{ "data": { "a": { "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 } }, "answer": "OpenRouter scores 66.6 (B) on agent readiness against Muse Ember's 51.8 (D), and leads in every scored category.", "b": { "slug": "openrouter", "name": "OpenRouter", "vendor": "OpenRouter", "vendorUrl": "https://openrouter.ai", "kind": "router", "category": "inference", "summary": "One OpenAI-compatible API in front of 80+ model providers, at the providers' own token prices, with fallbacks and routing controls.", "url": "https://www.anchorterminal.com/tools/openrouter", "markdownUrl": "https://www.anchorterminal.com/tools/openrouter.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/openrouter.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/openrouter.json", "dns": "openrouter.grade.anchorterminal.com", "repo": "https://github.com/OpenRouterTeam/typescript-sdk", "license": "Apache-2.0 (SDKs)", "transports": [ "http" ], "remoteUrl": "https://openrouter.ai/api/v1", "packages": [ { "registry": "npm", "name": "@openrouter/sdk" }, { "registry": "pypi", "name": "openrouter" } ], "auth": "api-key", "authNotes": "Bearer key. OAuth PKCE lets an app get a key on a user's behalf.", "pricing": "usage", "pricingNotes": "No markup on tokens. The fee is on credit top-ups, 5.5% by card ($0.80 minimum) and 5% in crypto, 8% on Business. Bring your own key free up to $25,000 a month, then 5%. 25+ free models at 20 requests a minute and 50 a day, 1,000 a day after a $10 purchase (https://openrouter.ai/pricing).", "priceSummary": "5.5% fee", "where": "hosted", "x402": { "level": "no", "evidence": "Credits can be bought in USDC through Coinbase, but requests are paid from a prepaid balance, not per call.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 226, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-26" }, "docsUrl": "https://openrouter.ai/docs", "rateLimitsUrl": "https://openrouter.ai/docs/api_reference/limits", "llmsTxt": "https://openrouter.ai/docs/llms.txt", "openapi": "https://openrouter.ai/docs/openapi/openapi.yaml", "capabilities": [ "inference.llm", "inference.router" ], "tags": [ "hosted", "router", "free-tier", "no-card", "openapi", "llms-txt", "crypto-topup" ], "lastRelease": "2026-10-31", "graded": true, "anchor": { "graded": true, "score": 66.6, "grade": "B", "agentReady": false, "rank": 365, "ranked": true, "rankOf": 1515, "categoryRank": 15, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 85, "maintenance": 82, "payments": 40, "reliability": 55, "schema": 90, "security": 67, "transparency": 72 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -3, "negativeNotes": [ "2026-10-21. Breaking changes published the day they shipped, folded into one term. The Python SDK `openrouter` 1.3.70, a patch release in the listing's own package, removed the `client.end_users` namespace for `client.external_users`, and `POST /messages` streams stopped sending a trailing `data: [DONE]` frame, so clients that waited for it must end on `message_stop`. The versioning page promises migration notes but no notice period, and earlier same-day removals (8 September, 23 October) are of the same kind. -3. https://openrouter.ai/docs/changelog.md" ], "verdict": "Public OpenAPI document, llms.txt with Markdown twins, and a changelog generated from the spec on every release, with SDKs in TypeScript and Python tagged on 31 October 2026. Breaking changes ship with migration notes on the day, with no notice period. No machine payment, and USDC top-ups go to a prepaid balance.", "bestFor": "Agents that need many models behind one key, provider failover and a hard price ceiling per request.", "strengths": [ "Public OpenAPI document, llms.txt with Markdown twins, and a changelog generated from the spec with migration notes", "Per-request routing controls, fallback `models` lists, provider ordering, `zdr` and `max_price`", "429, 503 and some 402 responses carry `Retry-After`, and the SDKs honour it", "OpenRouter stores no prompts or responses unless you opt in", "Free models with no card, and Management API keys for minting and rotating keys in code" ], "weaknesses": [ "No machine payment. USDC top-ups go to a prepaid balance", "`data_collection` defaults to 'allow', which admits providers that may store and train on prompts", "Breaking changes are published the day they ship, with no notice period, among them the Python SDK's `end_users` removal on 21 October 2026", "Mid-stream failures arrive inside a 200 response, and upstream providers may charge for prompt processing on a failed call", "No published SLA, and the status page gave us no readable history" ], "agentNotes": [ "Set `provider.data_collection: \"deny\"` or `provider.zdr: true` when the prompt holds anything private", "Pass a `models` list so a failed provider falls through to the next one", "Honour `Retry-After` on 429 and 503, and check the stream body for errors even on a 200", "Set `max_price` so a routed request can't land on an expensive provider", "Free models allow 50 requests a day until $10 