{ "data": { "a": { "slug": "cloudflare-workers-ai", "name": "Cloudflare Workers AI", "vendor": "Cloudflare, Inc.", "vendorUrl": "https://www.cloudflare.com", "kind": "model", "category": "inference", "summary": "Workers AI is Cloudflare's serverless inference service for open-weight models, covering text generation, embeddings, images and speech. Agents call it through the Cloudflare REST API, OpenAI-compatible endpoints or a Workers binding.", "url": "https://www.anchorterminal.com/tools/cloudflare-workers-ai", "markdownUrl": "https://www.anchorterminal.com/tools/cloudflare-workers-ai.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/cloudflare-workers-ai.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json", "dns": "cloudflare-workers-ai.grade.anchorterminal.com", "repo": "https://github.com/cloudflare/api-schemas", "license": "Proprietary service under Cloudflare's Self-Serve Subscription Agreement. Each hosted model carries its own open-weight licence, linked from its model page. The `cloudflare` SDKs are Apache-2.0, `workers-ai-provider` is MIT and the OpenAPI repository is BSD-3-Clause", "transports": [ "http" ], "remoteUrl": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai", "packages": [ { "registry": "npm", "name": "workers-ai-provider" }, { "registry": "npm", "name": "cloudflare" }, { "registry": "pypi", "name": "cloudflare" } ], "auth": "api-key", "authNotes": "A Cloudflare API token as a Bearer header, created by a person in the dashboard, with the Workers AI Read or Workers AI Edit permission on an account. Tokens can carry an expiry and an IP address filter. Inside a Worker the `AI` binding needs no token. The API reference also accepts the older global API key with an account email. Later tokens can be created through the API with an existing token.", "pricing": "freemium", "pricingNotes": "$0.011 per 1,000 neurons, shown per model as token, image or audio prices, for example Gemma 4 26B at $0.10 in and $0.30 out per 1M tokens. 10,000 neurons a day are free on the Workers Free and Paid plans, and going past that needs Workers Paid, from $5 a month. Eight frontier models need Workers Paid or prepaid AI Gateway credits. A Free plan account starts without a contract (https://developers.cloudflare.com/workers-ai/platform/pricing/, checked 2026-11-01).", "priceSummary": "from $0.0605 / 1M in", "where": "hosted", "x402": { "level": "partial", "evidence": "AI Gateway Machine Payments, in beta since 30 September 2026, takes x402 payment on `POST /ai/run` for four open models when the request carries `Payment-Method: x402`. It needs a Cloudflare API token, a United States account and a card on file. The per-model route `/ai/run/{model_name}` and the OpenAI-style routes are not covered. We did not call it (https://developers.cloudflare.com/ai-gateway/features/machine-payments/, checked 2026-10-09).", "endpoints": [ { "url": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai/run", "priceUsd": null, "network": "" } ] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": 379824, "pypiWeekly": null, "asOf": "2026-10-09" }, "docsUrl": "https://developers.cloudflare.com/workers-ai/", "rateLimitsUrl": "https://developers.cloudflare.com/workers-ai/platform/limits/", "llmsTxt": "https://developers.cloudflare.com/workers-ai/llms.txt", "openapi": "https://raw.githubusercontent.com/cloudflare/api-schemas/main/openapi.json", "capabilities": [ "inference.llm", "inference.open-weights", "embed.text", "rerank", "image.generate", "speech.stt", "speech.tts", "compute.batch" ], "tags": [ "hosted", "model", "open-weights", "usage-based", "free-tier", "x402", "openapi", "llms-txt", "openai-compatible", "batch", "prompt-caching", "typescript", "python", "go", "status-page", "bug-bounty" ], "lastRelease": "2026-10-21", "graded": true, "anchor": { "graded": true, "score": 69.2, "grade": "B", "agentReady": false, "rank": 256, "ranked": true, "rankOf": 1515, "categoryRank": 10, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 72, "payments": 52, "reliability": 68, "schema": 80, "security": 80, "transparency": 76 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -3, "negativeNotes": [ "28 July 2026. Kimi K2.6, Kimi K2.7 Code and GLM-5.2 began returning 403 (code 5035) on the Workers Free plan on the day of the notice, with no advance warning found. Three points (https://developers.cloudflare.com/changelog/post/2026-07-28-models-require-workers-paid/)." ], "verdict": "Per-model prices, rate limits and JSON Schemas are public, 10,000 neurons a day are free, and x402 payment is in beta on `/ai/run` for four models. No SLA was found, three models moved to paid-only access on 28 July 2026 with no notice, and the REST quick start still uses a model retired in May.", "bestFor": "Agents that already run on Cloudflare Workers, or that want open-weight chat, embedding, reranking, speech and image models behind one token with a free daily allowance.", "strengths": [ "Per-model token prices, cached-input prices and neuron rates are published without a login, with 10,000 neurons a day free on the Workers Free plan", "x402 payment (Machine Payments, beta since 30 September 2026) works on `POST /ai/run` for four open models", "Rate limits are published per task type, and a 429 separates a spent free allocation (3036) from capacity (3040)", "API tokens are limited to Workers AI permissions on an account, with optional expiry and IP address filtering", "Cloudflare states ISO 27001, 27018 and 27701 certification for its global cloud platform, and security.txt points to a HackerOne programme" ], "weaknesses": [ "No SLA for Workers AI was found in the docs or the agreements read", "Three models moved to paid-only access on 28 July 2026, the day of the notice, and Free plan calls to them return 403", "Eighteen models were retired on 30 May 2026 with 22 days' notice, and no minimum notice period is published", "The REST quick start and the OpenAI-compatibility page still name `@cf/meta/llama-3.1-8b-instruct`, which is on the 30 May 2026 retirement list", "The x402 route still needs a Cloudflare API token, a United States account and a card on file" ], "agentNotes": [ "Check the model page before calling. Eight models need Workers Paid or AI Gateway credits and return 403 with code 5035 on the Free plan", "Read the internal code on a 429. 3036 means the day's 10,000 free neurons are spent until 00:00 UTC, 3040 means capacity, so retry later", "Set `options.rejectIfBusy` to fail fast, or add `?queueRequest=true` for the batch route when the answer can wait", "Send the same `x-session-affinity` value on every turn of a session to reach the prefix cache and the cached-input price", "Use `createAI` from `agents/models/ai-sdk` for the Vercel AI SDK. `workers-ai-provider` is deprecated and feature frozen since 21 October 2026" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69.2 } ], "editorialScores": { "ergonomics": 75, "maintenance": 72, "payments": 52, "reliability": 68, "schema": 80, "security": 80, "transparency": 56 }, "provenanceScore": 96, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run/@cf/google/gemma-4-26b-a4b-it \\\n -X POST \\\n -H \"Authorization: Bearer $CLOUDFLARE_AUTH_TOKEN\" \\\n -d '{ \"messages\": [{ \"role\": \"system\", \"content\": \"You are a friendly assistant\" }, { \"role\": \"user\", \"content\": \"Why is pizza so good\" }]}'", "x402": "curl -iX POST \"https://api.cloudflare.com/client/v4/accounts/$CLOUDFLARE_ACCOUNT_ID/ai/run\" \\\n --header \"Authorization: Bearer $CLOUDFLARE_API_TOKEN\" \\\n --header \"Payment-Method: x402\" \\\n --header \"Content-Type: application/json\" \\\n --data '{\"model\":\"z-ai/glm-4.7-flash\",\"input\":{\"messages\":[{\"role\":\"user\",\"content\":\"What is Cloudflare?