{ "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": 256, "ranked": true, "rankOf": 1510, "categoryRank": 10, "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": "2026-11-07T19:22:00.132581356Z", "lastOk": true, "lastStatus": 404, "lastMs": 74, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 19, "p95ms24h": 58, "samples24h": 238, "samples30d": 7215, "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": 197, "ok": 197 } ] }, "vendorStatus": { "page": "https://www.cloudflarestatus.com", "indicator": "major", "summary": "Partial System Outage", "checkedAt": "2026-11-07T19:21:24.458795417Z" }, "versions": [ { "registry": "npm", "name": "cloudflare", "version": "7.3.0", "seenAt": "2026-11-06T23:15:59.829623123Z" }, { "registry": "npm", "name": "workers-ai-provider", "version": "4.0.1", "seenAt": "2026-11-06T23:15:59.61383182Z" }, { "registry": "pypi", "name": "cloudflare", "version": "5.10.0", "released": "2026-11-05", "seenAt": "2026-11-06T23:16:01.629694758Z" } ], "githubStars": 202, "npmWeekly": 653727, "pypiWeekly": 584250, "securityTxt": { "url": "https://cloudflare.com/.well-known/security.txt", "state": "valid", "checkedAt": "2026-11-07T16:00:23.467095484Z" }, "llmsTxt": { "url": "https://developers.cloudflare.com/workers-ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:11.031125667Z" }, "domain": { "domain": "cloudflare.com", "registered": "2009-02-17", "source": "https://rdap.verisign.com/com/v1/domain/cloudflare.com", "checkedAt": "2026-11-01T14:18:56.122446983Z" }, "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": "2026-11-07T14:03:54.861936558Z", "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": "2026-11-07T14:03:56.74227481Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "23663c817503" } ], "github": { "repo": "cloudflare/api-schemas", "checkedAt": "2026-11-02T08:39:44.484301185Z", "stars": 202, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-30T20:37:16Z", "openIssues": 13, "openPRs": 1, "issuesOpened90d": 10, "issuesClosed90d": 1, "prsMerged90d": 0, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-10-30T20:40:13Z" }, "replies": { "sampled": 14, "unanswered": 13, "medianDays": 0 } }, "updatedAt": "2026-11-07T19:22:00.132581356Z" } }, "answer": "Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against Cloudflare Workers AI's 69.2 (B), and leads in 6 of 7 scored categories. Cloudflare Workers AI leads on payments \u0026 pricing.", "b": { "slug": "vertex-ai", "name": "Vertex AI (Gemini Enterprise Agent Platform)", "vendor": "Google Cloud", "vendorUrl": "https://cloud.google.com/products/gemini-enterprise-agent-platform", "kind": "model", "category": "inference", "summary": "Google Cloud's enterprise API for Gemini models and Model Garden partner and open models, including Claude, Llama and Qwen, on the platform formerly called Vertex AI, with regional endpoints, provisioned throughput and IAM access.", "url": "https://www.anchorterminal.com/tools/vertex-ai", "markdownUrl": "https://www.anchorterminal.com/tools/vertex-ai.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/vertex-ai.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/vertex-ai.json", "dns": "vertex-ai.grade.anchorterminal.com", "repo": "https://github.com/googleapis/python-genai", "license": "Proprietary service under the Google Cloud Platform terms. Partner models carry their providers' terms. The Google Gen AI SDKs are Apache-2.0", "transports": [ "http" ], "remoteUrl": "https://aiplatform.googleapis.com/v1", "packages": [ { "registry": "pypi", "name": "google-genai" }, { "registry": "npm", "name": "@google/genai" }, { "registry": "pypi", "name": "google-cloud-aiplatform" } ], "auth": "mixed", "authNotes": "OAuth 2.0 bearer tokens from application default credentials or service accounts, with IAM roles on a Google Cloud project, which the docs recommend for production. Google Cloud API keys, including express mode keys (Preview) that need no project or location in the URL, are recommended for testing. The OpenAI-compatible endpoint accepts only Google Cloud auth.", "pricing": "usage", "pricingNotes": "Per-token prices per model, with global and higher non-global rates and Standard, Priority and Flex/Batch options. Gemini 4 Argon costs $4/$20 per million, with 50% credits back through 2026-11-30. Gemini 3.8 Flash costs $0.75/$3.75 through 2026-12-31, then $1.50/$7.50. Claude Opus 5.5 $4/$20. Batch and Flex half price on Gemini. Only requests that return 200 are charged. Express mode gives new users 90 days free with no billing details (https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing).", "priceSummary": "from $0.30 / 1M in", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the pricing page or in the express mode docs (checked 2026-11-06). Access needs a Google account and, after the express trial, a Cloud billing account.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": 20917051, "asOf": "2026-11-06" }, "docsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/start", "rateLimitsUrl": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/standard-paygo", "openapi": "https://aiplatform.googleapis.com/$discovery/rest?version=v1", "capabilities": [ "inference.llm", "inference.open-weights" ], "tags": [ "official", "hosted", "model", "open-weights", "enterprise", "usage-priced", "free-tier", "no-card", "python", "typescript", "status-page" ], "lastRelease": "2026-11-05", "graded": true, "anchor": { "graded": true, "score": 88.7, "grade": "AA", "agentReady": true, "rank": 2, "ranked": true, "rankOf": 1510, "categoryRank": 1, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 97, "maintenance": 91, "payments": 40, "reliability": 99, "schema": 94, "security": 97, "transparency": 90 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "Gemini, Claude and open models through one Google Cloud API with IAM, regional endpoints, schema-guaranteed JSON and a 99.5 per cent SLA, and no Vertex incident on the Cloud status page in the 90 days to 6 