invitation-only programmes do (activepieces, fireflies, mixpanel). No certification or public advisory was found, so 12, above blockrun-ai's 10 (valid security.txt, no bounty) and below activepieces' 13 (a private bounty and nine public advisories) (12 of 20).\n- Vertex AI (Gemini Enterprise Agent Platform) (97): Model reading. OAuth 2.0 with IAM roles and service accounts, which the docs recommend for production, with API keys for testing. No key in a query string found in the docs we read (30). The training restriction in the Service Specific Terms says Google won't use customer data to train or fine-tune any model without permission, GA and pre-GA alike (20). Default in-memory caching for 24 hours that can be disabled, flagged prompts logged up to 90 days unless an abuse-monitoring exception is granted or the customer has a Cloud Master Agreement, the Interactions API storing by default, and Claude Fable 5 and Mythos 5 requiring 30-day retention shared with Anthropic (12 of 15, a judgement call matching the Fable exception on the Anthropic and Bedrock listings). Cloud Audit Logs, with Data Access logs off until enabled, and optional request-response logging to BigQuery (15). google.com security.txt valid to 2030-04-01, the Google VRP, and Generative AI on the platform in ISO 27001, 27017 and 27018 and SOC 1, 2 and 3 scope per the 1 October services-in-scope check for vertex-ai-tuning, not re-read on 6 October (20).\n\n### Transparency \u0026 trust: Vertex AI (Gemini Enterprise Agent Platform) +18\n\n- OpenRouter (72): Closed service with clear terms, SDKs Apache-2.0 (15). Data collection page and privacy policy agree that content isn't stored unless you opt in, but training defaults for upstream providers sit on other pages we didn't read (15 of 30). An API versioning page states how deprecations are announced (in the changelog, with the field or endpoint marked deprecated in the reference) and the changelog dates each one, but no notice period is promised (12 of 20). Each provider's data policy is shown per endpoint per the listing, and EU or US in-region routing is part of the Business plan. No subprocessor list checked (15 of 20).\n- Vertex AI (Gemini Enterprise Agent Platform) (90): Closed service under the Google Cloud terms, with the Gen AI SDKs under Apache-2.0 and a public discovery document (18, as for Bedrock's open service models). The zero data retention and abuse monitoring pages agree with the Cloud terms and give periods for each case, 24 hours in memory, up to 90 days for flagged prompts, 30 days for Advanced AI models, 3 days for Search grounding logs and 30 days for Maps grounding, and say which can't be switched off (27 of 30). A dated model versions table with release and retirement dates and a stated 12-month or 45-day policy, but on 6 November it still listed Gemini 2.5 Pro, Flash and Flash-Lite as available with a 20 October 2026 retirement date and left them out of the retired table (18 of 20, down from 20). The Cloud subprocessor list with locations, per the 1 October vertex-ai-tuning check, regional and multi-region endpoints, and per-model ML processing locations on the partner model cards (20).\n\n### Agent ergonomics: Vertex AI (Gemini Enterprise Agent Platform) +12\n\n- OpenRouter (85): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool calling documented, behaviour depends on the routed model (15 of 20). Structured outputs depend on the upstream model (10 of 15). Prompt caching documented, discount set by each provider (10 of 15). Routes to models with 1M-token context, a judgement call since a router has no default model (15). Batch API, usually half price per the listing (10). Official SDKs in TypeScript, Python and Go (10). Errors and debugging page (15).\n- Vertex AI (Gemini Enterprise Agent Platform) (97): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with `FunctionCallingConfig` mode ANY and `allowedFunctionNames` to force a named tool (20). Schema-guaranteed JSON output (15). Implicit and explicit context caching, cached input at 0.1x, $0.075 per million on 3.8 Flash through 31 December (15). 