\"}]}}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/cloudflare-workers-ai" }, "sameCompany": [ "cloudflare-ai-gateway", "cloudflare-sandbox-sdk", "cloudflare-workers-oauth-provider", "cloudflare-web-search", "cloudflare-clairic", "cloudflare-ai-search", "cloudflare-cli", "cloudflare-mcp", "cloudflare-email-service", "cloudflare-r2", "cloudflare-clef" ], "area": "models", "unitPrices": [ { "item": "Whisper large v3 turbo, speech to text", "unit": "audio-minute", "usd": 0.0005, "note": "46.63 neurons" }, { "item": "Deepgram Nova-3, speech to text", "unit": "audio-minute", "usd": 0.0052, "note": "472.73 neurons. $0.0092 over WebSocket" }, { "item": "Deepgram Aura-1, text to speech", "unit": "1m-chars", "usd": 15, "note": "listed as $0.015 per 1,000 characters" }, { "item": "Deepgram Aura-2, text to speech", "unit": "1m-chars", "usd": 30, "note": "listed as $0.030 per 1,000 characters, English and Spanish" } ], "provenance": { "legalEntity": "Cloudflare, Inc.", "domain": "cloudflare.com", "domainRegistered": "2009-02-17", "endpointOnVendorDomain": true, "terms": "https://www.cloudflare.com/terms/", "privacy": "https://www.cloudflare.com/privacypolicy/", "statusPage": "https://www.cloudflarestatus.com", "changelog": "https://developers.cloudflare.com/changelog/product/workers-ai/", "securityTxt": "valid", "checked": "2026-11-01", "notes": [ "Terms are the Self-Serve Subscription Agreement, last updated 12 September 2025, which names Cloudflare, Inc. at 101 Townsend St, San Francisco. The Workers AI data usage page cites it and the Enterprise Subscription Agreement as the governing documents.", "The service-specific terms (https://www.cloudflare.com/service-specific-terms-developer-platform/), last updated 28 September 2026, have a section for Workers AI and AI Gateway that supplements the agreement.", "The privacy policy is effective from 4 November 2025.", "www.cloudflare.com/.well-known/security.txt, re-read on 1 November 2026, names HackerOne and a disclosure policy and has no Expires field. It is recorded as valid to match the other Cloudflare listings.", "The endpoint is on api.cloudflare.com.", "The status page lists Workers AI as its own component. Its only incident from 16 to 31 October 2026 had impact none.", "RDAP for cloudflare.com gives a registration date of 2009-02-17.", "The Workers AI changelog page (https://developers.cloudflare.com/workers-ai/changelog/) still stops at 16 June 2026 on 1 November, so the product changelog is recorded." ], "score": 96 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/cloudflare-workers-ai.json", "live": { "slug": "cloudflare-workers-ai", "probe": { "target": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai", "method": "get", "lastAt": "2026-11-08T12:33:04.046828663Z", "lastOk": true, "lastStatus": 404, "lastMs": 22, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 18, "p95ms24h": 64, "samples24h": 242, "samples30d": 7388, "days": [ { "date": "2026-10-09", "probes": 85, "ok": 85 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 249, "ok": 249 }, { "date": "2026-10-30", "probes": 248, "ok": 248 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 243, "ok": 243 }, { "date": "2026-11-08", "probes": 127, "ok": 127 } ], "since": "0001-01-01T00:00:00Z" }, "vendorStatus": { "page": "https://www.cloudflarestatus.com", "indicator": "major", "summary": "Partial System Outage", "checkedAt": "2026-11-09T20:45:55.370724465Z" }, "versions": [ { "registry": "npm", "name": "cloudflare", "version": "7.3.0", "seenAt": "2026-11-09T02:07:37.958785906Z" }, { "registry": "npm", "name": "workers-ai-provider", "version": "4.0.1", "seenAt": "2026-11-09T02:07:37.58732072Z" }, { "registry": "pypi", "name": "cloudflare", "version": "5.10.0", "released": "2026-11-05", "seenAt": "2026-11-09T02:07:39.614399358Z" } ], "githubStars": 202, "npmWeekly": 652033, "pypiWeekly": 612657, "securityTxt": { "url": "https://cloudflare.com/.well-known/security.txt", "state": "valid", "checkedAt": "2026-11-09T16:06:19.322037711Z" }, "llmsTxt": { "url": "https://developers.cloudflare.com/workers-ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-09T15:39:13.313749448Z" }, "domain": { "domain": "cloudflare.com", "registered": "2009-02-17", "source": "https://rdap.verisign.com/com/v1/domain/cloudflare.com", "checkedAt": "2026-11-08T14:52:51.11924704Z" }, "pages": [ { "url": "https://developers.cloudflare.com/changelog/product/workers-ai/", "kind": "changelog", "status": 200, "checkedAt": "2026-10-19T23:54:54.235989073Z", "changedAt": "2026-10-19T23:54:54.235989073Z", "fingerprint": "4c2480e76a2d" }, { "url": "https://developers.cloudflare.com/changelog/post/2026-05-08-planned-model-deprecations/", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-09T15:35:11.061409872Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "456d5c31e53a" }, { "url": "https://developers.cloudflare.com/changelog/post/2026-07-28-models-require-workers-paid/", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-09T15:35:13.042687531Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "23663c817503" } ], "github": { "repo": "cloudflare/api-schemas", "checkedAt": "2026-11-09T10:15:29.419823449Z", "stars": 202, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-09T09:47:49Z", "openIssues": 15, "openPRs": 1, "issuesOpened90d": 12, "issuesClosed90d": 1, "prsMerged90d": 0, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-11-09T09:48:19Z" }, "replies": { "sampled": 16, "unanswered": 15, "medianDays": 0 } }, "updatedAt": "2026-11-09T20:45:55.370724465Z" }, "streak": { "days": 0, "from": "2026-11-09", "sinceWatching": true, "last": { "kind": "breaking", "date": "2026-07-28", "what": "`@cf/moonshotai/kimi-k2.6`, `@cf/moonshotai/kimi-k2.7-code` and `@cf/zai-org/glm-5.2` need the Workers Paid plan", "source": "https://developers.cloudflare.com/changelog/post/2026-07-28-models-require-workers-paid/" }, "best": 0 } }, "answer": "Cloudflare Workers AI scores 69.2 (B) on agent readiness against Muse Ember's 51.8 (D), and leads in every scored category.", "b": { "slug": "muse-ember", "name": "Muse Ember", "vendor": "Meta", "vendorUrl": "https://dev.meta.ai", "kind": "model", "category": "inference", "summary": "Muse Ember is Meta's smallest and most efficient hosted model, built for sub-agent tasks, tool calls, routing and work over large collections of files and images, taking text, images, video, audio and PDF with a 1M-token context.", "url": "https://www.anchorterminal.com/tools/muse-ember", "markdownUrl": "https://www.anchorterminal.com/tools/muse-ember.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/muse-ember.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/muse-ember.json", "dns": "muse-ember.grade.anchorterminal.com", "license": "Closed model, used through Meta Model API and Muse Code under the Meta Model API Terms of Service (last updated 9 October 2026). No open weights; Meta's open-weight models are Muse Spark Open and Muse Glimmer", "transports": [], "remoteUrl": "https://api.meta.ai/v1", "packages": [], "auth": "api-key", "authNotes": "A bearer key from the API keys tab of the Model API dashboard, read from MODEL_API_KEY in Meta's examples, after a browser sign-up with email, mobile number, Facebook, Google or GitHub. Keys belong to a team and share its limits, with no scopes found, per the meta-model-api listing.", "pricing": "usage", "pricingNotes": "$0.10 per million input tokens, $0.004 cached and $0.50 output for requests up to 200K input tokens, and $0.30, $0.012 and $1.50 for the whole request above that. Standard mode only, no Contributor discount. Web search grounding $2.50 per 1,000 queries. Included in every Muse Code plan. No free API allowance found (checked 2026-11-09).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on Meta's pricing page, which bills tokens to a team account with a card (checked 2026-11-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-09" }, "docsUrl": "https://dev.meta.ai/docs/muse-ember", "llmsTxt": "https://dev.meta.ai/llms.txt", "capabilities": [ "inference.llm" ], "tags": [ "official", "hosted", "model", "multimodal", "vision", "reasoning", "long-context", "tool-calling", "openai-compatible", "anthropic-compatible", "usage-priced", "card-required", "closed-source", "llms-txt", "new" ], "lastRelease": "2026-11-09", "graded": true, "anchor": { "graded": true, "score": 51.8, "grade": "D", "agentReady": false, "rank": 1017, "ranked": true, "rankOf": 1515, "categoryRank": 36, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 72, "maintenance": 46, "payments": 20, "reliability": 40, "schema": 60, "security": 64, "transparency": 53 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-09" }, "negative": 0, "verdict": "A cheap, capable model for the repeated parts of agent work, at $0.10 and $0.50 per million tokens with a 1M context and Meta's figures putting it level with Claude Haiku 5.5 on fewer tokens. Launched today on an API with no readable status page, SLA or deprecation policy, and closed, with no weights.", "bestFor": "Agents that hand out many small, bounded tasks (sub-agents, tool loops, routing, extraction over thousands of files) and want a cheap multimodal model with a 1M context behind the same API as a bigger Muse model.", "strengths": [ "$0.10 input, $0.004 cached and $0.50 output per million tokens up to 200K input, published without a login", "Text, image, video, audio and PDF in, a 1,048,576-token context and up to 524,288 output tokens", "The same request body as Muse