of credit has been bought. Check `GET /api/v1/key` for what's left", "On `/messages` streams, stop at `message_stop` or an `error` event. No `[DONE]` frame is sent since 21 October 2026" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 66.6 } ], "editorialScores": { "ergonomics": 85, "maintenance": 82, "payments": 40, "reliability": 55, "schema": 90, "security": 67, "transparency": 57 }, "provenanceScore": 87, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "npm i @openrouter/sdk # or any OpenAI client with base URL https://openrouter.ai/api/v1", "http": "curl https://openrouter.ai/api/v1/chat/completions \\\n -H \"Authorization: Bearer $OPENROUTER_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"models\":[\"anthropic/claude-opus-5-5\",\"openai/gpt-6-sol\"],\"provider\":{\"zdr\":true},\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/openrouter" }, "area": "models", "unitPrices": [ { "item": "Card top-up fee", "unit": "pct", "usd": 5.5, "note": "$0.80 minimum" }, { "item": "Crypto top-up fee", "unit": "pct", "usd": 5 }, { "item": "Bring your own key over $25,000 a month", "unit": "pct", "usd": 5 } ], "provenance": { "legalEntity": "OpenRouter, Inc.", "domain": "openrouter.ai", "domainRegistered": "2023-04-17", "endpointOnVendorDomain": true, "terms": "https://openrouter.ai/terms", "privacy": "https://openrouter.ai/privacy", "statusPage": "https://status.openrouter.ai", "changelog": "https://openrouter.ai/docs/changelog", "securityTxt": "valid", "checked": "2026-09-26", "score": 87 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/openrouter.json", "live": { "slug": "openrouter", "probe": { "target": "https://openrouter.ai/api/v1", "method": "get", "lastAt": "2026-11-09T20:50:05.137554331Z", "lastOk": true, "lastStatus": 404, "lastMs": 146, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 154, "p95ms24h": 256, "samples24h": 244, "samples30d": 7881, "days": [ { "date": "2026-10-09", "probes": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 250, "ok": 250 }, { "date": "2026-10-29", "probes": 249, "ok": 249 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 243, "ok": 243 }, { "date": "2026-11-08", "probes": 243, "ok": 243 }, { "date": "2026-11-09", "probes": 212, "ok": 212 } ], "since": "2026-10-08T00:00:00Z" }, "vendorStatus": { "page": "https://status.openrouter.ai", "indicator": "unknown", "summary": "no machine-readable status found", "checkedAt": "2026-11-09T20:24:31.228432623Z" }, "versions": [ { "registry": "github", "name": "OpenRouterTeam/typescript-sdk", "version": "v1.5.70", "released": "2026-11-09", "seenAt": "2026-11-09T02:47:20.810883992Z" }, { "registry": "npm", "name": "@openrouter/sdk", "version": "1.5.70", "seenAt": "2026-11-09T02:47:19.890812873Z" }, { "registry": "pypi", "name": "openrouter", "version": "1.3.143", "released": "2026-11-09", "seenAt": "2026-11-09T02:47:20.655401902Z" } ], "githubStars": 265, "npmWeekly": 1420278, "pypiWeekly": 509622, "securityTxt": { "url": "https://openrouter.ai/.well-known/security.txt", "state": "valid", "expires": "2027-08-12T00:00:00.000Z", "checkedAt": "2026-11-09T16:06:23.85769134Z" }, "llmsTxt": { "url": "https://openrouter.ai/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-09T15:40:33.663340341Z" }, "domain": { "domain": "openrouter.ai", "registered": "2023-04-17", "source": "https://rdap.identitydigital.services/rdap/domain/openrouter.ai", "checkedAt": "2026-11-08T14:55:23.314824384Z" }, "pages": [ { "url": "https://openrouter.ai/docs/changelog", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-09T15:46:38.502482705Z", "changedAt": "2026-11-06T13:37:16.450910388Z", "fingerprint": "643881c9ce0d" }, { "url": "https://openrouter.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-09T15:46:41.091399492Z", "changedAt": "2026-10-30T05:44:51.931625899Z", "fingerprint": "5cb2a28b714b" }, { "url": "https://openrouter.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-09T15:46:42.712369549Z", "changedAt": "2026-10-30T05:44:54.355186693Z", "fingerprint": "9aab6dce3dcb" }, { "url": "https://openrouter.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-09T15:46:44.576029675Z", "changedAt": "2026-10-30T05:44:56.728736628Z", "fingerprint": "e65daca75fd6" } ], "github": { "repo": "openrouterteam/typescript-sdk", "checkedAt": "2026-11-09T10:49:17.721128634Z", "stars": 265, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-09T09:27:06Z", "openIssues": 14, "openPRs": 24, "issuesOpened90d": 11, "issuesClosed90d": 9, "prsMerged90d": 592, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-11-09T09:25:35Z" }, "replies": { "sampled": 25, "unanswered": 12, "medianDays": 70.8 } }, "updatedAt": "2026-11-09T20:50:05.137554331Z" }, "streak": { "days": 17, "from": "2026-10-23", "last": { "kind": "shutdown", "date": "2026-10-23", "what": "The `/interns` endpoints and their schemas are removed from the API", "source": "https://openrouter.ai/docs/changelog" }, "best": 17 } }, "edges": [ { "by": 36, "category": "maintenance", "leads": "openrouter", "name": "Maintenance \u0026 community", "reasons": { "a": "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.", "b": "Model reading. The TypeScript and Python SDKs were tagged on 31 October 2026, v1.5.33 and v1.3.106, and the API changelog's newest entry is 29 October (30). The versioning page says breaking changes are reviewed by a person and published in the changelog with migration notes, and that removing a deprecated part of the API follows that process, but it states no notice period. The 25 July Responses GA entry still promises a sunset date before the beta aliases go (6 of 12). Several removals of OpenRouter's own surface in the 90 days from 3 August, each published the day it shipped, `sleep_after_seconds` and the `ncompass` provider on 8 September, the `/interns` endpoints on 23 October, and the Python SDK's `end_users` namespace in 1.3.70 on 21 October (4 of 8). Dated changelog for every release that changes the spec, support not checked (12 of 15). SDK issue replies not sampled (5 of 10). Official SDKs in TypeScript and Python (and Go, not re-read on 1 November), generated from the OpenAPI document with Speakeasy, 242 and 279 tags since 3 August (15). Each SDK repository runs PR validation and publish workflows, per the 2 October check (10)." }, "scores": { "a": 46, "b": 82 } }, { "by": 30, "category": "schema", "leads": "openrouter", "name": "Schema \u0026 documentation", "reasons": { "a": "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.", "b": "Public OpenAPI document at openrouter.ai/docs/openapi/openapi.yaml (25). llms.txt with Markdown twins (10). Reference not read in full (15 of 20). Structured outputs documented, enforcement depends on the upstream model (10 of 15). Errors and debugging page and examples throughout (15). An API changelog generated from OpenAPI diffs on every release, with a human-reviewed Breaking section and migration notes, dated entries to 29 October 2026, and an API versioning page (15)." }, "scores": { "a": 60, "b": 90 } }, { "by": 20, "category": "payments", "leads": "openrouter", "name": "Payments \u0026 pricing", "reasons": { "a": "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.", "b": "No machine payment protocol found in the docs index. Credits can be bought in USDC through Coinbase, but calls draw on a prepaid balance (0). Per-token prices published per model without a login (20). 25 or more free models with no card, per the listing (20). Browser sign-up for the first key (0). Management API keys and OAuth PKCE mint keys in code, but only after a person has an account." }, "scores": { "a": 20, "b": 40 } }, { "by": 19, "category": "transparency", "leads": "openrouter", "name": "Transparency \u0026 trust", "reasons": { "a": "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.", "b": "Closed service with clear terms, SDKs Apache-2.0 (15). Data collection page and privacy policy agree that content isn't stored unless you opt in, but training defaults for upstream providers sit on other pages we didn't read (15 of 30). An API versioning page states how deprecations are announced (in the changelog, with the field or endpoint marked deprecated in the reference) and the changelog dates each one, but no notice period is promised (12 of 20). Each provider's data policy is shown per endpoint per the listing, and EU or US in-region routing is part of the Business plan. No subprocessor list checked (15 of 20)." }, "scores": { "a": 53, "b": 72 } }, { "by": 15, "category": "reliability", "leads": "openrouter", "name": "Reliability", "reasons": { "a": "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.", "b": "Status page at status.openrouter.ai, which rendered only in a browser with its feed and JSON paths answering 403 on 1 and 2 October. On 1 November its robots.txt answered 403 AccessDenied, so the host is treated as blocked and the page was not read (10 of 20, per the 2 October check, and 5 for the incident line, no readable history). The limits page gives 20 requests a minute on free models, 50 a day below $10 of lifetime purchases and 1,000 a day above, no platform cap on paid models, and a key endpoint that reports what's left (15). The errors page says 429, 503 and 402 responses from the in-flight spending budget carry `Retry-After`, tells clients to honour it, and says the official SDKs already do (15). The pricing page lists 'Contractual SLAs' for Enterprise without publishing terms, which we count as no published SLA (0). The chat completions API is GA (10). Model fallbacks through a `models` list soften an upstream outage, which this checklist doesn't score." }, "scores": { "a": 40, "b": 55 } }, { "by": 13, "category": "ergonomics", "leads": "openrouter", "name": "Agent ergonomics", "reasons": { "a": "Model reading. Tool calls, parallel calls, computer use and search grounding, with tool_choice limited to auto per the platform reading (15 of 20). Strict structured output (15). Automatic prompt caching, cached input at 4% of the input price (15). A 1,048,576-token context, but requests over 200K input tokens bill at three times the rate for the whole request (12 of 15). No batch endpoint (0). No SDK of Meta's own; OpenAI and Anthropic SDKs against compatible endpoints (0). OpenAI-style errors with fixes and retryable codes (15). 