{ "data": { "a": { "slug": "cloudflare-workers-ai", "name": "Cloudflare Workers AI", "vendor": "Cloudflare, Inc.", "vendorUrl": "https://www.cloudflare.com", "kind": "model", "category": "inference", "summary": "Workers AI is Cloudflare's serverless inference service for open-weight models, covering text generation, embeddings, images and speech. Agents call it through the Cloudflare REST API, OpenAI-compatible endpoints or a Workers binding.", "url": "https://www.anchorterminal.com/tools/cloudflare-workers-ai", "markdownUrl": "https://www.anchorterminal.com/tools/cloudflare-workers-ai.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cloudflare-workers-ai.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json", "dns": "cloudflare-workers-ai.grade.anchorterminal.com", "repo": "https://github.com/cloudflare/api-schemas", "license": "Proprietary service under Cloudflare's Self-Serve Subscription Agreement. Each hosted model carries its own open-weight licence, linked from its model page. The `cloudflare` SDKs are Apache-2.0, `workers-ai-provider` is MIT and the OpenAPI repository is BSD-3-Clause", "transports": [ "http" ], "remoteUrl": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai", "packages": [ { "registry": "npm", "name": "workers-ai-provider" }, { "registry": "npm", "name": "cloudflare" }, { "registry": "pypi", "name": "cloudflare" } ], "auth": "api-key", "authNotes": "A Cloudflare API token as a Bearer header, created by a person in the dashboard, with the Workers AI Read or Workers AI Edit permission on an account. Tokens can carry an expiry and an IP address filter. Inside a Worker the `AI` binding needs no token. The API reference also accepts the older global API key with an account email. Later tokens can be created through the API with an existing token.", "pricing": "freemium", "pricingNotes": "$0.011 per 1,000 neurons, shown per model as token, image or audio prices, for example Gemma 4 26B at $0.10 in and $0.30 out per 1M tokens. 10,000 neurons a day are free on the Workers Free and Paid plans, and going past that needs Workers Paid, from $5 a month. Eight frontier models need Workers Paid or prepaid AI Gateway credits. A Free plan account starts without a contract (https://developers.cloudflare.com/workers-ai/platform/pricing/, checked 2026-11-01).", "priceSummary": "from $0.0605 / 1M in", "where": "hosted", "x402": { "level": "partial", "evidence": "AI Gateway Machine Payments, in beta since 30 September 2026, takes x402 payment on `POST /ai/run` for four open models when the request carries `Payment-Method: x402`. It needs a Cloudflare API token, a United States account and a card on file. The per-model route `/ai/run/{model_name}` and the OpenAI-style routes are not covered. We did not call it (https://developers.cloudflare.com/ai-gateway/features/machine-payments/, checked 2026-10-09).", "endpoints": [ { "url": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run", "priceUsd": null, "network": "" } ] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 379824, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://developers.cloudflare.com/workers-ai/", "rateLimitsUrl": "https://developers.cloudflare.com/workers-ai/platform/limits/", "llmsTxt": "https://developers.cloudflare.com/workers-ai/llms.txt", "openapi": "https://raw.githubusercontent.com/cloudflare/api-schemas/main/openapi.json", "capabilities": [ "inference.llm", "inference.open-weights", "embed.text", "rerank", "image.generate", "speech.stt", "speech.tts", "compute.batch" ], "tags": [ "hosted", "model", "open-weights", "usage-based", "free-tier", "x402", "openapi", "llms-txt", "openai-compatible", "batch", "prompt-caching", "typescript", "python", "go", "status-page", "bug-bounty" ], "lastRelease": "2026-10-21", "graded": true, "anchor": { "graded": true, "score": 69.2, "grade": "B", "agentReady": false, "rank": 258, "ranked": true, "rankOf": 1518, "categoryRank": 12, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 72, "payments": 52, "reliability": 68, "schema": 80, "security": 80, "transparency": 76 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -3, "negativeNotes": [ "28 July 2026. Kimi K2.6, Kimi K2.7 Code and GLM-5.2 began returning 403 (code 5035) on the Workers Free plan on the day of the notice, with no advance warning found. Three points (https://developers.cloudflare.com/changelog/post/2026-07-28-models-require-workers-paid/)." ], "verdict": "Per-model prices, rate limits and JSON Schemas are public, 10,000 neurons a day are free, and x402 payment is in beta on `/ai/run` for four models. No SLA was found, three models moved to paid-only access on 28 July 2026 with no notice, and the REST quick start still uses a model retired in May.", "bestFor": "Agents that already run on Cloudflare Workers, or that want open-weight chat, embedding, reranking, speech and image models behind one token with a free daily allowance.", "strengths": [ "Per-model token prices, cached-input prices and neuron rates are published without a login, with 10,000 neurons a day free on the Workers Free plan", "x402 payment (Machine Payments, beta since 30 September 2026) works on `POST /ai/run` for four open models", "Rate limits are published per task type, and a 429 separates a spent free allocation (3036) from capacity (3040)", "API tokens are limited to Workers AI permissions on an account, with optional expiry and IP address filtering", "Cloudflare states ISO 27001, 27018 and 27701 certification for its global cloud platform, and security.txt points to a HackerOne programme" ], "weaknesses": [ "No SLA for Workers AI was found in the docs or the agreements read", "Three models moved to paid-only access on 28 July 2026, the day of the notice, and Free plan calls to them return 403", "Eighteen models were retired on 30 May 2026 with 22 days' notice, and no minimum notice period is published", "The REST quick start and the OpenAI-compatibility page still name `@cf/meta/llama-3.1-8b-instruct`, which is on the 30 May 2026 retirement list", "The x402 route still needs a Cloudflare API token, a United States account and a card on file" ], "agentNotes": [ "Check the model page before calling. Eight models need Workers Paid or AI Gateway credits and return 403 with code 5035 on the Free plan", "Read the internal code on a 429. 