{ "data": { "a": { "slug": "cloudflare-ai-gateway", "name": "Cloudflare AI Gateway", "vendor": "Cloudflare, Inc.", "vendorUrl": "https://www.cloudflare.com", "kind": "router", "category": "inference", "summary": "AI Gateway is Cloudflare's proxy and router for model providers. Agents call OpenAI-style, Anthropic-style or native endpoints on the Cloudflare API, with logging, caching, rate and spend limits, retries, fallbacks and one prepaid credit balance.", "url": "https://www.anchorterminal.com/tools/cloudflare-ai-gateway", "markdownUrl": "https://www.anchorterminal.com/tools/cloudflare-ai-gateway.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cloudflare-ai-gateway.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cloudflare-ai-gateway.json", "dns": "cloudflare-ai-gateway.grade.anchorterminal.com", "repo": "https://github.com/cloudflare/ai", "license": "Proprietary service under Cloudflare's Self-Serve Subscription Agreement and its service-specific terms. Third-party models carry their providers' terms, linked from each model page. `ai-gateway-provider` is MIT and Cloudflare's OpenAPI repository is BSD-3-Clause", "transports": [ "http" ], "remoteUrl": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai", "packages": [ { "registry": "npm", "name": "ai-gateway-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. The `/ai/*` inference routes need Workers AI Read, and the `/ai-gateway/*` management routes need AI Gateway Read or Edit. Provider-native endpoints on `gateway.ai.cloudflare.com` take the token in `cf-aig-authorization`. Tokens can carry an expiry and an IP address filter and cannot be limited to one gateway. Access is self-serve, with no review or sales step.", "pricing": "freemium", "pricingNotes": "Free on all plans for analytics, caching, rate limiting and DLP scanning, with a Cloudflare account. Third-party models are paid from prepaid Unified Billing credits at provider prices plus a 5 per cent fee on each credit purchase, or with the caller's own provider keys at no Cloudflare charge. Guardrails are billed as Workers AI inference. Accounts whose first gateway dates from 24 September 2026 or later keep logs in Workers Logs at Workers Logs pricing, older accounts in Legacy Logs (100,000 logs on Workers Free, 10,000,000 per gateway on Workers Paid). Logpush follows Logpush pricing (https://developers.cloudflare.com/ai-gateway/reference/pricing/, checked 2026-11-01).", "priceSummary": "5% fee", "where": "hosted", "x402": { "level": "partial", "evidence": "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 OpenAI-style and Anthropic-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": 250648, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://developers.cloudflare.com/ai-gateway/", "llmsTxt": "https://developers.cloudflare.com/ai-gateway/llms.txt", "openapi": "https://raw.githubusercontent.com/cloudflare/api-schemas/main/openapi.json", "capabilities": [ "inference.llm", "inference.router", "obs.gateway", "guard.moderation", "guard.pii" ], "tags": [ "hosted", "router", "free-tier", "usage-based", "x402", "openapi", "llms-txt", "openai-compatible", "typescript", "python", "go", "status-page", "bug-bounty" ], "lastRelease": "2026-10-21", "graded": true, "anchor": { "graded": true, "score": 67.8, "grade": "B", "agentReady": false, "rank": 301, "ranked": true, "rankOf": 1510, "categoryRank": 12, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 73, "maintenance": 75, "payments": 52, "reliability": 66, "schema": 75, "security": 80, "transparency": 74 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -3, "negativeNotes": [ "6 October 2026. Rejected-credential responses on `POST /ai/run` changed status (ElevenLabs 403, Vertex 500 and other providers' 402 became 401 with code 2009, and Unified Billing rejections became 503) on the day of the changelog entry, with no advance notice found. On 8 October new log IDs and request IDs changed from ULIDs and random UUIDs to UUIDv7, announced the same day with advice to update code that checks the ULID format. Repeats of one kind fold into one term. Three points (https://developers.cloudflare.com/ai-gateway/changelog/)." ], "verdict": "The gateway layer is free, per-model prices are public with no markup, and logs, spend limits and fallbacks are set per gateway. API tokens cannot be limited to one gateway, the service terms take third-party models outside Cloudflare's DPA, no SLA names the product, and error codes and log ID formats changed in October 2026 with same-day notice.", "bestFor": "Teams that already hold a Cloudflare account and want one token, one bill, logs, budgets and fallbacks in front of several model providers, or that want to keep their own provider keys behind a proxy with spend limits.", "strengths": [ "Core gateway functions (analytics, caching, rate limiting) are free on all plans, and provider prices pass through with no markup", "One Cloudflare API token reaches 241 catalogue models through OpenAI Chat Completions, OpenAI Responses, Anthropic Messages or the native `/ai/run` route", "Spend limits block requests with a 429 once a budget is reached, scoped by model, provider or request metadata, with up to 20 rules a gateway", "Logging is switched per gateway and per request, and `cf-aig-collect-log-payload: false` keeps token and cost metadata without storing prompts", "x402 payment (Machine Payments, beta since 30 September 2026) works on `POST /ai/run` for four open models" ], "weaknesses": [ "API tokens are account-scoped. Any token with AI Gateway Run can send requests through every gateway in the account and spend its stored provider keys", "The service-specific terms say the DPA and Information Security Exhibit do not apply to third-party models reached through AI Gateway", "No SLA naming AI Gateway was found. The Enterprise SLA lists service-specific SLAs for R2, Queues and Workers only", "On 6 October 2026 rejected-credential responses on `/ai/run` changed to 401 with code 2009, and on 8 October log IDs became UUIDv7, each announced the same day", "Unified Billing traffic is capped at 200 requests per 60 seconds per gateway, and a 5 per cent fee applies to credit purchases", "Section 2.2(e) of the Self-Serve Subscription Agreement bars automated agents that generate automated requests into the Services, which matters