November 2026. Gemini 4 Argon and 3.8 Flash have 12-month availability, but short-term Flash models get a 95 per cent SLA.", "bestFor": "Google Cloud customers who need Gemini with residency, VPC-SC, provisioned throughput and an SLA, or Claude under a Google bill.", "strengths": [ "No incident naming Vertex or Gemini on status.cloud.google.com between 8 July and 6 October 2026", "Public discovery document for the v1 API (revision 20260930) with 1,128 methods and 1,493 schemas", "JSON output follows a supplied `response_schema` when `response_mime_type` is `application/json`", "Express mode gives new users 90 days free with an API key and no billing details", "Only requests that return 200 are charged", "Gemini 4 Argon, GA since 13 October 2026, has a 1,048,576-token unified limit at $4/$20 per million tokens" ], "weaknesses": [ "The SLA drops from 99.5 to 95 per cent for short-term availability models, Gemini 3.7 and 3.6 Flash among them", "Gemini 3.6 Flash, released 21 July 2026, retires on 19 November 2026, and 3.7 Flash on 28 January 2027", "Zero retention needs an exception request, and flagged prompts may be kept up to 90 days", "The Interactions API stores prompts and responses unless `store` is set to false", "No llms.txt on the docs site, and the docs mix the Vertex AI and Agent Platform names", "The model versions table still listed Gemini 2.5 Pro, Flash and Flash-Lite as available after their 20 October 2026 retirement date" ], "agentNotes": [ "Call the `global` location on aiplatform.googleapis.com unless data residency requires a Region. The 429 guide says it spreads load and reduces errors", "Back off exponentially on 429 `Resource exhausted`. On Standard PayGo it means shared capacity is busy, not a fixed quota", "Send `response_schema` with `response_mime_type: application/json`. JSON mode alone doesn't guarantee valid output", "Set `store` to false on Interactions API calls. It defaults to true and keeps prompts and responses", "Pin `gemini-4-argon` or `gemini-3.8-flash`, both in the 12-month tier, rather than 3.7 or 3.6 Flash, which retire on 28 January 2027 and 19 November 2026" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "AA", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 88.7 } ], "editorialScores": { "ergonomics": 97, "maintenance": 91, "payments": 40, "reliability": 99, "schema": 94, "security": 97, "transparency": 83 }, "provenanceScore": 97, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install google-genai # or: npm i @google/genai", "http": "curl -X POST \\\n -H \"Content-Type: application/json\" \\\n -H \"Authorization: Bearer $(gcloud auth print-access-token)\" \\\n \"https://aiplatform.googleapis.com/v1/projects/${GOOGLE_CLOUD_PROJECT}/locations/global/publishers/google/models/gemini-3.8-flash:generateContent\" \\\n -d '{\"contents\":{\"role\":\"user\",\"parts\":{\"text\":\"Explain how AI works in a few words\"}}}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/vertex-ai" }, "sameCompany": [ "gemini-api", "gemini-embedding", "vertex-ai-tuning", "cloud-run-gpus", "google-model-armor", "google-imagen", "google-veo", "google-lyria", "google-speech-to-text", "google-cloud-tts", "gemini-live", "google-adk", "google-memory-bank", "google-secret-manager", "google-cloud-document-ai", "google-weather-api", "chrome-devtools-mcp", "google-maps-platform", "google-cloud-translation", "google-calendar-api", "firebase-cloud-messaging", "google-cloud-storage", "google-drive-api", "gemini-enterprise", "gemini-cli", "google-search-console", "google-ads-api", "google-forms", "google-sheets-api", "gmail-api", "google-people-api" ], "area": "models", "unitPrices": [ { "item": "Grounding with Google Search over 5,000 a month (Gemini 3)", "unit": "1k-requests", "usd": 14 } ], "provenance": { "legalEntity": "Google LLC", "domain": "google.com", "domainRegistered": "1997-09-15", "domainNote": "The endpoint is on googleapis.com, Google's API domain. google.com was registered in 1997.", "endpointOnVendorDomain": true, "terms": "https://cloud.google.com/terms", "privacy": "https://policies.google.com/privacy", "statusPage": "https://status.cloud.google.com", "changelog": "https://docs.cloud.google.com/gemini-enterprise-agent-platform/release-notes", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "The product runs under the Google Cloud Platform terms, whose contracting Google entity depends on the billing country, as for vertex-ai-tuning.", "www.google.com/.well-known/security.txt expires on 2030-04-01 (read 2026-11-06).", "docs.cloud.google.com has no llms.txt (404 on 6 October 2026), but each docs page answers as Markdown when `.md.txt` is added to its URL." ], "score": 97 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/vertex-ai.json", "live": { "slug": "vertex-ai", "probe": { "target": "https://aiplatform.googleapis.com/v1", "method": "get", "lastAt": "2026-11-07T19:22:43.041024218Z", "lastOk": true, "lastStatus": 404, "lastMs": 664, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 118, "p95ms24h": 752, "samples24h": 210, "samples30d": 210, "days": [ { "date": "2026-11-06", "probes": 13, "ok": 13 }, { "date": "2026-11-07", "probes": 197, "ok": 197 } ] }, "versions": [ { "registry": "github", "name": "googleapis/python-genai", "version": "v3.0.0", "released": "2026-11-06", "seenAt": "2026-11-07T00:15:33.519504561Z" }, { "registry": "npm", "name": "@google/genai", "version": "3.0.0", "seenAt": "2026-11-07T00:15:31.639429892Z" }, { "registry": "pypi", "name": "google-cloud-aiplatform", "version": "2.7.0", "released": "2026-10-28", "seenAt": "2026-11-07T00:15:32.521225598Z" }, { "registry": "pypi", "name": "google-genai", "version": "3.0.0", "released": "2026-11-06", "seenAt": "2026-11-07T00:15:31.485691571Z" } ], "githubStars": 4057, "npmWeekly": 31989360, "pypiWeekly": 38431674, "securityTxt": { "url": "https://google.com/.well-known/security.txt", "state": "valid", "expires": "2030-04-01T00:00:00z", "checkedAt": "2026-11-07T16:01:22.068349931Z" }, "pages": [ { "url": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:01:16.257808105Z", "changedAt": "2026-11-07T14:01:16.257808105Z", "fingerprint": "a4fe253bd23f" } ], "updatedAt": "2026-11-07T19:22:43.041024218Z" } }, "edges": [ { "by": 31, "category": "reliability", "leads": "vertex-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": "Google Cloud status dashboard with per-product history (20). Its incident feed, read on 6 November, has no incident naming Vertex Gemini API, Gemini or the Agent Platform in the 90 days. The regional incidents of 20 August, 1 September and 20 October (europe-west2) and the Cloud Storage incident of 8 and 9 October didn't list it among affected products (30). Standard PayGo publishes usage tiers by 30-day spend with baseline throughput, 2,000,000 to 50,000,000 tokens a minute for Flash models and 500,000 to 10,000,000 for Pro, plus quota tables for other methods (15). A 429 page says to use the global endpoint and truncated exponential backoff, and a retry-strategy page (15). SLA of 99.5 per cent a month on generateContent and streamGenerateContent, 95 per cent for short-term availability models, and a latency SLO on Provisioned Throughput. The 429 page says pay-as-you-go 429s don't count toward the SLA error rate (10). Gemini 4 Argon reached GA on 13 October and Gemini 3.8 Flash moved to the 12-month tier, and the v1 API, 3.5 Flash-Lite and Claude Opus 5.5 are GA, but express mode was Preview at the 6 October check (9 of 10, up from 8). Up from 98 on 6 October." }, "scores": { "a": 68, "b": 99 } }, { "by": 22, "category": "ergonomics", "leads": "vertex-ai", "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 of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with `FunctionCallingConfig` mode ANY and `allowedFunctionNames` to force a named tool (20). Schema-guaranteed JSON output (15). Implicit and explicit context caching, cached input at 0.1x, $0.075 per million on 3.8 Flash through 31 December (15). 1,048,576-token context on 3.8 Flash, a unified 1,048,576-token input and output limit on Gemini 4 Argon, and 1,000,000 on Claude Opus 5.5 (15). Flex/Batch at half price on Gemini (10). Gen AI SDKs for Python and JavaScript among others, and the OpenAI libraries work with Google Cloud auth (10). 429 handling documented per quota framework, with standard Google status codes elsewhere (12 of 15)." }, "scores": { "a": 75, "b": 97 } }, { "by": 19, "category": "maintenance", "leads": "vertex-ai", "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. Gemini Omni 1.2 Flash GA on 5 November, Grok 4.7 GA on 27 October, Gemini 4 Argon GA on 13 October and Claude Haiku 5.5 on 7 October 2026 (30). Stable models stay at least 12 months, and since 6 October Gemini 4 Argon and Gemini 3.8 Flash are in that tier, while 3.7 and 3.6 Flash remain short-term with at least 45 days' notice once a date is set (10 of 12, up from 8). Gemini 2.5 Pro, Flash and Flash-Lite were due to retire on 20 October, three models on one date after more than 12 months, with replacements named. We didn't check partner model retirements (6 of 8, down from 8). Dated release notes on most working days, newest 5 November, and Cloud Customer Care (15). python-genai replies not sampled this run (5 of 10). Current SDKs, google-genai 3.0.0 on 6 November and `@google/genai` 3.0.0, and google-cloud-aiplatform 2.7.0 on 28 October 2026 (15). Supported runtimes stated, Python 3.10 or later and Node 20 or later, per the 6 October check (10). Unchanged at 91." }, "scores": { "a": 72, "b": 91 } }, { "by": 17, "category": "security", "leads": "vertex-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. OAuth 2.0 with IAM roles and service accounts, which the docs recommend for production, with API keys for testing. No key in a query string found in the docs we read (30). The training restriction in the Service Specific Terms says Google won't use customer data to train or fine-tune any model without permission, GA and pre-GA alike (20). Default in-memory caching for 24 hours that can be disabled, flagged prompts logged up to 90 days unless an abuse-monitoring exception is granted or the customer has a Cloud Master Agreement, the Interactions API storing by default, and Claude Fable 5 and Mythos 5 requiring 30-day retention shared with Anthropic (12 of 15, a judgement call matching the Fable exception on the Anthropic and Bedrock listings). Cloud Audit Logs, with Data Access logs off until enabled, and optional request-response logging to BigQuery (15). google.com security.txt valid to 2030-04-01, the Google VRP, and Generative AI on the platform in ISO 27001, 27017 and 27018 and SOC 1, 2 and 3 scope per the 1 October services-in-scope check for vertex-ai-tuning, not re-read on 6 October (20)." }, "scores": { "a": 80, "b": 97 } }, { "by": 14, "category": "schema", "leads": "vertex-ai", "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. Keyless discovery document for the Agent Platform API v1, revision 20260930, with 1,128 methods and 1,493 schemas (25). No llms.txt, but every docs page answers as Markdown at `.md.txt`, counted as for vertex-ai-tuning (10). Model cards give limits, capabilities and retirement dates, and the 3.8 Flash card says when to use 3.7 Flash instead, but the docs mix the Vertex AI and Agent Platform names, and the OpenAI page tells new users to call the Gemini Developer API instead (16 of 20). Structured output with `response_schema` and `response_mime_type: application/json` always follows the schema per the docs, and complex schemas fail with a 400 (15). Examples on every page and a 429 guide, but we found no full error code list for generateContent (13 of 15). Versioned v1 and v1beta1 APIs and release notes with entries on most working days, newest 5 November 2026 (15)." }, "scores": { "a": 80, "b": 94 } }, { "by": 14, "category": "transparency", "leads": "vertex-ai", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed service under the Self-Serve Subscription