3036 means the day's 10,000 free neurons are spent until 00:00 UTC, 3040 means capacity, so retry later", "Set `options.rejectIfBusy` to fail fast, or add `?queueRequest=true` for the batch route when the answer can wait", "Send the same `x-session-affinity` value on every turn of a session to reach the prefix cache and the cached-input price", "Use `createAI` from `agents/models/ai-sdk` for the Vercel AI SDK. `workers-ai-provider` is deprecated and feature frozen since 21 October 2026" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "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": 69.2 } ], "editorialScores": { "ergonomics": 75, "maintenance": 72, "payments": 52, "reliability": 68, "schema": 80, "security": 80, "transparency": 56 }, "provenanceScore": 96, "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": { "http": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/google/gemma-4-26b-a4b-it \\\n -X POST \\\n -H \"Authorization: Bearer $CLOUDFLARE_AUTH_TOKEN\" \\\n -d '{ \"messages\": [{ \"role\": \"system\", \"content\": \"You are a friendly assistant\" }, { \"role\": \"user\", \"content\": \"Why is pizza so good\" }]}'", "x402": "curl -iX POST \"https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run\" \\\n --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n --header \"Payment-Method: x402\" \\\n --header \"Content-Type: application/json\" \\\n --data '{\"model\":\"z-ai/glm-4.7-flash\",\"input\":{\"messages\":[{\"role\":\"user\",\"content\":\"What is Cloudflare?\"}]}}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/cloudflare-workers-ai" }, "sameCompany": [ "cloudflare-ai-gateway", "cloudflare-sandbox-sdk", "cloudflare-workers-oauth-provider", "cloudflare-web-search", "cloudflare-clairic", "cloudflare-ai-search", "cloudflare-cli", "cloudflare-mcp", "cloudflare-email-service", "cloudflare-r2", "cloudflare-clef" ], "area": "models", "unitPrices": [ { "item": "Whisper large v3 turbo, speech to text", "unit": "audio-minute", "usd": 0.0005, "note": "46.63 neurons" }, { "item": "Deepgram Nova-3, speech to text", "unit": "audio-minute", "usd": 0.0052, "note": "472.73 neurons. $0.0092 over WebSocket" }, { "item": "Deepgram Aura-1, text to speech", "unit": "1m-chars", "usd": 15, "note": "listed as $0.015 per 1,000 characters" }, { "item": "Deepgram Aura-2, text to speech", "unit": "1m-chars", "usd": 30, "note": "listed as $0.030 per 1,000 characters, English and Spanish" } ], "provenance": { "legalEntity": "Cloudflare, Inc.", "domain": "cloudflare.com", "domainRegistered": "2009-02-17", "endpointOnVendorDomain": true, "terms": "https://www.cloudflare.com/terms/", "privacy": "https://www.cloudflare.com/privacypolicy/", "statusPage": "https://www.cloudflarestatus.com", "changelog": "https://developers.cloudflare.com/changelog/product/workers-ai/", "securityTxt": "valid", "checked": "2026-11-01", "notes": [ "Terms are the Self-Serve Subscription Agreement, last updated 12 September 2025, which names Cloudflare, Inc. at 101 Townsend St, San Francisco. The Workers AI data usage page cites it and the Enterprise Subscription Agreement as the governing documents.", "The service-specific terms (https://www.cloudflare.com/service-specific-terms-developer-platform/), last updated 28 September 2026, have a section for Workers AI and AI Gateway that supplements the agreement.", "The privacy policy is effective from 4 November 2025.", "www.cloudflare.com/.well-known/security.txt, re-read on 1 November 2026, names HackerOne and a disclosure policy and has no Expires field. It is recorded as valid to match the other Cloudflare listings.", "The endpoint is on api.cloudflare.com.", "The status page lists Workers AI as its own component. Its only incident from 16 to 31 October 2026 had impact none.", "RDAP for cloudflare.com gives a registration date of 2009-02-17.", "The Workers AI changelog page (https://developers.cloudflare.com/workers-ai/changelog/) still stops at 16 June 2026 on 1 November, so the product changelog is recorded." ], "score": 96 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cloudflare-workers-ai.json", "live": { "slug": "cloudflare-workers-ai", "probe": { "target": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai", "method": "get", "lastAt": "2026-11-08T12:33:04.046828663Z", "lastOk": true, "lastStatus": 404, "lastMs": 22, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 18, "p95ms24h": 64, "samples24h": 242, "samples30d": 7388, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "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": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 249, "ok": 249 }, { "date": "2026-10-30", "probes": 248, "ok": 248 }, { "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": 127, "ok": 127 } ], "since": "0001-01-01T00:00:00Z" }, "vendorStatus": { "page": "https://www.cloudflarestatus.com", "indicator": "minor", "summary": "Partially Degraded Service", "checkedAt": "2026-11-10T23:47:49.715076725Z" }, "versions": [ { "registry": "npm", "name": "cloudflare", "version": "7.3.0", "seenAt": "2026-11-10T03:29:37.228703437Z" }, { "registry": "npm", "name": "workers-ai-provider", "version": "4.0.1", "seenAt": "2026-11-10T03:29:36.413550084Z" }, { "registry": "pypi", "name": "cloudflare", "version": "5.10.0", "released": "2026-11-05", "seenAt": "2026-11-10T03:29:38.429559851Z" } ], "githubStars": 202, "npmWeekly": 644010, "pypiWeekly": 615457, "securityTxt": { "url": "https://cloudflare.com/.well-known/security.txt", "state": "valid", "checkedAt": "2026-11-10T16:07:42.614638464Z" }, "llmsTxt": { "url": "https://developers.cloudflare.com/workers-ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-10T15:42:46.827211831Z" }, "domain": { "domain": "cloudflare.com", "registered": "2009-02-17", "source": "https://rdap.verisign.com/com/v1/domain/cloudflare.com", "checkedAt": "2026-11-08T14:52:51.11924704Z" }, "pages": [ { "url": "https://developers.cloudflare.com/changelog/product/workers-ai/", "kind": "changelog", "status": 200, "checkedAt": "2026-10-19T23:54:54.235989073Z", "changedAt": "2026-10-19T23:54:54.235989073Z", "fingerprint": "4c2480e76a2d" }, { "url": "https://developers.cloudflare.com/changelog/post/2026-05-08-planned-model-deprecations/", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-10T16:14:34.615343789Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "456d5c31e53a" }, { "url": "https://developers.cloudflare.com/changelog/post/2026-07-28-models-require-workers-paid/", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-10T16:14:36.420824785Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "23663c817503" } ], "github": { "repo": "cloudflare/api-schemas", "checkedAt": "2026-11-09T10:15:29.419823449Z", "stars": 202, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-09T09:47:49Z", "openIssues": 15, "openPRs": 1, "issuesOpened90d": 12, "issuesClosed90d": 1, "prsMerged90d": 0, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-11-09T09:48:19Z" }, "replies": { "sampled": 16, "unanswered": 15, "medianDays": 0 } }, "updatedAt": "2026-11-10T23:47:49.715076725Z" }, "streak": { "days": 0, "from": "2026-11-10", "sinceWatching": true, "last": { "kind": "breaking", "date": "2026-07-28", "what": "`@cf/moonshotai/kimi-k2.6`, `@cf/moonshotai/kimi-k2.7-code` and `@cf/zai-org/glm-5.2` need the Workers Paid plan", "source": "https://developers.cloudflare.com/changelog/post/2026-07-28-models-require-workers-paid/" }, "best": 0 } }, "answer": "Cloudflare Workers AI scores 69.2 (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 schema \u0026 documentation, agent ergonomics and maintenance \u0026 community.", "b": { "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 } }, "edges": [ { "by": 32, "category": "payments", "leads": "cloudflare-workers-ai", "name": "Payments \u0026 pricing", "reasons": { "a": "x402 is in beta on `POST /ai/run` since 30 September 2026 for four of 69 models. It still needs a Cloudflare API token, a United States account and a card on file, and the per-model and OpenAI-style routes are not covered. We did not call it (12 of 40). Per-model token, image and audio prices and the neuron rate are published without a login (20). 