{
  "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": "Router.com (Ramp Router) scores 53.7 (D) on agent readiness against Muse Ember's 51.8 (D), and leads in 5 of 7 scored categories. Muse Ember leads on reliability.",
    "b": {
      "slug": "ramp-router",
      "name": "Router.com (Ramp Router)",
      "vendor": "Ramp",
      "vendorUrl": "https://router.com",
      "kind": "router",
      "category": "inference",
      "summary": "Router.com (Ramp Router) is Ramp's LLM gateway. One API key reaches OpenAI, Anthropic, xAI and open-weight models through OpenAI Responses, Chat Completions and Anthropic Messages endpoints, with fallbacks, Flex-tier routing, shadow testing and benchmark aliases.",
      "url": "https://www.anchorterminal.com/tools/ramp-router",
      "markdownUrl": "https://www.anchorterminal.com/tools/ramp-router.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/ramp-router.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/ramp-router.json",
      "dns": "ramp-router.grade.anchorterminal.com",
      "repo": "https://github.com/ramp-public/ramp-cli",
      "license": "Closed service under the Router Terms of Service (last updated 31 August 2026). The Ramp CLI that configures coding agents for Router is MIT.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.router.com/v1",
      "packages": [
        {
          "registry": "npm",
          "name": "@ramp/router"
        }
      ],
      "auth": "api-key",
      "authNotes": "A Router API key, sent as `Authorization: Bearer` or `X-Api-Key`. A person signs up in the browser with Sign in with Ramp, or by email or Google with a business email address on a business domain (Gmail, Outlook, iCloud, Proton and similar are refused); other people can ask router@ramp.com for manual onboarding. Keys are created on the dashboard's API keys page and shown once, or by the Ramp CLI after browser approval. Each key can carry a lifetime or periodic spend cap and be locked, unlocked or revoked (https://docs.router.com/api/endpoint.md, https://docs.router.com/resources/signup-eligibility.md).",
      "pricing": "usage",
      "pricingNotes": "Routing is free through 2026, and models are billed at list price per 1M tokens from account credit. Router.com says the first $26 of credits are free. Requests served with the caller's own provider keys carry no Router charge, unless they fall back to Router's shared key. No routing price after 2026 was found. Per-model prices are public at https://router.com/models and https://docs.router.com/supported-models.md.",
      "priceSummary": "0% fee",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs at https://docs.router.com (all 41 Markdown pages read on 27 October 2026). Calls draw on account credit, and a 402 means the account has no available credit.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": null,
        "npmWeekly": 1667,
        "pypiWeekly": null,
        "asOf": "2026-10-27"
      },
      "docsUrl": "https://docs.router.com",
      "llmsTxt": "https://docs.router.com/llms.txt",
      "capabilities": [
        "inference.router",
        "inference.llm",
        "inference.decision"
      ],
      "tags": [
        "hosted",
        "router",
        "closed-source",
        "usage-priced",
        "prepaid",
        "free-credit",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "streaming",
        "prompt-caching",
        "cli",
        "new"
      ],
      "lastRelease": "2026-11-03",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 53.7,
        "grade": "D",
        "agentReady": false,
        "rank": 944,
        "ranked": true,
        "rankOf": 1515,
        "categoryRank": 30,
        "methodology": "0.7",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 77,
          "maintenance": 59,
          "payments": 40,
          "reliability": 22,
          "schema": 58,
          "security": 66,
          "transparency": 64
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-11-04"
        },
        "negative": 0,
        "verdict": "Detailed Markdown docs with typed error codes, per-model capability data and routing an agent can set per request. No OpenAPI document, status page, changelog or published rate limits were found. Signup needs a US business email in a browser, and Ramp records prompts and outputs for a year by default unless switched off.",
        "bestFor": "Teams in the US that want one key for OpenAI, Anthropic, xAI and open-weight models, with routing to cheaper tiers and per-request cost, and can switch off content recording.",
        "strengths": [
          "llms.txt and a Markdown copy of every docs page, with a field table for each endpoint and an error reference with an action per code",
          "`GET /v1/models` returns limits, tool, structured-output, caching and reasoning support, and per-provider prices for each model",
          "Fallback lists of up to 15 provider, model and tier candidates, with timeouts that bound each attempt",
          "Every response names the serving provider, and Responses calls return `usage.cost` in USD",
          "Routing is free through 2026, BYOK requests carry no Router charge, and the first $26 of credits are free"
        ],
        "weaknesses": [
          "Ramp-side content recording is on by default and keeps prompts, outputs and tool calls for one year",