before any probe is run", "`ai-gateway-provider` was feature frozen and deprecated on 21 October 2026 in favour of `createAI` in the Agents SDK" ], "agentNotes": [ "Use the REST API at `api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1` with a token holding Workers AI Read. A token with only an AI Gateway permission returns 401 with code 10000", "Send `cf-aig-gateway-id` on every Workers AI (`@cf/`) call and on dynamic routes. Without it a dynamic route resolves against the default gateway and returns 404", "Set `cf-aig-collect-log: false` or `cf-aig-collect-log-payload: false` on sensitive requests. Logging of prompts and responses is on by default", "Treat a 429 as a rate limit or a spent budget and a 401 with code 2009 as a rejected provider key. Do not retry a 2009", "Set `byok_only` on the gateway or send `cf-aig-no-wholesale: true` to stop a request without a provider key falling through to paid Unified Billing credits", "Use `createAI` from the `agents` package for new AI SDK code. `ai-gateway-provider` is deprecated and gets no new work" ], "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": 67.8 } ], "editorialScores": { "ergonomics": 73, "maintenance": 75, "payments": 52, "reliability": 66, "schema": 75, "security": 80, "transparency": 51 }, "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 -X POST \"https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/v1/chat/completions\" \\\n --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n --header \"Content-Type: application/json\" \\\n --data '{\n \"model\": \"openai/gpt-4.1-mini\",\n \"messages\": [{\"role\": \"user\", \"content\": \"What is Cloudflare?\"}]\n }'", "x402": "curl -iX POST \"https://api.cloudflare.com/client/v4/accounts/$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-ai-gateway" }, "sameCompany": [ "cloudflare-workers-ai", "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": "Unified Billing credit purchase fee", "unit": "pct", "usd": 5, "note": "a $100 purchase is charged $105" } ], "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/ai-gateway/changelog/", "securityTxt": "valid", "checked": "2026-10-09", "notes": [ "Terms are the Self-Serve Subscription Agreement, last updated 12 September 2025, which names Cloudflare, Inc. at 101 Townsend St, San Francisco.", "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. The customer DPA is version 6.4, effective 3 April 2026.", "www.cloudflare.com/.well-known/security.txt, read on 9 October 2026, names HackerOne and a disclosure policy and has no Expires field. It is recorded as valid, although RFC 9116 asks for that field.", "The inference endpoints are on api.cloudflare.com and gateway.ai.cloudflare.com.", "The status page lists AI Gateway as its own component, operational on 9 October 2026.", "RDAP for cloudflare.com gives a registration date of 2009-02-17." ], "score": 96 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cloudflare-ai-gateway.json", "live": { "slug": "cloudflare-ai-gateway", "probe": { "target": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai", "method": "get", "lastAt": "2026-11-07T19:22:00.000167341Z", "lastOk": true, "lastStatus": 404, "lastMs": 64, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 43, "p95ms24h": 148, "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": "2026-11-07T19:21:16.420324083Z" }, "versions": [ { "registry": "github", "name": "cloudflare/ai", "version": "ai-gateway-provider@4.0.2", "released": "2026-10-20", "seenAt": "2026-11-06T23:15:38.559571341Z" }, { "registry": "npm", "name": "ai-gateway-provider", "version": "4.0.2", "seenAt": "2026-11-06T23:15:36.263846681Z" }, { "registry": "npm", "name": "cloudflare", "version": "7.3.0", "seenAt": "2026-11-06T23:15:36.494835591Z" }, { "registry": "pypi", "name": "cloudflare", "version": "5.10.0", "released": "2026-11-05", "seenAt": "2026-11-06T23:15:38.451058045Z" } ], "githubStars": 1214, "npmWeekly": 232984, "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/ai-gateway/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:31:51.067852107Z" }, "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/ai-gateway/changelog/", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-07T14:03:42.700833734Z", "changedAt": "2026-11-07T14:03:42.700833734Z", "fingerprint": "e12d8cc0ccb6" }, { "url": "https://developers.cloudflare.com/ai-gateway/reference/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-11-07T14:03:44.942884533Z", "changedAt": "2026-11-05T12:27:58.285650461Z", "fingerprint": "37ec41081ede" }, { "url": "https://www.cloudflare.com/privacypolicy/", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:26:53.030074077Z", "changedAt": "2026-11-06T13:47:54.357995184Z", "fingerprint": "282aa4b71b3e" }, { "url": "https://www.cloudflare.com/terms/", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:26:55.359645005Z", "changedAt": "2026-10-22T01:30:41.491480215Z", "fingerprint": "515e09b3c6ed" } ], "github": { "repo": "cloudflare/ai", "checkedAt": "2026-11-02T08:39:38.372041532Z", "stars": 1210, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-27T10:39:35Z", "openIssues": 63, "openPRs": 21, "issuesOpened90d": 21, "issuesClosed90d": 12, "prsMerged90d": 6, "ci": { "branch": "main", "runs": 50, "success": 49, "failure": 0, "other": 1, "latest": "success", "latestAt": "2026-10-27T10:42:34Z" }, "advisories": [ { "ghsa": "GHSA-v85r-hgf6-q875", "severity": "medium", "published": "2025-11-04T18:27:48Z" } ], "replies": { "sampled": 25, "unanswered": 14, "medianDays": 0.1 } }, "updatedAt": "2026-11-07T19:22:00.000167341Z" } }, "answer": "Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against Cloudflare AI Gateway's 67.8 (B), and leads in 6 of 7 scored categories. Cloudflare AI Gateway 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": 33, "category": "reliability", "leads": "vertex-ai", "name": "Reliability", "reasons": { "a": "Hosted reading. www.cloudflarestatus.com is a Statuspage with AI Gateway, Workers AI 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 AI Gateway, with an 18-minute minor API incident on 7 October and delayed permission changes on 30 September. On 1 November the host's history.atom held only scheduled maintenance for 2 to 6 November, and the history page loads by script. Whether the incidents posted from 16 to 31 October name