10,000 neurons a day are free on the Workers Free plan, and the pricing page asks for a paid plan only past that. We did not sign up to confirm that no card is asked for (20). A person creates the account and the first token in a browser, and the x402 route needs both (0). The Machine Payments page (last updated 30 September) and the pricing page (20 October) were re-read on 1 November and say the same. 12 + 20 + 20 + 0 = 52.", "b": "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." }, "scores": { "a": 52, "b": 20 } }, { "by": 28, "category": "reliability", "leads": "cloudflare-workers-ai", "name": "Reliability", "reasons": { "a": "Hosted reading. www.cloudflarestatus.com is a Statuspage with Workers AI, AI Gateway and API as separate components (20). The incidents feed read on 9 October held 50 incidents from 21 September to 8 October 2026, none naming Workers AI or AI Gateway. The feed read on 1 November holds 50 incidents from 16 to 31 October. Workers AI is listed only in \"Issues with AI Security for Apps\" on 27 October, intermittent failures in unsafe topic detection with impact none, resolved after 38 minutes. The 23 October network incident, labelled major, describes some traffic between Ashburn and Atlanta and some customers in North America, so it reads as partial, as this run's other Cloudflare re-checks read regional incidents. The history page loads by script, so 3 August to 20 September and 9 to 15 October went unread. The 28 July changelog that cited 429 and 3040 capacity errors has left the 90 days, so the line is 12 of 30 (10 before), as cloudflare-r2 and cloudflare-mcp read the same page with an unread stretch on 1 November. Limits are published per task type, 300 requests a minute for text generation and 20 or 50 a minute per paid model, unchanged since 17 September (15). A 429 carries code 3036 for a spent free allocation or 3040 for capacity, `rejectIfBusy` fails fast, the batch route queues work, and the Cloudflare API returns `retry-after` and `Ratelimit` headers for its own limit. No `Retry-After` or backoff figures were found for a 3040 (11 of 15). No SLA for Workers AI was found. The legal index names only an enterprise support and SLA page, which we did not read (0). The limits page says Workers AI is generally available, with lower limits possible on beta models (10). 20 + 12 + 15 + 11 + 0 + 10 = 68.", "b": "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." }, "scores": { "a": 68, "b": 40 } }, { "by": 25, "category": "security", "leads": "cloudflare-workers-ai", "name": "Security \u0026 auth", "reasons": { "a": "Model reading. Cloudflare API tokens are revocable, limited to Workers AI Read or Edit on chosen accounts, and take an expiry and an IP address filter. Permission is per account, not per model, and the API reference also accepts the older global API key (27 of 30). The data usage page and the service-specific terms of 28 September 2026 say Customer Content is not used to train models without consent. The data page adds that it is not used to improve services, while clause 9 of the same terms section allows use as needed to provide and improve the Services (17 of 20). The data page says content may be stored if a storage service is used with Workers AI. It gives no retention period for inference inputs and no explicit zero-retention statement, and AI Gateway logs prompts and responses by default when a call is routed through a gateway (9 of 15). Gateway logs record prompt, response, tokens and cost per request, and the dashboard shows neuron usage. Direct calls have no per-request log that we found, and account audit logs were not read this run (9 of 15). security.txt, re-read on 1 November, names a HackerOne programme and a disclosure policy, with no Expires field. Cloudflare's ISO certifications page, read on 1 November, says Cloudflare is certified to ISO 27001 (since 2019, now to its 2022 edition), ISO 27018 and ISO 27701, with a scope of the Cloudflare global cloud platform, which doesn't name Workers AI. 2 held back for the missing Expires field, which RFC 9116 requires, the reading cloudflare-r2 gave the same evidence on 1 November (18 of 20, 15 before, when certifications went unread). 27 + 17 + 9 + 9 + 18 = 80.", "b": "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." }, "scores": { "a": 80, "b": 55 } }, { "by": 18, "category": "ergonomics", "leads": "gemini-4-carbon", "name": "Agent ergonomics", "reasons": { "a": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). OpenAI-style tool calling with `parallel_tool_calls` on models tagged for it, and embedded function calling in Workers. The changelog of 17 February 2026 fixed six faults, five of them in tool-call round trips (15 of 20). `json_object` and `json_schema` formats. The docs say schema adherence is not guaranteed and JSON Mode does not stream, and the page's list of six supported models names three that were retired in May (9 of 15). Prefix caching on by default for select models, `x-session-affinity`, cached counts in `usage` and published cached prices (12 of 15). 