          "No OpenAPI document, status page, changelog, SLA or published rate limits were found",
          "Signup needs a US business email domain or Sign in with Ramp, in a browser",
          "No batch, embeddings or files routes, and Chat Completions lacks fallback lists and cost",
          "No routing price after 31 December 2026 was found"
        ],
        "agentNotes": [
          "Switch off content recording in Settings before sending private data. It is on by default and keeps prompts and outputs for a year",
          "Read model ids from `GET /v1/models` at runtime. Ids are account-specific, an unknown one is a 404, and Gemini ids need your own Google key",
          "Use `POST /v1/responses` with a `models` list for fallbacks. Router stops falling back once a stream has started",
          "Set `fallback_timeout` and `provider_timeout`, or `allow_flex_tier: false`, when latency matters. Flex routing is on by default",
          "Treat both `401 invalid_api_key` and `401 api_key_deactivated` as a possibly locked key, and stop retrying on `402`"
        ],
        "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": 53.7
          }
        ],
        "editorialScores": {
          "ergonomics": 77,
          "maintenance": 59,
          "payments": 40,
          "reliability": 22,
          "schema": 58,
          "security": 66,
          "transparency": 50
        },
        "provenanceScore": 77,
        "checked": {
          "categories": {
            "ergonomics": "2026-11-04",
            "maintenance": "2026-11-04",
            "payments": "2026-11-04",
            "reliability": "2026-11-04",
            "schema": "2026-11-04",
            "security": "2026-11-04",
            "transparency": "2026-11-04"
          },
          "last": "2026-11-04",
          "lastMoved": "2026-11-04",
          "oldest": "2026-11-04",
          "stale": false,
          "staleAfterDays": 90
        }
      },
      "connect": {
        "install": "curl -fsSL https://router.com/install.sh | sh   # Ramp CLI, configures Claude Code, Codex, OpenCode, Pi, Hermes or Conductor",
        "http": "curl https://api.router.com/v1/responses \\\n  -H \"Authorization: Bearer $RAMP_ROUTER_API_KEY\" \\\n  -H \"Content-Type: application/json\" \\\n  -d '{\"models\":[\"openai:gpt-5.4-mini\",\"fireworks:accounts/fireworks/models/kimi-k3\"],\"input\":\"Reply with one word: pong.\",\"max_output_tokens\":16}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.router",
        "tool": "https://letme.dev/ramp-router"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Routing fee",
          "unit": "pct",
          "usd": 0,
          "note": "Free through 2026. Models are billed at list price"
        },
        {
          "item": "Claude Opus 5.5 input",
          "unit": "1m-tokens",
          "usd": 4,
          "note": "claude-opus-5-5, 1,000,000-token context"
        },
        {
          "item": "Claude Opus 5.5 output",
          "unit": "1m-tokens",
          "usd": 20
        },
        {
          "item": "GPT-6.1 Sol input",
          "unit": "1m-tokens",
          "usd": 2,
          "note": "gpt-6.1-sol, 1,050,000-token context"
        },
        {
          "item": "GPT-6.1 Sol output",
          "unit": "1m-tokens",
          "usd": 10
        },
        {
          "item": "Kimi K3 input",
          "unit": "1m-tokens",
          "usd": 3,
          "note": "kimi-k3, served by Fireworks or Baseten"
        },
        {
          "item": "Kimi K3 output",
          "unit": "1m-tokens",
          "usd": 15
        }
      ],
      "provenance": {
        "legalEntity": "Ramp Business Corporation",
        "domain": "router.com",
        "domainRegistered": "1995-07-26",
        "endpointOnVendorDomain": true,
        "terms": "https://ramp.com/legal/developer-terms/developer-terms/router-terms-of-service",
        "privacy": "https://ramp.com/legal/privacy-terms/privacy-terms/router-privacy-notice",
        "statusPage": "",
        "changelog": "",
        "securityTxt": "valid",
        "checked": "2026-11-04",
        "notes": [
          "The Router Terms of Service page renders only with JavaScript. The legal entity was read from the legal site's script files on 27 October, a reading this run no longer counts, and is kept as recorded pending a ruling.",
          "The Router Privacy Notice URL linked from router.com answers 301 to Ramp's general privacy policy. The docs FAQ and model pages now link Ramp's general privacy policy directly.",
          "No status page found. status.router.com does not resolve, router.com/status answers 404, and no status link appears in the docs or on router.com.",
          "No changelog found. The docs index lists none. The Ramp CLI's tagged releases are the only dated release record.",
          "router.com/.well-known/security.txt gives security-external@ramp.com as the contact and expires on 18 March 2027.",
          "router.com robots.txt carries Content-Signal search=yes, ai-input=yes, ai-train=yes.",
          "RDAP gives router.com a registration date of 26 July 1995 and Cloudflare, Inc. as registrar, per the 27 October check, so the domain predates Ramp. The earlier API host router-api.ramp.com still answered on 27 October."
