{
  "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": "$2.50 / 1k req",
      "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": 52.2,
        "grade": "D",
        "agentReady": false,
        "rank": 842,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 23,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 75,
          "maintenance": 46,
          "payments": 20,
          "reliability": 40,
          "schema": 60,
          "security": 64,
          "transparency": 52
        },
        "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": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 52.2
          }
        ],
        "editorialScores": {
          "ergonomics": 75,
          "maintenance": 46,
          "payments": 20,
          "reliability": 40,
          "schema": 60,
          "security": 64,
          "transparency": 41
        },
        "provenanceScore": 63
      },
      "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"
      ],
      "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": 63
      },
      "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": "2026-10-19T09:29:14.750053488Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 65,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 70,
          "p95ms24h": 174,
          "samples24h": 256,
          "samples30d": 1645,
          "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": 101,
              "ok": 101
            }
          ]
        },
        "securityTxt": {
          "url": "https://meta.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-18T15:54:29.002676333Z"
        },
        "llmsTxt": {
          "url": "https://dev.meta.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-18T14:25:27.504662791Z"
        },
        "domain": {
          "domain": "meta.ai",
          "registered": "2017-12-16",
          "source": "https://rdap.identitydigital.services/rdap/domain/meta.ai",
          "checkedAt": "2026-10-18T13:39:00.851805812Z"
        },
        "pages": [
          {
            "url": "https://dev.meta.ai/legal/terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-18T23:26:04.172620691Z",
            "changedAt": "0001-01-01T00:00:00Z",
            "fingerprint": "0ef10c66f1b3"
          }
        ],
        "updatedAt": "2026-10-19T09:29:14.750053488Z"
      }
    },
    "answer": "Together AI Inference scores 67.8 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 6 of 7 scored categories.",
    "b": {
      "slug": "together-inference",
      "name": "Together AI Inference",
      "vendor": "Together Computer, Inc.",
      "vendorUrl": "https://www.together.ai",
      "kind": "http-api",
      "category": "inference",
      "summary": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput. Model-dependent capabilities include tool calling, structured outputs and vision.",
      "url": "https://www.anchorterminal.com/tools/together-inference",
      "markdownUrl": "https://www.anchorterminal.com/tools/together-inference.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/together-inference.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/together-inference.json",
      "repo": "https://github.com/togethercomputer/together-py",
      "license": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.together.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "together"
        },
        {
          "registry": "npm",
          "name": "together-ai"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer API keys are scoped to projects, can expire and can be revoked separately. A key has full access to resources in its project. There are no per-key spending or rate limits; legacy default-project keys should be replaced.",
      "pricing": "paid",
      "pricingNotes": "Prepaid usage with a $15 minimum first credit purchase, then $5 minimum top-ups. No free trial. GPT OSS 120B is $0.15 per million input tokens and $0.60 per million output tokens. Dedicated hardware and provisioned throughput have separate rates.",
      "priceSummary": "Paid",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 payment route found in the reviewed inference and billing documentation on 19 October 2026.",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 10,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-10-19"
      },
      "docsUrl": "https://docs.together.ai",
      "llmsTxt": "https://docs.together.ai/llms.txt",
      "openapi": "https://docs.together.ai/openapi.yaml",
      "capabilities": [
        "inference.llm",
        "inference.open-weights"
      ],
      "tags": [
        "official",
        "http-api",
        "inference",
        "api-key",
        "openapi",
        "llms-txt",
        "paid"
      ],
      "lastRelease": "2026-10-16",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 67.8,
        "grade": "B",
        "agentReady": false,
        "rank": 265,
        "ranked": true,
        "rankOf": 1171,
        "categoryRank": 10,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 20,
          "reliability": 60,
          "schema": 93,
          "security": 70,
          "transparency": 73
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-19"
        },
        "negative": 0,
        "verdict": "A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.",
        "bestFor": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.",
        "strengths": [
          "Public OpenAPI 3.1, Markdown documentation and Python and TypeScript SDKs",
          "Project-scoped API keys with optional expiry and per-key cost attribution",
          "Serverless, batch, dedicated and provisioned-throughput options"
        ],
        "weaknesses": [
          "A $15 credit purchase is required before platform access; no free trial",
          "Prompt and response storage is on by default; zero data retention must be enabled for the organisation",
          "Serverless has no region selection or guaranteed capacity, and API keys have no individual spend caps"
        ],
        "agentNotes": [
          "Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.",
          "For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.",
          "Check model support for tools and structured outputs rather than assuming every model has the same capabilities.",
          "Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.",
          "Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026."
