{ "data": { "a": { "slug": "gemini-4-carbon", "name": "Gemini 4 Carbon", "vendor": "Google", "vendorUrl": "https://ai.google.dev", "kind": "model", "category": "inference", "summary": "Gemini 4 Carbon is Google's strongest Gemini model, for long agentic coding, cybersecurity and research work, on the paid tier of the Gemini API with a 1,048,576-token limit shared between input and output.", "url": "https://www.anchorterminal.com/tools/gemini-4-carbon", "markdownUrl": "https://www.anchorterminal.com/tools/gemini-4-carbon.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/gemini-4-carbon.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/gemini-4-carbon.json", "dns": "gemini-4-carbon.grade.anchorterminal.com", "license": "Closed model, used through the Gemini API and Google's apps under Google's terms", "transports": [], "remoteUrl": "https://generativelanguage.googleapis.com/v1beta", "packages": [], "auth": "api-key", "authNotes": "An `x-goog-api-key` from AI Studio on a project with billing, since Carbon is on the paid tier only, per the Gemini API listing and Google's developer post. Google AI Ultra subscribers can also use it in AI Studio and Antigravity. The `gemini-4-carbon-cyber-permissive` variant needs a project approved through Google's Fairwind Program.", "pricing": "usage", "pricingNotes": "Google's announcement gives an introductory $2 per million input tokens and $10 output, cached input 95% off, then $4 and $20, with no end date for the introduction. Paid tier only, no free tier. Every processed token is billed, thinking included (checked 2026-11-10).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No machine payment. Paid use needs billing on a Cloud project, per the Gemini API listing (checked 2026-11-10).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-10" }, "docsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/guides/gemini-4-carbon", "llmsTxt": "https://ai.google.dev/gemini-api/docs/llms.txt", "capabilities": [ "inference.llm" ], "tags": [ "official", "hosted", "model", "multimodal", "reasoning", "long-context", "tool-calling", "usage-priced", "card-required", "closed-source", "llms-txt", "new" ], "lastRelease": "2026-11-10", "graded": true, "anchor": { "graded": true, "score": 62.6, "grade": "B", "agentReady": false, "rank": 555, "ranked": true, "rankOf": 1518, "categoryRank": 22, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 93, "maintenance": 83, "payments": 20, "reliability": 40, "schema": 85, "security": 55, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-10" }, "negative": 0, "verdict": "Google's strongest model on the same Gemini API as Argon, with a 1M-token budget, function calling and structured output, at an introductory $2 and $10 per million tokens. Paid tier only, sampling parameters are ignored or refused, its launch stage isn't stated, and the price rises to $4 and $20 at a date Google hasn't given.", "bestFor": "Agents on the hardest long tasks (multi-step debugging, large codebases, open-ended research, security work) that can pay frontier prices and already use the Gemini API.", "strengths": [ "Introductory price of $2 input and $10 output per million tokens, with cached input 95% off", "1,048,576 tokens shared between input and output, with long decodes for big outputs", "Function calling, structured output, Google Search grounding and background execution", "Thinking levels LOW, MEDIUM (default) and HIGH, and implicit caching on by default", "The same API, keys and SDKs as Gemini 4 Argon, so switching is a model ID" ], "weaknesses": [ "Paid tier only, with no free tier to try it on", "temperature, top_p and top_k are ignored, and thinking_budget, MINIMAL, penalties and extra candidates return a 400", "No explicit context caching, and prefilled model turns aren't accepted", "The price goes to $4 and $20 after an introduction with no end date given", "Benchmark figures are Google's own, and the launch stage isn't stated" ], "agentNotes": [ "Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-carbon and an x-goog-api-key on a billed project", "Set thinking_level (LOW, MEDIUM or HIGH) instead of thinking_budget, and don't send temperature, top_p or top_k", "Count output against the same 1,048,576-token limit as the input, and set max_output_tokens for long answers", "Put static prompt content first so implicit caching applies; explicit caches aren't supported", "Use gemini-4-argon for most coding and knowledge work, and Carbon for the hardest long tasks, as Google suggests" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 