{ "data": { "a": { "slug": "meta-model-api", "name": "Meta Model API", "vendor": "Meta", "vendorUrl": "https://dev.meta.ai", "kind": "model", "category": "inference", "summary": "Meta Model API is Meta's pay-as-you-go API for its hosted Muse models, including Muse Wonder and Muse Spark, through OpenAI-style Responses and Chat Completions endpoints and an Anthropic-style Messages endpoint, plus image, speech and segmentation routes.", "url": "https://www.anchorterminal.com/tools/meta-model-api", "markdownUrl": "https://www.anchorterminal.com/tools/meta-model-api.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/meta-model-api.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/meta-model-api.json", "license": "Closed service under the Meta Model API Terms of Service (last updated 9 October 2026), with Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, as the contracting party.", "transports": [ "http" ], "remoteUrl": "https://api.meta.ai/v1", "packages": [], "auth": "api-key", "authNotes": "A bearer API key created on the API keys tab of the Model API dashboard after a browser sign-up with email, mobile number, Facebook, Google or GitHub. Keys belong to a team, are shown once and are revoked by deletion. No key scopes were found, and every key on a team shares the team's rate limits.", "pricing": "usage", "pricingNotes": "Muse Wonder is $4.00 per million input tokens, $0.20 cached and $20.00 per million output tokens, Standard mode only (checked 2026-10-12). Muse Spark is $1.25, $0.15 and $4.25, or $0.10, $0.002 and $0.20 in Contributor mode, where Meta may train on the content. Billed in arrears to a card. No free allowance was found.", "priceSummary": "from $1.25 / 1M in", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in dev.meta.ai/llms.txt, the pricing page, the API reference or the billing help pages, checked 12 October 2026. Usage is charged to a card at a payment threshold or on the 1st of each month.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-12" }, "docsUrl": "https://dev.meta.ai/docs/overview", "llmsTxt": "https://dev.meta.ai/llms.txt", "capabilities": [ "inference.llm", "image.generate", "image.edit", "speech.stt", "speech.streaming" ], "tags": [ "official", "hosted", "model", "usage-priced", "closed-source", "llms-txt", "multimodal", "streaming", "openai-compatible", "anthropic-compatible", "card-required" ], "lastRelease": "2026-10-12", "graded": true, "anchor": { "graded": true, "score": 52.5, "grade": "D", "agentReady": false, "rank": 867, "ranked": true, "rankOf": 1218, "categoryRank": 25, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 75, "maintenance": 46, "payments": 20, "reliability": 40, "schema": 60, "security": 64, "transparency": 55 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-12" }, "negative": 0, "verdict": "Meta Model API serves Muse Wonder, in preview since 12 October 2026, and Muse Spark with 1M-token context, constrained JSON Schema output, automatic prompt caching and per-token prices published without a login. Standard-mode content is not used for training. There's no free allowance, status history, OpenAPI file, deprecation policy or way to force a tool call.", "bestFor": "Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default.", "strengths": [ "Muse Wonder and Muse Spark take text, image, video, audio and PDF input with a 1,048,576-token context window", "Per-token prices, per-model rate limits and rate-limit headers published without a login", "Content sent in Standard mode is not used to train Meta models, and training use is opt-in through `-contributor` model IDs", "Responses, Chat Completions and Messages endpoints, so the OpenAI and Anthropic SDKs work with a base-URL change", "llms.txt and a Markdown copy of every docs page, with an error guide that gives the Retry-After value for each retryable error" ], "weaknesses": [ "Muse Wonder is labelled a preview, and no deprecation policy or notice period was found", "No free API allowance found, and billing is set up with a card", "No status page with history. The docs' status link redirects to the home page, and `/v1/status` reports only the current state", "`tool_choice` accepts only `auto`, so a call can't be forced or ruled out", "No OpenAPI file, batch endpoint or Model API changelog found, and API keys have no scopes" ], "agentNotes": [ "Use `muse-wonder-1.0` for long multi-step work and `muse-spark-1.3` for cheaper, high-volume calls. Both take the same requests", "Keep personal or confidential data away from `-contributor` model IDs. Meta may train on that content", "Honour Retry-After on 429 and 503, which is 60 seconds for `service_overloaded`, and check `GET https://api.meta.ai/v1/status`, which needs no key", "Pass the key to the OpenAI SDK explicitly or set `OPENAI_API_KEY`. The SDK doesn't read `MODEL_API_KEY`", "Leave `tool_choice` at `auto`. The docs say `none` and `required` are not supported" ], "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": 52.5 } ], "editorialScores": { "ergonomics": 75, "maintenance": 46, "payments": 20, "reliability": 40, "schema": 60, "security": 64, "transparency": 41 }, "provenanceScore": 68, "checked": { "categories": { "ergonomics": "2026-10-12", "maintenance": "2026-10-12", "payments": "2026-10-12", "reliability": "2026-10-12", "schema": "2026-10-12", "security": "2026-10-12", "transparency": "2026-10-12" }, "last": "2026-10-12", "lastMoved": "2026-10-27", "oldest": "2026-10-12", "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 '{\"model\": \"muse-spark-1.3\", \"input\": \"What is the capital of France?