1,048,576-token context on 3.8 Flash, a unified 1,048,576-token input and output limit on Gemini 4 Argon, and 1,000,000 on Claude Opus 5.5 (15). Flex/Batch at half price on Gemini (10). Gen AI SDKs for Python and JavaScript among others, and the OpenAI libraries work with Google Cloud auth (10). 429 handling documented per quota framework, with standard Google status codes elsewhere (12 of 15).\n\n### Maintenance \u0026 community: Vertex AI (Gemini Enterprise Agent Platform) +9\n\n- OpenRouter (82): Model reading. The TypeScript and Python SDKs were tagged on 31 October 2026, v1.5.33 and v1.3.106, and the API changelog's newest entry is 29 October (30). The versioning page says breaking changes are reviewed by a person and published in the changelog with migration notes, and that removing a deprecated part of the API follows that process, but it states no notice period. The 25 July Responses GA entry still promises a sunset date before the beta aliases go (6 of 12). Several removals of OpenRouter's own surface in the 90 days from 3 August, each published the day it shipped, `sleep_after_seconds` and the `ncompass` provider on 8 September, the `/interns` endpoints on 23 October, and the Python SDK's `end_users` namespace in 1.3.70 on 21 October (4 of 8). Dated changelog for every release that changes the spec, support not checked (12 of 15). SDK issue replies not sampled (5 of 10). Official SDKs in TypeScript and Python (and Go, not re-read on 1 November), generated from the OpenAPI document with Speakeasy, 242 and 279 tags since 3 August (15). Each SDK repository runs PR validation and publish workflows, per the 2 October check (10).\n- Vertex AI (Gemini Enterprise Agent Platform) (91): Model reading. Gemini Omni 1.2 Flash GA on 5 November, Grok 4.7 GA on 27 October, Gemini 4 Argon GA on 13 October and Claude Haiku 5.5 on 7 October 2026 (30). Stable models stay at least 12 months, and since 6 October Gemini 4 Argon and Gemini 3.8 Flash are in that tier, while 3.7 and 3.6 Flash remain short-term with at least 45 days' notice once a date is set (10 of 12, up from 8). Gemini 2.5 Pro, Flash and Flash-Lite were due to retire on 20 October, three models on one date after more than 12 months, with replacements named. We didn't check partner model retirements (6 of 8, down from 8). Dated release notes on most working days, newest 5 November, and Cloud Customer Care (15). python-genai replies not sampled this run (5 of 10). Current SDKs, google-genai 3.0.0 on 6 November and `@google/genai` 3.0.0, and google-cloud-aiplatform 2.7.0 on 28 October 2026 (15). Supported runtimes stated, Python 3.10 or later and Node 20 or later, per the 6 October check (10). Unchanged at 91.\n\n## Score by category\n\n| Category | Weight | OpenRouter | Vertex AI (Gemini Enterprise Agent Platform) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 99 | Vertex AI (Gemini Enterprise Agent Platform) +44 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 94 | Vertex AI (Gemini Enterprise Agent Platform) +4 |\n| Agent ergonomics | 13% (16.2 this run) | 85 | 97 | Vertex AI (Gemini Enterprise Agent Platform) +12 |\n| Security \u0026 auth | 14% (17.5 this run) | 67 | 97 | Vertex AI (Gemini Enterprise Agent Platform) +30 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 82 | 91 | Vertex AI (Gemini Enterprise Agent Platform) +9 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 90 | Vertex AI (Gemini Enterprise Agent Platform) +18 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **66.6 · B** | **88.7 · AA** | |\n\n## Facts side by side\n\n| Fact | OpenRouter | Vertex AI (Gemini Enterprise Agent Platform) |\n| --- | --- | --- |\n| Kind | Model router | Model API |\n| Vendor | OpenRouter | Google Cloud |\n| Hosted endpoint | `https://openrouter.ai/api/v1` | `https://aiplatform.googleapis.com/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Apache-2.0 (SDKs) | Proprietary service under the Google Cloud Platform terms. Partner models carry their providers' terms. The Google Gen AI SDKs are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-31 | 2026-11-05 |\n| Terms last updated | 2026-08-31 | 2026-09-02 |\n| Privacy policy last updated | 2026-08-31 | 2026-10-01 |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | yes | not found in the text |\n| Terms restrict benchmarking | yes | not found in the text |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 226 stars | 20.9M PyPI/wk |\n| Agent reviews | 3/5 (2) | none |\n\n## How the scores have moved\n\n### OpenRouter\n\n- -1.9 on 1 November 2026: new evidence, negative event\n- -0.1 on 28 October 2026: correction\n- +0.1 on 27 October 2026: checklist\n\n### Vertex AI (Gemini Enterprise Agent Platform)\n\nNo score change since it was listed.