AI Gateway wasn't read for this listing (cloudflare-r2, cloudflare-workers-ai and cloudflare-email-service read that list for their own components only), and 3 August to 20 September and 9 to 15 October went unread too. An unread window isn't credited, so the line rests on the 21 September to 8 October reading alone, as on 9 October (10 of 30). Unified Billing traffic is limited to 200 requests per 60 seconds per gateway, re-read on 1 November, the Cloudflare API to 1,200 requests per five minutes per token, and BYOK traffic has no gateway limit (15). Over-limit and over-budget requests return 429, the Cloudflare API returns `retry-after` and `Ratelimit` headers for its own limit, and retries with backoff and model fallbacks can be set per request or per gateway. No `Retry-After` was found for the gateway's own 429, and nothing separates a rate-limit 429 from a spend-limit 429 (11 of 15). No SLA naming AI Gateway was found. The Enterprise SLA lists service-specific SLAs for R2, Queues and Workers only (0). The core product carries no beta label, and Machine Payments is in beta (10). 20 + 10 + 15 + 11 + 0 + 10 = 66.", "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": 66, "b": 99 } }, { "by": 24, "category": "ergonomics", "leads": "vertex-ai", "name": "Agent ergonomics", "reasons": { "a": "Router, read on the model lines (tool use, structured output, caching, context, batch, SDKs, errors). Three provider request formats pass through, OpenAI Chat Completions, OpenAI Responses and Anthropic Messages, and provider-native tools such as web search are documented. Tool behaviour depends on the routed model (15 of 20). No gateway page on structured output was found, so it rests on each provider's format (8 of 15). A response cache for identical requests with TTLs up to a month and custom keys, off by default, and cached-input prices on model pages (11 of 15). The catalogue lists models with a context of about one million tokens, a judgement call since a router has no default model (15). Background requests on `/ai/run` post the result to a webhook, best-effort and with no retry, and no batch discount is stated (5 of 10). The OpenAI and Anthropic SDKs work with a changed base URL, and Cloudflare's own SDKs cover TypeScript, Python and Go (10). Status codes are documented page by page (401 with 10000 or 2009, 400, 404, 429, 503) with `cf-aig-step` and routing headers on responses, and no consolidated error reference (9 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": 73, "b": 97 } }, { "by": 19, "category": "schema", "leads": "vertex-ai", "name": "Schema \u0026 documentation", "reasons": { "a": "Router, scored on the API lines. Cloudflare's public OpenAPI 3.0.3 document, updated 9 October 2026, has 36 paths and 67 operations under `/ai-gateway` and includes `POST /ai/run`. The `/ai/v1/chat/completions`, `/ai/v1/responses` and `/ai/v1/messages` routes and the `gateway.ai.cloudflare.com` endpoints are not in it (20 of 25). An AI Gateway `llms.txt` and a Markdown copy of every page (10). Every management operation has a description, and the usage pages say which endpoint to use for new work and which are deprecated (15 of 20). Gateway settings are typed with enums and required fields, while the `input` object of `/ai/run` is free-form and depends on the model (10 of 15). Curl, SDK and Worker examples on most pages. No table of gateway error codes was found. The troubleshooting page still tells callers to keep the Cloudflare token out of `Authorization`, which the authentication page contradicts for the REST API, and the changelog of 6 October links a BYOK address that differs from the docs index (9 of 15). A dated changelog with RSS. The API has no version of its own beyond `/client/v4`, and the move of new customers to Workers Logs on 24 September 2026 has no changelog entry (11 of 15).", "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": 75, "b": 94 } }, { "by": 17, "category": "security", "leads": "vertex-ai", "name": "Security \u0026 auth", "reasons": { "a": "Router, read on the model lines. Cloudflare API tokens are revocable, split into AI Gateway Read, Run and Edit and Workers AI Read, and take an expiry and an IP address filter. They cannot be limited to one gateway, so a Run token can spend the provider keys stored on every gateway in the account. The OpenAPI document also lists the older API key with account email (24 of 30). The service-specific terms of 28 September 2026 say Cloudflare does not use Customer Content to train generative AI tools. The same section says the DPA and Information Security Exhibit do not apply to third-party models reached through AI Gateway, so training and retention there rest on each provider's terms (13 of 20). Prompts and responses are logged by default. Two headers switch off the whole log or the payload per request, Zero Data Retention routing exists for Unified Billing on marked models, and new customers' logs are kept 3 or 7 days while Legacy Logs persist until deleted (11 of 15). Per-request logs carry prompt, response, tokens, cost and user agent, account audit logs record gateway creation, update and deletion, and Logpush and OpenTelemetry export exist (14 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 it is certified to ISO 27001 (since 2019, now 27001:2022), ISO 27018 and ISO 27701, with a scope of the Cloudflare global cloud platform, which doesn't name AI Gateway. 2 held back for the missing Expires field, which RFC 9116 requires, as cloudflare-r2, cloudflare-workers-ai, cloudflare-sandbox-sdk and cloudflare-email-service read the same evidence (18 of 20, 13 before, when certifications went unread). Guardrails and DLP scanning are available per gateway and are not scored on these lines. 