1,048,576 tokens on DeepSeek V4 and GLM-5.3 and 256,000 on Gemma 4, against 24,000 on Llama 3.3 70B fast (12 of 15). An asynchronous batch route on tagged models with a 10 MB payload limit and no stated discount (7 of 10). The OpenAI SDKs work with a changed base URL, with Responses limited to two models and no streaming. Cloudflare's own SDKs cover TypeScript, Python and Go (9 of 10). Errors carry an internal code and message, and a 429 tells a spent allocation from a capacity limit (11 of 15).", "b": "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." }, "scores": { "a": 75, "b": 93 } }, { "by": 11, "category": "maintenance", "leads": "gemini-4-carbon", "name": "Maintenance \u0026 community", "reasons": { "a": "Model reading. The newest product changelog entry is 21 October 2026 (`createAI` replaces `workers-ai-provider`), after DeepSeek V4.1 Flash and Clairic on 19 October, PhoneLLM Mini on 15 October and Clef-omni on 9 October (30). No minimum notice for model changes was found. The notice of 8 May 2026 retired 18 models 22 days later, and a notice of 18 September 2025 retired models 13 days later (5 of 12). Eighteen models went on 30 May 2026, one aliased to a pricier successor. No retirement was announced between 9 October and 1 November (3 of 8). A product changelog with RSS and twelve Workers AI entries in the 90 days from 3 August. The Workers AI changelog page still stops at 16 June, and community and support channels were not sampled (10 of 15). Replies on the SDK repositories were not examined (3 of 10). `cloudflare` for TypeScript 7.3.0 and Python 5.9.0 (tagged 2 October 2026) are still the newest tags on 1 November. `workers-ai-provider` 4.0.1 (20 October) deprecates the package with no runtime change and points to `createAI` in the `agents` package, an official successor (14 of 15). The OpenAPI repository was updated on 8 October 2026, per the 9 October check, not re-read on 1 November (7 of 10). 30 + 5 + 3 + 10 + 3 + 14 + 7 = 72.", "b": "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. Released to developers on 10 November 2026, with the platform's changelog (30). Deprecations with earliest dates and no stated minimum notice (4 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelog (15). SDK replies not sampled (5 of 10). Current SDKs (15). Runtimes stated (10). 30 + 4 + 4 + 15 + 5 + 15 + 10 = 83." }, "scores": { "a": 72, "b": 83 } }, { "by": 5, "category": "schema", "leads": "gemini-4-carbon", "name": "Schema \u0026 documentation", "reasons": { "a": "Model reading, scored on the API lines. Cloudflare's public OpenAPI 3.0.3 document, updated 8 October 2026, has 14 paths and 15 operations under `/ai/`. `/ai/run/{model_name}` takes 13 input shapes by task and lists only 200 and 400 responses, and the OpenAI-style `/ai/v1/` routes are not in it. Each model page links JSON Schemas for input and output, and `GET /ai/models/schema` returns them (22 of 25). `llms.txt` for Workers AI and a Markdown copy of every page (10). Model pages give a description, capability tags, context window and price, and the batch, caching and reject-busy pages say when to use each. Nothing says when not to pick a model (14 of 20). Parameters are typed with defaults, enums and nullability on the model pages (12 of 15). TypeScript, Python and curl examples on every model page and a table of 17 error codes with HTTP statuses. The quick start and the OpenAI page still use `@cf/meta/llama-3.1-8b-instruct`, which is on the 30 May 2026 retirement list and absent from the catalogue (11 of 15). A dated product changelog with RSS. Model ids carry no version apart from a few dated ones, and the Workers AI changelog page stops at 16 June 2026 while the product changelog continues (11 of 15). The OpenAPI document was not re-read on 1 November. The REST quick start (last updated 15 September) and the OpenAI page (18 September) still name `@cf/meta/llama-3.1-8b-instruct` on 1 November, and the error table still has 17 codes.", "b": "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." }, "scores": { "a": 80, "b": 85 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Cloudflare, Inc.", "b": "Google", "name": "Vendor" }, { "a": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai", "b": "https://generativelanguage.googleapis.com/v1beta", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "on some endpoints", "b": "no", "name": "x402" }, { "a": "Proprietary service under Cloudflare's Self-Serve Subscription Agreement. Each hosted model carries its own open-weight licence, linked from its model page. The `cloudflare` SDKs are Apache-2.0, `workers-ai-provider` is MIT and the OpenAPI repository is BSD-3-Clause", "b": "Closed model, used through the Gemini API and Google's apps under Google's terms", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-21", "b": "2026-11-10", "name": "Last release" }, { "a": "2025-09-12", "b": "2026-04-28", "name": "Terms last updated" }, { "a": "no date given", "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": "yes", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "380k npm/wk", "b": "none", "name": "Popularity" }, { "a": "3/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Cloudflare Workers AI scores 69.2 (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 schema \u0026 documentation, agent ergonomics and maintenance \u0026 community.", "question": "Which is better for AI agents, Cloudflare Workers AI or Gemini 4 Carbon?" }, { "answer": "Both need an API key.", "question": "Do Cloudflare Workers AI and Gemini 4 Carbon need an API key?" }, { "answer": "Yes. Cloudflare Workers AI has a hosted endpoint at https://api.cloudflare.com/client/v4/accounts/{account_id}/ai and Gemini 4 Carbon at https://generativelanguage.googleapis.com/v1beta.", "question": "Can an agent call Cloudflare Workers AI and Gemini 4 Carbon without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 68 against 40", "Security \u0026 auth, 80 against 55", "Payments \u0026 pricing, 52 against 20" ], "also": null, "goodFor": "Agents that already run on Cloudflare Workers, or that want open-weight chat, embedding, reranking, speech and image models behind one token with a free daily allowance.", "slug": "cloudflare-workers-ai", "watchFor": "No SLA for Workers AI was found in the docs or the agreements read" }, { "aheadOn": [ "Schema \u0026 documentation, 85 against 80", "Agent ergonomics, 93 against 75", "Maintenance \u0026 community, 83 against 72" ], "also": [ "No incidents deducted, where Cloudflare Workers AI 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" } ], "history": { "cloudflare-workers-ai": [ { "causes": [ "evidence", "time" ], "date": "2026-11-01", "delta": 0.9, "from": 68.3, "fromGrade": "B", "to": 69.2, "toGrade": "B" } ], "gemini-4-carbon": null }, "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-workers-ai.json", "title": "Amazon Bedrock vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-workers-ai" }, { "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/anthropic-api-vs-cloudflare-workers-ai.json", "title": "Claude API vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-carbon.json", "title": "Claude API vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai.json", "title": "Antseed vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-gemini-4-carbon.json", "title": "Antseed vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/antseed-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai.json", "title": "Azure OpenAI in Foundry Models vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/azure-openai-vs-gemini-4-carbon.json", "title": "Azure