Spark and Muse Wonder on Responses, Chat Completions and Messages endpoints", "Tool calling, structured output, computer use and search grounding", "Reasoning effort from minimal to max, with clear guidance on what to hand it and what not to", "3,000 requests and 4,000,000 tokens a minute per team, published" ], "weaknesses": [ "No weights and no parameter count published, so it can't be run locally", "Requests over 200K input tokens are billed at three times the rate for the whole request", "Default reasoning effort is max, which spends output tokens on simple routing calls unless set lower", "No readable status page, SLA, deprecation policy or API changelog, per the meta-model-api listing", "Benchmark and cost figures are Meta's own, several on internal benchmarks" ], "agentNotes": [ "Call https://api.meta.ai/v1/responses (or /chat/completions or /messages) with model muse-ember-1.0 and a bearer MODEL_API_KEY", "Set the effort explicitly, reasoning.effort on Responses or reasoning_effort on Chat Completions. It defaults to max, and none isn't accepted; minimal or low suits classification and routing", "Keep input under 200K tokens a request, cached tokens and previous_response_id history included, or the whole request bills at the long-context rate", "Use it for sub-agents and bounded repeated tasks, and a larger Muse model for the plan, as Meta advises", "Use strict structured output for extraction and routing steps", "In Claude Code, map the haiku alias and sub-agent model to muse-ember-1.0, per Meta's guide" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 51.8 } ], "editorialScores": { "ergonomics": 72, "maintenance": 46, "payments": 20, "reliability": 40, "schema": 60, "security": 64, "transparency": 41 }, "provenanceScore": 64, "checked": { "categories": { "ergonomics": "2026-11-09", "maintenance": "2026-11-09", "payments": "2026-11-09", "reliability": "2026-11-09", "schema": "2026-11-09", "security": "2026-11-09", "transparency": "2026-11-09" }, "last": "2026-11-09", "oldest": "2026-11-09", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl -X POST \"https://api.meta.ai/v1/responses\" \\\n -H \"Authorization: Bearer $MODEL_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\n \"model\": \"muse-ember-1.0\",\n \"input\": \"Classify this support ticket as billing, bug, or feature request.\",\n \"reasoning\": {\"effort\": \"low\"}\n}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/muse-ember" }, "sameCompany": [ "muse-spark-open", "muse-code", "muse-glimmer-30b" ], "sameModel": [ "meta-model-api" ], "area": "models", "unitPrices": [ { "item": "Muse Ember input", "unit": "1m-tokens", "usd": 0.1, "note": "Up to 200K input tokens a request; $0.30 above, for the whole request" }, { "item": "Muse Ember cached input", "unit": "1m-tokens", "usd": 0.004, "note": "$0.012 above 200K input tokens" }, { "item": "Muse Ember output", "unit": "1m-tokens", "usd": 0.5, "note": "$1.50 above 200K input tokens" } ], "provenance": { "legalEntity": "Meta Platforms, Inc.", "domain": "meta.ai", "domainRegistered": "2017-12-16", "endpointOnVendorDomain": true, "terms": "https://dev.meta.ai/legal/terms-of-service", "privacy": "https://www.facebook.com/privacy/policy/", "statusPage": "", "changelog": "", "securityTxt": "none", "checked": "2026-11-09", "notes": [ "Company and platform facts are the meta-model-api listing's (checked 4 November 2026): Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, under the 9 October 2026 terms; no readable status page; no Model API changelog; no security.txt on dev.meta.ai.", "dev.meta.ai's and research.meta.ai's robots.txt allow our reader on the pages read on 9 November. domainRegistered is carried from the meta-model-api listing's RDAP reading." ], "score": 64 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/muse-ember.json", "live": { "slug": "muse-ember", "probe": { "target": "https://api.meta.ai/v1", "method": "get", "lastAt": "2026-11-09T20:50:02.257490788Z", "lastOk": true, "lastStatus": 404, "lastMs": 46, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 48, "p95ms24h": 72, "samples24h": 10, "samples30d": 10, "days": [ { "date": "2026-11-09", "probes": 10, "ok": 10 } ], "since": "2026-11-09T19:55:51.172718582Z" }, "updatedAt": "2026-11-09T20:50:02.257490788Z" }, "streak": { "days": 0, "from": "2026-11-09", "sinceWatching": true, "best": 0 } }, "edges": [ { "by": 32, "category": "payments", "leads": "cloudflare-workers-ai", "name": "Payments \u0026 pricing", "reasons": { "a": "x402 is in beta on `POST /ai/run` since 30 September 2026 for four of 69 models. It still needs a Cloudflare API token, a United States account and a card on file, and the per-model and OpenAI-style routes are not covered. We did not call it (12 of 40). Per-model token, image and audio prices and the neuron rate are published without a login (20). 10,000 neurons a day are free on the Workers Free plan, and the pricing page asks for a paid plan only past that. We did not sign up to confirm that no card is asked for (20). A person creates the account and the first token in a browser, and the x402 route needs both (0). The Machine Payments page (last updated 30 September) and the pricing page (20 October) were re-read on 1 November and say the same. 12 + 20 + 20 + 0 = 52.", "b": "Published rubric. No payment protocol (0). Per-token prices for both tiers published without a login, read 9 November (20). No free API allowance found; billing needs a card, per the platform reading (0). Browser sign-up (0). 0 + 20 + 0 + 0 = 20." }, "scores": { "a": 52, "b": 20 } }, { "by": 28, "category": "reliability", "leads": "cloudflare-workers-ai", "name": "Reliability", "reasons": { "a": "Hosted reading. www.cloudflarestatus.com is a Statuspage with Workers AI, AI Gateway and API as separate components (20). The incidents feed read on 9 October held 50 incidents from 21 September to 8 October 2026, none naming Workers AI or AI Gateway. The feed read on 1 November holds 50 incidents from 16 to 31 October. Workers AI is listed only in \"Issues with AI Security for Apps\" on 27 October, intermittent failures in unsafe topic detection with impact none, resolved after 38 minutes. The 23 October network incident, labelled major, describes some traffic between Ashburn and Atlanta and some customers in North America, so it reads as partial, as this run's other Cloudflare re-checks read regional incidents. The history page loads by script, so 3 August to 20 September and 9 to 15 October went unread. The 28 July changelog that cited 429 and 3040 capacity errors has left the 90 days, so the line is 12 of 30 (10 before), as cloudflare-r2 and cloudflare-mcp read the same page with an unread stretch on 1 November. Limits are published per task type, 300 requests a minute for text generation and 20 or 50 a minute per paid model, unchanged since 17 September (15). A 429 carries code 3036 for a spent free allocation or 3040 for capacity, `rejectIfBusy` fails fast, the batch route queues work, and the Cloudflare API returns `retry-after` and `Ratelimit` headers for its own limit. No `Retry-After` or backoff figures were found for a 3040 (11 of 15). No SLA for Workers AI was found. The legal index names only an enterprise support and SLA page, which we did not read (0). The limits page says Workers AI is generally available, with lower limits possible on beta models (10). 20 + 12 + 15 + 11 + 0 + 10 = 68.", "b": "Model reading, for the surface it's called on, Meta Model API. No status page with readable history, per the meta-model-api listing's 4 November check (0), so no readable incident history (5). Rate limits published per team and per model, 3,000 RPM and 4,000,000 TPM for muse-ember-1.0, read 9 November (15). 429 and 503 with Retry-After, backoff guidance and rate-limit headers, per the meta-model-api listing (15). No SLA found (0). Muse Ember carries no preview label, but the API opened as a public preview in July and no general-availability notice was found, so half, as for the platform (5). 