\n\n## Verdicts\n\n**OpenRouter.** Public OpenAPI document, llms.txt with Markdown twins, and a changelog generated from the spec on every release, with SDKs in TypeScript and Python tagged on 31 October 2026. Breaking changes ship with migration notes on the day, with no notice period. No machine payment, and USDC top-ups go to a prepaid balance.\n\n**Vertex AI (Gemini Enterprise Agent Platform).** Gemini, Claude and open models through one Google Cloud API with IAM, regional endpoints, schema-guaranteed JSON and a 99.5 per cent SLA, and no Vertex incident on the Cloud status page in the 90 days to 6 November 2026. Gemini 4 Argon and 3.8 Flash have 12-month availability, but short-term Flash models get a 95 per cent SLA.\n\n## Before you call either\n\n### OpenRouter\n\n1. Set `provider.data_collection: \"deny\"` or `provider.zdr: true` when the prompt holds anything private\n2. Pass a `models` list so a failed provider falls through to the next one\n3. Honour `Retry-After` on 429 and 503, and check the stream body for errors even on a 200\n4. Set `max_price` so a routed request can't land on an expensive provider\n5. Free models allow 50 requests a day until $10 of credit has been bought. Check `GET /api/v1/key` for what's left\n6. On `/messages` streams, stop at `message_stop` or an `error` event. No `[DONE]` frame is sent since 21 October 2026\n\n### Vertex AI (Gemini Enterprise Agent Platform)\n\n1. Call the `global` location on aiplatform.googleapis.com unless data residency requires a Region. The 429 guide says it spreads load and reduces errors\n2. Back off exponentially on 429 `Resource exhausted`. On Standard PayGo it means shared capacity is busy, not a fixed quota\n3. Send `response_schema` with `response_mime_type: application/json`. JSON mode alone doesn't guarantee valid output\n4. Set `store` to false on Interactions API calls. It defaults to true and keeps prompts and responses\n5. Pin `gemini-4-argon` or `gemini-3.8-flash`, both in the 12-month tier, rather than 3.7 or 3.6 Flash, which retire on 28 January 2027 and 19 November 2026\n\n## Questions\n\n### Which is better for AI agents, OpenRouter or Vertex AI (Gemini Enterprise Agent Platform)?\n\nVertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against OpenRouter's 66.6 (B), and leads in 6 of 7 scored categories.\n\n### Do OpenRouter and Vertex AI (Gemini Enterprise Agent Platform) need an API key?\n\nOpenRouter needs an API key. Vertex AI (Gemini Enterprise Agent Platform) takes an API key or an OAuth sign-in.\n\n### Can an agent call OpenRouter and Vertex AI (Gemini Enterprise Agent Platform) without installing anything?\n\nYes. OpenRouter has a hosted endpoint at https://openrouter.ai/api/v1 and Vertex AI (Gemini Enterprise Agent Platform) at https://aiplatform.googleapis.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"openrouter\", \"b\": \"vertex-ai\"}`. From a terminal: `anchor compare openrouter vertex-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/openrouter.json and https://www.anchorterminal.com/api/v1/tools/vertex-ai.json\n\n## Other comparisons with OpenRouter or Vertex AI (Gemini Enterprise Agent Platform)\n\n- [Amazon Bedrock vs OpenRouter](https://www.anchorterminal.com/compare/amazon-bedrock-vs-openrouter.md)\n- [Amazon Bedrock vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/amazon-bedrock-vs-vertex-ai.md)\n- [Claude API vs OpenRouter](https://www.anchorterminal.com/compare/anthropic-api-vs-openrouter.md)\n- [Claude API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/anthropic-api-vs-vertex-ai.md)\n- [Antseed vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/antseed-vs-vertex-ai.md)\n- [Azure OpenAI in Foundry Models vs OpenRouter](https://www.anchorterminal.com/compare/azure-openai-vs-openrouter.md)\n- [Azure OpenAI in Foundry Models vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/azure-openai-vs-vertex-ai.md)\n- [BlockRun.AI vs OpenRouter](https://www.anchorterminal.com/compare/blockrun-ai-vs-openrouter.md)\n- [BlockRun.AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/blockrun-ai-vs-vertex-ai.md)\n- [Cerebras Inference vs OpenRouter](https://www.anchorterminal.com/compare/cerebras-inference-vs-openrouter.md)\n- [Cerebras Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cerebras-inference-vs-vertex-ai.md)\n- [Cloudflare AI Gateway vs OpenRouter](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-openrouter.md)\n- [Cloudflare AI Gateway vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vertex-ai.md)\n- [Cloudflare Workers AI vs OpenRouter](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openrouter.md)\n- [Cloudflare Workers AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.md)\n- [Cohere Chat API (Command models) vs OpenRouter](https://www.anchorterminal.com/compare/cohere-chat-vs-openrouter.md)\n- [Cohere Chat API (Command models) vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cohere-chat-vs-vertex-ai.md)\n- [DeepInfra vs OpenRouter](https://www.anchorterminal.com/compare/deepinfra-vs-openrouter.md)\n- [DeepInfra vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/deepinfra-vs-vertex-ai.md)\n- [DeepSeek API vs OpenRouter](https://www.anchorterminal.com/compare/deepseek-api-vs-openrouter.md)\n- [DeepSeek API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/deepseek-api-vs-vertex-ai.md)\n- [Eden AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/eden-ai-vs-vertex-ai.md)\n- [Glimpse vs OpenRouter](https://www.anchorterminal.com/compare/elorian-glimpse-vs-openrouter.md)\n- [Glimpse vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/elorian-glimpse-vs-vertex-ai.md)\n- [Fireworks AI Inference vs OpenRouter](https://www.anchorterminal.com/compare/fireworks-inference-vs-openrouter.md)\n- [Fireworks AI Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/fireworks-inference-vs-vertex-ai.md)\n- [Gemini Developer API vs OpenRouter](https://www.anchorterminal.com/compare/gemini-api-vs-openrouter.md)\n- [Gemini Developer API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/gemini-api-vs-vertex-ai.md)\n- [GroqCloud vs OpenRouter](https://www.anchorterminal.com/compare/groq-vs-openrouter.md)\n- [GroqCloud vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/groq-vs-vertex-ai.md)\n- [Hugging Face Inference Providers vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-vertex-ai.md)\n- [Inkling 2 Small vs OpenRouter](https://www.anchorterminal.com/compare/inkling-2-small-vs-openrouter.md)\n- [Inkling 2 Small vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/inkling-2-small-vs-vertex-ai.md)\n- [Jais 3 vs OpenRouter](https://www.anchorterminal.com/compare/jais-3-vs-openrouter.md)\n- [Jais 3 vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/jais-3-vs-vertex-ai.md)\n- [Meta Model API vs OpenRouter](https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter.md)\n- [Meta Model API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/meta-model-api-vs-vertex-ai.md)\n- [MiniMax API vs OpenRouter](https://www.anchorterminal.com/compare/minimax-api-vs-openrouter.md)\n- [MiniMax API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/minimax-api-vs-vertex-ai.md)\n- [Mistral AI API vs OpenRouter](https://www.anchorterminal.com/compare/mistral-api-vs-openrouter.md)\n- [Mistral AI API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/mistral-api-vs-vertex-ai.md)\n- [Muse Spark Open vs OpenRouter](https://www.anchorterminal.com/compare/muse-spark-open-vs-openrouter.md)\n- [Muse Spark Open vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/muse-spark-open-vs-vertex-ai.md)\n- [Nemotron 3.5 Super VL vs OpenRouter](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-openrouter.md)\n- [Novita AI vs