Agreement and service-specific terms with a Workers AI section. The hosted models are open-weight with licence links on their pages, and the SDKs are Apache-2.0 and MIT (18 of 30). The data usage page, the service-specific terms and the privacy policy of 4 November 2025 agree on ownership and no training. The privacy policy gives retention criteria, not periods, the two documents differ on use to improve services, and the DPA the terms link was not read (20 of 30). No deprecation policy was found. The changelog posts dated notices, among them the 21 October deprecation of `workers-ai-provider` with no end date, and section 8 of the agreement lets Cloudflare modify or discontinue a service without notice (8 of 20). A sub-processor page exists and links a list for Cloudflare services, which we did not read. Model pages are tagged Cloudflare-hosted, and where a request runs is not stated beyond Cloudflare's network (10 of 20). 18 + 20 + 8 + 10 = 56.", "b": "Closed service under the Google Cloud terms, with the Gen AI SDKs under Apache-2.0 and a public discovery document (18, as for Bedrock's open service models). The zero data retention and abuse monitoring pages agree with the Cloud terms and give periods for each case, 24 hours in memory, up to 90 days for flagged prompts, 30 days for Advanced AI models, 3 days for Search grounding logs and 30 days for Maps grounding, and say which can't be switched off (27 of 30). A dated model versions table with release and retirement dates and a stated 12-month or 45-day policy, but on 6 November it still listed Gemini 2.5 Pro, Flash and Flash-Lite as available with a 20 October 2026 retirement date and left them out of the retired table (18 of 20, down from 20). The Cloud subprocessor list with locations, per the 1 October vertex-ai-tuning check, regional and multi-region endpoints, and per-model ML processing locations on the partner model cards (20)." }, "scores": { "a": 76, "b": 90 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Cloudflare, Inc.", "b": "Google Cloud", "name": "Vendor" }, { "a": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai", "b": "https://aiplatform.googleapis.com/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "payer tooling only", "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": "Proprietary service under the Google Cloud Platform terms. Partner models carry their providers' terms. The Google Gen AI SDKs are Apache-2.0", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "no", "name": "llms.txt" }, { "a": "2026-10-21", "b": "2026-11-05", "name": "Last release" }, { "a": "2025-09-12", "b": "2026-09-02", "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": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "380k npm/wk", "b": "20.9M PyPI/wk", "name": "Popularity" }, { "a": "3/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against Cloudflare Workers AI's 69.2 (B), and leads in 6 of 7 scored categories. Cloudflare Workers AI leads on payments \u0026 pricing.", "question": "Which is better for AI agents, Cloudflare Workers AI or Vertex AI (Gemini Enterprise Agent Platform)?" }, { "answer": "Cloudflare Workers AI needs an API key. Vertex AI (Gemini Enterprise Agent Platform) takes an API key or an OAuth sign-in.", "question": "Do Cloudflare Workers AI and Vertex AI (Gemini Enterprise Agent Platform) 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 Vertex AI (Gemini Enterprise Agent Platform) at https://aiplatform.googleapis.com/v1.", "question": "Can an agent call Cloudflare Workers AI and Vertex AI (Gemini Enterprise Agent Platform) without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 52 against 40" ], "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": [ "Reliability, 99 against 68", "Schema \u0026 documentation, 94 against 80", "Agent ergonomics, 97 against 75", "Security \u0026 auth, 97 against 80", "Maintenance \u0026 community, 91 against 72", "Transparency \u0026 trust, 90 against 76" ], "also": [ "Agent-ready, a grade of BB or better", "Free to start without a card", "No incidents deducted, where Cloudflare Workers AI loses 3 points for them" ], "goodFor": "Google Cloud customers who need Gemini with residency, VPC-SC, provisioned throughput and an SLA, or Claude under a Google bill.", "slug": "vertex-ai", "watchFor": "The SLA drops from 99.5 to 95 per cent for short-term availability models, Gemini 3.7 and 3.6 Flash among them" } ], "history": { "cloudflare-workers-ai": [ { "causes": [ "evidence", "time" ], "date": "2026-11-01", "delta": 0.9, "from": 68.3, "fromGrade": "B", "to": 69.2, "toGrade": "B" } ], "vertex-ai": 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-vertex-ai.json", "title": "Amazon Bedrock vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-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-vertex-ai.json", "title": "Claude API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-vertex-ai" }, { "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-vertex-ai.json", "title": "Antseed vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/antseed-vs-vertex-ai" }, { "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-vertex-ai.json", "title": "Azure OpenAI in Foundry Models vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/azure-openai-vs-vertex-ai" }, { "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-vertex-ai.json", "title": "BlockRun.AI vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-vertex-ai" }, { "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-vertex-ai.json", "title": "Cerebras Inference vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-vertex-ai" }, { "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-vertex-ai.json", "title": "Cloudflare AI Gateway vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vertex-ai" }, { "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-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-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-vertex-ai.json", "title": "Cohere