0 + 5 + 15 + 15 + 0 + 5 = 40." }, "scores": { "a": 68, "b": 40 } }, { "by": 26, "category": "maintenance", "leads": "cloudflare-workers-ai", "name": "Maintenance \u0026 community", "reasons": { "a": "Model reading. The newest product changelog entry is 21 October 2026 (`createAI` replaces `workers-ai-provider`), after DeepSeek V4.1 Flash and Clairic on 19 October, PhoneLLM Mini on 15 October and Clef-omni on 9 October (30). No minimum notice for model changes was found. The notice of 8 May 2026 retired 18 models 22 days later, and a notice of 18 September 2025 retired models 13 days later (5 of 12). Eighteen models went on 30 May 2026, one aliased to a pricier successor. No retirement was announced between 9 October and 1 November (3 of 8). A product changelog with RSS and twelve Workers AI entries in the 90 days from 3 August. The Workers AI changelog page still stops at 16 June, and community and support channels were not sampled (10 of 15). Replies on the SDK repositories were not examined (3 of 10). `cloudflare` for TypeScript 7.3.0 and Python 5.9.0 (tagged 2 October 2026) are still the newest tags on 1 November. `workers-ai-provider` 4.0.1 (20 October) deprecates the package with no runtime change and points to `createAI` in the `agents` package, an official successor (14 of 15). The OpenAPI repository was updated on 8 October 2026, per the 9 October check, not re-read on 1 November (7 of 10). 30 + 5 + 3 + 10 + 3 + 14 + 7 = 72.", "b": "Model reading. Released 9 November 2026 (30). No deprecation policy or notice period found, per the platform reading (0 of 12). Dated launches on the API, the latest Muse Wonder on 12 October and Muse Ember on 9 November (8 of 8). No Model API changelog; a help centre with tickets (8 of 15). No SDK of Meta's own (0 of 15, 0 of 10). 30 + 0 + 8 + 8 + 0 = 46." }, "scores": { "a": 72, "b": 46 } }, { "by": 23, "category": "transparency", "leads": "cloudflare-workers-ai", "name": "Transparency \u0026 trust", "reasons": { "a": "Closed service under the Self-Serve Subscription Agreement and service-specific terms with a Workers AI section. The hosted models are open-weight with licence links on their pages, and the SDKs are Apache-2.0 and MIT (18 of 30). The data usage page, the service-specific terms and the privacy policy of 4 November 2025 agree on ownership and no training. The privacy policy gives retention criteria, not periods, the two documents differ on use to improve services, and the DPA the terms link was not read (20 of 30). No deprecation policy was found. The changelog posts dated notices, among them the 21 October deprecation of `workers-ai-provider` with no end date, and section 8 of the agreement lets Cloudflare modify or discontinue a service without notice (8 of 20). A sub-processor page exists and links a list for Cloudflare services, which we did not read. Model pages are tagged Cloudflare-hosted, and where a request runs is not stated beyond Cloudflare's network (10 of 20). 18 + 20 + 8 + 10 = 56.", "b": "Editorial half. Closed model under the Model API terms, with clear terms and law; no weights and no parameter count, unlike Muse Spark Open and Muse Glimmer (15). Standard content isn't used for training, retention periods not stated outside zero retention (18 of 30). No deprecation policy or dated notices (0). A subprocessor list linked but not read, no data locations (8 of 20). 15 + 18 + 0 + 8 = 41." }, "scores": { "a": 76, "b": 53 } }, { "by": 20, "category": "schema", "leads": "cloudflare-workers-ai", "name": "Schema \u0026 documentation", "reasons": { "a": "Model reading, scored on the API lines. Cloudflare's public OpenAPI 3.0.3 document, updated 8 October 2026, has 14 paths and 15 operations under `/ai/`. `/ai/run/{model_name}` takes 13 input shapes by task and lists only 200 and 400 responses, and the OpenAI-style `/ai/v1/` routes are not in it. Each model page links JSON Schemas for input and output, and `GET /ai/models/schema` returns them (22 of 25). `llms.txt` for Workers AI and a Markdown copy of every page (10). Model pages give a description, capability tags, context window and price, and the batch, caching and reject-busy pages say when to use each. Nothing says when not to pick a model (14 of 20). Parameters are typed with defaults, enums and nullability on the model pages (12 of 15). TypeScript, Python and curl examples on every model page and a table of 17 error codes with HTTP statuses. The quick start and the OpenAI page still use `@cf/meta/llama-3.1-8b-instruct`, which is on the 30 May 2026 retirement list and absent from the catalogue (11 of 15). A dated product changelog with RSS. Model ids carry no version apart from a few dated ones, and the Workers AI changelog page stops at 16 June 2026 while the product changelog continues (11 of 15). The OpenAPI document was not re-read on 1 November. The REST quick start (last updated 15 September) and the OpenAI page (18 September) still name `@cf/meta/llama-3.1-8b-instruct` on 1 November, and the error table still has 17 codes.", "b": "Model reading. No OpenAPI file; the Markdown reference is the contract, per the meta-model-api listing (0). llms.txt and Markdown copies of every page (10). The Muse Ember page and choose-a-model page say what to hand it and what not to (hard single-shot coding, knowledge-heavy questions, visual coding), with model ID, inputs, context, max output and effort range (18 of 20). JSON Schema tools and output, reasoning effort an enum, per the platform reading (12 of 15). Curl, Python and TypeScript examples and the platform's error guide (15). A versioned model ID and a dated launch post, with no API changelog (5 of 15). 0 + 10 + 18 + 12 + 15 + 5 = 60." }, "scores": { "a": 80, "b": 60 } }, { "by": 16, "category": "security", "leads": "cloudflare-workers-ai", "name": "Security \u0026 auth", "reasons": { "a": "Model reading. Cloudflare API tokens are revocable, limited to Workers AI Read or Edit on chosen accounts, and take an expiry and an IP address filter. Permission is per account, not per model, and the API reference also accepts the older global API key (27 of 30). The data usage page and the service-specific terms of 28 September 2026 say Customer Content is not used to train models without consent. The data page adds that it is not used to improve services, while clause 9 of the same terms section allows use as needed to provide and improve the Services (17 of 20). The data page says content may be stored if a storage service is used with Workers AI. It gives no retention period for inference inputs and no explicit zero-retention statement, and AI Gateway logs prompts and responses by default when a call is routed through a gateway (9 of 15). Gateway logs record prompt, response, tokens and cost per request, and the dashboard shows neuron usage. Direct calls have no per-request log that we found, and account audit logs were not read this run (9 of 15). security.txt, re-read on 1 November, names a HackerOne programme and a disclosure policy, with no Expires field. Cloudflare's ISO certifications page, read on 1 November, says Cloudflare is certified to ISO 27001 (since 2019, now to its 2022 edition), ISO 27018 and ISO 27701, with a scope of the Cloudflare global cloud platform, which doesn't name Workers AI. 2 held back for the missing Expires field, which RFC 9116 requires, the reading cloudflare-r2 gave the same evidence on 1 November (18 of 20, 15 before, when certifications went unread). 27 + 17 + 9 + 9 + 18 = 80.", "b": "Platform readings are the meta-model-api listing's of 4 November. Team keys, named, revocable, no scopes (20 of 30). Standard mode only, so content isn't used to train Meta models under the terms, with safety use reserved (17 of 20). Retention 'as needed' with zero retention through sales (10 of 15). Usage dashboard by model, no per-call log (5 of 15). No security.txt on dev.meta.ai, a bug bounty and a security commitments page, no named certification (12 of 20). 