        ],
        "score": 77
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/ramp-router.json",
      "live": {
        "slug": "ramp-router",
        "probe": {
          "target": "https://api.router.com/v1",
          "method": "get",
          "lastAt": "2026-11-09T20:50:09.339390157Z",
          "lastOk": true,
          "lastStatus": 401,
          "lastMs": 338,
          "lastNote": "asks for credentials",
          "authRequired": true,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 363,
          "p95ms24h": 444,
          "samples24h": 244,
          "samples30d": 3119,
          "days": [
            {
              "date": "2026-10-27",
              "probes": 3,
              "ok": 3
            },
            {
              "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": "2026-10-27T00:00:00Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "ramp-public/ramp-cli",
            "version": "v0.2.94",
            "released": "2026-11-04",
            "seenAt": "2026-11-09T02:54:36.006744534Z"
          },
          {
            "registry": "npm",
            "name": "@ramp/router",
            "version": "0.2.94",
            "seenAt": "2026-11-09T02:54:35.080431467Z"
          }
        ],
        "githubStars": 53,
        "npmWeekly": 1309,
        "securityTxt": {
          "url": "https://router.com/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-03-18T19:00:00.000Z",
          "checkedAt": "2026-11-09T16:05:25.673332956Z"
        },
        "llmsTxt": {
          "url": "https://docs.router.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-11-09T15:40:45.607907728Z"
        },
        "domain": {
          "domain": "router.com",
          "registered": "1995-07-26",
          "source": "https://rdap.verisign.com/com/v1/domain/router.com",
          "checkedAt": "2026-11-08T14:57:45.698445432Z"
        },
        "pages": [
          {
            "url": "https://ramp.com/legal/privacy-terms/privacy-terms/router-privacy-notice",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-11-09T15:48:58.552994979Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e3b0c44298fc"
          },
          {
            "url": "https://ramp.com/legal/developer-terms/developer-terms/router-terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-11-09T15:48:54.483458362Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "e3b0c44298fc"
          }
        ],
        "github": {
          "repo": "ramp-public/ramp-cli",
          "checkedAt": "2026-11-09T09:59:14.129815324Z",
          "stars": 53,
          "archived": false,
          "issuesEnabled": true,
          "pushedAt": "2026-11-04T21:50:32Z",
          "openIssues": 2,
          "openPRs": 5,
          "issuesOpened90d": 1,
          "issuesClosed90d": 0,
          "prsMerged90d": 0,
          "ci": {
            "branch": "main",
            "runs": 50,
            "success": 29,
            "failure": 21,
            "other": 0,
            "latest": "failure",
            "latestAt": "2026-11-04T21:53:46Z"
          },
          "replies": {
            "sampled": 2,
            "unanswered": 2
          }
        },
        "updatedAt": "2026-11-09T20:50:09.339390157Z"
      },
      "streak": {
        "days": 13,
        "from": "2026-10-27",
        "sinceWatching": true,
        "best": 13
      }
    },
    "edges": [
      {
        "by": 20,
        "category": "payments",
        "leads": "ramp-router",
        "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 x402, MPP or L402 in any of the 41 docs pages. Calls draw on account credit (0). Per-token prices for every model are public at router.com/models and in the supported-models page without a login (20). Router.com says routing is free through 2026 and the first $26 of credits are free, and BYOK requests carry no Router charge. We did not sign up to confirm that no card is asked for (20). A person signs up in the browser with a US business email or Sign in with Ramp, and the CLI creates keys only after browser approval (0)."
        },
        "scores": {
          "a": 20,
          "b": 40
        }
      },
      {
        "by": 18,
        "category": "reliability",
        "leads": "muse-ember",
        "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": "Hosted reading. No status page found. status.router.com still does not resolve on 4 November, router.com/status answers 404, and neither the docs nor router.com link one (0). No readable incident history (5). No request or token rate limits are published. The docs say limits vary by model and list only technical limits, a 100 MiB body, 15 candidates and 100 keys per user (0). The errors page passes through provider `retry-after` and `retry-after-ms`, tells clients to respect them, gives a retry or fallback action for every 4xx and 5xx code, says retrying a 501 unchanged won't help and that a failed fallback candidate is not retried, and the fallbacks guide says truncated attempts are billed on top of later attempts. No idempotency key exists for the generation call that starts billing, so this is safe-retry guidance without keys (12). No SLA found in the docs or on router.com (0). The public API carries no beta label in the docs, and the docs llms.txt, re-read on 4 November, still says to treat 'beta pricing, limits, and enterprise controls as subject to change'. A 27 October reading of Ramp's product schedule came from the legal site's script and is no longer counted, so the line keeps its earlier partial value (5 of 10). 0 + 5 + 0 + 12 + 0 + 5 = 22."
        },
        "scores": {
          "a": 40,
          "b": 22
        }
      },
      {
        "by": 13,
        "category": "maintenance",
        "leads": "ramp-router",
        "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": "Router, read on the model lines for a closed service. The Ramp CLI that ships the `router` commands tagged v0.2.91 on 3 November 2026, a release that changes `router.py` and `router_credentials.py`, one of 81 tags since 6 August (30). Models carry a `deprecated` status and the docs list deprecated and retired models, but no notice period is stated, and the Baseten retirement note gives no date and says requests aren't redirected (4 of 12). Provider-specific Baseten ids and several Fireworks models were retired without dates. The API host moved from router-api.ramp.com to api.router.com, and the old host still answers (3 of 8). No public API changelog. Support is a dashboard button and router@ramp.com, not tested (5 of 15). ramp-cli issue replies were not read, because GitHub's API wasn't available to this session (3 of 10). No API SDK. The Ramp CLI (MIT, npm @ramp/router and @ramp/cli, tagged v0.2.91 in the repository, Homebrew; npm itself not read) sets up agents and keys (7 of 15). The CLI repository has CI, build, npm and router-integration workflows and a tests folder, with 46 commit days since 29 July. ci.yml runs `cargo test` and `pytest` on pushes to main, and the results were not readable (7 of 10)."
        },
        "scores": {
          "a": 46,
          "b": 59
        }
      },
      {
        "by": 11,
        "category": "transparency",
        "leads": "ramp-router",
        "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. The Router Terms of Service, Router Privacy Notice and Provider Schedule render only with JavaScript. Their 27 October readings came from the legal site's script and are no longer counted, so the lines resting on them are held, as on ramp. The CLI is MIT (16 of 30). The docs FAQ states the one-year default recording, the opt-out and the PII step, and links Ramp's general privacy policy. Every link to the Router Privacy Notice answers 301 to that general policy (16 of 30). No deprecation policy found, and model retirements in the docs carry no dates (5 of 20). The docs FAQ names the providers whose infrastructure runs the models, says all models run on US infrastructure and points to the Provider Schedule for provider retention terms. No Router subprocessor list was found (13 of 20)."