\"}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/meta-model-api" }, "sameCompany": [ "muse-spark-open", "muse-code", "muse-glimmer-30b" ], "area": "models", "unitPrices": [ { "item": "Muse Wonder input", "unit": "1m-tokens", "usd": 4, "note": "Standard mode, muse-wonder-1.0. No long-context premium." }, { "item": "Muse Wonder cached input", "unit": "1m-tokens", "usd": 0.2 }, { "item": "Muse Wonder output", "unit": "1m-tokens", "usd": 20 }, { "item": "Muse Spark input", "unit": "1m-tokens", "usd": 1.25, "note": "Standard mode, muse-spark-1.3, 1.2 and 1.1." }, { "item": "Muse Spark cached input", "unit": "1m-tokens", "usd": 0.15 }, { "item": "Muse Spark output", "unit": "1m-tokens", "usd": 4.25 }, { "item": "Muse Spark input, Contributor mode", "unit": "1m-tokens", "usd": 0.1, "note": "Meta may use the content to train its models." }, { "item": "Muse Spark output, Contributor mode", "unit": "1m-tokens", "usd": 0.2, "note": "Cached input is $0.002 per million tokens." }, { "item": "Web search grounding", "unit": "1k-requests", "usd": 2.5, "note": "Per 1,000 search queries, on top of token cost." }, { "item": "Muse Image generated image", "unit": "image", "usd": 0.01 } ], "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": "2026-10-12", "notes": [ "The terms (last updated 9 October 2026) are an agreement with Meta Platforms, Inc., or Meta Platforms Ireland Limited for users in the European Region. The model card names the same two.", "The privacy field is the Meta Privacy Policy, which the terms link. www.facebook.com's robots.txt asks readers like ours not to fetch it, as the 8 October policy reading records, so it wasn't read. The terms also link a subprocessor list at forwork.meta.com/legal/mfw-subprocessor-list/ and the Meta Global Processor Terms, neither of which was read.", "RDAP for meta.ai gives a registration date of 16 December 2017. The API answers at api.meta.ai.", "No status page. The error guide links dev.meta.ai/status, which redirects to the home page. `GET /v1/status` is an unauthenticated health endpoint with no history.", "No Model API changelog was found. The only changelog on dev.meta.ai is Muse Code's.", "dev.meta.ai/.well-known/security.txt returns 404. www.meta.ai's robots.txt disallows ClaudeBot, so its security.txt wasn't requested. www.facebook.com/.well-known/security.txt is valid until 11 November 2026 and points to bugbounty.meta.com.", "developer.meta.com/ai/ redirects to dev.meta.ai." ], "score": 68 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/meta-model-api.json", "live": { "slug": "meta-model-api", "probe": { "target": "https://api.meta.ai/v1", "method": "get", "lastAt": "2026-10-28T01:25:53.211546907Z", "lastOk": true, "lastStatus": 404, "lastMs": 65, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 66, "p95ms24h": 147, "samples24h": 250, "samples30d": 3822, "days": [ { "date": "2026-10-12", "probes": 33, "ok": 33 }, { "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": 15, "ok": 15 } ] }, "securityTxt": { "url": "https://meta.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-27T15:31:26.149873721Z" }, "llmsTxt": { "url": "https://dev.meta.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-27T14:58:28.371234532Z" }, "domain": { "domain": "meta.ai", "registered": "2017-12-16", "source": "https://rdap.identitydigital.services/rdap/domain/meta.ai", "checkedAt": "2026-10-25T13:54:47.988985159Z" }, "pages": [ { "url": "https://dev.meta.ai/legal/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-10-27T03:41:33.370994029Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0ef10c66f1b3" } ], "updatedAt": "2026-10-28T01:25:53.211546907Z" } }, "answer": "Router.com (Ramp Router) scores 54.5 (C) on agent readiness against Meta Model API's 52.5 (D), and leads in 5 of 7 scored categories. Meta Model API 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", "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": "2026-10-27", "graded": true, "anchor": { "graded": true, "score": 54.5, "grade": "C", "agentReady": false, "rank": 798, "ranked": true, "rankOf": 1218, "categoryRank": 21, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 77, "maintenance": 59, "payments": 40, "reliability": 25, "schema": 58, "security": 66, "transparency": 67 