20 + 17 + 10 + 5 + 12 = 64." }, "scores": { "a": 80, "b": 64 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Cloudflare, Inc.", "b": "Meta", "name": "Vendor" }, { "a": "https://api.cloudflare.com/client/v4/accounts/{account_id}/ai", "b": "https://api.meta.ai/v1", "name": "Hosted endpoint" }, { "a": "HTTP", "b": "", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "on some endpoints", "b": "no", "name": "x402" }, { "a": "Proprietary service under Cloudflare's Self-Serve Subscription Agreement. Each hosted model carries its own open-weight licence, linked from its model page. The `cloudflare` SDKs are Apache-2.0, `workers-ai-provider` is MIT and the OpenAPI repository is BSD-3-Clause", "b": "Closed model, used through Meta Model API and Muse Code under the Meta Model API Terms of Service (last updated 9 October 2026). No open weights; Meta's open-weight models are Muse Spark Open and Muse Glimmer", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-21", "b": "2026-11-09", "name": "Last release" }, { "a": "2025-09-12", "b": "2026-10-02", "name": "Terms last updated" }, { "a": "no date given", "b": "couldn't be read", "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": "yes", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "380k npm/wk", "b": "none", "name": "Popularity" }, { "a": "3/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "Cloudflare Workers AI scores 69.2 (B) on agent readiness against Muse Ember's 51.8 (D), and leads in every scored category.", "question": "Which is better for AI agents, Cloudflare Workers AI or Muse Ember?" }, { "answer": "Both need an API key.", "question": "Do Cloudflare Workers AI and Muse Ember need an API key?" }, { "answer": "Yes. Cloudflare Workers AI has a hosted endpoint at https://api.cloudflare.com/client/v4/accounts/{account_id}/ai and Muse Ember at https://api.meta.ai/v1.", "question": "Can an agent call Cloudflare Workers AI and Muse Ember without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 68 against 40", "Schema \u0026 documentation, 80 against 60", "Security \u0026 auth, 80 against 64", "Payments \u0026 pricing, 52 against 20", "Maintenance \u0026 community, 72 against 46", "Transparency \u0026 trust, 76 against 53" ], "also": null, "goodFor": "Agents that already run on Cloudflare Workers, or that want open-weight chat, embedding, reranking, speech and image models behind one token with a free daily allowance.", "slug": "cloudflare-workers-ai", "watchFor": "No SLA for Workers AI was found in the docs or the agreements read" }, { "aheadOn": null, "also": [ "No incidents deducted, where Cloudflare Workers AI loses 3 points for them" ], "goodFor": "Agents that hand out many small, bounded tasks (sub-agents, tool loops, routing, extraction over thousands of files) and want a cheap multimodal model with a 1M context behind the same API as a bigger Muse model.", "slug": "muse-ember", "watchFor": "No weights and no parameter count published, so it can't be run locally" } ], "history": { "cloudflare-workers-ai": [ { "causes": [ "evidence", "time" ], "date": "2026-11-01", "delta": 0.9, "from": 68.3, "fromGrade": "B", "to": 69.2, "toGrade": "B" } ], "muse-ember": null }, "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-workers-ai.json", "title": "Amazon Bedrock vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-muse-ember.json", "title": "Amazon Bedrock vs Muse Ember", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai.json", "title": "Claude API vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-muse-ember.json", "title": "Claude API vs Muse Ember", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai.json", "title": "Antseed vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-muse-ember.json", "title": "Antseed vs Muse Ember", "url": "https://www.anchorterminal.com/compare/antseed-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai.json", "title": "Azure OpenAI in Foundry Models vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/azure-openai-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/azure-openai-vs-muse-ember.json", "title": "Azure OpenAI in Foundry Models vs Muse Ember", "url": "https://www.anchorterminal.com/compare/azure-openai-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai.json", "title": "BlockRun.AI vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-ember.json", "title": "BlockRun.AI vs Muse Ember", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai.json", "title": "Cerebras Inference vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-ember.json", "title": "Cerebras Inference vs Muse Ember", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-ember" }, { "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-muse-ember.json", "title": "Cloudflare AI Gateway vs Muse Ember", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat.json", "title": "Cloudflare Workers AI vs Cohere Chat API (Command models)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-cohere-chat" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra.json", "title": "Cloudflare Workers AI vs DeepInfra", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepseek-api.json", "title": "Cloudflare Workers AI vs DeepSeek API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepseek-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai.json", "title": "Cloudflare Workers AI vs Eden AI", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-eden-ai" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse.json", "title": "Cloudflare Workers AI vs Glimpse", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-elorian-glimpse" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-fireworks-inference.json", "title": "Cloudflare Workers AI vs Fireworks AI Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-fireworks-inference" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-api.json", "title": "Cloudflare Workers AI vs Gemini Developer API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-gemini-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-groq.json", "title": "Cloudflare Workers AI vs GroqCloud", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-groq" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-hugging-face-inference-providers.json", "title": "Cloudflare Workers AI vs Hugging Face Inference Providers", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-hugging-face-inference-providers" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small.json", "title": "Cloudflare Workers AI vs Inkling 2 Small", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-inkling-2-small" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3.json", "title": "Cloudflare Workers AI vs Jais 3", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-jais-3" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api.json", "title": "Cloudflare Workers AI vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-minimax-api.json", "title": "Cloudflare Workers AI vs MiniMax API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-minimax-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-mistral-api.json", "title": "Cloudflare Workers AI vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-spark-open.json", "title": "Cloudflare Workers AI vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-nemotron-3-5-super-vl.json", "title": "Cloudflare Workers AI vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-novita-ai.json", "title": "Cloudflare Workers AI vs Novita AI", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openai-api.json", "title": "Cloudflare Workers AI vs OpenAI API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openrouter.json", "title": "Cloudflare Workers AI vs OpenRouter", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference.json", "title": "Cloudflare Workers AI vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-ramp-router.json", "title": "Cloudflare Workers AI vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-reflection-beam.json", "title": "Cloudflare Workers AI vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-routerplus.json", "title": "Cloudflare Workers AI vs RouterPlus", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-sambanova.json", "title": "Cloudflare Workers AI vs SambaCloud", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow.json", "title": "Cloudflare Workers AI vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-simplismart.json", "title": "Cloudflare Workers AI vs Simplismart", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api.json", "title": "Cloudflare Workers AI vs StepFun API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-swe-2-flash.json", "title": "Cloudflare Workers AI vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-tencent-tokenhub.json", "title": "Cloudflare Workers AI vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference.json", "title": "Cloudflare Workers AI vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vercel-ai-gateway.json", "title": "Cloudflare Workers AI vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai.json", "title": "Cloudflare Workers AI vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-xai-api.json", "title": "Cloudflare Workers AI vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-xai-api" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-muse-ember.json", "title": "Cohere Chat API (Command models) vs Muse Ember", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/deepinfra-vs-muse-ember.json", "title": "DeepInfra vs Muse Ember", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-muse-ember.json", "title": "DeepSeek API vs Muse Ember", "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/eden-ai-vs-muse-ember.json", "title": "Eden AI vs Muse Ember", "url": "https://www.anchorterminal.com/compare/eden-ai-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-ember.json", "title": "Glimpse