        },
        "scores": {
          "a": 53,
          "b": 64
        }
      },
      {
        "by": 5,
        "category": "ergonomics",
        "leads": "ramp-router",
        "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": "Router, read on the model lines (tool use, structured output, caching, context, batch, SDKs, errors). Tools pass through on Responses, Messages and Chat Completions, and `GET /v1/models` reports `tools.supported` and `parallel` per model, with `null` where Router doesn't know. Behaviour depends on the model (16 of 20). The docs say JSON Schema output is expected to work across providers subject to model support, and each model carries a `structured_outputs` flag. A request the provider can't represent is a 501 (12 of 15). Cache read and write prices per model, a `prompt_cache_key` session lease of 5 or 30 minutes that keeps a session on the provider with a warm cache, and `cache_control` on Messages (14 of 15). Contexts up to 1,050,000 tokens on GPT-6.1 Sol and 1,048,576 on Kimi K3, a judgement call since a router has no default model (15). No batch route; the docs say Router doesn't serve batches (0 of 10). No SDK of its own. The OpenAI and Anthropic SDKs work with a changed base URL, framework setups are documented, and the MIT Ramp CLI configures six coding agents (5 of 10). Typed codes for every error, a `limit` object naming the cap and who set it, an all-candidates-failed summary, request and trace ids on every response and the serving provider in a header (15)."
        },
        "scores": {
          "a": 72,
          "b": 77
        }
      }
    ],
    "facts": [
      {
        "a": "Model API",
        "b": "Model router",
        "name": "Kind"
      },
      {
        "a": "Meta",
        "b": "Ramp",
        "name": "Vendor"
      },
      {
        "a": "https://api.meta.ai/v1",
        "b": "https://api.router.com/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": "Closed service under the Router Terms of Service (last updated 31 August 2026). The Ramp CLI that configures coding agents for Router is MIT.",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-11-09",
        "b": "2026-11-03",
        "name": "Last release"
      },
      {
        "a": "2026-10-02",
        "b": "couldn't be read",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "couldn't be read",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "couldn't be read",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "1.7k npm/wk",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Router.com (Ramp Router) scores 53.7 (D) on agent readiness against Muse Ember's 51.8 (D), and leads in 5 of 7 scored categories. Muse Ember leads on reliability.",
        "question": "Which is better for AI agents, Muse Ember or Router.com (Ramp Router)?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Muse Ember and Router.com (Ramp Router) need an API key?"
      },
      {
        "answer": "Yes. Muse Ember has a hosted endpoint at https://api.meta.ai/v1 and Router.com (Ramp Router) at https://api.router.com/v1.",
        "question": "Can an agent call Muse Ember and Router.com (Ramp Router) without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 40 against 22"
        ],
        "also": null,
        "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": [
          "Agent ergonomics, 77 against 72",
          "Payments \u0026 pricing, 40 against 20",
          "Maintenance \u0026 community, 59 against 46",
          "Transparency \u0026 trust, 64 against 53"
        ],
        "also": null,
        "goodFor": "Teams in the US that want one key for OpenAI, Anthropic, xAI and open-weight models, with routing to cheaper tiers and per-request cost, and can switch off content recording.",
        "slug": "ramp-router",
        "watchFor": "Ramp-side content recording is on by default and keeps prompts, outputs and tool calls for one year"
      }
    ],
    "history": {
      "muse-ember": null,
      "ramp-router": [
        {
          "causes": [
            "correction"
          ],
          "date": "2026-11-04",
          "delta": -0.6,
          "from": 54.3,
          "fromGrade": "C",
          "to": 53.7,
          "toGrade": "D"
        },
        {
          "causes": [
            "method"
          ],
          "date": "2026-10-30",
          "delta": -0.2,
          "from": 54.5,
          "fromGrade": "C",
          "to": 54.3,
          "toGrade": "C"
        }
      ]
    },
    "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-ramp-router.json",
        "title": "Amazon Bedrock vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-ramp-router"
      },
      {
        "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/anthropic-api-vs-ramp-router.json",
        "title": "Claude API vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-ramp-router"
      },
      {
        "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-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/azure-openai-vs-ramp-router.json",
        "title": "Azure OpenAI in Foundry Models vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/azure-openai-vs-ramp-router"
      },
      {
        "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/blockrun-ai-vs-ramp-router.json",
        "title": "BlockRun.AI vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-ramp-router"
      },
      {
        "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/cerebras-inference-vs-ramp-router.json",
        "title": "Cerebras Inference vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-ramp-router"
      },
      {
        "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-ai-gateway-vs-ramp-router.json",
        "title": "Cloudflare AI Gateway vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember.json",
        "title": "Cloudflare Workers AI vs Muse Ember",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-muse-ember"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-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/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/cohere-chat-vs-ramp-router.json",
        "title": "Cohere Chat API (Command models) vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-ramp-router"
      },
      {
        "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/deepinfra-vs-ramp-router.json",