24 + 13 + 11 + 14 + 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": 16, "category": "maintenance", "leads": "vertex-ai", "name": "Maintenance \u0026 community", "reasons": { "a": "Router, read on the model lines. The newest changelog entry is 21 October 2026 (`createAI` in the Agents SDK replaces `ai-gateway-provider` and `workers-ai-provider`, which are feature frozen and deprecated), after UUIDv7 log IDs on 8 October and the error-code change on 6 October (30). No minimum notice for API changes was found. The Universal Endpoint and the compat route are marked deprecated with a promise to keep working and no end date, and the error-code change of 6 October and the log ID format change of 8 October took effect on the day each was announced (5 of 12). No gateway endpoint was shut down in the last 90 days that we found. Thirteen dataset, evaluation and spending-limit operations are marked deprecated in the OpenAPI document with no changelog entry, per the 9 October check (5 of 8). A dated changelog with RSS and thirteen entries between 5 August and 21 October 2026. The Discord community was not sampled (11 of 15). Replies on the SDK repositories were not examined (3 of 10). `cloudflare` for TypeScript 7.3.0 and Python 5.9.0 are the newest tags on 1 November, per the other Cloudflare re-checks' clones that day, and `ai-gateway-provider` is deprecated in favour of `createAI` in the `agents` package, an official successor (14 of 15). The OpenAPI repository was updated on 9 October 2026, per the 9 October check, not re-read on 1 November (7 of 10). 30 + 5 + 5 + 11 + 3 + 14 + 7 = 75.", "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": 75, "b": 91 } }, { "by": 16, "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 section for Workers AI and AI Gateway. Each model page links the provider's terms, `ai-gateway-provider` is MIT and the OpenAPI repository is BSD-3-Clause (16 of 30). The service terms, the logging and Zero Data Retention pages, the DPA (version 6.4, 3 April 2026) and the privacy policy of 4 November 2025 were read. The privacy policy gives retention criteria, not periods. The terms take third-party models outside the DPA, while the sub-processor list names five model providers for AI Gateway, and the two are hard to square (17 of 30). No deprecation policy was found. Deprecated endpoints carry notices with no dates, and section 8 of the agreement lets Cloudflare modify or discontinue a service without notice (6 of 20). The sub-processor list, last updated 1 October 2025, names Google, Anthropic, OpenAI, xAI and Groq for AI Gateway with locations. The catalogue on 9 October 2026 also carries models from Alibaba, ByteDance, MiniMax and others that the list does not name (12 of 20). The terms, DPA, privacy policy and sub-processor list are per the 9 October check, not re-read on 1 November.", "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": 74, "b": 90 } } ], "facts": [ { "a": "Model router", "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 and its service-specific terms. Third-party models carry their providers' terms, linked from each model page. `ai-gateway-provider` is MIT and Cloudflare's 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": "251k 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 AI Gateway's 67.8 (B), and leads in 6 of 7 scored categories. Cloudflare AI Gateway leads on payments \u0026 pricing.", "question": "Which is better for AI agents, Cloudflare AI Gateway or Vertex AI (Gemini Enterprise Agent Platform)?" }, { "answer": "Cloudflare AI Gateway needs an API key. Vertex AI (Gemini Enterprise Agent Platform) takes an API key or an OAuth sign-in.", "question": "Do Cloudflare AI Gateway and Vertex AI (Gemini Enterprise Agent Platform) need an API key?" }, { "answer": "Yes. Cloudflare AI Gateway 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 AI Gateway and Vertex AI (Gemini Enterprise Agent Platform) without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Payments \u0026 pricing, 52 against 40" ], "also": null, "goodFor": "Teams that already hold a Cloudflare account and want one token, one bill, logs, budgets and fallbacks in front of several model providers, or that want to keep their own provider keys behind a proxy with spend limits.", "slug": "cloudflare-ai-gateway", "watchFor": "API tokens are account-scoped. Any token with AI Gateway Run can send requests through every gateway in the account and spend its stored provider keys" }, { "aheadOn": [ "Reliability, 99 against 66", "Schema \u0026 documentation, 94 against 75", "Agent ergonomics, 97 against 73", "Security \u0026 auth, 97 against 80", "Maintenance \u0026 community, 91 against 75", "Transparency \u0026 trust, 90 against 74" ], "also": [ "Agent-ready, a grade of BB or better", "Free to start without a card", "No incidents deducted, where Cloudflare AI Gateway 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-ai-gateway": [ { "causes": [ "evidence" ], "date": "2026-11-01", "delta": 0.9, "from": 66.9, "fromGrade": "B", "to": 67.8, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 66.8, "fromGrade": "B", "to": 66.9, "toGrade": "B" } ], "vertex-ai": null }, "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-ai-gateway.json", "title": "Amazon Bedrock vs Cloudflare AI Gateway", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-ai-gateway" }, { "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-ai-gateway.json", "title": "Claude API vs Cloudflare AI Gateway", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-ai-gateway" }, { "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-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-ai-gateway.json", "title": "Azure OpenAI in Foundry Models vs Cloudflare AI Gateway", "url": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-ai-gateway" }, { "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-ai-gateway.json", "title": "BlockRun.AI vs Cloudflare AI Gateway", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-ai-gateway" }, { "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-ai-gateway.json", "title": "Cerebras Inference vs Cloudflare AI Gateway", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-ai-gateway" }, { "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-cohere-chat.json", "title": "Cloudflare AI Gateway vs Cohere Chat API (Command models)", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cohere-chat" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-deepinfra.json", "title": "Cloudflare AI Gateway vs DeepInfra", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-deepinfra" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-deepseek-api.json", "title": "Cloudflare AI Gateway vs DeepSeek API", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-deepseek-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-eden-ai.json", "title": "Cloudflare AI Gateway vs Eden