OpenRouter](https://www.anchorterminal.com/compare/novita-ai-vs-openrouter.md)\n- [Novita AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/novita-ai-vs-vertex-ai.md)\n- [OpenAI API vs OpenRouter](https://www.anchorterminal.com/compare/openai-api-vs-openrouter.md)\n- [OpenAI API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/openai-api-vs-vertex-ai.md)\n- [OpenRouter vs Prism Inference](https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.md)\n- [OpenRouter vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/openrouter-vs-ramp-router.md)\n- [OpenRouter vs Beam 1.0](https://www.anchorterminal.com/compare/openrouter-vs-reflection-beam.md)\n- [OpenRouter vs RouterPlus](https://www.anchorterminal.com/compare/openrouter-vs-routerplus.md)\n- [OpenRouter vs SambaCloud](https://www.anchorterminal.com/compare/openrouter-vs-sambanova.md)\n- [OpenRouter vs SiliconFlow](https://www.anchorterminal.com/compare/openrouter-vs-siliconflow.md)\n- [OpenRouter vs Simplismart](https://www.anchorterminal.com/compare/openrouter-vs-simplismart.md)\n- [OpenRouter vs StepFun API](https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api.md)\n- [OpenRouter vs SWE-2 Flash](https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash.md)\n- [OpenRouter vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/openrouter-vs-tencent-tokenhub.md)\n- [OpenRouter vs Together AI Inference](https://www.anchorterminal.com/compare/openrouter-vs-together-inference.md)\n- [OpenRouter vs Vercel AI Gateway](https://www.anchorterminal.com/compare/openrouter-vs-vercel-ai-gateway.md)\n- [OpenRouter vs xAI API (Grok)](https://www.anchorterminal.com/compare/openrouter-vs-xai-api.md)\n- [Prism Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/prism-inference-vs-vertex-ai.md)\n- [Router.com (Ramp Router) vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/ramp-router-vs-vertex-ai.md)\n- [Beam 1.0 vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/reflection-beam-vs-vertex-ai.md)\n- [RouterPlus vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/routerplus-vs-vertex-ai.md)\n- [SambaCloud vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/sambanova-vs-vertex-ai.md)\n- [SiliconFlow vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/siliconflow-vs-vertex-ai.md)\n- [Simplismart vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/simplismart-vs-vertex-ai.md)\n- [StepFun API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/stepfun-api-vs-vertex-ai.md)\n- [SWE-2 Flash vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/swe-2-flash-vs-vertex-ai.md)\n- [Tencent Cloud TokenHub vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/tencent-tokenhub-vs-vertex-ai.md)\n- [Together AI Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/together-inference-vs-vertex-ai.md)\n- [Vercel AI Gateway vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/vercel-ai-gateway-vs-vertex-ai.md)\n- [Vertex AI (Gemini Enterprise Agent Platform) vs xAI API (Grok)](https://www.anchorterminal.com/compare/vertex-ai-vs-xai-api.md)\n- [Antseed vs OpenRouter](https://www.anchorterminal.com/compare/antseed-vs-openrouter.md)\n- [Eden AI vs OpenRouter](https://www.anchorterminal.com/compare/eden-ai-vs-openrouter.md)\n- [Hugging Face Inference Providers vs OpenRouter](https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-openrouter.md)\n- [LiteLLM vs OpenRouter](https://www.anchorterminal.com/compare/litellm-vs-openrouter.md)\n- [Nemotron 3.5 Super VL vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vertex-ai.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": 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Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "OpenRouter B 66.6", "Vertex AI (Gemini Enterprise Agent Platform) AA 88.7", "scores" ], "h1": "OpenRouter vs Vertex AI (Gemini Enterprise Agent Platform)", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/openrouter-vs-vertex-ai", "published": "2026-10-01", "section": "tools", "title": "OpenRouter vs Vertex AI for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai" }, "tokens": { "markdown": 7050, "slim": 3280 }, "version": 1 }