        "title": "DeepInfra vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-ramp-router"
      },
      {
        "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/deepseek-api-vs-ramp-router.json",
        "title": "DeepSeek API vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-ramp-router"
      },
      {
        "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/elorian-glimpse-vs-ramp-router.json",
        "title": "Glimpse vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-ramp-router"
      },
      {
        "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/fireworks-inference-vs-ramp-router.json",
        "title": "Fireworks AI Inference vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-ramp-router"
      },
      {
        "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/gemini-api-vs-ramp-router.json",
        "title": "Gemini Developer API vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-ramp-router"
      },
      {
        "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/groq-vs-ramp-router.json",
        "title": "GroqCloud vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/groq-vs-ramp-router"
      },
      {
        "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/inkling-2-small-vs-ramp-router.json",
        "title": "Inkling 2 Small vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router"
      },
      {
        "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/jais-3-vs-ramp-router.json",
        "title": "Jais 3 vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-ramp-router"
      },
      {
        "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/meta-model-api-vs-ramp-router.json",
        "title": "Meta Model API vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-ramp-router"
      },
      {
        "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/minimax-api-vs-ramp-router.json",
        "title": "MiniMax API vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/minimax-api-vs-ramp-router"
      },
      {
        "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/mistral-api-vs-ramp-router.json",
        "title": "Mistral AI API vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-ramp-router"
      },
      {
        "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-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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-ramp-router.json",
        "title": "Muse Spark Open vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-ramp-router.json",
        "title": "Nemotron 3.5 Super VL vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-ramp-router.json",
        "title": "Novita AI vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-ramp-router.json",
        "title": "OpenAI API vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-ramp-router"
      },
      {
        "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/prism-inference-vs-ramp-router.json",
        "title": "Prism Inference vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-reflection-beam.json",
        "title": "Router.com (Ramp Router) vs Beam 1.0",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-reflection-beam"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-sambanova.json",
        "title": "Router.com (Ramp Router) vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-siliconflow.json",
        "title": "Router.com (Ramp Router) vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-simplismart.json",
        "title": "Router.com (Ramp Router) vs Simplismart",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-simplismart"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-stepfun-api.json",
        "title": "Router.com (Ramp Router) vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash.json",
        "title": "Router.com (Ramp Router) vs SWE-2 Flash",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-together-inference.json",
        "title": "Router.com (Ramp Router) vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-vertex-ai.json",
        "title": "Router.com (Ramp Router) vs Vertex AI (Gemini Enterprise Agent Platform)",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-vertex-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-xai-api.json",
        "title": "Router.com (Ramp Router) vs xAI API (Grok)",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-xai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-ramp-router.json",
        "title": "Antseed vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/eden-ai-vs-ramp-router.json",
        "title": "Eden AI vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/eden-ai-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-ramp-router.json",
        "title": "Hugging Face Inference Providers vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/litellm-vs-ramp-router.json",
        "title": "LiteLLM vs Router.com (Ramp Router)",
        "url": "https://www.anchorterminal.com/compare/litellm-vs-ramp-router"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-routerplus.json",
        "title": "Router.com (Ramp Router) vs RouterPlus",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-routerplus"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-tencent-tokenhub.json",
        "title": "Router.com (Ramp Router) vs Tencent Cloud TokenHub",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-tencent-tokenhub"
      },
      {
        "json": "https://www.anchorterminal.com/compare/ramp-router-vs-vercel-ai-gateway.json",
        "title": "Router.com (Ramp Router) vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/ramp-router-vs-vercel-ai-gateway"
      }
    ],
    "panel": null,
    "scores": [
      {
        "by": 18,
        "edge": "muse-ember",
        "key": "reliability",
        "muse-ember": 40,
        "name": "Reliability",
        "ramp-router": 22,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 2,
        "edge": "muse-ember",
        "key": "schema",
        "muse-ember": 60,
        "name": "Schema \u0026 documentation",
        "ramp-router": 58,
        "weight": 13
      },
      {
        "by": 5,
        "edge": "ramp-router",
        "key": "ergonomics",
        "muse-ember": 72,
        "name": "Agent ergonomics",
        "ramp-router": 77,
        "weight": 13
      },
      {
        "by": 2,
        "edge": "ramp-router",