62.6 } ], "editorialScores": { "ergonomics": 93, "maintenance": 83, "payments": 20, "reliability": 40, "schema": 85, "security": 55, "transparency": 55 }, "provenanceScore": 89, "checked": { "categories": { "ergonomics": "2026-11-10", "maintenance": "2026-11-10", "payments": "2026-11-10", "reliability": "2026-11-10", "schema": "2026-11-10", "security": "2026-11-10", "transparency": "2026-11-10" }, "last": "2026-11-10", "oldest": "2026-11-10", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl \"https://generativelanguage.googleapis.com/v1beta/models/gemini-4-carbon:generateContent\" \\\n -H \"x-goog-api-key: $GEMINI_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"contents\":[{\"parts\":[{\"text\":\"hello\"}]}]}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/gemini-4-carbon" }, "sameCompany": [ "vertex-ai", "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" ], "sameModel": [ "gemini-api" ], "area": "models", "unitPrices": [ { "item": "Gemini 4 Carbon input", "unit": "1m-tokens", "usd": 2, "note": "Introductory; $4 after, date not given" }, { "item": "Gemini 4 Carbon cached input", "unit": "1m-tokens", "usd": 0.1, "note": "95% off input" }, { "item": "Gemini 4 Carbon output", "unit": "1m-tokens", "usd": 10, "note": "Introductory; $20 after" } ], "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": "2026-11-10", "score": 89 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/gemini-4-carbon.json", "live": { "slug": "gemini-4-carbon", "probe": { "target": "https://generativelanguage.googleapis.com/v1beta", "method": "get", "lastAt": "2026-11-10T23:47:03.904361517Z", "lastOk": true, "lastStatus": 404, "lastMs": 35, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 41, "p95ms24h": 130, "samples24h": 63, "samples30d": 63, "days": [ { "date": "2026-11-10", "probes": 63, "ok": 63 } ], "since": "2026-11-10T17:42:25.910455739Z" }, "vendorStatus": { "page": "https://aistudio.google.com/status", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-10T23:00:42.593790699Z" }, "updatedAt": "2026-11-10T23:47:03.904361517Z" }, "streak": { "days": 0, "from": "2026-11-10", "sinceWatching": true, "best": 0 } }, "answer": "OpenRouter scores 66.6 (B) on agent readiness against Gemini 4 Carbon's 62.6 (B), and leads in 4 of 7 scored categories. Gemini 4 Carbon leads on agent ergonomics.", "b": { "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": 367, "ranked": true, "rankOf": 1518, "categoryRank": 17, "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": "2026-11-10T23:47:18.222686049Z", "lastOk": true, "lastStatus": 404, "lastMs": 143, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 160, "p95ms24h": 257, "samples24h": 244, "samples30d": 7904, "days": [ { "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": 243, "ok": 243 }, { "date": "2026-11-08", "probes": 243, "ok": 243 }, { "date": "2026-11-09", "probes": 243, "ok": 243 }, { "date": "2026-11-10", "probes": 242, "ok": 242 } ], "since": "2026-10-08T00:00:00Z" }, "vendorStatus": { "page": "https://status.openrouter.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-10T23:01:27.543048631Z" }, "versions": [ { "registry": "github", "name": "OpenRouterTeam/typescript-sdk", "version": "v1.5.73", "released": "2026-11-09", "seenAt": "2026-11-10T04:06:24.734730498Z" }, { "registry": "npm", "name": "@openrouter/sdk", "version": "1.5.73", "seenAt": "2026-11-10T04:06:23.843812256Z" }, { "registry": "pypi", "name": "openrouter", "version": "1.3.146", "released": "2026-11-09", "seenAt": "2026-11-10T04:06:24.617019832Z" } ], "githubStars": 265, "npmWeekly": 1403685, "pypiWeekly": 513429, "securityTxt": { "url": "https://openrouter.ai/.well-known/security.txt", "state": "valid", "expires": "2027-08-12T00:00:00.000Z", "checkedAt": "2026-11-10T16:08:40.259371973Z" }, "llmsTxt": { "url": "https://openrouter.ai/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-10T15:44:11.825912216Z" }, "domain": { "domain": "openrouter.ai", "registered": "2023-04-17", "source": "https://rdap.identitydigital.services/rdap/domain/openrouter.ai", "checkedAt": "2026-11-08T14:55:23.314824384Z" }, "pages": [ { "url": "https://openrouter.ai/docs/changelog", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-10T16:26:43.867742959Z", "changedAt": "2026-11-10T16:26:43.867742959Z", "fingerprint": "96986ec491ef" }, { "url": "https://openrouter.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-10T16:26:47.784595479Z", "changedAt": "2026-10-30T05:44:51.931625899Z", "fingerprint": "5cb2a28b714b" }, { "url": "https://openrouter.