Chat API (Command models) vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/deepinfra-vs-vertex-ai.json", "title": "DeepInfra vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-vertex-ai.json", "title": "DeepSeek API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/eden-ai-vs-vertex-ai.json", "title": "Eden AI vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/eden-ai-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-vertex-ai.json", "title": "Glimpse vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-vertex-ai.json", "title": "Fireworks AI Inference vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/gemini-api-vs-vertex-ai.json", "title": "Gemini Developer API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/gemini-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/groq-vs-vertex-ai.json", "title": "GroqCloud vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/groq-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-vertex-ai.json", "title": "Hugging Face Inference Providers vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-vertex-ai.json", "title": "Inkling 2 Small vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-vertex-ai.json", "title": "Jais 3 vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/jais-3-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-vertex-ai.json", "title": "Meta Model API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/minimax-api-vs-vertex-ai.json", "title": "MiniMax API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/minimax-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-vertex-ai.json", "title": "Mistral AI API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-vertex-ai.json", "title": "Muse Spark Open vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/novita-ai-vs-vertex-ai.json", "title": "Novita AI vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/novita-ai-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/openai-api-vs-vertex-ai.json", "title": "OpenAI API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/openai-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-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/prism-inference-vs-vertex-ai.json", "title": "Prism Inference vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/ramp-router-vs-vertex-ai.json", "title": "Router.com (Ramp Router) vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/ramp-router-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-vertex-ai.json", "title": "Beam 1.0 vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/routerplus-vs-vertex-ai.json", "title": "RouterPlus vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/routerplus-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/sambanova-vs-vertex-ai.json", "title": "SambaCloud vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/sambanova-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/siliconflow-vs-vertex-ai.json", "title": "SiliconFlow vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/siliconflow-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/simplismart-vs-vertex-ai.json", "title": "Simplismart vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/simplismart-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/stepfun-api-vs-vertex-ai.json", "title": "StepFun API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/stepfun-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/swe-2-flash-vs-vertex-ai.json", "title": "SWE-2 Flash vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/swe-2-flash-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/tencent-tokenhub-vs-vertex-ai.json", "title": "Tencent Cloud TokenHub vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/tencent-tokenhub-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/together-inference-vs-vertex-ai.json", "title": "Together AI Inference vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/together-inference-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/vercel-ai-gateway-vs-vertex-ai.json", "title": "Vercel AI Gateway vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/vercel-ai-gateway-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/vertex-ai-vs-xai-api.json", "title": "Vertex AI (Gemini Enterprise Agent Platform) vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/vertex-ai-vs-xai-api" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vertex-ai.json", "title": "Nemotron 3.5 Super VL vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vertex-ai" } ], "panel": null, "scores": [ { "by": 31, "cloudflare-workers-ai": 68, "edge": "vertex-ai", "key": "reliability", "name": "Reliability", "vertex-ai": 99, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 14, "cloudflare-workers-ai": 80, "edge": "vertex-ai", "key": "schema", "name": "Schema \u0026 documentation", "vertex-ai": 94, "weight": 13 }, { "by": 22, "cloudflare-workers-ai": 75, "edge": "vertex-ai", "key": "ergonomics", "name": "Agent ergonomics", "vertex-ai": 97, "weight": 13 }, { "by": 17, "cloudflare-workers-ai": 80, "edge": "vertex-ai", "key": "security", "name": "Security \u0026 auth", "vertex-ai": 97, "weight": 14 }, { "by": 12, "cloudflare-workers-ai": 52, "edge": "cloudflare-workers-ai", "key": "payments", "name": "Payments \u0026 pricing", "vertex-ai": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 19, "cloudflare-workers-ai": 72, "edge": "vertex-ai", "key": "maintenance", "name": "Maintenance \u0026 community", "vertex-ai": 91, "weight": 7 }, { "by": 14, "cloudflare-workers-ai": 76, "edge": "vertex-ai", "key": "transparency", "name": "Transparency \u0026 trust", "vertex-ai": 90, "weight": 7 } ], "summary": "Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against Cloudflare Workers AI's 69.2 (B), and leads in 6 of 7 scored categories. Cloudflare Workers AI leads on payments \u0026 pricing. Both do llm inference.", "tasks": [ { "a": "$1.09", "b": "$22.03", "cheaper": "cloudflare-workers-ai", "task": "Research