OpenAI in Foundry Models vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/azure-openai-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai.json", "title": "BlockRun.AI vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-carbon.json", "title": "BlockRun.AI vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai.json", "title": "Cerebras Inference vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-carbon.json", "title": "Cerebras Inference vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-cloudflare-workers-ai.json", "title": "Claude Fable 5.2 vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-gemini-4-carbon.json", "title": "Claude Fable 5.2 vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cloudflare-workers-ai.json", "title": "Claude Mythos 5.2 vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-4-carbon.json", "title": "Claude Mythos 5.2 vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cloudflare-workers-ai.json", "title": "Cloudflare AI Gateway vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-4-carbon.json", "title": "Cloudflare AI Gateway vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat.json", "title": "Cloudflare Workers AI vs Cohere Chat API (Command models)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra.json", "title": "Cloudflare Workers AI vs DeepInfra", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepseek-api.json", "title": "Cloudflare Workers AI vs DeepSeek API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepseek-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai.json", "title": "Cloudflare Workers AI vs Eden AI", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse.json", "title": "Cloudflare Workers AI vs Glimpse", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-fireworks-inference.json", "title": "Cloudflare Workers AI vs Fireworks AI Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-fireworks-inference" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-api.json", "title": "Cloudflare Workers AI vs Gemini Developer API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-groq.json", "title": "Cloudflare Workers AI vs GroqCloud", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-groq" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-hugging-face-inference-providers.json", "title": "Cloudflare Workers AI vs Hugging Face Inference Providers", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-hugging-face-inference-providers" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small.json", "title": "Cloudflare Workers AI vs Inkling 2 Small", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3.json", "title": "Cloudflare Workers AI vs Jais 3", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api.json", "title": "Cloudflare Workers AI vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-minimax-api.json", "title": "Cloudflare Workers AI vs MiniMax API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-minimax-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-mistral-api.json", "title": "Cloudflare Workers AI vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember.json", "title": "Cloudflare Workers AI vs Muse Ember", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-spark-open.json", "title": "Cloudflare Workers AI vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-nemotron-3-5-super-vl.json", "title": "Cloudflare Workers AI vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-novita-ai.json", "title": "Cloudflare Workers AI vs Novita AI", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openai-api.json", "title": "Cloudflare Workers AI vs OpenAI API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openrouter.json", "title": "Cloudflare Workers AI vs OpenRouter", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference.json", "title": "Cloudflare Workers AI vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-ramp-router.json", "title": "Cloudflare Workers AI vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-reflection-beam.json", "title": "Cloudflare Workers AI vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-routerplus.json", "title": "Cloudflare Workers AI vs RouterPlus", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-sambanova.json", "title": "Cloudflare Workers AI vs SambaCloud", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow.json", "title": "Cloudflare Workers AI vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-simplismart.json", "title": "Cloudflare Workers AI vs Simplismart", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api.json", "title": "Cloudflare Workers AI vs StepFun API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-swe-2-flash.json", "title": "Cloudflare Workers AI vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-tencent-tokenhub.json", "title": "Cloudflare Workers AI vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference.json", "title": "Cloudflare Workers AI vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vercel-ai-gateway.json", "title": "Cloudflare Workers AI vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.json", "title": "Cloudflare Workers AI vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-xai-api.json", "title": "Cloudflare Workers AI vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-xai-api" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-4-carbon.json", "title": "Cohere Chat API (Command models) vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-4-carbon.json", "title": "DeepInfra vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-4-carbon.json", "title": "DeepSeek API vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/eden-ai-vs-gemini-4-carbon.json", "title": "Eden AI vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/eden-ai-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-carbon.json", "title": "Glimpse vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-gemini-4-carbon.json", "title": "Fireworks AI Inference vs Gemini 4 Carbon", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-gemini-4-carbon" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-gemini-api.json", "title": "Gemini 4 Carbon vs Gemini Developer API", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-gemini-api" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-groq.json", "title": "Gemini 4 Carbon vs GroqCloud", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-groq" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-hugging-face-inference-providers.json", "title": "Gemini 4 Carbon vs Hugging Face Inference Providers", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-hugging-face-inference-providers" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-inkling-2-small.json", "title": "Gemini 