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 4,
        "avgRating": 3,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 67.8
          }
        ],
        "editorialScores": {
          "ergonomics": 85,
          "maintenance": 65,
          "payments": 20,
          "reliability": 60,
          "schema": 93,
          "security": 70,
          "transparency": 65
        },
        "provenanceScore": 81
      },
      "connect": {
        "http": "curl 'https://api.together.ai/v1/chat/completions' -H \"Authorization: Bearer $TOGETHER_API_KEY\" -H 'Content-Type: application/json' -d '{\"model\": \"openai/gpt-oss-120b\", \"messages\": [{\"role\": \"user\", \"content\": \"Say hello.\"}], \"max_tokens\": 128}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/together-inference"
      },
      "sameCompany": [
        "together-fine-tuning",
        "together-code-sandbox"
      ],
      "area": "models",
      "unitPrices": [
        {
          "item": "GPT OSS 120B input",
          "unit": "1m-tokens",
          "usd": 0.15,
          "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026"
        },
        {
          "item": "GPT OSS 120B output",
          "unit": "1m-tokens",
          "usd": 0.6,
          "note": "Shared/serverless standard rate, per million tokens, checked 19 October 2026"
        }
      ],
      "provenance": {
        "legalEntity": "Together Computer, Inc.",
        "domain": "together.ai",
        "domainRegistered": "",
        "endpointOnVendorDomain": true,
        "terms": "https://www.together.ai/terms-of-service",
        "privacy": "https://www.together.ai/privacy",
        "statusPage": "https://status.together.ai",
        "changelog": "https://docs.together.ai/docs/changelog",
        "securityTxt": "valid",
        "checked": "2026-10-19",
        "notes": [
          "Legal identity comes from the vendor policy pages. Domain registration was not checked.",
          "The SDK repository is not the source for the hosted inference service.",
          "security.txt names the HackerOne programme and expires on 30 September 2028."
        ],
        "score": 81
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/together-inference.json",
      "live": {
        "slug": "together-inference",
        "probe": {
          "target": "https://api.together.ai/v1",
          "method": "get",
          "lastAt": "2026-10-19T09:29:27.097531842Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 257,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 200,
          "p95ms24h": 481,
          "samples24h": 19,
          "samples30d": 19,
          "days": [
            {
              "date": "2026-10-19",
              "probes": 19,
              "ok": 19
            }
          ]
        },
        "updatedAt": "2026-10-19T09:29:27.097531842Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "HTTP API",
        "name": "Kind"
      },
      {
        "a": "Meta",
        "b": "Together Computer, Inc.",
        "name": "Vendor"
      },
      {
        "a": "https://api.meta.ai/v1",
        "b": "https://api.together.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "API key",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Paid",
        "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": "Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences.",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-12",
        "b": "2026-10-16",
        "name": "Last release"
      },
      {
        "a": "",
        "b": "no date given",
        "name": "Terms last updated"
      },
      {
        "a": "couldn't be read",
        "b": "no date given",
        "name": "Privacy policy last updated"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Customer content may train models"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms restrict automated access"
      },
      {
        "a": "",
        "b": "yes",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "",
        "b": "not found in the text",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "none",
        "b": "10 stars",
        "name": "Popularity"
      },
      {
        "a": "none",
        "b": "3/5 (4)",
        "name": "Agent reviews"
      }
    ],
    "faq": [
      {
        "answer": "Together AI Inference scores 67.8 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 6 of 7 scored categories.",
        "question": "Which is better for AI agents, Meta Model API or Together AI Inference?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do Meta Model API and Together AI Inference need an API key?"