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-10T16:26:48.103328373Z", "changedAt": "2026-11-10T16:26:48.103328373Z", "fingerprint": "21853afab758" }, { "url": "https://openrouter.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-10T16:26:50.579133496Z", "changedAt": "2026-11-10T16:26:50.579133496Z", "fingerprint": "5fc05177b20d" } ], "github": { "repo": "openrouterteam/typescript-sdk", "checkedAt": "2026-11-09T10:49:17.721128634Z", "stars": 265, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-09T09:27:06Z", "openIssues": 14, "openPRs": 24, "issuesOpened90d": 11, "issuesClosed90d": 9, "prsMerged90d": 592, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-11-09T09:25:35Z" }, "replies": { "sampled": 25, "unanswered": 12, "medianDays": 70.8 } }, "updatedAt": "2026-11-10T23:47:18.222686049Z" }, "streak": { "days": 18, "from": "2026-10-23", "last": { "kind": "shutdown", "date": "2026-10-23", "what": "The `/interns` endpoints and their schemas are removed from the API", "source": "https://openrouter.ai/docs/changelog" }, "best": 18 } }, "edges": [ { "by": 20, "category": "payments", "leads": "openrouter", "name": "Payments \u0026 pricing", "reasons": { "a": "Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol (0). Introductory prices published in Google's 28 October announcement without a login, $2 and $10, then $4 and $20; the Gemini API pricing page as read on 10 November showed no Carbon row, so the figures rest on the announcement (20). No free tier: Google's developer post puts Carbon on the paid tier (0). A Google account and AI Studio for a key (0). 0 + 20 + 0 + 0 = 20.", "b": "No machine payment protocol found in the docs index. Credits can be bought in USDC through Coinbase, but calls draw on a prepaid balance (0). Per-token prices published per model without a login (20). 25 or more free models with no card, per the listing (20). Browser sign-up for the first key (0). Management API keys and OAuth PKCE mint keys in code, but only after a person has an account." }, "scores": { "a": 20, "b": 40 } }, { "by": 15, "category": "reliability", "leads": "openrouter", "name": "Reliability", "reasons": { "a": "Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published, per-model limits in AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). Carbon's launch stage isn't stated in Google's developer post, the Antigravity post or the Cloud developer guide read on 10 November, and the model ID carries no preview label, so half (5 of 10, a judgement call; Argon's GA earned the platform 10). 10 + 5 + 5 + 15 + 0 + 5 = 40.", "b": "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." }, "scores": { "a": 40, "b": 55 } }, { "by": 12, "category": "security", "leads": "openrouter", "name": "Security \u0026 auth", "reasons": { "a": "Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). Carbon is on the paid tier only, and Google's terms say paid-tier content isn't used to improve products; AI Studio use under a Google AI Ultra subscription falls under terms we didn't read, so 15 of 20 (a judgement call; the platform's 10 is for its free tier). Abuse retention with no number, and new paid projects store requests by default since 26 October (5 of 15). Request logs for billed projects (15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 15 + 5 + 15 + 5 = 55.", "b": "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)." }, "scores": { "a": 55, "b": 67 } }, { "by": 8, "category": "ergonomics", "leads": "gemini-4-carbon", "name": "Agent ergonomics", "reasons": { "a": "Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling, with forced calls by FunctionCallingConfig on the API (20). Structured output (13 of 15). Implicit caching with durable caching on by default, cached input 95% off, explicit caches not supported, per the Cloud guide read on 10 November (15). 1,048,576 tokens shared between input and output (15). Batch at half price on the platform (10). Python and JavaScript SDKs (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 15 + 15 + 10 + 10 + 10 = 93.", "b": "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)." }, "scores": { "a": 93, "b": 85 } }, { "by": 5, "category": "schema", "leads": "openrouter", "name": "Schema \u0026 documentation", "reasons": { "a": "Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Discovery document for GenerateContent (20 of 25). llms.txt with Markdown twins (10). The Cloud developer guide says what Carbon takes and refuses, the parameters that return 400 or are ignored, and how to migrate (15 of 20). Structured output to a JSON Schema with some keywords not enforced (10 of 15). Examples and an errors page (15). Dated changelog and model versions (15). 