4 Carbon vs Inkling 2 Small", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-inkling-2-small" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-jais-3.json", "title": "Gemini 4 Carbon vs Jais 3", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-meta-model-api.json", "title": "Gemini 4 Carbon vs Meta Model API", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-minimax-api.json", "title": "Gemini 4 Carbon vs MiniMax API", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-minimax-api" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-mistral-api.json", "title": "Gemini 4 Carbon vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-muse-ember.json", "title": "Gemini 4 Carbon vs Muse Ember", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-muse-spark-open.json", "title": "Gemini 4 Carbon vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-nemotron-3-5-super-vl.json", "title": "Gemini 4 Carbon vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-novita-ai.json", "title": "Gemini 4 Carbon vs Novita AI", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openai-api.json", "title": "Gemini 4 Carbon vs OpenAI API", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openrouter.json", "title": "Gemini 4 Carbon vs OpenRouter", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-prism-inference.json", "title": "Gemini 4 Carbon vs Prism Inference", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-ramp-router.json", "title": "Gemini 4 Carbon vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-reflection-beam.json", "title": "Gemini 4 Carbon vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-routerplus.json", "title": "Gemini 4 Carbon vs RouterPlus", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-sambanova.json", "title": "Gemini 4 Carbon vs SambaCloud", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-siliconflow.json", "title": "Gemini 4 Carbon vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-simplismart.json", "title": "Gemini 4 Carbon vs Simplismart", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-stepfun-api.json", "title": "Gemini 4 Carbon vs StepFun API", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-swe-2-flash.json", "title": "Gemini 4 Carbon vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-tencent-tokenhub.json", "title": "Gemini 4 Carbon vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-together-inference.json", "title": "Gemini 4 Carbon vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-vercel-ai-gateway.json", "title": "Gemini 4 Carbon vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-vertex-ai.json", "title": "Gemini 4 Carbon vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-xai-api.json", "title": "Gemini 4 Carbon vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/gemini-4-carbon-vs-xai-api" } ], "panel": null, "scores": [ { "by": 28, "cloudflare-workers-ai": 68, "edge": "cloudflare-workers-ai", "gemini-4-carbon": 40, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 5, "cloudflare-workers-ai": 80, "edge": "gemini-4-carbon", "gemini-4-carbon": 85, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 18, "cloudflare-workers-ai": 75, "edge": "gemini-4-carbon", "gemini-4-carbon": 93, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 25, "cloudflare-workers-ai": 80, "edge": "cloudflare-workers-ai", "gemini-4-carbon": 55, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 32, "cloudflare-workers-ai": 52, "edge": "cloudflare-workers-ai", "gemini-4-carbon": 20, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 11, "cloudflare-workers-ai": 72, "edge": "gemini-4-carbon", "gemini-4-carbon": 83, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 4, "cloudflare-workers-ai": 76, "edge": "cloudflare-workers-ai", "gemini-4-carbon": 72, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Cloudflare Workers AI scores 69.2 (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 schema \u0026 documentation, agent ergonomics and maintenance \u0026 community. Both do llm inference.", "tasks": null, "tutorials": [], "verdicts": { "cloudflare-workers-ai": "Per-model prices, rate limits and JSON Schemas are public, 10,000 neurons a day are free, and x402 payment is in beta on `/ai/run` for four models. No SLA was found, three models moved to paid-only access on 28 July 2026 with no notice, and the REST quick start still uses a model retired in May.", "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." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-carbon", "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-carbon.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-carbon.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-carbon.min.md" }, "markdown": "Cloudflare Workers AI scores 69.2 (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 schema \u0026 documentation, agent ergonomics and maintenance \u0026 community. Both do llm inference.\n\n- Cloudflare Workers AI: grade B, 69.2/100, rank #258 of 1518. Markdown https://www.anchorterminal.com/tools/cloudflare-workers-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json\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- 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### Cloudflare Workers AI (B)\n\nGood for: Agents that already run on Cloudflare Workers, or that want open-weight chat, embedding, reranking, speech and image models behind one token with a free daily allowance.\n\nAhead on:\n- Reliability, 68 against 40\n- Security \u0026 auth, 80 against 55\n- Payments \u0026 pricing, 52 against 20\n\nWatch for: No SLA for Workers AI was found in the docs or the agreements read\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- Schema \u0026 documentation, 85 against 80\n- Agent ergonomics, 93 against 75\n- Maintenance \u0026 community, 83 against 72\n\nAlso in its favour:\n- No incidents deducted, where Cloudflare Workers AI loses 3 points for them\n\nWatch for: Paid tier only, with no free tier to try it on\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Cloudflare Workers AI +32\n\n- Cloudflare Workers AI (52): x402 is in beta on `POST /ai/run` since 30 September 2026 for four of 69 models. It still needs a Cloudflare API token, a United States account and a card on file, and the per-model and OpenAI-style routes are not covered. We did not call it (12 of 40). Per-model token, image and audio prices and the neuron rate are published without a login (20). 10,000 neurons a day are free on the Workers Free plan, and the pricing page asks for a paid plan only past that. We did not sign up to confirm that no card is asked for (20). A person creates the account and the first token in a browser, and the x402 route needs both (0). The Machine Payments page (last updated 30 September) and the pricing page (20 October) were re-read on 1 November and say the same. 12 + 20 + 20 + 0 = 52.