vs Muse Ember", "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-ember.json", "title": "Fireworks AI Inference vs Muse Ember", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/gemini-api-vs-muse-ember.json", "title": "Gemini Developer API vs Muse Ember", "url": "https://www.anchorterminal.com/compare/gemini-api-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/groq-vs-muse-ember.json", "title": "GroqCloud vs Muse Ember", "url": "https://www.anchorterminal.com/compare/groq-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-muse-ember.json", "title": "Hugging Face Inference Providers vs Muse Ember", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-ember.json", "title": "Inkling 2 Small vs Muse Ember", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-muse-ember.json", "title": "Jais 3 vs Muse Ember", "url": "https://www.anchorterminal.com/compare/jais-3-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-muse-ember.json", "title": "Meta Model API vs Muse Ember", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/minimax-api-vs-muse-ember.json", "title": "MiniMax API vs Muse Ember", "url": "https://www.anchorterminal.com/compare/minimax-api-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-muse-ember.json", "title": "Mistral AI API vs Muse Ember", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-muse-spark-open.json", "title": "Muse Ember vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-nemotron-3-5-super-vl.json", "title": "Muse Ember vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-novita-ai.json", "title": "Muse Ember vs Novita AI", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-openai-api.json", "title": "Muse Ember vs OpenAI API", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-openrouter.json", "title": "Muse Ember vs OpenRouter", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-prism-inference.json", "title": "Muse Ember vs Prism Inference", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-ramp-router.json", "title": "Muse Ember vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-reflection-beam.json", "title": "Muse Ember vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-routerplus.json", "title": "Muse Ember vs RouterPlus", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-sambanova.json", "title": "Muse Ember vs SambaCloud", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-siliconflow.json", "title": "Muse Ember vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-simplismart.json", "title": "Muse Ember vs Simplismart", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-stepfun-api.json", "title": "Muse Ember vs StepFun API", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-swe-2-flash.json", "title": "Muse Ember vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-tencent-tokenhub.json", "title": "Muse Ember vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-together-inference.json", "title": "Muse Ember vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-vercel-ai-gateway.json", "title": "Muse Ember vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-vertex-ai.json", "title": "Muse Ember vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-xai-api.json", "title": "Muse Ember vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-xai-api" } ], "panel": null, "scores": [ { "by": 28, "cloudflare-workers-ai": 68, "edge": "cloudflare-workers-ai", "key": "reliability", "muse-ember": 40, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 20, "cloudflare-workers-ai": 80, "edge": "cloudflare-workers-ai", "key": "schema", "muse-ember": 60, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 3, "cloudflare-workers-ai": 75, "edge": "cloudflare-workers-ai", "key": "ergonomics", "muse-ember": 72, "name": "Agent ergonomics", "weight": 13 }, { "by": 16, "cloudflare-workers-ai": 80, "edge": "cloudflare-workers-ai", "key": "security", "muse-ember": 64, "name": "Security \u0026 auth", "weight": 14 }, { "by": 32, "cloudflare-workers-ai": 52, "edge": "cloudflare-workers-ai", "key": "payments", "muse-ember": 20, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 26, "cloudflare-workers-ai": 72, "edge": "cloudflare-workers-ai", "key": "maintenance", "muse-ember": 46, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 23, "cloudflare-workers-ai": 76, "edge": "cloudflare-workers-ai", "key": "transparency", "muse-ember": 53, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Cloudflare Workers AI scores 69.2 (B) on agent readiness against Muse Ember's 51.8 (D), and leads in every scored category. Both do llm inference.", "tasks": null, "tutorials": [], "verdicts": { "cloudflare-workers-ai": "Per-model prices, rate limits and JSON Schemas are public, 10,000 neurons a day are free, and x402 payment is in beta on `/ai/run` for four models. No SLA was found, three models moved to paid-only access on 28 July 2026 with no notice, and the REST quick start still uses a model retired in May.", "muse-ember": "A cheap, capable model for the repeated parts of agent work, at $0.10 and $0.50 per million tokens with a 1M context and Meta's figures putting it level with Claude Haiku 5.5 on fewer tokens. Launched today on an API with no readable status page, SLA or deprecation policy, and closed, with no weights." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember", "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember.min.md" }, "markdown": "Cloudflare Workers AI scores 69.2 (B) on agent readiness against Muse Ember's 51.8 (D), and leads in every scored category. Both do llm inference.\n\n- Cloudflare Workers AI: grade B, 69.2/100, rank #256 of 1515. Markdown https://www.anchorterminal.com/tools/cloudflare-workers-ai.md · JSON https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json\n- Muse Ember: grade D, 51.8/100, rank #1017 of 1515. Markdown https://www.anchorterminal.com/tools/muse-ember.md · JSON https://www.anchorterminal.com/api/v1/tools/muse-ember.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 871 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Cloudflare Workers AI (B)\n\nGood for: Agents that already run on Cloudflare Workers, or that want open-weight chat, embedding, reranking, speech and image models behind one token with a free daily allowance.\n\nAhead on:\n- Reliability, 68 against 40\n- Schema \u0026 documentation, 80 against 60\n- Security \u0026 auth, 80 against 64\n- Payments \u0026 pricing, 52 against 20\n- Maintenance \u0026 community, 72 against 46\n- Transparency \u0026 trust, 76 against 53\n\nWatch for: No SLA for Workers AI was found in the docs or the agreements read\n\n### Muse Ember (D)\n\nGood for: Agents that hand out many small, bounded tasks (sub-agents, tool loops, routing, extraction over thousands of files) and want a cheap multimodal model with a 1M context behind the same API as a bigger Muse model.\n\nAlso in its favour:\n- No incidents deducted, where Cloudflare Workers AI loses 3 points for them\n\nWatch for: No weights and no parameter count published, so it can't be run locally\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Cloudflare Workers AI +32\n\n- Cloudflare Workers AI (52): x402 is in beta on `POST /ai/run` since 30 September 2026 for four of 69 models. It still needs a Cloudflare API token, a United States account and a card on file, and the per-model and OpenAI-style routes are not covered. We did not call it (12 of 40). Per-model token, image and audio prices and the neuron rate are published without a login (20). 10,000 neurons a day are free on the Workers Free plan, and the pricing page asks for a paid plan only past that. We did not sign up to confirm that no card is asked for (20). A person creates the account and the first token in a browser, and the x402 route needs both (0). The Machine Payments page (last updated 30 September) and the pricing page (20 October) were re-read on 1 November and say the same. 12 + 20 + 20 + 0 = 52.\n- Muse Ember (20): Published rubric. No payment protocol (0). Per-token prices for both tiers published without a login, read 9 November (20). No free API allowance found; billing needs a card, per the platform reading (0). Browser sign-up (0). 0 + 20 + 0 + 0 = 20.