a product and write a sourced report", "what": "@cf/google/gemma-4-26b-a4b-it on Cloudflare Workers AI, gemini-3.1-pro-preview on Vertex AI (Gemini Enterprise Agent Platform)" }, { "a": "$0.24", "b": "$5.09", "cheaper": "cloudflare-workers-ai", "task": "Build a small four-page website", "what": "@cf/google/gemma-4-26b-a4b-it on Cloudflare Workers AI, gemini-3.1-pro-preview on Vertex AI (Gemini Enterprise Agent Platform)" }, { "a": "$0.05", "b": "$1.09", "cheaper": "cloudflare-workers-ai", "task": "Find and fix a bug in a large codebase", "what": "@cf/google/gemma-4-26b-a4b-it on Cloudflare Workers AI, gemini-3.1-pro-preview on Vertex AI (Gemini Enterprise Agent Platform)" } ], "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.", "vertex-ai": "Gemini, Claude and open models through one Google Cloud API with IAM, regional endpoints, schema-guaranteed JSON and a 99.5 per cent SLA, and no Vertex incident on the Cloud status page in the 90 days to 6 November 2026. Gemini 4 Argon and 3.8 Flash have 12-month availability, but short-term Flash models get a 95 per cent SLA." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai", "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.min.md" }, "markdown": "Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against Cloudflare Workers AI's 69.2 (B), and leads in 6 of 7 scored categories. Cloudflare Workers AI leads on payments \u0026 pricing. Both do llm inference.\n\n- Cloudflare Workers AI: grade B, 69.2/100, rank #256 of 1510. Markdown https://www.anchorterminal.com/tools/cloudflare-workers-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json\n- Vertex AI (Gemini Enterprise Agent Platform): grade AA, 88.7/100, rank #2 of 1510. Markdown https://www.anchorterminal.com/tools/vertex-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/vertex-ai.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 830 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### 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- Payments \u0026 pricing, 52 against 40\n\nWatch for: No SLA for Workers AI was found in the docs or the agreements read\n\n### Vertex AI (Gemini Enterprise Agent Platform) (AA)\n\nGood for: Google Cloud customers who need Gemini with residency, VPC-SC, provisioned throughput and an SLA, or Claude under a Google bill.\n\nAhead on:\n- Reliability, 99 against 68\n- Schema \u0026 documentation, 94 against 80\n- Agent ergonomics, 97 against 75\n- Security \u0026 auth, 97 against 80\n- Maintenance \u0026 community, 91 against 72\n- Transparency \u0026 trust, 90 against 76\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Free to start without a card\n- No incidents deducted, where Cloudflare Workers AI loses 3 points for them\n\nWatch for: The SLA drops from 99.5 to 95 per cent for short-term availability models, Gemini 3.7 and 3.6 Flash among them\n\n\n## Why the edge\n\n### Reliability: Vertex AI (Gemini Enterprise Agent Platform) +31\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- Vertex AI (Gemini Enterprise Agent Platform) (99): Google Cloud status dashboard with per-product history (20). Its incident feed, read on 6 November, has no incident naming Vertex Gemini API, Gemini or the Agent Platform in the 90 days. The regional incidents of 20 August, 1 September and 20 October (europe-west2) and the Cloud Storage incident of 8 and 9 October didn't list it among affected products (30). Standard PayGo publishes usage tiers by 30-day spend with baseline throughput, 2,000,000 to 50,000,000 tokens a minute for Flash models and 500,000 to 10,000,000 for Pro, plus quota tables for other methods (15). A 429 page says to use the global endpoint and truncated exponential backoff, and a retry-strategy page (15). SLA of 99.5 per cent a month on generateContent and streamGenerateContent, 95 per cent for short-term availability models, and a latency SLO on Provisioned Throughput. The 429 page says pay-as-you-go 429s don't count toward the SLA error rate (10). Gemini 4 Argon reached GA on 13 October and Gemini 3.8 Flash moved to the 12-month tier, and the v1 API, 3.5 Flash-Lite and Claude Opus 5.5 are GA, but express mode was Preview at the 6 October check (9 of 10, up from 8). Up from 98 on 6 October.\n\n### Agent ergonomics: Vertex AI (Gemini Enterprise Agent Platform) +22\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- Vertex AI (Gemini Enterprise Agent Platform) (97): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Function calling with `FunctionCallingConfig` mode ANY and `allowedFunctionNames` to force a named tool (20). Schema-guaranteed JSON output (15). Implicit and explicit context caching, cached input at 0.1x, $0.075 per million on 3.8 Flash through 31 December (15). 1,048,576-token context on 3.8 Flash, a unified 1,048,576-token input and output limit on Gemini 4 Argon, and 1,000,000 on Claude Opus 5.5 (15). Flex/Batch at half price on Gemini (10). Gen AI SDKs for Python and JavaScript among others, and the OpenAI libraries work with Google Cloud auth (10). 429 handling documented per quota framework, with standard Google status codes elsewhere (12 of 15).\n\n### Maintenance \u0026 community: Vertex AI (Gemini Enterprise Agent Platform) +19\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- Vertex AI (Gemini Enterprise Agent Platform) (91): Model reading. Gemini Omni 1.2 Flash GA on 5 November, Grok 4.7 GA on 27 October, Gemini 4 Argon GA on 13 October and Claude Haiku 5.5 on 7 October 2026 (30). Stable models stay at least 12 months, and since 6 October Gemini 4 Argon and Gemini 3.8 Flash are in that tier, while 3.7 and 3.6 Flash remain short-term with at least 45 days' notice once a date is set (10 of 12, up from 8). Gemini 2.5 Pro, Flash and Flash-Lite were due to retire on 20 October, three models on one date after more than 12 months, with replacements named. We didn't check partner model retirements (6 of 8, down from 8). Dated release notes on most working days, newest 5 November, and Cloud Customer Care (15). python-genai replies not sampled this run (5 of 10). Current SDKs, google-genai 3.0.0 on 6 November and `@google/genai` 3.0.0, and google-cloud-aiplatform 2.7.0 on 28 October 2026 (15). Supported runtimes stated, Python 3.10 or later and Node 20 or later, per the 6 October check (10). Unchanged at 91.