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-27" }, "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": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 54.5 } ], "editorialScores": { "ergonomics": 77, "maintenance": 59, "payments": 40, "reliability": 25, "schema": 58, "security": 66, "transparency": 50 }, "provenanceScore": 83, "checked": { "categories": { "ergonomics": "2026-10-27", "maintenance": "2026-10-27", "payments": "2026-10-27", "reliability": "2026-10-27", "schema": "2026-10-27", "security": "2026-10-27", "transparency": "2026-10-27" }, "last": "2026-10-27", "oldest": "2026-10-27", "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": "2026-10-27", "notes": [ "The Router Terms of Service (last updated 31 August 2026) name Ramp Business Corporation, 28 W. 23rd Street, Floor 2, New York, NY 10010. The legal pages render with JavaScript, and the documents were read from the legal site's own script files.", "The Router Privacy Notice URL linked from router.com and the docs answers 301 to Ramp's general privacy policy. The notice itself, last updated 19 August 2026, exists only in the legal site's script bundle.", "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 sitemap has none, and /changelog.md on docs.router.com returns the docs app shell. 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.", "RDAP gives router.com a registration date of 26 July 1995 and Cloudflare, Inc. as registrar, so the domain predates Ramp. The earlier API host router-api.ramp.com still answers." ], "score": 83 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/ramp-router.json", "live": { "slug": "ramp-router", "probe": { "target": "https://api.router.com/v1", "method": "get", "lastAt": "2026-10-28T01:25:59.300636114Z", "lastOk": true, "lastStatus": 401, "lastMs": 326, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 329, "p95ms24h": 429, "samples24h": 18, "samples30d": 18, "days": [ { "date": "2026-10-27", "probes": 3, "ok": 3 }, { "date": "2026-10-28", "probes": 15, "ok": 15 } ] }, "updatedAt": "2026-10-28T01:25:59.300636114Z" } }, "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": "HTTP", "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 service under the Meta Model API Terms of Service (last updated 9 October 2026), with Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, as the contracting party.", "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": "2026-10-12", "b": "2026-10-27", "name": "Last release" }, { "a": "", "b": "", "name": "Terms last updated" }, { "a": "couldn't be read", "b": "", "name": "Privacy policy last updated" }, { "a": "", "b": "", "name": "Customer content may train models" }, { "a": "", "b": "", "name": "Terms restrict automated access" }, { "a": "", "b": "", "name": "Terms restrict benchmarking" }, { "a": "", "b": "", "name": "Terms or service can change without notice" }, { "a": "", "b": "", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "1.7k npm/wk", "name": "Popularity" } ], "faq": [ { "answer": "Router.com (Ramp Router) scores 54.5 (C) on agent readiness against Meta Model API's 52.5 (D), and leads in 5 of 7 scored categories. Meta Model API leads on reliability.", "question": "Which is better for AI agents, Meta Model API or Router.com (Ramp Router)?" }, { "answer": "Both need an API key.", "question": "Do Meta Model API and Router.com (Ramp Router) need an API key?" }, { "answer": "Yes. Meta Model API 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 Meta Model API and Router.com (Ramp Router) without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 40 against 25" ], "also": null, "goodFor": "Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default.", "slug": "meta-model-api", "watchFor": "Muse Wonder is labelled a preview, and no deprecation policy or notice period was found" }, { "aheadOn": [ "Payments \u0026 pricing, 40 against 20", "Maintenance \u0026 community, 59 against 46", "Transparency \u0026 trust, 67 against 55" ], "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" } ], "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api.json", "title": "Claude API vs Meta Model API", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "Antseed vs Meta Model API", "url": "https://www.anchorterminal.com/compare/antseed-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api.json", "title": "BlockRun.AI vs Meta Model API", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "Cerebras Inference vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "Cloudflare AI Gateway vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-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-meta-model-api.json", "title": "Cloudflare Workers AI vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-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-meta-model-api.json", "title": "Cohere Chat API (Command models) vs Meta Model API", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "DeepInfra vs Meta Model API", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "DeepSeek API vs Meta Model API", "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-meta-model-api" }, { "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/elorian-glimpse-vs-meta-model-api.json", "title": "Glimpse vs Meta Model API", "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "Fireworks AI Inference vs Meta Model API", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "Gemini Developer API vs Meta Model API", "url": "https://www.anchorterminal.com/compare/gemini-api-vs-meta-model-api" }, { "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-meta-model-api.json", "title": "GroqCloud vs Meta Model API", "url": "https://www.anchorterminal.com/compare/groq-vs-meta-model-api" }, { "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/jais-3-vs-meta-model-api.json", "title": "Jais 3 vs Meta Model API", "url": "https://www.anchorterminal.com/compare/jais-3-vs-meta-model-api" }, { "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-minimax-api.json", "title": "Meta Model API vs MiniMax API", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-minimax-api" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-mistral-api.json", "title": "Meta Model API vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-muse-spark-open.json", "title": "Meta Model API vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl.json", "title": "Meta Model API vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-novita-ai.json", "title": "Meta Model API vs Novita AI", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api.json", "title": "Meta Model API vs OpenAI API", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter.json", "title": "Meta Model API vs OpenRouter", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference.json", "title": "Meta Model API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-reflection-beam.json", "title": "Meta Model API vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-routerplus.json", "title": "Meta Model API vs RouterPlus", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova.json", "title": "Meta Model API vs SambaCloud", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-siliconflow.json", "title": "Meta Model API vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-stepfun-api.json", "title": "Meta Model API vs StepFun API", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.json", "title": "Meta Model API vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-vercel-ai-gateway.json", "title": "Meta Model API vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-vercel-ai-gateway" }, { "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-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-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-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-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/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/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-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" } ], "scores": [ { "by": 15, "edge": "meta-model-api", "key": "reliability", "meta-model-api": 40, "name": "Reliability", "ramp-router": 25, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 2, "edge": "meta-model-api", "key": "schema", "meta-model-api": 60, "name": "Schema \u0026 documentation", "ramp-router": 58, "weight": 13 }, { "by": 2, "edge": "ramp-router", "key": "ergonomics", "meta-model-api": 75, "name": "Agent ergonomics", "ramp-router": 77, "weight": 13 }, { "by": 2, "edge": "ramp-router", "key": "security", "meta-model-api": 64, "name": "Security \u0026 auth", "ramp-router": 66, "weight": 14 }, { "by": 20, "edge": "ramp-router", "key": "payments", "meta-model-api": 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", "meta-model-api": 46, "name": "Maintenance \u0026 community", "ramp-router": 59, "weight": 7 }, { "by": 12, "edge": "ramp-router", "key": "transparency", "meta-model-api": 55, "name": "Transparency \u0026 trust", "ramp-router": 67, "weight": 7 } ], "summary": "Router.com (Ramp Router) scores 54.5 (C) on agent readiness against Meta Model API's 52.5 (D), and leads in 5 of 7 scored categories. Meta Model API leads on reliability. Both do llm inference.", "tutorials": [], "verdicts": { "meta-model-api": "Meta Model API serves Muse Wonder, in preview since 12 October 2026, and Muse Spark with 1M-token context, constrained JSON Schema output, automatic prompt caching and per-token prices published without a login. Standard-mode content is not used for training. There's no free allowance, status history, OpenAPI file, deprecation policy or way to force a tool call.", "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/meta-model-api-vs-ramp-router", "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-ramp-router.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/meta-model-api-vs-ramp-router.