\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\n### Reliability: Cloudflare Workers AI +28\n\n- Cloudflare Workers AI (68): Hosted reading. www.cloudflarestatus.com is a Statuspage with Workers AI, AI Gateway and API as separate components (20). The incidents feed read on 9 October held 50 incidents from 21 September to 8 October 2026, none naming Workers AI or AI Gateway. The feed read on 1 November holds 50 incidents from 16 to 31 October. Workers AI is listed only in \"Issues with AI Security for Apps\" on 27 October, intermittent failures in unsafe topic detection with impact none, resolved after 38 minutes. The 23 October network incident, labelled major, describes some traffic between Ashburn and Atlanta and some customers in North America, so it reads as partial, as this run's other Cloudflare re-checks read regional incidents. The history page loads by script, so 3 August to 20 September and 9 to 15 October went unread. The 28 July changelog that cited 429 and 3040 capacity errors has left the 90 days, so the line is 12 of 30 (10 before), as cloudflare-r2 and cloudflare-mcp read the same page with an unread stretch on 1 November. Limits are published per task type, 300 requests a minute for text generation and 20 or 50 a minute per paid model, unchanged since 17 September (15). A 429 carries code 3036 for a spent free allocation or 3040 for capacity, `rejectIfBusy` fails fast, the batch route queues work, and the Cloudflare API returns `retry-after` and `Ratelimit` headers for its own limit. No `Retry-After` or backoff figures were found for a 3040 (11 of 15). No SLA for Workers AI was found. The legal index names only an enterprise support and SLA page, which we did not read (0). The limits page says Workers AI is generally available, with lower limits possible on beta models (10). 20 + 12 + 15 + 11 + 0 + 10 = 68.\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\n### Security \u0026 auth: Cloudflare Workers AI +25\n\n- Cloudflare Workers AI (80): Model reading. Cloudflare API tokens are revocable, limited to Workers AI Read or Edit on chosen accounts, and take an expiry and an IP address filter. Permission is per account, not per model, and the API reference also accepts the older global API key (27 of 30). The data usage page and the service-specific terms of 28 September 2026 say Customer Content is not used to train models without consent. The data page adds that it is not used to improve services, while clause 9 of the same terms section allows use as needed to provide and improve the Services (17 of 20). The data page says content may be stored if a storage service is used with Workers AI. It gives no retention period for inference inputs and no explicit zero-retention statement, and AI Gateway logs prompts and responses by default when a call is routed through a gateway (9 of 15). Gateway logs record prompt, response, tokens and cost per request, and the dashboard shows neuron usage. Direct calls have no per-request log that we found, and account audit logs were not read this run (9 of 15). security.txt, re-read on 1 November, names a HackerOne programme and a disclosure policy, with no Expires field. Cloudflare's ISO certifications page, read on 1 November, says Cloudflare is certified to ISO 27001 (since 2019, now to its 2022 edition), ISO 27018 and ISO 27701, with a scope of the Cloudflare global cloud platform, which doesn't name Workers AI. 2 held back for the missing Expires field, which RFC 9116 requires, the reading cloudflare-r2 gave the same evidence on 1 November (18 of 20, 15 before, when certifications went unread). 27 + 17 + 9 + 9 + 18 = 80.\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\n### Agent ergonomics: Gemini 4 Carbon +18\n\n- Cloudflare Workers AI (75): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). OpenAI-style tool calling with `parallel_tool_calls` on models tagged for it, and embedded function calling in Workers. The changelog of 17 February 2026 fixed six faults, five of them in tool-call round trips (15 of 20). `json_object` and `json_schema` formats. The docs say schema adherence is not guaranteed and JSON Mode does not stream, and the page's list of six supported models names three that were retired in May (9 of 15). Prefix caching on by default for select models, `x-session-affinity`, cached counts in `usage` and published cached prices (12 of 15). 1,048,576 tokens on DeepSeek V4 and GLM-5.3 and 256,000 on Gemma 4, against 24,000 on Llama 3.3 70B fast (12 of 15). An asynchronous batch route on tagged models with a 10 MB payload limit and no stated discount (7 of 10). The OpenAI SDKs work with a changed base URL, with Responses limited to two models and no streaming. Cloudflare's own SDKs cover TypeScript, Python and Go (9 of 10). Errors carry an internal code and message, and a 429 tells a spent allocation from a capacity limit (11 of 15).\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\n### Maintenance \u0026 community: Gemini 4 Carbon +11\n\n- Cloudflare Workers AI (72): Model reading. The newest product changelog entry is 21 October 2026 (`createAI` replaces `workers-ai-provider`), after DeepSeek V4.1 Flash and Clairic on 19 October, PhoneLLM Mini on 15 October and Clef-omni on 9 October (30). No minimum notice for model changes was found. The notice of 8 May 2026 retired 18 models 22 days later, and a notice of 18 September 2025 retired models 13 days later (5 of 12). Eighteen models went on 30 May 2026, one aliased to a pricier successor. No retirement was announced between 9 October and 1 November (3 of 8). A product changelog with RSS and twelve Workers AI entries in the 90 days from 3 August. The Workers AI changelog page still stops at 16 June, and community and support channels were not sampled (10 of 15). Replies on the SDK repositories were not examined (3 of 10). `cloudflare` for TypeScript 7.3.0 and Python 5.9.0 (tagged 2 October 2026) are still the newest tags on 1 November. `workers-ai-provider` 4.0.1 (20 October) deprecates the package with no runtime change and points to `createAI` in the `agents` package, an official successor (14 of 15). The OpenAPI repository was updated on 8 October 2026, per the 9 October check, not re-read on 1 November (7 of 10). 30 + 5 + 3 + 10 + 3 + 14 + 7 = 72.\n- Gemini 4 Carbon (83): 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. Released to developers on 10 November 2026, with the platform's changelog (30). Deprecations with earliest dates and no stated minimum notice (4 of 12). Shutdowns in the last 90 days kept to their table (4 of 8). Dated changelog (15). SDK replies not sampled (5 of 10). Current SDKs (15). Runtimes stated (10). 