20 + 10 + 15 + 10 + 15 + 15 = 85.", "b": "Public OpenAPI document at openrouter.ai/docs/openapi/openapi.yaml (25). llms.txt with Markdown twins (10). Reference not read in full (15 of 20). Structured outputs documented, enforcement depends on the upstream model (10 of 15). Errors and debugging page and examples throughout (15). An API changelog generated from OpenAPI diffs on every release, with a human-reviewed Breaking section and migration notes, dated entries to 29 October 2026, and an API versioning page (15)." }, "scores": { "a": 85, "b": 90 } } ], "facts": [ { "a": "Model API", "b": "Model router", "name": "Kind" }, { "a": "Google", "b": "OpenRouter", "name": "Vendor" }, { "a": "https://generativelanguage.googleapis.com/v1beta", "b": "https://openrouter.ai/api/v1", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Closed model, used through the Gemini API and Google's apps under Google's terms", "b": "Apache-2.0 (SDKs)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-11-10", "b": "2026-10-31", "name": "Last release" }, { "a": "2026-04-28", "b": "2026-08-31", "name": "Terms last updated" }, { "a": "2026-10-01", "b": "2026-08-31", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "yes", "b": "yes", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "226 stars", "name": "Popularity" }, { "a": "none", "b": "3/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenRouter scores 66.6 (B) on agent readiness against Gemini 4 Carbon's 62.6 (B), and leads in 4 of 7 scored categories. Gemini 4 Carbon leads on agent ergonomics.", "question": "Which is better for AI agents, Gemini 4 Carbon or OpenRouter?" }, { "answer": "Both need an API key.", "question": "Do Gemini 4 Carbon and OpenRouter need an API key?" }, { "answer": "Yes. Gemini 4 Carbon has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and OpenRouter at https://openrouter.ai/api/v1.", "question": "Can an agent call Gemini 4 Carbon and OpenRouter without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Agent ergonomics, 93 against 85" ], "also": [ "No incidents deducted, where OpenRouter loses 3 points for them" ], "goodFor": "Agents on the hardest long tasks (multi-step debugging, large codebases, open-ended research, security work) that can pay frontier prices and already use the Gemini API.", "slug": "gemini-4-carbon", "watchFor": "Paid tier only, with no free tier to try it on" }, { "aheadOn": [ "Reliability, 55 against 40", "Schema \u0026 documentation, 90 against 85", "Security \u0026 auth, 67 against 55", "Payments \u0026 pricing, 40 against 20" ], "also": [ "Free to start without a card" ], "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" } ], "history": { "gemini-4-carbon": null, "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" } ] }, "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-carbon.json", "title": "Amazon Bedrock vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-carbon" }, { "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" }, { 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"https://www.anchorterminal.com/compare/jais-3-vs-openrouter" }, { "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/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/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/muse-ember-vs-openrouter.json", "title": "Muse Ember vs OpenRouter", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-openrouter" }, { "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/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/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/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-vertex-ai.json", "title": "OpenRouter vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai" }, { "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/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" } ], "panel": null, "scores": [ { "by": 15, "edge": "openrouter", "gemini-4-carbon": 40, "key": "reliability", "name": "Reliability", "openrouter": 55, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 5, "edge": "openrouter", "gemini-4-carbon": 85, "key": "schema", "name": "Schema \u0026 documentation", "openrouter": 90, "weight": 13 }, { "by": 8, "edge": "gemini-4-carbon", "gemini-4-carbon": 93, "key": "ergonomics", "name": "Agent ergonomics", "openrouter": 85, "weight": 13 }, { "by": 12, "edge": "openrouter", "gemini-4-carbon": 55, "key": "security", "name": "Security \u0026 auth", "openrouter": 67, "weight": 14 }, { "by": 20, "edge": "openrouter", "gemini-4-carbon": 20, "key": "payments", "name": "Payments \u0026 pricing", "openrouter": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 1, "edge": "gemini-4-carbon", "gemini-4-carbon": 83, "key": "maintenance", "name": "Maintenance \u0026 community", "openrouter": 82, "weight": 7 }, { "by": 0, "edge": "", "gemini-4-carbon": 72, "key": "transparency", "name": "Transparency \u0026 trust", "openrouter": 72, "weight": 7 } ], "summary": "OpenRouter scores 66.6 (B) on agent readiness against Gemini 4 Carbon's 62.6 (B), and leads in 4 of 7 scored categories. Gemini 4 Carbon leads on agent ergonomics. Both do llm inference.", "tasks": null, "tutorials": [], "verdicts": { "gemini-4-carbon": "Google's strongest model on the same Gemini API as Argon, with a 1M-token budget, function calling and structured output, at an introductory $2 and $10 per million tokens. Paid tier only, sampling parameters are ignored or refused, its launch stage isn't stated, and the price rises to $4 and $20 at a date Google hasn't given.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openrouter", "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openrouter.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openrouter.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openrouter.min.md" }, "markdown": "OpenRouter scores 66.6 (B) on agent readiness against Gemini 4 Carbon's 62.6 (B), and leads in 4 of 7 scored categories. Gemini 4 Carbon leads on agent ergonomics. Both do llm inference.\n\n- Gemini 4 Carbon: grade B, 62.6/100, rank #555 of 1518. Markdown https://www.anchorterminal.com/tools/gemini-4-carbon.md · JSON https://www.anchorterminal.com/api/v1/tools/gemini-4-carbon.json\n- OpenRouter: grade B, 66.6/100, rank #367 of 1518. Markdown https://www.anchorterminal.com/tools/openrouter.md · JSON https://www.anchorterminal.com/api/v1/tools/openrouter.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 1000 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Gemini 4 Carbon (B)\n\nGood for: Agents on the hardest long tasks (multi-step debugging, large codebases, open-ended research, security work) that can pay frontier prices and already use the Gemini API.\n\nAhead on:\n- Agent ergonomics, 93 against 85\n\nAlso in its favour:\n- No incidents deducted, where OpenRouter loses 3 points for them\n\nWatch for: Paid tier only, with no free tier to try it on\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\nAhead on:\n- Reliability, 55 against 40\n- Schema \u0026 documentation, 90 against 85\n- Security \u0026 auth, 67 against 55\n- Payments \u0026 pricing, 40 against 20\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: No machine payment. USDC top-ups go to a prepaid balance\n\n\n## Why the edge\n\n### Payments \u0026 pricing: OpenRouter +20\n\n- Gemini 4 Carbon (20): Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol (0). Introductory prices published in Google's 28 October announcement without a login, $2 and $10, then $4 and $20; the Gemini API pricing page as read on 10 November showed no Carbon row, so the figures rest on the announcement (20). No free tier: Google's developer post puts Carbon on the paid tier (0). A Google account and AI Studio for a key (0). 0 + 20 + 0 + 0 = 20.\n- OpenRouter (40): No machine payment protocol found in the docs index. Credits can be bought in USDC through Coinbase, but calls draw on a prepaid balance (0). Per-token prices published per model without a login (20). 25 or more free models with no card, per the listing (20). Browser sign-up for the first key (0). Management API keys and OAuth PKCE mint keys in code, but only after a person has an account.\n\n### Reliability: OpenRouter +15\n\n- Gemini 4 Carbon (40): Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at aistudio.google.com/status with no readable components or history (10 of 20) and no readable incident record (5 of 30). Rate-limit tiers and spend limits published, per-model limits in AI Studio (5 of 15). Backoff guidance for 429 and 503 and SDK retries (15). No SLA (0). Carbon's launch stage isn't stated in Google's developer post, the Antigravity post or the Cloud developer guide read on 10 November, and the model ID carries no preview label, so half (5 of 10, a judgement call; Argon's GA earned the platform 10). 10 + 5 + 5 + 15 + 0 + 5 = 40.