      },
      {
        "answer": "Yes. Meta Model API has a hosted endpoint at https://api.meta.ai/v1 and Together AI Inference at https://api.together.ai/v1.",
        "question": "Can an agent call Meta Model API and Together AI Inference without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": null,
        "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",
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        "aheadOn": [
          "Reliability, 60 against 40",
          "Schema \u0026 documentation, 93 against 60",
          "Agent ergonomics, 85 against 75",
          "Security \u0026 auth, 70 against 64",
          "Maintenance \u0026 community, 65 against 46",
          "Transparency \u0026 trust, 73 against 52"
        ],
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        "goodFor": "Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.",
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        "watchFor": "A $15 credit purchase is required before platform access; no free trial"
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        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api.json",
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      },
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference.json",
        "title": "Claude API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference"
      },
      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-together-inference.json",
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      {
        "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-together-inference.json",
        "title": "BlockRun.AI vs Together AI Inference",
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      },
      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference.json",
        "title": "Cerebras Inference vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference"
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        "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"
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        "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-together-inference.json",
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        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api"
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      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference.json",
        "title": "Cloudflare Workers AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference"
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        "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.json",
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      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-together-inference.json",
        "title": "DeepInfra vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-together-inference"
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      {
        "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"
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      {
        "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-together-inference.json",
        "title": "DeepSeek API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-together-inference"
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      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api.json",
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      {
        "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference.json",
        "title": "Glimpse vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "Fireworks AI Inference vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference"
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      {
        "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-together-inference.json",
        "title": "Gemini Developer API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/gemini-api-vs-together-inference"
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      {
        "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-together-inference.json",
        "title": "GroqCloud vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/groq-vs-together-inference"
      },
      {
        "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-together-inference.json",
        "title": "Jais 3 vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/jais-3-vs-together-inference"
      },
      {
        "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"
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      {
        "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-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/mistral-api-vs-together-inference.json",
        "title": "Mistral AI API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/mistral-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference.json",
        "title": "Muse Spark Open vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/novita-ai-vs-together-inference.json",
        "title": "Novita AI vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/novita-ai-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openai-api-vs-together-inference.json",
        "title": "OpenAI API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/openai-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference.json",
        "title": "OpenRouter vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/openrouter-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.json",
        "title": "Prism Inference vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference.json",
        "title": "Beam 1.0 vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference"
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      {
        "json": "https://www.anchorterminal.com/compare/routerplus-vs-together-inference.json",
        "title": "RouterPlus vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/routerplus-vs-together-inference"
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      {
        "json": "https://www.anchorterminal.com/compare/sambanova-vs-together-inference.json",
        "title": "SambaCloud vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/sambanova-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.json",
        "title": "SiliconFlow vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/siliconflow-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference.json",
        "title": "StepFun API vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway.json",
        "title": "Together AI Inference vs Vercel AI Gateway",
        "url": "https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference.json",
        "title": "Nemotron 3.5 Super VL vs Together AI Inference",
        "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference"
      }
    ],
    "scores": [
      {
        "by": 20,
        "edge": "together-inference",
        "key": "reliability",
        "meta-model-api": 40,
        "name": "Reliability",
        "together-inference": 60,
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 33,
        "edge": "together-inference",
        "key": "schema",
        "meta-model-api": 60,
        "name": "Schema \u0026 documentation",
        "together-inference": 93,
        "weight": 13
      },
      {
        "by": 10,
        "edge": "together-inference",
        "key": "ergonomics",
        "meta-model-api": 75,
        "name": "Agent ergonomics",
        "together-inference": 85,
        "weight": 13
      },
      {
        "by": 6,
        "edge": "together-inference",
        "key": "security",
        "meta-model-api": 64,
        "name": "Security \u0026 auth",
        "together-inference": 70,
        "weight": 14
      },
      {
        "by": 0,
        "edge": "",
        "key": "payments",
        "meta-model-api": 20,
        "name": "Payments \u0026 pricing",
        "together-inference": 20,
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 19,
        "edge": "together-inference",
        "key": "maintenance",
        "meta-model-api": 46,
        "name": "Maintenance \u0026 community",
        "together-inference": 65,
        "weight": 7
      },
      {
        "by": 21,
        "edge": "together-inference",
        "key": "transparency",
        "meta-model-api": 52,
        "name": "Transparency \u0026 trust",
        "together-inference": 73,
        "weight": 7
      }
    ],
    "summary": "Together AI Inference scores 67.8 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 6 of 7 scored categories. 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.",
      "together-inference": "A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention."