        "key": "security",
        "muse-ember": 64,
        "name": "Security \u0026 auth",
        "ramp-router": 66,
        "weight": 14
      },
      {
        "by": 20,
        "edge": "ramp-router",
        "key": "payments",
        "muse-ember": 20,
        "name": "Payments \u0026 pricing",
        "ramp-router": 40,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 13,
        "edge": "ramp-router",
        "key": "maintenance",
        "muse-ember": 46,
        "name": "Maintenance \u0026 community",
        "ramp-router": 59,
        "weight": 7
      },
      {
        "by": 11,
        "edge": "ramp-router",
        "key": "transparency",
        "muse-ember": 53,
        "name": "Transparency \u0026 trust",
        "ramp-router": 64,
        "weight": 7
      }
    ],
    "summary": "Router.com (Ramp Router) scores 53.7 (D) on agent readiness against Muse Ember's 51.8 (D), and leads in 5 of 7 scored categories. Muse Ember leads on reliability. 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.",
      "ramp-router": "Detailed Markdown docs with typed error codes, per-model capability data and routing an agent can set per request. No OpenAPI document, status page, changelog or published rate limits were found. Signup needs a US business email in a browser, and Ramp records prompts and outputs for a year by default unless switched off."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/muse-ember-vs-ramp-router",
    "json": "https://www.anchorterminal.com/compare/muse-ember-vs-ramp-router.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/muse-ember-vs-ramp-router.md",
    "mcp": "https://www.anchorterminal.com/mcp",
    "slim": "https://www.anchorterminal.com/compare/muse-ember-vs-ramp-router.min.md"
  },
  "markdown": "Router.com (Ramp Router) scores 53.7 (D) on agent readiness against Muse Ember's 51.8 (D), and leads in 5 of 7 scored categories. Muse Ember leads on reliability. 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- Router.com (Ramp Router): grade D, 53.7/100, rank #944 of 1515. Markdown https://www.anchorterminal.com/tools/ramp-router.md · JSON https://www.anchorterminal.com/api/v1/tools/ramp-router.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\nAhead on:\n- Reliability, 40 against 22\n\nWatch for: No weights and no parameter count published, so it can't be run locally\n\n### Router.com (Ramp Router) (D)\n\nGood for: Teams in the US that want one key for OpenAI, Anthropic, xAI and open-weight models, with routing to cheaper tiers and per-request cost, and can switch off content recording.\n\nAhead on:\n- Agent ergonomics, 77 against 72\n- Payments \u0026 pricing, 40 against 20\n- Maintenance \u0026 community, 59 against 46\n- Transparency \u0026 trust, 64 against 53\n\nWatch for: Ramp-side content recording is on by default and keeps prompts, outputs and tool calls for one year\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Router.com (Ramp Router) +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- Router.com (Ramp Router) (40): No x402, MPP or L402 in any of the 41 docs pages. Calls draw on account credit (0). Per-token prices for every model are public at router.com/models and in the supported-models page without a login (20). Router.com says routing is free through 2026 and the first $26 of credits are free, and BYOK requests carry no Router charge. We did not sign up to confirm that no card is asked for (20). A person signs up in the browser with a US business email or Sign in with Ramp, and the CLI creates keys only after browser approval (0).\n\n### Reliability: Muse Ember +18\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- Router.com (Ramp Router) (22): Hosted reading. No status page found. status.router.com still does not resolve on 4 November, router.com/status answers 404, and neither the docs nor router.com link one (0). No readable incident history (5). No request or token rate limits are published. The docs say limits vary by model and list only technical limits, a 100 MiB body, 15 candidates and 100 keys per user (0). The errors page passes through provider `retry-after` and `retry-after-ms`, tells clients to respect them, gives a retry or fallback action for every 4xx and 5xx code, says retrying a 501 unchanged won't help and that a failed fallback candidate is not retried, and the fallbacks guide says truncated attempts are billed on top of later attempts. No idempotency key exists for the generation call that starts billing, so this is safe-retry guidance without keys (12). No SLA found in the docs or on router.com (0). The public API carries no beta label in the docs, and the docs llms.txt, re-read on 4 November, still says to treat 'beta pricing, limits, and enterprise controls as subject to change'. A 27 October reading of Ramp's product schedule came from the legal site's script and is no longer counted, so the line keeps its earlier partial value (5 of 10). 0 + 5 + 0 + 12 + 0 + 5 = 22.\n\n### Maintenance \u0026 community: Router.com (Ramp Router) +13\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- Router.com (Ramp Router) (59): Router, read on the model lines for a closed service. The Ramp CLI that ships the `router` commands tagged v0.2.91 on 3 November 2026, a release that changes `router.py` and `router_credentials.py`, one of 81 tags since 6 August (30). Models carry a `deprecated` status and the docs list deprecated and retired models, but no notice period is stated, and the Baseten retirement note gives no date and says requests aren't redirected (4 of 12). Provider-specific Baseten ids and several Fireworks models were retired without dates. The API host moved from router-api.ramp.com to api.router.com, and the old host still answers (3 of 8). No public API changelog. Support is a dashboard button and router@ramp.com, not tested (5 of 15). ramp-cli issue replies were not read, because GitHub's API wasn't available to this session (3 of 10). No API SDK. The Ramp CLI (MIT, npm @ramp/router and @ramp/cli, tagged v0.2.91 in the repository, Homebrew; npm itself not read) sets up agents and keys (7 of 15). The CLI repository has CI, build, npm and router-integration workflows and a tests folder, with 46 commit days since 29 July. ci.yml runs `cargo test` and `pytest` on pushes to main, and the results were not readable (7 of 10).