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/meta-model-api-vs-ramp-router.min.md" }, "markdown": "Router.com (Ramp Router) scores 54.5 (C) on agent readiness against Meta Model API's 52.5 (D), and leads in 5 of 7 scored categories. Meta Model API leads on reliability. Both do llm inference.\n\n- Meta Model API: grade D, 52.5/100, rank #867 of 1218. Markdown https://www.anchorterminal.com/tools/meta-model-api.md · JSON https://www.anchorterminal.com/api/v1/tools/meta-model-api.json\n- Router.com (Ramp Router): grade C, 54.5/100, rank #798 of 1218. 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 466 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Meta Model API (D)\n\nGood for: Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default.\n\nAhead on:\n- Reliability, 40 against 25\n\nWatch for: Muse Wonder is labelled a preview, and no deprecation policy or notice period was found\n\n### Router.com (Ramp Router) (C)\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- Payments \u0026 pricing, 40 against 20\n- Maintenance \u0026 community, 59 against 46\n- Transparency \u0026 trust, 67 against 55\n\nWatch for: Ramp-side content recording is on by default and keeps prompts, outputs and tool calls for one year\n\n\n## Score by category\n\n| Category | Weight | Meta Model API | Router.com (Ramp Router) | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 25 | Meta Model API +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 58 | Meta Model API +2 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 77 | Router.com (Ramp Router) +2 |\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) | 55 | 67 | Router.com (Ramp Router) +12 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **52.5 · D** | **54.5 · C** | |\n\n## Facts side by side\n\n| Fact | Meta Model API | 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 | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Closed service under the Meta Model API Terms of Service (last updated 9 October 2026), with Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, as the contracting party. | 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 | 2026-10-12 | 2026-10-27 |\n| Terms last updated | | |\n| Privacy policy last updated | couldn't be read | |\n| Customer content may train models | | |\n| Terms restrict automated access | | |\n| Terms restrict benchmarking | | |\n| Terms or service can change without notice | | |\n| Arbitration or class-action waiver | | |\n| Popularity | none | 1.7k npm/wk |\n\n## Verdicts\n\n**Meta Model API.** Meta Model API serves Muse Wonder, in preview since 12 October 2026, and Muse Spark with 1M-token context, constrained JSON Schema output, automatic prompt caching and per-token prices published without a login. Standard-mode content is not used for training. There's no free allowance, status history, OpenAPI file, deprecation policy or way to force a tool call.\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### Meta Model API\n\n1. Use `muse-wonder-1.0` for long multi-step work and `muse-spark-1.3` for cheaper, high-volume calls. Both take the same requests\n2. Keep personal or confidential data away from `-contributor` model IDs. Meta may train on that content\n3. Honour Retry-After on 429 and 503, which is 60 seconds for `service_overloaded`, and check `GET https://api.meta.ai/v1/status`, which needs no key\n4. Pass the key to the OpenAI SDK explicitly or set `OPENAI_API_KEY`. The SDK doesn't read `MODEL_API_KEY`\n5. Leave `tool_choice` at `auto`. The docs say `none` and `required` are not supported\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, Meta Model API or Router.com (Ramp Router)?\n\nRouter.com (Ramp Router) scores 54.5 (C) on agent readiness against Meta Model API's 52.5 (D), and leads in 5 of 7 scored categories. Meta Model API leads on reliability.\n\n### Do Meta Model API and Router.com (Ramp Router) need an API key?\n\nBoth need an API key.\n\n### Can an agent call Meta Model API and Router.com (Ramp Router) without installing anything?\n\nYes. Meta Model API 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/meta-model-api-vs-ramp-router.json, and with the fewest tokens: https://www.anchorterminal.com/compare/meta-model-api-vs-ramp-router.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"meta-model-api\", \"b\": \"ramp-router\"}`. From a terminal: `anchor compare meta-model-api ramp-router`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/meta-model-api.json and https://www.anchorterminal.com/api/v1/tools/ramp-router.json\n\n## Other comparisons with Meta Model API or Router.com (Ramp Router)\n\n- [Claude API vs Meta Model API](https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api.md)\n- [Claude API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/anthropic-api-vs-ramp-router.md)\n- [Antseed vs Meta Model API](https://www.anchorterminal.com/compare/antseed-vs-meta-model-api.md)\n- [BlockRun.AI vs Meta Model API](https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api.md)\n- [BlockRun.AI vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/blockrun-ai-vs-ramp-router.md)\n- [Cerebras Inference vs Meta Model API](https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api.