AI", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-eden-ai" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-elorian-glimpse.json", "title": "Cloudflare AI Gateway vs Glimpse", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-elorian-glimpse" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-fireworks-inference.json", "title": "Cloudflare AI Gateway vs Fireworks AI Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-fireworks-inference" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-api.json", "title": "Cloudflare AI Gateway vs Gemini Developer API", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-groq.json", "title": "Cloudflare AI Gateway vs GroqCloud", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-groq" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-hugging-face-inference-providers.json", "title": "Cloudflare AI Gateway vs Hugging Face Inference Providers", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-hugging-face-inference-providers" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-inkling-2-small.json", "title": "Cloudflare AI Gateway vs Inkling 2 Small", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-inkling-2-small" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-jais-3.json", "title": "Cloudflare AI Gateway vs Jais 3", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-meta-model-api.json", "title": "Cloudflare AI Gateway vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-minimax-api.json", "title": "Cloudflare AI Gateway vs MiniMax API", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-minimax-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-mistral-api.json", "title": "Cloudflare AI Gateway vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-muse-spark-open.json", "title": "Cloudflare AI Gateway vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-nemotron-3-5-super-vl.json", "title": "Cloudflare AI Gateway vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-novita-ai.json", "title": "Cloudflare AI Gateway vs Novita AI", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-openai-api.json", "title": "Cloudflare AI Gateway vs OpenAI API", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-openrouter.json", "title": "Cloudflare AI Gateway vs OpenRouter", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference.json", "title": "Cloudflare AI Gateway vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-ramp-router.json", "title": "Cloudflare AI Gateway vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-reflection-beam.json", "title": "Cloudflare AI Gateway vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-routerplus.json", "title": "Cloudflare AI Gateway vs RouterPlus", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-sambanova.json", "title": "Cloudflare AI Gateway vs SambaCloud", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-siliconflow.json", "title": "Cloudflare AI Gateway vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-simplismart.json", "title": "Cloudflare AI Gateway vs Simplismart", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-stepfun-api.json", "title": "Cloudflare AI Gateway vs StepFun API", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-swe-2-flash.json", "title": "Cloudflare AI Gateway vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-tencent-tokenhub.json", "title": "Cloudflare AI Gateway vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-together-inference.json", "title": "Cloudflare AI Gateway vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vercel-ai-gateway.json", "title": "Cloudflare AI Gateway vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-xai-api.json", "title": "Cloudflare AI Gateway vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-xai-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.json", "title": "Cloudflare Workers AI vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/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/antseed-vs-cloudflare-ai-gateway.json", "title": "Antseed vs Cloudflare AI Gateway", "url": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-litellm.json", "title": "Cloudflare AI Gateway vs LiteLLM", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-litellm" }, { "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": 33, "cloudflare-ai-gateway": 66, "edge": "vertex-ai", "key": "reliability", "name": "Reliability", "vertex-ai": 99, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 19, "cloudflare-ai-gateway": 75, "edge": "vertex-ai", "key": "schema", "name": "Schema \u0026 documentation", "vertex-ai": 94, "weight": 13 }, { "by": 24, "cloudflare-ai-gateway": 73, "edge": "vertex-ai", "key": "ergonomics", "name": "Agent ergonomics", "vertex-ai": 97, "weight": 13 }, { "by": 17, "cloudflare-ai-gateway": 80, "edge": "vertex-ai", "key": "security", "name": "Security \u0026 auth", "vertex-ai": 97, "weight": 14 }, { "by": 12, "cloudflare-ai-gateway": 52, "edge": "cloudflare-ai-gateway", "key": "payments", "name": "Payments \u0026 pricing", "vertex-ai": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 16, "cloudflare-ai-gateway": 75, "edge": "vertex-ai", "key": "maintenance", "name": "Maintenance \u0026 community", "vertex-ai": 91, "weight": 7 }, { "by": 16, "cloudflare-ai-gateway": 74, "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 AI Gateway's 67.8 (B), and leads in 6 of 7 scored categories. Cloudflare AI Gateway leads on payments \u0026 pricing. Both do llm inference.", "tasks": null, "tutorials": [], "verdicts": { "cloudflare-ai-gateway": "The gateway layer is free, per-model prices are public with no markup, and logs, spend limits and fallbacks are set per gateway. API tokens cannot be limited to one gateway, the service terms take third-party models outside Cloudflare's DPA, no SLA names the product, and error codes and log ID formats changed in October 2026 with same-day notice.", "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-ai-gateway-vs-vertex-ai", "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vertex-ai.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vertex-ai.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vertex-ai.min.md" }, "markdown": "Vertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against Cloudflare AI Gateway's 67.8 (B), and leads in 6 of 7 scored categories. Cloudflare AI Gateway leads on payments \u0026 pricing. Both do llm inference.