\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\n### Security \u0026 auth: OpenRouter +12\n\n- Gemini 4 Carbon (55): Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Keys bound to a service account and restricted to the Gemini API, with no scopes and a token accepted in the URL (15 of 30, the platform's deduction). Carbon is on the paid tier only, and Google's terms say paid-tier content isn't used to improve products; AI Studio use under a Google AI Ultra subscription falls under terms we didn't read, so 15 of 20 (a judgement call; the platform's 10 is for its free tier). Abuse retention with no number, and new paid projects store requests by default since 26 October (5 of 15). Request logs for billed projects (15). security.txt and a reward programme, no certification naming the API (5 of 20). 15 + 15 + 5 + 15 + 5 = 55.\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\n### Agent ergonomics: Gemini 4 Carbon +8\n\n- Gemini 4 Carbon (93): Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Function calling, with forced calls by FunctionCallingConfig on the API (20). Structured output (13 of 15). Implicit caching with durable caching on by default, cached input 95% off, explicit caches not supported, per the Cloud guide read on 10 November (15). 1,048,576 tokens shared between input and output (15). Batch at half price on the platform (10). Python and JavaScript SDKs (10). Error codes with backoff guidance (10 of 15). 20 + 13 + 15 + 15 + 10 + 10 + 10 = 93.\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\n### Schema \u0026 documentation: OpenRouter +5\n\n- Gemini 4 Carbon (85): Model reading for gemini-4-carbon on the Gemini API. Platform facts are the Gemini API listing's (gemini-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Discovery document for GenerateContent (20 of 25). llms.txt with Markdown twins (10). The Cloud developer guide says what Carbon takes and refuses, the parameters that return 400 or are ignored, and how to migrate (15 of 20). Structured output to a JSON Schema with some keywords not enforced (10 of 15). Examples and an errors page (15). Dated changelog and model versions (15). 20 + 10 + 15 + 10 + 15 + 15 = 85.\n- OpenRouter (90): Public OpenAPI document at openrouter.ai/docs/openapi/openapi.yaml (25). llms.txt with Markdown twins (10). Reference not read in full (15 of 20). Structured outputs documented, enforcement depends on the upstream model (10 of 15). Errors and debugging page and examples throughout (15). An API changelog generated from OpenAPI diffs on every release, with a human-reviewed Breaking section and migration notes, dated entries to 29 October 2026, and an API versioning page (15).\n\n## Score by category\n\n| Category | Weight | Gemini 4 Carbon | OpenRouter | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 55 | OpenRouter +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 85 | 90 | OpenRouter +5 |\n| Agent ergonomics | 13% (16.2 this run) | 93 | 85 | Gemini 4 Carbon +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 55 | 67 | OpenRouter +12 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | OpenRouter +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 82 | Gemini 4 Carbon +1 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 72 | 72 | even |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **62.6 · B** | **66.6 · B** | |\n\n## Facts side by side\n\n| Fact | Gemini 4 Carbon | OpenRouter |\n| --- | --- | --- |\n| Kind | Model API | Model router |\n| Vendor | Google | OpenRouter |\n| Hosted endpoint | `https://generativelanguage.googleapis.com/v1beta` | `https://openrouter.ai/api/v1` |\n| Transports | | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Closed model, used through the Gemini API and Google's apps under Google's terms | Apache-2.0 (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-10 | 2026-10-31 |\n| Terms last updated | 2026-04-28 | 2026-08-31 |\n| Privacy policy last updated | 2026-10-01 | 2026-08-31 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | none | 226 stars |\n| Agent reviews | none | 3/5 (2) |\n\n## How the scores have moved\n\n### Gemini 4 Carbon\n\nNo score change since it was listed.\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## Verdicts\n\n**Gemini 4 Carbon.** Google's strongest model on the same Gemini API as Argon, with a 1M-token budget, function calling and structured output, at an introductory $2 and $10 per million tokens. Paid tier only, sampling parameters are ignored or refused, its launch stage isn't stated, and the price rises to $4 and $20 at a date Google hasn't given.