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 Meta Model API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-meta-model-api.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 Meta Model API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api.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 Meta Model API](https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.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 Meta Model API](https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.md)\n- [DeepInfra vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/deepinfra-vs-ramp-router.md)\n- [DeepSeek API vs Meta Model API](https://www.anchorterminal.com/compare/deepseek-api-vs-meta-model-api.md)\n- [DeepSeek API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/deepseek-api-vs-ramp-router.md)\n- [Glimpse vs Meta Model API](https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api.md)\n- [Glimpse vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/elorian-glimpse-vs-ramp-router.md)\n- [Fireworks AI Inference vs Meta Model API](https://www.anchorterminal.com/compare/fireworks-inference-vs-meta-model-api.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 Meta Model API](https://www.anchorterminal.com/compare/gemini-api-vs-meta-model-api.md)\n- [Gemini Developer API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/gemini-api-vs-ramp-router.md)\n- [GroqCloud vs Meta Model API](https://www.anchorterminal.com/compare/groq-vs-meta-model-api.md)\n- [GroqCloud vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/groq-vs-ramp-router.md)\n- [Jais 3 vs Meta Model API](https://www.anchorterminal.com/compare/jais-3-vs-meta-model-api.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 MiniMax API](https://www.anchorterminal.com/compare/meta-model-api-vs-minimax-api.md)\n- [Meta Model API vs Mistral AI API](https://www.anchorterminal.com/compare/meta-model-api-vs-mistral-api.md)\n- [Meta Model API vs Muse Spark Open](https://www.anchorterminal.com/compare/meta-model-api-vs-muse-spark-open.md)\n- [Meta Model API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/meta-model-api-vs-nemotron-3-5-super-vl.md)\n- [Meta Model API vs Novita AI](https://www.anchorterminal.com/compare/meta-model-api-vs-novita-ai.md)\n- [Meta Model API vs OpenAI API](https://www.anchorterminal.com/compare/meta-model-api-vs-openai-api.md)\n- [Meta Model API vs OpenRouter](https://www.anchorterminal.com/compare/meta-model-api-vs-openrouter.md)\n- [Meta Model API vs Prism Inference](https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference.md)\n- [Meta Model API vs Beam 1.0](https://www.anchorterminal.com/compare/meta-model-api-vs-reflection-beam.md)\n- [Meta Model API vs RouterPlus](https://www.anchorterminal.com/compare/meta-model-api-vs-routerplus.md)\n- [Meta Model API vs SambaCloud](https://www.anchorterminal.com/compare/meta-model-api-vs-sambanova.md)\n- [Meta Model API vs SiliconFlow](https://www.anchorterminal.com/compare/meta-model-api-vs-siliconflow.md)\n- [Meta Model API vs StepFun API](https://www.anchorterminal.com/compare/meta-model-api-vs-stepfun-api.md)\n- [Meta Model API vs Together AI Inference](https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.md)\n- [Meta Model API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/meta-model-api-vs-vercel-ai-gateway.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 Router.com (Ramp Router)](https://www.anchorterminal.com/compare/mistral-api-vs-ramp-router.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 StepFun API](https://www.anchorterminal.com/compare/ramp-router-vs-stepfun-api.md)\n- [Router.com (Ramp Router) vs Together AI Inference](https://www.anchorterminal.com/compare/ramp-router-vs-together-inference.md)\n- [Antseed vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/antseed-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 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": "2026-10-28", "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": "Meta Model API vs Router.com (Ramp Router)", "url": "" } ], "description": "Router.com scores 54.5 (C) to Meta Model's 52.5 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Meta Model API D 52.5", "Router.com (Ramp Router) C 54.5", "scores" ], "h1": "Meta Model API vs Router.com (Ramp Router)", "image": "https://www.anchorterminal.com/assets/og/compare-meta-model-api-vs-ramp-router.png", "path": "/compare/meta-model-api-vs-ramp-router", "published": "2026-10-01", "section": "tools", "title": "Meta Model vs Router.com for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-28", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-ramp-router" }, "tokens": { "markdown": 3600, "slim": 630 }, "version": 1 }