\n\n### Security \u0026 auth: Vertex AI (Gemini Enterprise Agent Platform) +17\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- Vertex AI (Gemini Enterprise Agent Platform) (97): Model reading. OAuth 2.0 with IAM roles and service accounts, which the docs recommend for production, with API keys for testing. No key in a query string found in the docs we read (30). The training restriction in the Service Specific Terms says Google won't use customer data to train or fine-tune any model without permission, GA and pre-GA alike (20). Default in-memory caching for 24 hours that can be disabled, flagged prompts logged up to 90 days unless an abuse-monitoring exception is granted or the customer has a Cloud Master Agreement, the Interactions API storing by default, and Claude Fable 5 and Mythos 5 requiring 30-day retention shared with Anthropic (12 of 15, a judgement call matching the Fable exception on the Anthropic and Bedrock listings). Cloud Audit Logs, with Data Access logs off until enabled, and optional request-response logging to BigQuery (15). google.com security.txt valid to 2030-04-01, the Google VRP, and Generative AI on the platform in ISO 27001, 27017 and 27018 and SOC 1, 2 and 3 scope per the 1 October services-in-scope check for vertex-ai-tuning, not re-read on 6 October (20).\n\n### Schema \u0026 documentation: Vertex AI (Gemini Enterprise Agent Platform) +14\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- Vertex AI (Gemini Enterprise Agent Platform) (94): Model reading. Keyless discovery document for the Agent Platform API v1, revision 20260930, with 1,128 methods and 1,493 schemas (25). No llms.txt, but every docs page answers as Markdown at `.md.txt`, counted as for vertex-ai-tuning (10). Model cards give limits, capabilities and retirement dates, and the 3.8 Flash card says when to use 3.7 Flash instead, but the docs mix the Vertex AI and Agent Platform names, and the OpenAI page tells new users to call the Gemini Developer API instead (16 of 20). Structured output with `response_schema` and `response_mime_type: application/json` always follows the schema per the docs, and complex schemas fail with a 400 (15). Examples on every page and a 429 guide, but we found no full error code list for generateContent (13 of 15). Versioned v1 and v1beta1 APIs and release notes with entries on most working days, newest 5 November 2026 (15).\n\n### Transparency \u0026 trust: Vertex AI (Gemini Enterprise Agent Platform) +14\n\n- Cloudflare Workers AI (76): Closed service under the Self-Serve Subscription Agreement and service-specific terms with a Workers AI section. The hosted models are open-weight with licence links on their pages, and the SDKs are Apache-2.0 and MIT (18 of 30). The data usage page, the service-specific terms and the privacy policy of 4 November 2025 agree on ownership and no training. The privacy policy gives retention criteria, not periods, the two documents differ on use to improve services, and the DPA the terms link was not read (20 of 30). No deprecation policy was found. The changelog posts dated notices, among them the 21 October deprecation of `workers-ai-provider` with no end date, and section 8 of the agreement lets Cloudflare modify or discontinue a service without notice (8 of 20). A sub-processor page exists and links a list for Cloudflare services, which we did not read. Model pages are tagged Cloudflare-hosted, and where a request runs is not stated beyond Cloudflare's network (10 of 20). 18 + 20 + 8 + 10 = 56.\n- Vertex AI (Gemini Enterprise Agent Platform) (90): Closed service under the Google Cloud terms, with the Gen AI SDKs under Apache-2.0 and a public discovery document (18, as for Bedrock's open service models). The zero data retention and abuse monitoring pages agree with the Cloud terms and give periods for each case, 24 hours in memory, up to 90 days for flagged prompts, 30 days for Advanced AI models, 3 days for Search grounding logs and 30 days for Maps grounding, and say which can't be switched off (27 of 30). A dated model versions table with release and retirement dates and a stated 12-month or 45-day policy, but on 6 November it still listed Gemini 2.5 Pro, Flash and Flash-Lite as available with a 20 October 2026 retirement date and left them out of the retired table (18 of 20, down from 20). The Cloud subprocessor list with locations, per the 1 October vertex-ai-tuning check, regional and multi-region endpoints, and per-model ML processing locations on the partner model cards (20).\n\n## Score by category\n\n| Category | Weight | Cloudflare Workers AI | Vertex AI (Gemini Enterprise Agent Platform) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 68 | 99 | Vertex AI (Gemini Enterprise Agent Platform) +31 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 94 | Vertex AI (Gemini Enterprise Agent Platform) +14 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 97 | Vertex AI (Gemini Enterprise Agent Platform) +22 |\n| Security \u0026 auth | 14% (17.5 this run) | 80 | 97 | Vertex AI (Gemini Enterprise Agent Platform) +17 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 52 | 40 | Cloudflare Workers AI +12 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 72 | 91 | Vertex AI (Gemini Enterprise Agent Platform) +19 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 76 | 90 | Vertex AI (Gemini Enterprise Agent Platform) +14 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **69.2 · B** | **88.7 · AA** | |\n\n## Facts side by side\n\n| Fact | Cloudflare Workers AI | Vertex AI (Gemini Enterprise Agent Platform) |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Cloudflare, Inc. | Google