\n\n### Reliability: Cloudflare Workers AI +28\n\n- Cloudflare Workers AI (68): Hosted reading. www.cloudflarestatus.com is a Statuspage with Workers AI, AI Gateway and API as separate components (20). The incidents feed read on 9 October held 50 incidents from 21 September to 8 October 2026, none naming Workers AI or AI Gateway. The feed read on 1 November holds 50 incidents from 16 to 31 October. Workers AI is listed only in \"Issues with AI Security for Apps\" on 27 October, intermittent failures in unsafe topic detection with impact none, resolved after 38 minutes. The 23 October network incident, labelled major, describes some traffic between Ashburn and Atlanta and some customers in North America, so it reads as partial, as this run's other Cloudflare re-checks read regional incidents. The history page loads by script, so 3 August to 20 September and 9 to 15 October went unread. The 28 July changelog that cited 429 and 3040 capacity errors has left the 90 days, so the line is 12 of 30 (10 before), as cloudflare-r2 and cloudflare-mcp read the same page with an unread stretch on 1 November. Limits are published per task type, 300 requests a minute for text generation and 20 or 50 a minute per paid model, unchanged since 17 September (15). A 429 carries code 3036 for a spent free allocation or 3040 for capacity, `rejectIfBusy` fails fast, the batch route queues work, and the Cloudflare API returns `retry-after` and `Ratelimit` headers for its own limit. No `Retry-After` or backoff figures were found for a 3040 (11 of 15). No SLA for Workers AI was found. The legal index names only an enterprise support and SLA page, which we did not read (0). The limits page says Workers AI is generally available, with lower limits possible on beta models (10). 20 + 12 + 15 + 11 + 0 + 10 = 68.\n- Muse Ember (40): Model reading, for the surface it's called on, Meta Model API. No status page with readable history, per the meta-model-api listing's 4 November check (0), so no readable incident history (5). Rate limits published per team and per model, 3,000 RPM and 4,000,000 TPM for muse-ember-1.0, read 9 November (15). 429 and 503 with Retry-After, backoff guidance and rate-limit headers, per the meta-model-api listing (15). No SLA found (0). Muse Ember carries no preview label, but the API opened as a public preview in July and no general-availability notice was found, so half, as for the platform (5). 0 + 5 + 15 + 15 + 0 + 5 = 40.\n\n### Maintenance \u0026 community: Cloudflare Workers AI +26\n\n- Cloudflare Workers AI (72): Model reading. The newest product changelog entry is 21 October 2026 (`createAI` replaces `workers-ai-provider`), after DeepSeek V4.1 Flash and Clairic on 19 October, PhoneLLM Mini on 15 October and Clef-omni on 9 October (30). No minimum notice for model changes was found. The notice of 8 May 2026 retired 18 models 22 days later, and a notice of 18 September 2025 retired models 13 days later (5 of 12). Eighteen models went on 30 May 2026, one aliased to a pricier successor. No retirement was announced between 9 October and 1 November (3 of 8). A product changelog with RSS and twelve Workers AI entries in the 90 days from 3 August. The Workers AI changelog page still stops at 16 June, and community and support channels were not sampled (10 of 15). Replies on the SDK repositories were not examined (3 of 10). `cloudflare` for TypeScript 7.3.0 and Python 5.9.0 (tagged 2 October 2026) are still the newest tags on 1 November. `workers-ai-provider` 4.0.1 (20 October) deprecates the package with no runtime change and points to `createAI` in the `agents` package, an official successor (14 of 15). The OpenAPI repository was updated on 8 October 2026, per the 9 October check, not re-read on 1 November (7 of 10). 30 + 5 + 3 + 10 + 3 + 14 + 7 = 72.\n- Muse Ember (46): Model reading. Released 9 November 2026 (30). No deprecation policy or notice period found, per the platform reading (0 of 12). Dated launches on the API, the latest Muse Wonder on 12 October and Muse Ember on 9 November (8 of 8). No Model API changelog; a help centre with tickets (8 of 15). No SDK of Meta's own (0 of 15, 0 of 10). 30 + 0 + 8 + 8 + 0 = 46.\n\n### Transparency \u0026 trust: Cloudflare Workers AI +23\n\n- Cloudflare Workers AI (76): Closed service under the Self-Serve Subscription Agreement and service-specific terms with a Workers AI section. The hosted models are open-weight with licence links on their pages, and the SDKs are Apache-2.0 and MIT (18 of 30). The data usage page, the service-specific terms and the privacy policy of 4 November 2025 agree on ownership and no training. The privacy policy gives retention criteria, not periods, the two documents differ on use to improve services, and the DPA the terms link was not read (20 of 30). No deprecation policy was found. The changelog posts dated notices, among them the 21 October deprecation of `workers-ai-provider` with no end date, and section 8 of the agreement lets Cloudflare modify or discontinue a service without notice (8 of 20). A sub-processor page exists and links a list for Cloudflare services, which we did not read. Model pages are tagged Cloudflare-hosted, and where a request runs is not stated beyond Cloudflare's network (10 of 20). 18 + 20 + 8 + 10 = 56.\n- Muse Ember (53): Editorial half. Closed model under the Model API terms, with clear terms and law; no weights and no parameter count, unlike Muse Spark Open and Muse Glimmer (15). Standard content isn't used for training, retention periods not stated outside zero retention (18 of 30). No deprecation policy or dated notices (0). A subprocessor list linked but not read, no data locations (8 of 20). 15 + 18 + 0 + 8 = 41.\n\n### Schema \u0026 documentation: Cloudflare Workers AI +20\n\n- Cloudflare Workers AI (80): Model reading, scored on the API lines. Cloudflare's public OpenAPI 3.0.3 document, updated 8 October 2026, has 14 paths and 15 operations under `/ai/`. `/ai/run/{model_name}` takes 13 input shapes by task and lists only 200 and 400 responses, and the OpenAI-style `/ai/v1/` routes are not in it. Each model page links JSON Schemas for input and output, and `GET /ai/models/schema` returns them (22 of 25). `llms.txt` for Workers AI and a Markdown copy of every page (10). Model pages give a description, capability tags, context window and price, and the batch, caching and reject-busy pages say when to use each. Nothing says when not to pick a model (14 of 20). Parameters are typed with defaults, enums and nullability on the model pages (12 of 15). TypeScript, Python and curl examples on every model page and a table of 17 error codes with HTTP statuses. The quick start and the OpenAI page still use `@cf/meta/llama-3.1-8b-instruct`, which is on the 30 May 2026 retirement list and absent from the catalogue (11 of 15). A dated product changelog with RSS. Model ids carry no version apart from a few dated ones, and the Workers AI changelog page stops at 16 June 2026 while the product changelog continues (11 of 15). The OpenAPI document was not re-read on 1 November. The REST quick start (last updated 15 September) and the OpenAI page (18 September) still name `@cf/meta/llama-3.1-8b-instruct` on 1 November, and the error table still has 17 codes.\n- Muse Ember (60): Model reading. No OpenAPI file; the Markdown reference is the contract, per the meta-model-api listing (0). llms.txt and Markdown copies of every page (10). The Muse Ember page and choose-a-model page say what to hand it and what not to (hard single-shot coding, knowledge-heavy questions, visual coding), with model ID, inputs, context, max output and effort range (18 of 20). JSON Schema tools and output, reasoning effort an enum, per the platform reading (12 of 15). Curl, Python and TypeScript examples and the platform's error guide (15). A versioned model ID and a dated launch post, with no API changelog (5 of 15). 0 + 10 + 18 + 12 + 15 + 5 = 60.\n\n### Security \u0026 auth: Cloudflare Workers AI +16\n\n- Cloudflare Workers AI (80): Model reading. Cloudflare API tokens are revocable, limited to Workers AI Read or Edit on chosen accounts, and take an expiry and an IP address filter. Permission is per account, not per model, and the API reference also accepts the older global API key (27 of 30). The data usage page and the service-specific terms of 28 September 2026 say Customer Content is not used to train models without consent. The data page adds that it is not used to improve services, while clause 9 of the same terms section allows use as needed to provide and improve the Services (17 of 20). The data page says content may be stored if a storage service is used with Workers AI. It gives no retention period for inference inputs and no explicit zero-retention statement, and AI Gateway logs prompts and responses by default when a call is routed through a gateway (9 of 15). Gateway logs record prompt, response, tokens and cost per request, and the dashboard shows neuron usage. Direct calls have no per-request log that we found, and account audit logs were not read this run (9 of 15). security.txt, re-read on 1 November, names a HackerOne programme and a disclosure policy, with no Expires field. Cloudflare's ISO certifications page, read on 1 November, says Cloudflare is certified to ISO 27001 (since 2019, now to its 2022 edition), ISO 27018 and ISO 27701, with a scope of the Cloudflare global cloud platform, which doesn't name Workers AI. 2 held back for the missing Expires field, which RFC 9116 requires, the reading cloudflare-r2 gave the same evidence on 1 November (18 of 20, 15 before, when certifications went unread). 