\n\n- Cloudflare AI Gateway: grade B, 67.8/100, rank #301 of 1510. Markdown https://www.anchorterminal.com/tools/cloudflare-ai-gateway.md · JSON https://www.anchorterminal.com/api/v1/tools/cloudflare-ai-gateway.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 AI Gateway (B)\n\nGood for: Teams that already hold a Cloudflare account and want one token, one bill, logs, budgets and fallbacks in front of several model providers, or that want to keep their own provider keys behind a proxy with spend limits.\n\nAhead on:\n- Payments \u0026 pricing, 52 against 40\n\nWatch for: API tokens are account-scoped. Any token with AI Gateway Run can send requests through every gateway in the account and spend its stored provider keys\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 66\n- Schema \u0026 documentation, 94 against 75\n- Agent ergonomics, 97 against 73\n- Security \u0026 auth, 97 against 80\n- Maintenance \u0026 community, 91 against 75\n- Transparency \u0026 trust, 90 against 74\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 AI Gateway 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) +33\n\n- Cloudflare AI Gateway (66): Hosted reading. www.cloudflarestatus.com is a Statuspage with AI Gateway, Workers AI 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 AI Gateway, with an 18-minute minor API incident on 7 October and delayed permission changes on 30 September. On 1 November the host's history.atom held only scheduled maintenance for 2 to 6 November, and the history page loads by script. Whether the incidents posted from 16 to 31 October name AI Gateway wasn't read for this listing (cloudflare-r2, cloudflare-workers-ai and cloudflare-email-service read that list for their own components only), and 3 August to 20 September and 9 to 15 October went unread too. An unread window isn't credited, so the line rests on the 21 September to 8 October reading alone, as on 9 October (10 of 30). Unified Billing traffic is limited to 200 requests per 60 seconds per gateway, re-read on 1 November, the Cloudflare API to 1,200 requests per five minutes per token, and BYOK traffic has no gateway limit (15). Over-limit and over-budget requests return 429, the Cloudflare API returns `retry-after` and `Ratelimit` headers for its own limit, and retries with backoff and model fallbacks can be set per request or per gateway. No `Retry-After` was found for the gateway's own 429, and nothing separates a rate-limit 429 from a spend-limit 429 (11 of 15). No SLA naming AI Gateway was found. The Enterprise SLA lists service-specific SLAs for R2, Queues and Workers only (0). The core product carries no beta label, and Machine Payments is in beta (10). 20 + 10 + 15 + 11 + 0 + 10 = 66.\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) +24\n\n- Cloudflare AI Gateway (73): Router, read on the model lines (tool use, structured output, caching, context, batch, SDKs, errors). Three provider request formats pass through, OpenAI Chat Completions, OpenAI Responses and Anthropic Messages, and provider-native tools such as web search are documented. Tool behaviour depends on the routed model (15 of 20). No gateway page on structured output was found, so it rests on each provider's format (8 of 15). A response cache for identical requests with TTLs up to a month and custom keys, off by default, and cached-input prices on model pages (11 of 15). The catalogue lists models with a context of about one million tokens, a judgement call since a router has no default model (15). Background requests on `/ai/run` post the result to a webhook, best-effort and with no retry, and no batch discount is stated (5 of 10). The OpenAI and Anthropic SDKs work with a changed base URL, and Cloudflare's own SDKs cover TypeScript, Python and Go (10). Status codes are documented page by page (401 with 10000 or 2009, 400, 404, 429, 503) with `cf-aig-step` and routing headers on responses, and no consolidated error reference (9 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### Schema \u0026 documentation: Vertex AI (Gemini Enterprise Agent Platform) +19\n\n- Cloudflare AI Gateway (75): Router, scored on the API lines. Cloudflare's public OpenAPI 3.0.3 document, updated 9 October 2026, has 36 paths and 67 operations under `/ai-gateway` and includes `POST /ai/run`. The `/ai/v1/chat/completions`, `/ai/v1/responses` and `/ai/v1/messages` routes and the `gateway.ai.cloudflare.com` endpoints are not in it (20 of 25). An AI Gateway `llms.txt` and a Markdown copy of every page (10). Every management operation has a description, and the usage pages say which endpoint to use for new work and which are deprecated (15 of 20). Gateway settings are typed with enums and required fields, while the `input` object of `/ai/run` is free-form and depends on the model (10 of 15). Curl, SDK and Worker examples on most pages. No table of gateway error codes was found. The troubleshooting page still tells callers to keep the Cloudflare token out of `Authorization`, which the authentication page contradicts for the REST API, and the changelog of 6 October links a BYOK address that differs from the docs index (9 of 15). A dated changelog with RSS. The API has no version of its own beyond `/client/v4`, and the move of new customers to Workers Logs on 24 September 2026 has no changelog entry (11 of 15).\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### Security \u0026 auth: Vertex AI (Gemini Enterprise Agent Platform) +17\n\n- Cloudflare AI Gateway (80): Router, read on the model lines. Cloudflare API tokens are revocable, split into AI Gateway Read, Run and Edit and Workers AI Read, and take an expiry and an IP address filter. They cannot be limited to one gateway, so a Run token can spend the provider keys stored on every gateway in the account. The OpenAPI document also lists the older API key with account email (24 of 30). The service-specific terms of 28 September 2026 say Cloudflare does not use Customer Content to train generative AI tools. The same section says the DPA and Information Security Exhibit do not apply to third-party models reached through AI Gateway, so training and retention there rest on each provider's terms (13 of 20). Prompts and responses are logged by default. Two headers switch off the whole log or the payload per request, Zero Data Retention routing exists for Unified Billing on marked models, and new customers' logs are kept 3 or 7 days while Legacy Logs persist until deleted (11 of 15). Per-request logs carry prompt, response, tokens, cost and user agent, account audit logs record gateway creation, update and deletion, and Logpush and OpenTelemetry export exist (14 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 it is certified to ISO 27001 (since 2019, now 27001:2022), ISO 27018 and ISO 27701, with a scope of the Cloudflare global cloud platform, which doesn't name AI Gateway. 