30 + 4 + 4 + 15 + 5 + 15 + 10 = 83.\n\n### Schema \u0026 documentation: Gemini 4 Carbon +5\n\n- Cloudflare Workers AI (80): Model reading, scored on the API lines. Cloudflare's public OpenAPI 3.0.3 document, updated 8 October 2026, has 14 paths and 15 operations under `/ai/`. `/ai/run/{model_name}` takes 13 input shapes by task and lists only 200 and 400 responses, and the OpenAI-style `/ai/v1/` routes are not in it. Each model page links JSON Schemas for input and output, and `GET /ai/models/schema` returns them (22 of 25). `llms.txt` for Workers AI and a Markdown copy of every page (10). Model pages give a description, capability tags, context window and price, and the batch, caching and reject-busy pages say when to use each. Nothing says when not to pick a model (14 of 20). Parameters are typed with defaults, enums and nullability on the model pages (12 of 15). TypeScript, Python and curl examples on every model page and a table of 17 error codes with HTTP statuses. The quick start and the OpenAI page still use `@cf/meta/llama-3.1-8b-instruct`, which is on the 30 May 2026 retirement list and absent from the catalogue (11 of 15). A dated product changelog with RSS. Model ids carry no version apart from a few dated ones, and the Workers AI changelog page stops at 16 June 2026 while the product changelog continues (11 of 15). The OpenAPI document was not re-read on 1 November. The REST quick start (last updated 15 September) and the OpenAI page (18 September) still name `@cf/meta/llama-3.1-8b-instruct` on 1 November, and the error table still has 17 codes.\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\n## Score by category\n\n| Category | Weight | Cloudflare Workers AI | Gemini 4 Carbon | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 68 | 40 | Cloudflare Workers AI +28 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 85 | Gemini 4 Carbon +5 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 93 | Gemini 4 Carbon +18 |\n| Security \u0026 auth | 14% (17.5 this run) | 80 | 55 | Cloudflare Workers AI +25 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 52 | 20 | Cloudflare Workers AI +32 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 72 | 83 | Gemini 4 Carbon +11 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 76 | 72 | Cloudflare Workers AI +4 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **69.2 · B** | **62.6 · B** | |\n\n## Facts side by side\n\n| Fact | Cloudflare Workers AI | Gemini 4 Carbon |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Cloudflare, Inc. | Google |\n| Hosted endpoint | `https://api.cloudflare.com/client/v4/accounts/{account_id}/ai` | `https://generativelanguage.googleapis.com/v1beta` |\n| Transports | HTTP | |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | on some endpoints | no |\n| Licence | Proprietary service under Cloudflare's Self-Serve Subscription Agreement. Each hosted model carries its own open-weight licence, linked from its model page. The `cloudflare` SDKs are Apache-2.0, `workers-ai-provider` is MIT and the OpenAPI repository is BSD-3-Clause | Closed model, used through the Gemini API and Google's apps under Google's terms |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-21 | 2026-11-10 |\n| Terms last updated | 2025-09-12 | 2026-04-28 |\n| Privacy policy last updated | no date given | 2026-10-01 |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 380k npm/wk | none |\n| Agent reviews | 3/5 (4) | none |\n\n## How the scores have moved\n\n### Cloudflare Workers AI\n\n- +0.9 on 1 November 2026: new evidence, time\n\n### Gemini 4 Carbon\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Cloudflare Workers AI.** Per-model prices, rate limits and JSON Schemas are public, 10,000 neurons a day are free, and x402 payment is in beta on `/ai/run` for four models. No SLA was found, three models moved to paid-only access on 28 July 2026 with no notice, and the REST quick start still uses a model retired in May.\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## Before you call either\n\n### Cloudflare Workers AI\n\n1. Check the model page before calling. Eight models need Workers Paid or AI Gateway credits and return 403 with code 5035 on the Free plan\n2. Read the internal code on a 429. 3036 means the day's 10,000 free neurons are spent until 00:00 UTC, 3040 means capacity, so retry later\n3. Set `options.rejectIfBusy` to fail fast, or add `?queueRequest=true` for the batch route when the answer can wait\n4. Send the same `x-session-affinity` value on every turn of a session to reach the prefix cache and the cached-input price\n5. Use `createAI` from `agents/models/ai-sdk` for the Vercel AI SDK. `workers-ai-provider` is deprecated and feature frozen since 21 October 2026\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## Questions\n\n### Which is better for AI agents, Cloudflare Workers AI or Gemini 4 Carbon?\n\nCloudflare Workers AI scores 69.2 (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 schema \u0026 documentation, agent ergonomics and maintenance \u0026 community.\n\n### Do Cloudflare Workers AI and Gemini 4 Carbon need an API key?\n\nBoth need an API key.\n\n### Can an agent call Cloudflare Workers AI and Gemini 4 Carbon without installing anything?\n\nYes. Cloudflare Workers AI has a hosted endpoint at https://api.cloudflare.com/client/v4/accounts/{account_id}/ai and Gemini 4 Carbon at https://generativelanguage.googleapis.com/v1beta.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-carbon.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-4-carbon.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cloudflare-workers-ai\", \"b\": \"gemini-4-carbon\"}`. From a terminal: `anchor compare cloudflare-workers-ai gemini-4-carbon`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json and https://www.anchorterminal.com/api/v1/tools/gemini-4-carbon.json\n\n## Other comparisons with Cloudflare Workers AI or Gemini 4 Carbon\n\n- [Amazon Bedrock vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-workers-ai.md)\n- [Amazon Bedrock vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/amazon-bedrock-vs-gemini-4-carbon.md)\n- [Claude API vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai.md)\n- [Claude API vs Gemini 4 Carbon](https://www.anchorterminal.com/compare/anthropic-api-vs-gemini-4-carbon.md)\n- [Antseed vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai.md)\n- [Antseed vs Gemini 4 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[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 OpenRouter](https://www.anchorterminal.com/compare/gemini-4-carbon-vs-openrouter.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", "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": 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