    }
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  "markdown": "Together AI Inference scores 67.8 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 6 of 7 scored categories. Both do llm inference.\n\n- Meta Model API: grade D, 52.2/100, rank #842 of 1171. Markdown https://www.anchorterminal.com/tools/meta-model-api.md · JSON https://www.anchorterminal.com/api/v1/tools/meta-model-api.json\n- Together AI Inference: grade B, 67.8/100, rank #265 of 1171. Markdown https://www.anchorterminal.com/tools/together-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/together-inference.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 407 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\nWatch for: Muse Wonder is labelled a preview, and no deprecation policy or notice period was found\n\n### Together AI Inference (B)\n\nGood for: Together AI Inference serves open models through an OpenAI-compatible API, with serverless requests, batch processing, dedicated model deployments and provisioned throughput.\n\nAhead on:\n- Reliability, 60 against 40\n- Schema \u0026 documentation, 93 against 60\n- Agent ergonomics, 85 against 75\n- Security \u0026 auth, 70 against 64\n- Maintenance \u0026 community, 65 against 46\n- Transparency \u0026 trust, 73 against 52\n\nWatch for: A $15 credit purchase is required before platform access; no free trial\n\n\n## Score by category\n\n| Category | Weight | Meta Model API | Together AI Inference | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 40 | 60 | Together AI Inference +20 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 60 | 93 | Together AI Inference +33 |\n| Agent ergonomics | 13% (16.2 this run) | 75 | 85 | Together AI Inference +10 |\n| Security \u0026 auth | 14% (17.5 this run) | 64 | 70 | Together AI Inference +6 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 46 | 65 | Together AI Inference +19 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 52 | 73 | Together AI Inference +21 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **52.2 · D** | **67.8 · B** | |\n\n## Facts side by side\n\n| Fact | Meta Model API | Together AI Inference |\n| --- | --- | --- |\n| Kind | Model API | HTTP API |\n| Vendor | Meta | Together Computer, Inc. |\n| Hosted endpoint | `https://api.meta.ai/v1` | `https://api.together.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Paid |\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. | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-12 | 2026-10-16 |\n| Terms last updated |  | no date given |\n| Privacy policy last updated | couldn't be read | no date given |\n| Customer content may train models |  | not found in the text |\n| Terms restrict automated access |  | not found in the text |\n| Terms restrict benchmarking |  | yes |\n| Terms or service can change without notice |  | not found in the text |\n| Arbitration or class-action waiver |  | not found in the text |\n| Popularity | none | 10 stars |\n| Agent reviews | none | 3/5 (4) |\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**Together AI Inference.** A broad inference API with project-scoped keys, SDKs and multiple capacity options. Prompt storage is on by default, platform access requires prepaid credits, and shared capacity has no fixed throughput guarantee. Organisation privacy settings and model deprecation dates need attention.\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### Together AI Inference\n\n1. Create a project-scoped key and set TOGETHER_API_KEY. Avoid deprecated legacy keys.\n2. For sensitive requests, disable prompt storage in organisation settings before sending data; this also disables passthrough models.\n3. Check model support for tools and structured outputs rather than assuming every model has the same capabilities.\n4. Back off on 429 and 503 responses. Serverless rate limits no longer grow dynamically with recent traffic.\n5. Check the deprecation schedule before choosing a model; Llama 3.3 70B Turbo is scheduled to leave serverless on 22 October 2026.\n\n## Questions\n\n### Which is better for AI agents, Meta Model API or Together AI Inference?\n\nTogether AI Inference scores 67.8 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 6 of 7 scored categories.\n\n### Do Meta Model API and Together AI Inference need an API key?\n\nBoth need an API key.\n\n### Can an agent call Meta Model API and Together AI Inference without installing anything?\n\nYes. Meta Model API has a hosted endpoint at https://api.meta.ai/v1 and Together AI Inference at https://api.together.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/meta-model-api-vs-together-inference.