15 + 15 + 15 + 12 + 0 + 0 + 15 = 72.", "b": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool calling documented, behaviour depends on the routed model (15 of 20). Structured outputs depend on the upstream model (10 of 15). Prompt caching documented, discount set by each provider (10 of 15). Routes to models with 1M-token context, a judgement call since a router has no default model (15). Batch API, usually half price per the listing (10). Official SDKs in TypeScript, Python and Go (10). Errors and debugging page (15)." }, "scores": { "a": 72, "b": 85 } } ], "facts": [ { "a": "Model API", "b": "Model router", "name": "Kind" }, { "a": "Meta", "b": "OpenRouter", "name": "Vendor" }, { "a": "https://api.meta.ai/v1", "b": "https://openrouter.ai/api/v1", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Closed model, used through 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", "b": "Apache-2.0 (SDKs)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-11-09", "b": "2026-10-31", "name": "Last release" }, { "a": "2026-10-02", "b": "2026-08-31", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "2026-08-31", "name": "Privacy policy last updated" }, { "a": "yes", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "226 stars", "name": "Popularity" }, { "a": "none", "b": "3/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "OpenRouter scores 66.6 (B) on agent readiness against Muse Ember's 51.8 (D), and leads in every scored category.", "question": "Which is better for AI agents, Muse Ember or OpenRouter?" }, { "answer": "Both need an API key.", "question": "Do Muse Ember and OpenRouter need an API key?" }, { "answer": "Yes. Muse Ember has a hosted endpoint at https://api.meta.ai/v1 and OpenRouter at https://openrouter.ai/api/v1.", "question": "Can an agent call Muse Ember and OpenRouter without installing anything?" } ], "goodFor": [ { "aheadOn": null, "also": [ "No incidents deducted, where OpenRouter 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" }, { "aheadOn": [ "Reliability, 55 against 40", "Schema \u0026 documentation, 90 against 60", "Agent ergonomics, 85 against 72", "Payments \u0026 pricing, 40 against 20", "Maintenance \u0026 community, 82 against 46", "Transparency \u0026 trust, 72 against 53" ], "also": [ "Free to start without a card" ], "goodFor": "Agents that need many models behind one key, provider failover and a hard price ceiling per request.", "slug": "openrouter", "watchFor": "No machine payment. USDC top-ups go to a prepaid balance" } ], "history": { "muse-ember": null, "openrouter": [ { "causes": [ "evidence", "event" ], "date": "2026-11-01", "delta": -1.9, "from": 68.5, "fromGrade": "B", "to": 66.6, "toGrade": "B" }, { "causes": [ "correction" ], "date": "2026-10-28", "delta": -0.1, "from": 68.6, "fromGrade": "B", "to": 68.5, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.1, "from": 68.5, "fromGrade": "B", "to": 68.6, "toGrade": "B" } ] }, "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-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/amazon-bedrock-vs-openrouter.json", "title": "Amazon Bedrock vs OpenRouter", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-openrouter" }, { "json": 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vs Prism Inference", "url": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-ramp-router.json", "title": "OpenRouter vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/openrouter-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-reflection-beam.json", "title": "OpenRouter vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/openrouter-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-routerplus.json", "title": "OpenRouter vs RouterPlus", "url": "https://www.anchorterminal.com/compare/openrouter-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-sambanova.json", "title": "OpenRouter vs SambaCloud", "url": "https://www.anchorterminal.com/compare/openrouter-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-siliconflow.json", "title": "OpenRouter vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/openrouter-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-simplismart.json", "title": "OpenRouter vs Simplismart", "url": "https://www.anchorterminal.com/compare/openrouter-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api.json", "title": "OpenRouter vs StepFun API", "url": "https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash.json", "title": "OpenRouter vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-tencent-tokenhub.json", "title": "OpenRouter vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/openrouter-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference.json", "title": "OpenRouter vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-vercel-ai-gateway.json", "title": "OpenRouter vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/openrouter-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai.json", "title": "OpenRouter vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-xai-api.json", "title": "OpenRouter vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/openrouter-vs-xai-api" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-openrouter.json", "title": "Antseed vs OpenRouter", "url": "https://www.anchorterminal.com/compare/antseed-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/eden-ai-vs-openrouter.json", "title": "Eden AI vs OpenRouter", "url": "https://www.anchorterminal.com/compare/eden-ai-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-openrouter.json", "title": "Hugging Face Inference Providers vs OpenRouter", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/litellm-vs-openrouter.json", "title": "LiteLLM vs OpenRouter", "url": "https://www.anchorterminal.com/compare/litellm-vs-openrouter" } ], "panel": null, "scores": [ { "by": 15, "edge": "openrouter", "key": "reliability", "muse-ember": 40, "name": "Reliability", "openrouter": 55, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 30, "edge": "openrouter", "key": "schema", "muse-ember": 60, "name": "Schema \u0026 documentation", "openrouter": 90, "weight": 13 }, { "by": 13, "edge": "openrouter", "key": "ergonomics", "muse-ember": 72, "name": "Agent ergonomics", "openrouter": 85, "weight": 13 }, { "by": 3, "edge": "openrouter", "key": "security", "muse-ember": 64, "name": "Security \u0026 auth", "openrouter": 67, "weight": 14 }, { "by": 20, "edge": "openrouter", "key": "payments", "muse-ember": 20, "name": "Payments \u0026 pricing", "openrouter": 40, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 36, "edge": "openrouter", "key": "maintenance", "muse-ember": 46, "name": "Maintenance \u0026 community", "openrouter": 82, "weight": 7 }, { "by": 19, "edge": "openrouter", "key": "transparency", "muse-ember": 53, "name": "Transparency \u0026 trust", "openrouter": 72, "weight": 7 } ], "summary": "OpenRouter scores 66.6 (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": { "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.", "openrouter": "Public OpenAPI document, llms.txt with Markdown twins, and a changelog generated from the spec on every release, with SDKs in TypeScript and Python tagged on 31 October 2026. Breaking changes ship with migration notes on the day, with no notice period. No machine payment, and USDC top-ups go to a prepaid balance." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/muse-ember-vs-openrouter", "json": "https://www.anchorterminal.com/compare/muse-ember-vs-openrouter.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/muse-ember-vs-openrouter.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/muse-ember-vs-openrouter.min.md" }, "markdown": "OpenRouter scores 66.6 (B) on agent readiness against Muse Ember's 51.8 (D), and leads in every scored category. Both do llm inference.\n\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- OpenRouter: grade B, 66.6/100, rank #365 of 1515. Markdown https://www.anchorterminal.com/tools/openrouter.md · JSON https://www.anchorterminal.com/api/v1/tools/openrouter.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 871 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\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 OpenRouter loses 3 points for them\n\nWatch for: No weights and no parameter count published, so it can't be run locally\n\n### OpenRouter (B)\n\nGood for: Agents that need many models behind one key, provider failover and a hard price ceiling per request.\n\nAhead on:\n- Reliability, 55 against 40\n- Schema \u0026 documentation, 90 against 60\n- Agent ergonomics, 85 against 72\n- Payments \u0026 pricing, 40 against 20\n- Maintenance \u0026 community, 82 against 46\n- Transparency \u0026 trust, 72 against 53\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: No machine payment. USDC top-ups go to a prepaid balance\n\n\n## Why the edge\n\n### Maintenance \u0026 community: OpenRouter +36\n\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- OpenRouter (82): Model reading. The TypeScript and Python SDKs were tagged on 31 October 2026, v1.5.33 and v1.3.106, and the API changelog's newest entry is 29 October (30). The versioning page says breaking changes are reviewed by a person and published in the changelog with migration notes, and that removing a deprecated part of the API follows that process, but it states no notice period. The 25 July Responses GA entry still promises a sunset date before the beta aliases go (6 of 12). Several removals of OpenRouter's own surface in the 90 days from 3 August, each published the day it shipped, `sleep_after_seconds` and the `ncompass` provider on 8 September, the `/interns` endpoints on 23 October, and the Python SDK's `end_users` namespace in 1.3.70 on 21 October (4 of 8). Dated changelog for every release that changes the spec, support not checked (12 of 15). SDK issue replies not sampled (5 of 10). Official SDKs in TypeScript and Python (and Go, not re-read on 1 November), generated from the OpenAPI document with Speakeasy, 242 and 279 tags since 3 August (15). Each SDK repository runs PR validation and publish workflows, per the 2 October check (10).