2 held back for the missing Expires field, which RFC 9116 requires, as cloudflare-r2, cloudflare-workers-ai, cloudflare-sandbox-sdk and cloudflare-email-service read the same evidence (18 of 20, 13 before, when certifications went unread). Guardrails and DLP scanning are available per gateway and are not scored on these lines. 24 + 13 + 11 + 14 + 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### Maintenance \u0026 community: Vertex AI (Gemini Enterprise Agent Platform) +16\n\n- Cloudflare AI Gateway (75): Router, read on the model lines. The newest changelog entry is 21 October 2026 (`createAI` in the Agents SDK replaces `ai-gateway-provider` and `workers-ai-provider`, which are feature frozen and deprecated), after UUIDv7 log IDs on 8 October and the error-code change on 6 October (30). No minimum notice for API changes was found. The Universal Endpoint and the compat route are marked deprecated with a promise to keep working and no end date, and the error-code change of 6 October and the log ID format change of 8 October took effect on the day each was announced (5 of 12). No gateway endpoint was shut down in the last 90 days that we found. Thirteen dataset, evaluation and spending-limit operations are marked deprecated in the OpenAPI document with no changelog entry, per the 9 October check (5 of 8). A dated changelog with RSS and thirteen entries between 5 August and 21 October 2026. The Discord community was not sampled (11 of 15). Replies on the SDK repositories were not examined (3 of 10). `cloudflare` for TypeScript 7.3.0 and Python 5.9.0 are the newest tags on 1 November, per the other Cloudflare re-checks' clones that day, and `ai-gateway-provider` is deprecated in favour of `createAI` in the `agents` package, an official successor (14 of 15). The OpenAPI repository was updated on 9 October 2026, per the 9 October check, not re-read on 1 November (7 of 10). 30 + 5 + 5 + 11 + 3 + 14 + 7 = 75.\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### Transparency \u0026 trust: Vertex AI (Gemini Enterprise Agent Platform) +16\n\n- Cloudflare AI Gateway (74): Closed service under the Self-Serve Subscription Agreement and service-specific terms with a section for Workers AI and AI Gateway. Each model page links the provider's terms, `ai-gateway-provider` is MIT and the OpenAPI repository is BSD-3-Clause (16 of 30). The service terms, the logging and Zero Data Retention pages, the DPA (version 6.4, 3 April 2026) and the privacy policy of 4 November 2025 were read. The privacy policy gives retention criteria, not periods. The terms take third-party models outside the DPA, while the sub-processor list names five model providers for AI Gateway, and the two are hard to square (17 of 30). No deprecation policy was found. Deprecated endpoints carry notices with no dates, and section 8 of the agreement lets Cloudflare modify or discontinue a service without notice (6 of 20). The sub-processor list, last updated 1 October 2025, names Google, Anthropic, OpenAI, xAI and Groq for AI Gateway with locations. The catalogue on 9 October 2026 also carries models from Alibaba, ByteDance, MiniMax and others that the list does not name (12 of 20). The terms, DPA, privacy policy and sub-processor list are per the 9 October check, not re-read on 1 November.\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 AI Gateway | Vertex AI (Gemini Enterprise Agent Platform) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 66 | 99 | Vertex AI (Gemini Enterprise Agent Platform) +33 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 75 | 94 | Vertex AI (Gemini Enterprise Agent Platform) +19 |\n| Agent ergonomics | 13% (16.2 this run) | 73 | 97 | Vertex AI (Gemini Enterprise Agent Platform) +24 |\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 AI Gateway +12 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 75 | 91 | Vertex AI (Gemini Enterprise Agent Platform) +16 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 74 | 90 | Vertex AI (Gemini Enterprise Agent Platform) +16 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **67.8 · B** | **88.7 · AA** | |\n\n## Facts side by side\n\n| Fact | Cloudflare AI Gateway | Vertex AI (Gemini Enterprise Agent Platform) |\n| --- | --- | --- |\n| Kind | Model router | 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 and its service-specific terms. Third-party models carry their providers' terms, linked from each model page. `ai-gateway-provider` is MIT and Cloudflare's 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 | 251k npm/wk | 20.9M PyPI/wk |\n| Agent reviews | 3/5 (4) | none |\n\n## How the scores have moved\n\n### Cloudflare AI Gateway\n\n- +0.9 on 1 November 2026: new evidence\n- +0.1 on 27 October 2026: checklist\n\n### Vertex AI (Gemini Enterprise Agent Platform)\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Cloudflare AI Gateway.** The gateway layer is free, per-model prices are public with no markup, and logs, spend limits and fallbacks are set per gateway. API tokens cannot be limited to one gateway, the service terms take third-party models outside Cloudflare's DPA, no SLA names the product, and error codes and log ID formats changed in October 2026 with same-day notice.