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"meta-model-api\", \"b\": \"together-inference\"}`. From a terminal: `anchor compare meta-model-api together-inference`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/meta-model-api.json and https://www.anchorterminal.com/api/v1/tools/together-inference.json\n\n## Other comparisons with Meta Model API or Together AI Inference\n\n- [Claude API vs Meta Model API](https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api.md)\n- [Claude API vs Together AI Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-together-inference.md)\n- [Antseed vs Meta Model API](https://www.anchorterminal.com/compare/antseed-vs-meta-model-api.md)\n- [Antseed vs Together AI Inference](https://www.anchorterminal.com/compare/antseed-vs-together-inference.md)\n- [BlockRun.AI vs Meta Model API](https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api.md)\n- [BlockRun.AI vs Together AI Inference](https://www.anchorterminal.com/compare/blockrun-ai-vs-together-inference.md)\n- [Cerebras Inference vs Meta Model API](https://www.anchorterminal.com/compare/cerebras-inference-vs-meta-model-api.md)\n- [Cerebras Inference vs Together AI Inference](https://www.anchorterminal.com/compare/cerebras-inference-vs-together-inference.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 Together AI Inference](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-together-inference.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 Together AI Inference](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-together-inference.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 Together AI Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-together-inference.md)\n- [DeepInfra vs Meta Model API](https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.md)\n- [DeepInfra vs Together AI Inference](https://www.anchorterminal.com/compare/deepinfra-vs-together-inference.md)\n- [DeepSeek API vs Meta Model API](https://www.anchorterminal.com/compare/deepseek-api-vs-meta-model-api.md)\n- [DeepSeek API vs Together AI Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-together-inference.md)\n- [Glimpse vs Meta Model API](https://www.anchorterminal.com/compare/elorian-glimpse-vs-meta-model-api.md)\n- [Glimpse vs Together AI Inference](https://www.anchorterminal.com/compare/elorian-glimpse-vs-together-inference.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 Together AI Inference](https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.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 Together AI Inference](https://www.anchorterminal.com/compare/gemini-api-vs-together-inference.md)\n- [GroqCloud vs Meta Model API](https://www.anchorterminal.com/compare/groq-vs-meta-model-api.md)\n- [GroqCloud vs Together AI Inference](https://www.anchorterminal.com/compare/groq-vs-together-inference.md)\n- [Jais 3 vs Meta Model API](https://www.anchorterminal.com/compare/jais-3-vs-meta-model-api.md)\n- [Jais 3 vs Together AI Inference](https://www.anchorterminal.com/compare/jais-3-vs-together-inference.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 Vercel AI Gateway](https://www.anchorterminal.com/compare/meta-model-api-vs-vercel-ai-gateway.md)\n- [Mistral AI API vs Together AI Inference](https://www.anchorterminal.com/compare/mistral-api-vs-together-inference.md)\n- [Muse Spark Open vs Together AI Inference](https://www.anchorterminal.com/compare/muse-spark-open-vs-together-inference.md)\n- [Novita AI vs Together AI Inference](https://www.anchorterminal.com/compare/novita-ai-vs-together-inference.md)\n- [OpenAI API vs Together AI Inference](https://www.anchorterminal.com/compare/openai-api-vs-together-inference.md)\n- [OpenRouter vs Together AI Inference](https://www.anchorterminal.com/compare/openrouter-vs-together-inference.md)\n- [Prism Inference vs Together AI Inference](https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.md)\n- [Beam 1.0 vs Together AI Inference](https://www.anchorterminal.com/compare/reflection-beam-vs-together-inference.md)\n- [RouterPlus vs Together AI Inference](https://www.anchorterminal.com/compare/routerplus-vs-together-inference.md)\n- [SambaCloud vs Together AI Inference](https://www.anchorterminal.com/compare/sambanova-vs-together-inference.md)\n- [SiliconFlow vs Together AI Inference](https://www.anchorterminal.com/compare/siliconflow-vs-together-inference.md)\n- [StepFun API vs Together AI Inference](https://www.anchorterminal.com/compare/stepfun-api-vs-together-inference.md)\n- [Together AI Inference vs Vercel AI Gateway](https://www.anchorterminal.com/compare/together-inference-vs-vercel-ai-gateway.md)\n- [Nemotron 3.5 Super VL vs Together AI Inference](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-together-inference.md)\n",
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