27 + 17 + 9 + 9 + 18 = 80.\n- Muse Ember (64): Platform readings are the meta-model-api listing's of 4 November. Team keys, named, revocable, no scopes (20 of 30). Standard mode only, so content isn't used to train Meta models under the terms, with safety use reserved (17 of 20). Retention 'as needed' with zero retention through sales (10 of 15). Usage dashboard by model, no per-call log (5 of 15). No security.txt on dev.meta.ai, a bug bounty and a security commitments page, no named certification (12 of 20). 20 + 17 + 10 + 5 + 12 = 64.\n\n## Score by category\n\n| Category | Weight | Cloudflare Workers AI | Muse Ember | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 68 | 40 | Cloudflare Workers AI +28 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 80 | 60 | Cloudflare Workers AI +20 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 72 | Cloudflare Workers AI +3 |\n| Security \u0026 auth | 14% (17.5 this run) | 80 | 64 | Cloudflare Workers AI +16 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 52 | 20 | Cloudflare Workers AI +32 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 72 | 46 | Cloudflare Workers AI +26 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 76 | 53 | Cloudflare Workers AI +23 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **69.2 · B** | **51.8 · D** | |\n\n## Facts side by side\n\n| Fact | Cloudflare Workers AI | Muse Ember |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Cloudflare, Inc. | Meta |\n| Hosted endpoint | `https://api.cloudflare.com/client/v4/accounts/{account_id}/ai` | `https://api.meta.ai/v1` |\n| Transports | HTTP | |\n| Auth | API key | API key |\n| Pricing | Freemium | Pay per use |\n| x402 | on some endpoints | no |\n| Licence | Proprietary service under Cloudflare's Self-Serve Subscription Agreement. Each hosted model carries its own open-weight licence, linked from its model page. The `cloudflare` SDKs are Apache-2.0, `workers-ai-provider` is MIT and the OpenAPI repository is BSD-3-Clause | Closed model, used through Meta Model API and Muse Code under the Meta Model API Terms of Service (last updated 9 October 2026). No open weights; Meta's open-weight models are Muse Spark Open and Muse Glimmer |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-21 | 2026-11-09 |\n| Terms last updated | 2025-09-12 | 2026-10-02 |\n| Privacy policy last updated | no date given | couldn't be read |\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 | yes |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | 380k npm/wk | none |\n| Agent reviews | 3/5 (4) | none |\n\n## How the scores have moved\n\n### Cloudflare Workers AI\n\n- +0.9 on 1 November 2026: new evidence, time\n\n### Muse Ember\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Cloudflare Workers AI.** Per-model prices, rate limits and JSON Schemas are public, 10,000 neurons a day are free, and x402 payment is in beta on `/ai/run` for four models. No SLA was found, three models moved to paid-only access on 28 July 2026 with no notice, and the REST quick start still uses a model retired in May.\n\n**Muse Ember.** A cheap, capable model for the repeated parts of agent work, at $0.10 and $0.50 per million tokens with a 1M context and Meta's figures putting it level with Claude Haiku 5.5 on fewer tokens. Launched today on an API with no readable status page, SLA or deprecation policy, and closed, with no weights.\n\n## Before you call either\n\n### Cloudflare Workers AI\n\n1. Check the model page before calling. Eight models need Workers Paid or AI Gateway credits and return 403 with code 5035 on the Free plan\n2. Read the internal code on a 429. 3036 means the day's 10,000 free neurons are spent until 00:00 UTC, 3040 means capacity, so retry later\n3. Set `options.rejectIfBusy` to fail fast, or add `?queueRequest=true` for the batch route when the answer can wait\n4. Send the same `x-session-affinity` value on every turn of a session to reach the prefix cache and the cached-input price\n5. Use `createAI` from `agents/models/ai-sdk` for the Vercel AI SDK. `workers-ai-provider` is deprecated and feature frozen since 21 October 2026\n\n### Muse Ember\n\n1. Call https://api.meta.ai/v1/responses (or /chat/completions or /messages) with model muse-ember-1.0 and a bearer MODEL_API_KEY\n2. Set the effort explicitly, reasoning.effort on Responses or reasoning_effort on Chat Completions. It defaults to max, and none isn't accepted; minimal or low suits classification and routing\n3. Keep input under 200K tokens a request, cached tokens and previous_response_id history included, or the whole request bills at the long-context rate\n4. Use it for sub-agents and bounded repeated tasks, and a larger Muse model for the plan, as Meta advises\n5. Use strict structured output for extraction and routing steps\n6. In Claude Code, map the haiku alias and sub-agent model to muse-ember-1.0, per Meta's guide\n\n## Questions\n\n### Which is better for AI agents, Cloudflare Workers AI or Muse Ember?\n\nCloudflare Workers AI scores 69.2 (B) on agent readiness against Muse Ember's 51.8 (D), and leads in every scored category.\n\n### Do Cloudflare Workers AI and Muse Ember need an API key?\n\nBoth need an API key.\n\n### Can an agent call Cloudflare Workers AI and Muse Ember without installing anything?\n\nYes. Cloudflare Workers AI has a hosted endpoint at https://api.cloudflare.com/client/v4/accounts/{account_id}/ai and Muse Ember at https://api.meta.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"cloudflare-workers-ai\", \"b\": \"muse-ember\"}`. From a terminal: `anchor compare cloudflare-workers-ai muse-ember`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cloudflare-workers-ai.json and https://www.anchorterminal.com/api/v1/tools/muse-ember.json\n\n## Other comparisons with Cloudflare Workers AI or Muse Ember\n\n- [Amazon Bedrock vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/amazon-bedrock-vs-cloudflare-workers-ai.md)\n- [Amazon Bedrock vs Muse Ember](https://www.anchorterminal.com/compare/amazon-bedrock-vs-muse-ember.md)\n- [Claude API vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/anthropic-api-vs-cloudflare-workers-ai.md)\n- [Claude API vs Muse Ember](https://www.anchorterminal.com/compare/anthropic-api-vs-muse-ember.md)\n- [Antseed vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai.md)\n- [Antseed vs Muse Ember](https://www.anchorterminal.com/compare/antseed-vs-muse-ember.md)\n- [Azure OpenAI in Foundry Models vs 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Ember vs Simplismart](https://www.anchorterminal.com/compare/muse-ember-vs-simplismart.md)\n- [Muse Ember vs StepFun API](https://www.anchorterminal.com/compare/muse-ember-vs-stepfun-api.md)\n- [Muse Ember vs SWE-2 Flash](https://www.anchorterminal.com/compare/muse-ember-vs-swe-2-flash.md)\n- [Muse Ember vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/muse-ember-vs-tencent-tokenhub.md)\n- [Muse Ember vs Together AI Inference](https://www.anchorterminal.com/compare/muse-ember-vs-together-inference.md)\n- [Muse Ember vs Vercel AI Gateway](https://www.anchorterminal.com/compare/muse-ember-vs-vercel-ai-gateway.md)\n- [Muse Ember vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/muse-ember-vs-vertex-ai.md)\n- [Muse Ember vs xAI API (Grok)](https://www.anchorterminal.com/compare/muse-ember-vs-xai-api.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Cloudflare Workers AI vs Muse Ember", "url": "" } ], "description": "Cloudflare Workers AI scores 69.2 (B) to Muse Ember's 51.8 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Cloudflare Workers AI B 69.2", "Muse Ember D 51.8", "scores" ], "h1": "Cloudflare Workers AI vs Muse Ember", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/cloudflare-workers-ai-vs-muse-ember", "published": "2026-10-01", "section": "tools", "title": "Cloudflare Workers AI vs Muse Ember for AI agents (2026)", "toc": null, "updated": "2026-11-09", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember" }, "tokens": { "markdown": 7250, "slim": 1080 }, "version": 1 }