\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## Before you call either\n\n### Gemini 4 Carbon\n\n1. Call generateContent at https://generativelanguage.googleapis.com/v1beta with model gemini-4-carbon and an x-goog-api-key on a billed project\n2. Set thinking_level (LOW, MEDIUM or HIGH) instead of thinking_budget, and don't send temperature, top_p or top_k\n3. Count output against the same 1,048,576-token limit as the input, and set max_output_tokens for long answers\n4. Put static prompt content first so implicit caching applies; explicit caches aren't supported\n5. Use gemini-4-argon for most coding and knowledge work, and Carbon for the hardest long tasks, as Google suggests\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## Questions\n\n### Which is better for AI agents, Gemini 4 Carbon or OpenRouter?\n\nOpenRouter scores 66.6 (B) on agent readiness against Gemini 4 Carbon's 62.6 (B), and leads in 4 of 7 scored categories. Gemini 4 Carbon leads on agent ergonomics.\n\n### Do Gemini 4 Carbon and OpenRouter need an API key?\n\nBoth need an API key.\n\n### Can an agent call Gemini 4 Carbon and OpenRouter without installing anything?\n\nYes. Gemini 4 Carbon has a hosted endpoint at https://generativelanguage.googleapis.com/v1beta and OpenRouter at https://openrouter.ai/api/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openrouter.json, and with the fewest tokens: https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openrouter.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"gemini-4-carbon\", \"b\": \"openrouter\"}`. From a terminal: `anchor compare gemini-4-carbon openrouter`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/gemini-4-carbon.json and https://www.anchorterminal.com/api/v1/tools/openrouter.json\n\n## Other comparisons with Gemini 4 Carbon or OpenRouter\n\n- [Amazon Bedrock vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-carbon.md)\n- [Amazon Bedrock vs OpenRouter](https://www.anchorterminal.com/compare/amazon-bedrock-vs-openrouter.md)\n- [Claude API vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-carbon.md)\n- [Claude API vs OpenRouter](https://www.anchorterminal.com/compare/anthropic-api-vs-openrouter.md)\n- [Antseed vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/antseed-vs-gemini-4-carbon.md)\n- [Azure OpenAI in Foundry Models vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/azure-openai-vs-gemini-4-carbon.md)\n- [Azure OpenAI in Foundry Models vs OpenRouter](https://www.anchorterminal.com/compare/azure-openai-vs-openrouter.md)\n- [BlockRun.AI vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-carbon.md)\n- [BlockRun.AI vs OpenRouter](https://www.anchorterminal.com/compare/blockrun-ai-vs-openrouter.md)\n- [Cerebras Inference vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-carbon.md)\n- [Cerebras Inference vs OpenRouter](https://www.anchorterminal.com/compare/cerebras-inference-vs-openrouter.md)\n- [Claude Fable 5.2 vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/claude-fable-5-2-vs-gemini-4-carbon.md)\n- [Claude Fable 5.2 vs OpenRouter](https://www.anchorterminal.com/compare/claude-fable-5-2-vs-openrouter.md)\n- [Claude Mythos 5.2 vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-4-carbon.md)\n- [Claude Mythos 5.2 vs OpenRouter](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openrouter.md)\n- [Cloudflare AI Gateway vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-4-carbon.md)\n- [Cloudflare AI Gateway vs OpenRouter](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-openrouter.md)\n- [Cloudflare Workers AI vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-carbon.md)\n- [Cloudflare Workers AI vs OpenRouter](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openrouter.md)\n- [Cohere Chat API (Command models) vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-4-carbon.md)\n- [Cohere Chat API (Command models) vs OpenRouter](https://www.anchorterminal.com/compare/cohere-chat-vs-openrouter.md)\n- [DeepInfra vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/deepinfra-vs-gemini-4-carbon.md)\n- [DeepInfra vs OpenRouter](https://www.anchorterminal.com/compare/deepinfra-vs-openrouter.md)\n- [DeepSeek API vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-4-carbon.md)\n- [DeepSeek API vs OpenRouter](https://www.anchorterminal.com/compare/deepseek-api-vs-openrouter.md)\n- [Eden AI vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/eden-ai-vs-gemini-4-carbon.md)\n- [Glimpse vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-carbon.md)\n- [Glimpse vs OpenRouter](https://www.anchorterminal.com/compare/elorian-glimpse-vs-openrouter.md)\n- [Fireworks AI