\n\n### Transparency \u0026 trust: Router.com (Ramp Router) +11\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- Router.com (Ramp Router) (64): Closed service. The Router Terms of Service, Router Privacy Notice and Provider Schedule render only with JavaScript. Their 27 October readings came from the legal site's script and are no longer counted, so the lines resting on them are held, as on ramp. The CLI is MIT (16 of 30). The docs FAQ states the one-year default recording, the opt-out and the PII step, and links Ramp's general privacy policy. Every link to the Router Privacy Notice answers 301 to that general policy (16 of 30). No deprecation policy found, and model retirements in the docs carry no dates (5 of 20). The docs FAQ names the providers whose infrastructure runs the models, says all models run on US infrastructure and points to the Provider Schedule for provider retention terms. No Router subprocessor list was found (13 of 20).\n\n### Agent ergonomics: Router.com (Ramp Router) +5\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- Router.com (Ramp Router) (77): Router, read on the model lines (tool use, structured output, caching, context, batch, SDKs, errors). Tools pass through on Responses, Messages and Chat Completions, and `GET /v1/models` reports `tools.supported` and `parallel` per model, with `null` where Router doesn't know. Behaviour depends on the model (16 of 20). The docs say JSON Schema output is expected to work across providers subject to model support, and each model carries a `structured_outputs` flag. A request the provider can't represent is a 501 (12 of 15). Cache read and write prices per model, a `prompt_cache_key` session lease of 5 or 30 minutes that keeps a session on the provider with a warm cache, and `cache_control` on Messages (14 of 15). Contexts up to 1,050,000 tokens on GPT-6.1 Sol and 1,048,576 on Kimi K3, a judgement call since a router has no default model (15). No batch route; the docs say Router doesn't serve batches (0 of 10). No SDK of its own. The OpenAI and Anthropic SDKs work with a changed base URL, framework setups are documented, and the MIT Ramp CLI configures six coding agents (5 of 10). Typed codes for every error, a `limit` object naming the cap and who set it, an all-candidates-failed summary, request and trace ids on every response and the serving provider in a header (15).\n\n## Score by category\n\n| Category | Weight | Muse Ember | Router.com (Ramp Router) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 22 | Muse Ember +18 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 58 | Muse Ember +2 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 77 | Router.com (Ramp Router) +5 |\n| Security \u0026 auth | 14% (17.5 this run) | 64 | 66 | Router.com (Ramp Router) +2 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | Router.com (Ramp Router) +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 46 | 59 | Router.com (Ramp Router) +13 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 53 | 64 | Router.com (Ramp Router) +11 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **51.8 · D** | **53.7 · D** | |\n\n## Facts side by side\n\n| Fact | Muse Ember | Router.com (Ramp Router) |\n| --- | --- | --- |\n| Kind | Model API | Model router |\n| Vendor | Meta | Ramp |\n| Hosted endpoint | `https://api.meta.ai/v1` | `https://api.router.com/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 | Closed service under the Router Terms of Service (last updated 31 August 2026). The Ramp CLI that configures coding agents for Router is MIT. |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-09 | 2026-11-03 |\n| Terms last updated | 2026-10-02 | couldn't be read |\n| Privacy policy last updated | couldn't be read | couldn't be read |\n| Customer content may train models | yes | couldn't be read |\n| Terms restrict automated access | not found in the text | couldn't be read |\n| Terms restrict benchmarking | yes | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | yes | couldn't be read |\n| Popularity | none | 1.7k npm/wk |\n\n## How the scores have moved\n\n### Muse Ember\n\nNo score change since it was listed.\n\n### Router.com (Ramp Router)\n\n- -0.6 on 4 November 2026 (C to D): correction\n- -0.2 on 30 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**Router.com (Ramp Router).** Detailed Markdown docs with typed error codes, per-model capability data and routing an agent can set per request. No OpenAPI document, status page, changelog or published rate limits were found. Signup needs a US business email in a browser, and Ramp records prompts and outputs for a year by default unless switched off.\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### Router.com (Ramp Router)\n\n1. Switch off content recording in Settings before sending private data. It is on by default and keeps prompts and outputs for a year\n2. Read model ids from `GET /v1/models` at runtime. Ids are account-specific, an unknown one is a 404, and Gemini ids need your own Google key\n3. Use `POST /v1/responses` with a `models` list for fallbacks. Router stops falling back once a stream has started\n4. Set `fallback_timeout` and `provider_timeout`, or `allow_flex_tier: false`, when latency matters. Flex routing is on by default\n5. Treat both `401 invalid_api_key` and `401 api_key_deactivated` as a possibly locked key, and stop retrying on `402`\n\n## Questions\n\n### Which is better for AI agents, Muse Ember or Router.com (Ramp Router)?\n\nRouter.com (Ramp Router) scores 53.7 (D) on agent readiness against Muse Ember's 51.8 (D), and leads in 5 of 7 scored categories. Muse Ember leads on reliability.\n\n### Do Muse Ember and Router.com (Ramp Router) need an API key?\n\nBoth need an API key.\n\n### Can an agent call Muse Ember and Router.com (Ramp Router) without installing anything?\n\nYes. Muse Ember has a hosted endpoint at https://api.meta.ai/v1 and Router.com (Ramp Router) at https://api.router.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/muse-ember-vs-ramp-router.json, and with the fewest tokens: https://www.anchorterminal.com/compare/muse-ember-vs-ramp-router.