\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 AI Gateway\n\n1. Use the REST API at `api.cloudflare.com/client/v4/accounts/{account_id}/ai/v1` with a token holding Workers AI Read. A token with only an AI Gateway permission returns 401 with code 10000\n2. Send `cf-aig-gateway-id` on every Workers AI (`@cf/`) call and on dynamic routes. Without it a dynamic route resolves against the default gateway and returns 404\n3. Set `cf-aig-collect-log: false` or `cf-aig-collect-log-payload: false` on sensitive requests. Logging of prompts and responses is on by default\n4. Treat a 429 as a rate limit or a spent budget and a 401 with code 2009 as a rejected provider key. Do not retry a 2009\n5. Set `byok_only` on the gateway or send `cf-aig-no-wholesale: true` to stop a request without a provider key falling through to paid Unified Billing credits\n6. Use `createAI` from the `agents` package for new AI SDK code. `ai-gateway-provider` is deprecated and gets no new work\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 AI Gateway or Vertex AI (Gemini Enterprise Agent Platform)?\n\nVertex AI (Gemini Enterprise Agent Platform) scores 88.7 (AA) on agent readiness against Cloudflare AI Gateway's 67.8 (B), and leads in 6 of 7 scored categories. Cloudflare AI Gateway leads on payments \u0026 pricing.\n\n### Do Cloudflare AI Gateway and Vertex AI (Gemini Enterprise Agent Platform) need an API key?\n\nCloudflare AI Gateway 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 AI Gateway and Vertex AI (Gemini Enterprise Agent Platform) without installing anything?\n\nYes. Cloudflare AI Gateway 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-ai-gateway-vs-vertex-ai.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-vertex-ai.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cloudflare-ai-gateway\", \"b\": \"vertex-ai\"}`. From a terminal: `anchor compare cloudflare-ai-gateway vertex-ai`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cloudflare-ai-gateway.json and https://www.anchorterminal.com/api/v1/tools/vertex-ai.json\n\n## Other comparisons with Cloudflare AI Gateway or Vertex AI (Gemini Enterprise Agent Platform)\n\n- [Amazon Bedrock vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-ai-gateway.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 AI Gateway](https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-ai-gateway.md)\n- [Claude API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/anthropic-api-vs-vertex-ai.md)\n- [Antseed vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/antseed-vs-vertex-ai.md)\n- [Azure OpenAI in Foundry Models vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-ai-gateway.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 AI Gateway](https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-ai-gateway.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 AI Gateway](https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-ai-gateway.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 Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-cohere-chat.md)\n- [Cloudflare AI Gateway vs DeepInfra](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-deepinfra.md)\n- [Cloudflare AI Gateway vs DeepSeek API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-deepseek-api.md)\n- [Cloudflare AI Gateway vs Eden AI](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-eden-ai.md)\n- [Cloudflare AI Gateway vs Glimpse](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-elorian-glimpse.md)\n- [Cloudflare AI Gateway vs Fireworks AI Inference](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-fireworks-inference.md)\n- [Cloudflare AI Gateway vs Gemini Developer API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-gemini-api.md)\n- [Cloudflare AI Gateway vs GroqCloud](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-groq.md)\n- [Cloudflare AI Gateway vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-hugging-face-inference-providers.md)\n- [Cloudflare AI Gateway vs Inkling 2 Small](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-inkling-2-small.md)\n- [Cloudflare AI Gateway vs Jais 3](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-jais-3.md)\n- [Cloudflare AI Gateway vs Meta Model API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-meta-model-api.md)\n- [Cloudflare AI Gateway vs MiniMax API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-minimax-api.md)\n- [Cloudflare AI Gateway vs Mistral AI API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-mistral-api.md)\n- [Cloudflare AI Gateway vs Muse Spark Open](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-muse-spark-open.md)\n- [Cloudflare AI Gateway vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-nemotron-3-5-super-vl.md)\n- [Cloudflare AI Gateway vs Novita AI](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-novita-ai.md)\n- [Cloudflare AI Gateway vs OpenAI API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-openai-api.md)\n- [Cloudflare AI Gateway vs OpenRouter](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-openrouter.md)\n- [Cloudflare AI Gateway vs Prism Inference](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference.md)\n- [Cloudflare AI Gateway vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-ramp-router.md)\n- [Cloudflare AI Gateway vs Beam 1.0](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-reflection-beam.md)\n- [Cloudflare AI Gateway vs RouterPlus](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-routerplus.md)\n- [Cloudflare AI Gateway vs 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Platform)](https://www.anchorterminal.com/compare/swe-2-flash-vs-vertex-ai.md)\n- [Tencent Cloud TokenHub vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/tencent-tokenhub-vs-vertex-ai.md)\n- [Together AI Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/together-inference-vs-vertex-ai.md)\n- [Vercel AI Gateway vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/vercel-ai-gateway-vs-vertex-ai.md)\n- [Vertex AI (Gemini Enterprise Agent Platform) vs xAI API (Grok)](https://www.anchorterminal.com/compare/vertex-ai-vs-xai-api.md)\n- [Antseed vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/antseed-vs-cloudflare-ai-gateway.md)\n- [Cloudflare AI Gateway vs LiteLLM](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-litellm.md)\n- [Nemotron 3.5 Super VL vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-vertex-ai.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-07", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Cloudflare AI Gateway vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "" } ], "description": "Vertex AI scores 88.7 (AA) to Cloudflare AI Gateway's 67.8 (B) for llm inference. 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