\n\n### Schema \u0026 documentation: OpenRouter +30\n\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- OpenRouter (90): Public OpenAPI document at openrouter.ai/docs/openapi/openapi.yaml (25). llms.txt with Markdown twins (10). Reference not read in full (15 of 20). Structured outputs documented, enforcement depends on the upstream model (10 of 15). Errors and debugging page and examples throughout (15). An API changelog generated from OpenAPI diffs on every release, with a human-reviewed Breaking section and migration notes, dated entries to 29 October 2026, and an API versioning page (15).\n\n### Payments \u0026 pricing: OpenRouter +20\n\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- OpenRouter (40): No machine payment protocol found in the docs index. Credits can be bought in USDC through Coinbase, but calls draw on a prepaid balance (0). Per-token prices published per model without a login (20). 25 or more free models with no card, per the listing (20). Browser sign-up for the first key (0). Management API keys and OAuth PKCE mint keys in code, but only after a person has an account.\n\n### Transparency \u0026 trust: OpenRouter +19\n\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- OpenRouter (72): Closed service with clear terms, SDKs Apache-2.0 (15). Data collection page and privacy policy agree that content isn't stored unless you opt in, but training defaults for upstream providers sit on other pages we didn't read (15 of 30). An API versioning page states how deprecations are announced (in the changelog, with the field or endpoint marked deprecated in the reference) and the changelog dates each one, but no notice period is promised (12 of 20). Each provider's data policy is shown per endpoint per the listing, and EU or US in-region routing is part of the Business plan. No subprocessor list checked (15 of 20).\n\n### Reliability: OpenRouter +15\n\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- OpenRouter (55): Status page at status.openrouter.ai, which rendered only in a browser with its feed and JSON paths answering 403 on 1 and 2 October. On 1 November its robots.txt answered 403 AccessDenied, so the host is treated as blocked and the page was not read (10 of 20, per the 2 October check, and 5 for the incident line, no readable history). The limits page gives 20 requests a minute on free models, 50 a day below $10 of lifetime purchases and 1,000 a day above, no platform cap on paid models, and a key endpoint that reports what's left (15). The errors page says 429, 503 and 402 responses from the in-flight spending budget carry `Retry-After`, tells clients to honour it, and says the official SDKs already do (15). The pricing page lists 'Contractual SLAs' for Enterprise without publishing terms, which we count as no published SLA (0). The chat completions API is GA (10). Model fallbacks through a `models` list soften an upstream outage, which this checklist doesn't score.\n\n### Agent ergonomics: OpenRouter +13\n\n- Muse Ember (72): Model reading. Tool calls, parallel calls, computer use and search grounding, with tool_choice limited to auto per the platform reading (15 of 20). Strict structured output (15). Automatic prompt caching, cached input at 4% of the input price (15). A 1,048,576-token context, but requests over 200K input tokens bill at three times the rate for the whole request (12 of 15). No batch endpoint (0). No SDK of Meta's own; OpenAI and Anthropic SDKs against compatible endpoints (0). OpenAI-style errors with fixes and retryable codes (15). 15 + 15 + 15 + 12 + 0 + 0 + 15 = 72.\n- OpenRouter (85): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). Tool calling documented, behaviour depends on the routed model (15 of 20). Structured outputs depend on the upstream model (10 of 15). Prompt caching documented, discount set by each provider (10 of 15). Routes to models with 1M-token context, a judgement call since a router has no default model (15). Batch API, usually half price per the listing (10). Official SDKs in TypeScript, Python and Go (10). Errors and debugging page (15).