Inference vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/fireworks-inference-vs-gemini-4-carbon.md)\n- [Fireworks AI Inference vs OpenRouter](https://www.anchorterminal.com/compare/fireworks-inference-vs-openrouter.md)\n- [Gemini 4 Carbon vs Gemini Developer API](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-gemini-api.md)\n- [Gemini 4 Carbon vs GroqCloud](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-groq.md)\n- [Gemini 4 Carbon vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-hugging-face-inference-providers.md)\n- [Gemini 4 Carbon vs Inkling 2 Small](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-inkling-2-small.md)\n- [Gemini 4 Carbon vs Jais 3](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-jais-3.md)\n- [Gemini 4 Carbon vs Meta Model API](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-meta-model-api.md)\n- [Gemini 4 Carbon vs MiniMax API](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-minimax-api.md)\n- [Gemini 4 Carbon vs Mistral AI API](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-mistral-api.md)\n- [Gemini 4 Carbon vs Muse Ember](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-muse-ember.md)\n- [Gemini 4 Carbon vs Muse Spark Open](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-muse-spark-open.md)\n- [Gemini 4 Carbon vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-nemotron-3-5-super-vl.md)\n- [Gemini 4 Carbon vs Novita AI](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-novita-ai.md)\n- [Gemini 4 Carbon vs OpenAI API](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openai-api.md)\n- [Gemini 4 Carbon vs Prism Inference](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-prism-inference.md)\n- [Gemini 4 Carbon vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-ramp-router.md)\n- [Gemini 4 Carbon vs Beam 1.0](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-reflection-beam.md)\n- [Gemini 4 Carbon vs RouterPlus](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-routerplus.md)\n- [Gemini 4 Carbon vs SambaCloud](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-sambanova.md)\n- [Gemini 4 Carbon vs SiliconFlow](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-siliconflow.md)\n- [Gemini 4 Carbon vs Simplismart](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-simplismart.md)\n- [Gemini 4 Carbon vs StepFun API](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-stepfun-api.md)\n- [Gemini 4 Carbon vs SWE-2 Flash](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-swe-2-flash.md)\n- [Gemini 4 Carbon vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-tencent-tokenhub.md)\n- [Gemini 4 Carbon vs Together AI Inference](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-together-inference.md)\n- [Gemini 4 Carbon vs Vercel AI Gateway](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-vercel-ai-gateway.md)\n- [Gemini 4 Carbon vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-vertex-ai.md)\n- [Gemini 4 Carbon vs xAI API (Grok)](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-xai-api.md)\n- [Gemini Developer API vs OpenRouter](https://www.anchorterminal.com/compare/gemini-api-vs-openrouter.md)\n- [GroqCloud vs OpenRouter](https://www.anchorterminal.com/compare/groq-vs-openrouter.md)\n- [Inkling 2 Small vs OpenRouter](https://www.anchorterminal.com/compare/inkling-2-small-vs-openrouter.md)\n- [Jais 3 vs OpenRouter](https://www.anchorterminal.com/compare/jais-3-vs-openrouter.md)\n- [Meta Model API vs OpenRouter](https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter.md)\n- [MiniMax API vs OpenRouter](https://www.anchorterminal.com/compare/minimax-api-vs-openrouter.md)\n- [Mistral AI API vs OpenRouter](https://www.anchorterminal.com/compare/mistral-api-vs-openrouter.md)\n- [Muse Ember vs OpenRouter](https://www.anchorterminal.com/compare/muse-ember-vs-openrouter.md)\n- [Muse Spark Open vs OpenRouter](https://www.anchorterminal.com/compare/muse-spark-open-vs-openrouter.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- [OpenAI API vs OpenRouter](https://www.anchorterminal.com/compare/openai-api-vs-openrouter.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 Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai.md)\n- [OpenRouter vs xAI API (Grok)](https://www.anchorterminal.com/compare/openrouter-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", "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": "2026-11-10", "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": 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