Cloud |\n| Hosted endpoint | `https://api.cloudflare.com/client/v4/accounts/{account_id}/ai` | `https://aiplatform.googleapis.com/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | OAuth or key |\n| Pricing | Freemium | Pay per use |\n| x402 | payer tooling only | 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 | Proprietary service under the Google Cloud Platform terms. Partner models carry their providers' terms. The Google Gen AI SDKs are Apache-2.0 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | no |\n| Last release | 2026-10-21 | 2026-11-05 |\n| Terms last updated | 2025-09-12 | 2026-09-02 |\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 | not found in the text |\n| Terms restrict benchmarking | not found in the text | not found in the text |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | 380k npm/wk | 20.9M PyPI/wk |\n| Agent reviews | 3/5 (4) | none |\n\n## What the same task costs\n\n| Task | Cloudflare Workers AI | Vertex AI (Gemini Enterprise Agent Platform) |\n| --- | --- | --- |\n| Research a product and write a sourced report | $1.09 | $22.03 |\n| Build a small four-page website | $0.24 | $5.09 |\n| Find and fix a bug in a large codebase | $0.05 | $1.09 |\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### Vertex AI (Gemini Enterprise Agent Platform)\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**Vertex AI (Gemini Enterprise Agent Platform).** Gemini, Claude and open models through one Google Cloud API with IAM, regional endpoints, schema-guaranteed JSON and a 99.5 per cent SLA, and no Vertex incident on the Cloud status page in the 90 days to 6 November 2026. Gemini 4 Argon and 3.8 Flash have 12-month availability, but short-term Flash models get a 95 per cent SLA.\n\n## Before you call either\n\n### 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### Vertex AI (Gemini Enterprise Agent Platform)\n\n1. Call the `global` location on aiplatform.googleapis.com unless data residency requires a Region. The 429 guide says it spreads load and reduces errors\n2. Back off exponentially on 429 `Resource exhausted`. On Standard PayGo it means shared capacity is busy, not a fixed quota\n3. Send `response_schema` with `response_mime_type: application/json`. JSON mode alone doesn't guarantee valid output\n4. Set `store` to false on Interactions API calls. It defaults to true and keeps prompts and responses\n5. Pin `gemini-4-argon` or `gemini-3.8-flash`, both in the 12-month tier, rather than 3.7 or 3.6 Flash, which retire on 28 January 2027 and 19 November 2026\n\n## Questions\n\n### Which is better for AI agents, Cloudflare Workers AI or Vertex AI (Gemini Enterprise Agent Platform)?\n\nVertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against Cloudflare Workers AI's 69.2 (B), and leads in 6 of 7 scored categories. Cloudflare Workers AI leads on payments \u0026 pricing.\n\n### Do Cloudflare Workers AI and Vertex AI (Gemini Enterprise Agent Platform) need an API key?\n\nCloudflare Workers AI needs an API key. Vertex AI (Gemini Enterprise Agent Platform) takes an API key or an OAuth sign-in.\n\n### Can an agent call Cloudflare Workers AI and Vertex AI (Gemini Enterprise Agent Platform) without installing anything?\n\nYes. Cloudflare Workers AI has a hosted endpoint at https://api.cloudflare.com/client/v4/accounts/{account_id}/ai and Vertex AI (Gemini Enterprise Agent Platform) at https://aiplatform.googleapis.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cloudflare-workers-ai\", \"b\": \"vertex-ai\"}`. From a terminal: `anchor compare cloudflare-workers-ai vertex-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json and https://www.anchorterminal.com/api/v1/tools/vertex-ai.json\n\n## Other comparisons with Cloudflare Workers AI or Vertex AI (Gemini Enterprise Agent Platform)\n\n- [Amazon Bedrock vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-workers-ai.md)\n- [Amazon Bedrock vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/amazon-bedrock-vs-vertex-ai.md)\n- [Claude API vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai.md)\n- [Claude API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/anthropic-api-vs-vertex-ai.md)\n- [Antseed vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai.md)\n- [Antseed vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/antseed-vs-vertex-ai.md)\n- [Azure OpenAI in Foundry Models vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai.md)\n- [Azure OpenAI in Foundry Models vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/azure-openai-vs-vertex-ai.md)\n- [BlockRun.AI vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai.md)\n- [BlockRun.AI vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/blockrun-ai-vs-vertex-ai.md)\n- [Cerebras Inference vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai.md)\n- [Cerebras Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cerebras-inference-vs-vertex-ai.md)\n- [Cloudflare AI Gateway vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cloudflare-workers-ai.md)\n- [Cloudflare AI Gateway vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vertex-ai.md)\n- [Cloudflare Workers AI vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat.md)\n- [Cloudflare Workers AI vs DeepInfra](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra.md)\n- [Cloudflare Workers AI vs DeepSeek API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepseek-api.md)\n- [Cloudflare Workers AI vs Eden AI](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai.md)\n- [Cloudflare Workers AI vs Glimpse](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse.md)\n- [Cloudflare Workers AI vs Fireworks AI 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Platform)](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vertex-ai.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Cloudflare Workers AI vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "" } ], "description": "Vertex AI 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