\n\n## Score by category\n\n| Category | Weight | Muse Ember | OpenRouter | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 55 | OpenRouter +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 90 | OpenRouter +30 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 85 | OpenRouter +13 |\n| Security \u0026 auth | 14% (17.5 this run) | 64 | 67 | OpenRouter +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | OpenRouter +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 46 | 82 | OpenRouter +36 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 53 | 72 | OpenRouter +19 |\n| Negative events | ≤15 | 0 | -3 | |\n| **Total** | | **51.8 · D** | **66.6 · B** | |\n\n## Facts side by side\n\n| Fact | Muse Ember | OpenRouter |\n| --- | --- | --- |\n| Kind | Model API | Model router |\n| Vendor | Meta | OpenRouter |\n| Hosted endpoint | `https://api.meta.ai/v1` | `https://openrouter.ai/api/v1` |\n| Transports | | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Closed model, used through 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 | Apache-2.0 (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-09 | 2026-10-31 |\n| Terms last updated | 2026-10-02 | 2026-08-31 |\n| Privacy policy last updated | couldn't be read | 2026-08-31 |\n| Customer content may train models | yes | not found in the text |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | yes |\n| Popularity | none | 226 stars |\n| Agent reviews | none | 3/5 (2) |\n\n## How the scores have moved\n\n### Muse Ember\n\nNo score change since it was listed.\n\n### OpenRouter\n\n- -1.9 on 1 November 2026: new evidence, negative event\n- -0.1 on 28 October 2026: correction\n- +0.1 on 27 October 2026: checklist\n\n## Verdicts\n\n**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**OpenRouter.** Public OpenAPI document, llms.txt with Markdown twins, and a changelog generated from the spec on every release, with SDKs in TypeScript and Python tagged on 31 October 2026. Breaking changes ship with migration notes on the day, with no notice period. No machine payment, and USDC top-ups go to a prepaid balance.\n\n## Before you call either\n\n### 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### OpenRouter\n\n1. Set `provider.data_collection: \"deny\"` or `provider.zdr: true` when the prompt holds anything private\n2. Pass a `models` list so a failed provider falls through to the next one\n3. Honour `Retry-After` on 429 and 503, and check the stream body for errors even on a 200\n4. Set `max_price` so a routed request can't land on an expensive provider\n5. Free models allow 50 requests a day until $10 of credit has been bought. Check `GET /api/v1/key` for what's left\n6. On `/messages` streams, stop at `message_stop` or an `error` event. No `[DONE]` frame is sent since 21 October 2026\n\n## Questions\n\n### Which is better for AI agents, Muse Ember or OpenRouter?\n\nOpenRouter scores 66.6 (B) on agent readiness against Muse Ember's 51.8 (D), and leads in every scored category.\n\n### Do Muse Ember and OpenRouter need an API key?\n\nBoth need an API key.\n\n### Can an agent call Muse Ember and OpenRouter without installing anything?\n\nYes. Muse Ember has a hosted endpoint at https://api.meta.ai/v1 and OpenRouter at https://openrouter.ai/api/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/muse-ember-vs-openrouter.json, and with the fewest tokens: https://www.anchorterminal.com/compare/muse-ember-vs-openrouter.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"muse-ember\", \"b\": \"openrouter\"}`. From a terminal: `anchor compare muse-ember openrouter`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/muse-ember.json and https://www.anchorterminal.com/api/v1/tools/openrouter.json\n\n## Other comparisons with Muse Ember or OpenRouter\n\n- [Amazon Bedrock vs Muse Ember](https://www.anchorterminal.com/compare/amazon-bedrock-vs-muse-ember.md)\n- [Amazon Bedrock vs OpenRouter](https://www.anchorterminal.com/compare/amazon-bedrock-vs-openrouter.md)\n- [Claude API vs Muse Ember](https://www.anchorterminal.com/compare/anthropic-api-vs-muse-ember.md)\n- [Claude API vs OpenRouter](https://www.anchorterminal.com/compare/anthropic-api-vs-openrouter.md)\n- [Antseed vs Muse Ember](https://www.anchorterminal.com/compare/antseed-vs-muse-ember.md)\n- [Azure OpenAI in Foundry Models vs Muse Ember](https://www.anchorterminal.com/compare/azure-openai-vs-muse-ember.md)\n- [Azure OpenAI in Foundry Models vs OpenRouter](https://www.anchorterminal.com/compare/azure-openai-vs-openrouter.md)\n- [BlockRun.AI vs Muse Ember](https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-ember.md)\n- [BlockRun.AI vs OpenRouter](https://www.anchorterminal.com/compare/blockrun-ai-vs-openrouter.md)\n- [Cerebras Inference vs Muse Ember](https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-ember.md)\n- [Cerebras Inference vs OpenRouter](https://www.anchorterminal.com/compare/cerebras-inference-vs-openrouter.md)\n- [Cloudflare AI Gateway vs Muse Ember](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-muse-ember.md)\n- [Cloudflare AI Gateway vs OpenRouter](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-openrouter.md)\n- [Cloudflare Workers AI vs Muse Ember](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember.md)\n- [Cloudflare Workers AI vs OpenRouter](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-openrouter.md)\n- [Cohere Chat API (Command models) vs Muse Ember](https://www.anchorterminal.com/compare/cohere-chat-vs-muse-ember.md)\n- [Cohere Chat API (Command models) vs OpenRouter](https://www.anchorterminal.com/compare/cohere-chat-vs-openrouter.md)\n- [DeepInfra