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"muse-ember\", \"b\": \"ramp-router\"}`. From a terminal: `anchor compare muse-ember ramp-router`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/muse-ember.json and https://www.anchorterminal.com/api/v1/tools/ramp-router.json\n\n## Other comparisons with Muse Ember or Router.com (Ramp Router)\n\n- [Amazon Bedrock vs Muse Ember](https://www.anchorterminal.com/compare/amazon-bedrock-vs-muse-ember.md)\n- [Amazon Bedrock vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/amazon-bedrock-vs-ramp-router.md)\n- [Claude API vs Muse Ember](https://www.anchorterminal.com/compare/anthropic-api-vs-muse-ember.md)\n- [Claude API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/anthropic-api-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/azure-openai-vs-ramp-router.md)\n- [BlockRun.AI vs Muse Ember](https://www.anchorterminal.com/compare/blockrun-ai-vs-muse-ember.md)\n- [BlockRun.AI vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/blockrun-ai-vs-ramp-router.md)\n- [Cerebras Inference vs Muse Ember](https://www.anchorterminal.com/compare/cerebras-inference-vs-muse-ember.md)\n- [Cerebras Inference vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cerebras-inference-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/cohere-chat-vs-ramp-router.md)\n- [DeepInfra vs Muse Ember](https://www.anchorterminal.com/compare/deepinfra-vs-muse-ember.md)\n- [DeepInfra vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/deepinfra-vs-ramp-router.md)\n- [DeepSeek API vs Muse Ember](https://www.anchorterminal.com/compare/deepseek-api-vs-muse-ember.md)\n- [DeepSeek API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/deepseek-api-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/elorian-glimpse-vs-ramp-router.md)\n- [Fireworks AI Inference vs Muse Ember](https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-ember.md)\n- [Fireworks AI Inference vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/fireworks-inference-vs-ramp-router.md)\n- [Gemini Developer API vs Muse Ember](https://www.anchorterminal.com/compare/gemini-api-vs-muse-ember.md)\n- [Gemini Developer API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/gemini-api-vs-ramp-router.md)\n- [GroqCloud vs Muse Ember](https://www.anchorterminal.com/compare/groq-vs-muse-ember.md)\n- [GroqCloud vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/groq-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/inkling-2-small-vs-ramp-router.md)\n- [Jais 3 vs Muse Ember](https://www.anchorterminal.com/compare/jais-3-vs-muse-ember.md)\n- [Jais 3 vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/jais-3-vs-ramp-router.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/meta-model-api-vs-ramp-router.md)\n- [MiniMax API vs Muse Ember](https://www.anchorterminal.com/compare/minimax-api-vs-muse-ember.md)\n- [MiniMax API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/minimax-api-vs-ramp-router.md)\n- [Mistral AI API vs Muse Ember](https://www.anchorterminal.com/compare/mistral-api-vs-muse-ember.md)\n- [Mistral AI API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/mistral-api-vs-ramp-router.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 OpenRouter](https://www.anchorterminal.com/compare/muse-ember-vs-openrouter.md)\n- [Muse Ember vs Prism Inference](https://www.anchorterminal.com/compare/muse-ember-vs-prism-inference.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- [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- [Muse Spark Open vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/muse-spark-open-vs-ramp-router.md)\n- [Nemotron 3.5 Super VL vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-ramp-router.md)\n- [Novita AI vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/novita-ai-vs-ramp-router.md)\n- [OpenAI API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/openai-api-vs-ramp-router.md)\n- [OpenRouter vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/openrouter-vs-ramp-router.md)\n- [Prism Inference vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/prism-inference-vs-ramp-router.md)\n- [Router.com (Ramp Router) vs Beam 1.0](https://www.anchorterminal.com/compare/ramp-router-vs-reflection-beam.md)\n- [Router.com (Ramp Router) vs SambaCloud](https://www.anchorterminal.com/compare/ramp-router-vs-sambanova.md)\n- [Router.com (Ramp Router) vs SiliconFlow](https://www.anchorterminal.com/compare/ramp-router-vs-siliconflow.md)\n- [Router.com (Ramp Router) vs Simplismart](https://www.anchorterminal.com/compare/ramp-router-vs-simplismart.md)\n- [Router.com (Ramp Router) vs StepFun API](https://www.anchorterminal.com/compare/ramp-router-vs-stepfun-api.md)\n- [Router.com (Ramp Router) vs SWE-2 Flash](https://www.anchorterminal.com/compare/ramp-router-vs-swe-2-flash.md)\n- [Router.com (Ramp Router) vs Together AI Inference](https://www.anchorterminal.com/compare/ramp-router-vs-together-inference.md)\n- [Router.com (Ramp Router) vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/ramp-router-vs-vertex-ai.md)\n- [Router.com (Ramp Router) vs xAI API (Grok)](https://www.anchorterminal.com/compare/ramp-router-vs-xai-api.md)\n- [Antseed vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/antseed-vs-ramp-router.md)\n- [Eden AI vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/eden-ai-vs-ramp-router.md)\n- [Hugging Face Inference Providers vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-ramp-router.md)\n- [LiteLLM vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/litellm-vs-ramp-router.md)\n- [Router.com (Ramp Router) vs RouterPlus](https://www.anchorterminal.com/compare/ramp-router-vs-routerplus.md)\n- [Router.com (Ramp Router) vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/ramp-router-vs-tencent-tokenhub.md)\n- [Router.com (Ramp Router) vs Vercel AI Gateway](https://www.anchorterminal.com/compare/ramp-router-vs-vercel-ai-gateway.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": "Muse Ember vs Router.com (Ramp Router)",
        "url": ""
      }
    ],
    "description": "Router.com scores 53.7 (D) to Muse Ember's 51.8 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.",
    "facts": [
      "Muse Ember D 51.8",
      "Router.com (Ramp Router) D 53.7",
      "scores"
    ],
    "h1": "Muse Ember vs Router.com (Ramp Router)",
    "image": "https://www.anchorterminal.com/assets/og/default.png",
    "path": "/compare/muse-ember-vs-ramp-router",
    "published": "2026-10-01",
    "section": "tools",
    "title": "Muse Ember vs Router.com for AI agents in 2026: scores and prices",
    "toc": null,
    "updated": "2026-11-09",
    "url": "https://www.anchorterminal.com/compare/muse-ember-vs-ramp-router"
  },
  "tokens": {
    "markdown": 6300,
    "slim": 980
  },
  "version": 1
}