vs Muse Ember](https://www.anchorterminal.com/compare/deepinfra-vs-muse-ember.md)\n- [DeepInfra vs OpenRouter](https://www.anchorterminal.com/compare/deepinfra-vs-openrouter.md)\n- [DeepSeek API vs Muse Ember](https://www.anchorterminal.com/compare/deepseek-api-vs-muse-ember.md)\n- [DeepSeek API vs OpenRouter](https://www.anchorterminal.com/compare/deepseek-api-vs-openrouter.md)\n- [Eden AI vs Muse Ember](https://www.anchorterminal.com/compare/eden-ai-vs-muse-ember.md)\n- [Glimpse vs Muse Ember](https://www.anchorterminal.com/compare/elorian-glimpse-vs-muse-ember.md)\n- [Glimpse vs OpenRouter](https://www.anchorterminal.com/compare/elorian-glimpse-vs-openrouter.md)\n- [Fireworks AI Inference vs Muse Ember](https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-ember.md)\n- [Fireworks AI Inference vs OpenRouter](https://www.anchorterminal.com/compare/fireworks-inference-vs-openrouter.md)\n- [Gemini Developer API vs Muse Ember](https://www.anchorterminal.com/compare/gemini-api-vs-muse-ember.md)\n- [Gemini Developer API vs OpenRouter](https://www.anchorterminal.com/compare/gemini-api-vs-openrouter.md)\n- [GroqCloud vs Muse Ember](https://www.anchorterminal.com/compare/groq-vs-muse-ember.md)\n- [GroqCloud vs OpenRouter](https://www.anchorterminal.com/compare/groq-vs-openrouter.md)\n- [Hugging Face Inference Providers vs Muse Ember](https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-muse-ember.md)\n- [Inkling 2 Small vs Muse Ember](https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-ember.md)\n- [Inkling 2 Small vs OpenRouter](https://www.anchorterminal.com/compare/inkling-2-small-vs-openrouter.md)\n- [Jais 3 vs Muse Ember](https://www.anchorterminal.com/compare/jais-3-vs-muse-ember.md)\n- [Jais 3 vs OpenRouter](https://www.anchorterminal.com/compare/jais-3-vs-openrouter.md)\n- [Meta Model API vs Muse Ember](https://www.anchorterminal.com/compare/meta-model-api-vs-muse-ember.md)\n- [Meta Model API vs OpenRouter](https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter.md)\n- [MiniMax API vs Muse Ember](https://www.anchorterminal.com/compare/minimax-api-vs-muse-ember.md)\n- [MiniMax API vs OpenRouter](https://www.anchorterminal.com/compare/minimax-api-vs-openrouter.md)\n- [Mistral AI API vs Muse Ember](https://www.anchorterminal.com/compare/mistral-api-vs-muse-ember.md)\n- [Mistral AI API vs OpenRouter](https://www.anchorterminal.com/compare/mistral-api-vs-openrouter.md)\n- [Muse Ember vs Muse Spark Open](https://www.anchorterminal.com/compare/muse-ember-vs-muse-spark-open.md)\n- [Muse Ember vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/muse-ember-vs-nemotron-3-5-super-vl.md)\n- [Muse Ember vs Novita AI](https://www.anchorterminal.com/compare/muse-ember-vs-novita-ai.md)\n- [Muse Ember vs OpenAI API](https://www.anchorterminal.com/compare/muse-ember-vs-openai-api.md)\n- [Muse Ember vs Prism Inference](https://www.anchorterminal.com/compare/muse-ember-vs-prism-inference.md)\n- [Muse Ember vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/muse-ember-vs-ramp-router.md)\n- [Muse Ember vs Beam 1.0](https://www.anchorterminal.com/compare/muse-ember-vs-reflection-beam.md)\n- [Muse Ember vs RouterPlus](https://www.anchorterminal.com/compare/muse-ember-vs-routerplus.md)\n- [Muse Ember vs SambaCloud](https://www.anchorterminal.com/compare/muse-ember-vs-sambanova.md)\n- [Muse Ember vs SiliconFlow](https://www.anchorterminal.com/compare/muse-ember-vs-siliconflow.md)\n- [Muse Ember vs Simplismart](https://www.anchorterminal.com/compare/muse-ember-vs-simplismart.md)\n- 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Simplismart](https://www.anchorterminal.com/compare/openrouter-vs-simplismart.md)\n- [OpenRouter vs StepFun API](https://www.anchorterminal.com/compare/openrouter-vs-stepfun-api.md)\n- [OpenRouter vs SWE-2 Flash](https://www.anchorterminal.com/compare/openrouter-vs-swe-2-flash.md)\n- [OpenRouter vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/openrouter-vs-tencent-tokenhub.md)\n- [OpenRouter vs Together AI Inference](https://www.anchorterminal.com/compare/openrouter-vs-together-inference.md)\n- [OpenRouter vs Vercel AI Gateway](https://www.anchorterminal.com/compare/openrouter-vs-vercel-ai-gateway.md)\n- [OpenRouter vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/openrouter-vs-vertex-ai.md)\n- [OpenRouter vs xAI API (Grok)](https://www.anchorterminal.com/compare/openrouter-vs-xai-api.md)\n- [Antseed vs OpenRouter](https://www.anchorterminal.com/compare/antseed-vs-openrouter.md)\n- [Eden AI vs OpenRouter](https://www.anchorterminal.com/compare/eden-ai-vs-openrouter.md)\n- [Hugging Face Inference Providers vs OpenRouter](https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-openrouter.md)\n- [LiteLLM vs OpenRouter](https://www.anchorterminal.com/compare/litellm-vs-openrouter.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-09", "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": 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