{
  "data": {
    "a": {
      "slug": "deepinfra",
      "name": "DeepInfra",
      "vendor": "Deep Infra Inc.",
      "vendorUrl": "https://deepinfra.com",
      "kind": "model",
      "category": "inference",
      "summary": "DeepInfra is a hosted inference API for open-weight and some third-party models, covering chat, embeddings, reranking, image, video and speech. It answers OpenAI-style and Anthropic-style calls at api.deepinfra.com with a Bearer key.",
      "url": "https://www.anchorterminal.com/tools/deepinfra",
      "markdownUrl": "https://www.anchorterminal.com/tools/deepinfra.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/deepinfra.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/deepinfra.json",
      "repo": "https://github.com/deepinfra/deepinfra-python",
      "license": "Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.deepinfra.com/v1/openai",
      "packages": [
        {
          "registry": "pypi",
          "name": "deepinfra"
        },
        {
          "registry": "npm",
          "name": "deepinfra"
        }
      ],
      "auth": "api-key",
      "authNotes": "Self-serve Bearer key from the dashboard at https://deepinfra.com/dash/api_keys after a browser sign-up with Google, GitHub, email or Okta SSO. The Anthropic-style routes also take the key in `x-api-key`. Keys can carry an IP allowlist and a monthly spending limit, and a key can mint scoped JWTs limited by model, expiry and spend.",
      "pricing": "usage",
      "pricingNotes": "Pay per token, image, audio minute or GPU-hour, with no free tier. An account must add a card or prepay. DeepSeek-V4-Flash-0731 costs $0.06 in and $0.18 out per 1M tokens, the priority tier is 1.5x, flex 0.8x and batch 20 per cent off (https://deepinfra.com/pricing, checked 2026-10-08).",
      "priceSummary": "from $0.06 / 1M in",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402, MPP or L402 in the docs index, the docs repository, the OpenAPI document or the pricing page (checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 21,
        "npmWeekly": 1250,
        "pypiWeekly": 50,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://docs.deepinfra.com/",
      "rateLimitsUrl": "https://docs.deepinfra.com/account/rate-limits",
      "llmsTxt": "https://docs.deepinfra.com/llms.txt",
      "openapi": "https://api.deepinfra.com/openapi.json",
      "capabilities": [
        "inference.llm",
        "inference.open-weights",
        "embed.text",
        "rerank",
        "image.generate",
        "speech.stt",
        "speech.tts",
        "compute.batch"
      ],
      "tags": [
        "hosted",
        "model",
        "open-weights",
        "usage-based",
        "card-required",
        "openapi",
        "llms-txt",
        "openai-compatible",
        "anthropic-compatible",
        "batch",
        "prompt-caching",
        "python",
        "typescript",
        "status-page",
        "soc2"
      ],
      "lastRelease": "2026-10-07",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 63,
        "grade": "B",
        "agentReady": false,
        "rank": 422,
        "ranked": true,
        "rankOf": 993,
        "categoryRank": 12,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 77,
          "maintenance": 65,
          "payments": 20,
          "reliability": 70,
          "schema": 69,
          "security": 64,
          "transparency": 67
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": 0,
        "verdict": "The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.",
        "bestFor": "Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.",
        "strengths": [
          "`GET /v1/openai/models` answered without a key on 8 October 2026 with 181 models, each with context length, output cap and per-token prices",
          "Scoped JWTs limit a token to named models, an expiry and a USD spending limit, and each API key can carry an IP allowlist and a monthly cap",
          "The terms commit to zero data retention and no training on Customer Data, and say that clause controls over the privacy policy and docs",
          "Batch API at 20 per cent off, a flex tier at 0.8x, prompt caching with cached-input prices and server-side fallback across up to four models",
          "Status page with 90-day history for the API, the website and 154 models, plus a dated list of scheduled deprecations"
        ],
        "weaknesses": [
          "A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id",
          "The status feed lists 50 automated major-outage observations on single models since 3 August 2026, several longer than 24 hours, with no written incident notes",
          "No free tier. The pricing page says an account must add a card or prepay before using the service",
          "No changelog, SLA, error reference or `Retry-After` header was found in the reviewed documentation",
          "The sub-processor list names three companies and is dated 6 September 2024, while the docs say Google and Anthropic receive data for their models"
        ],
        "agentNotes": [
          "Call `GET https://api.deepinfra.com/v1/openai/models` at start-up for ids, context sizes and prices. No key is needed",
          "Check the `model` field of each response. After a deprecation date, requests to the old id are served by a replacement model",
          "Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key",
          "Stay under 200 concurrent requests per model. On 429 `engine_overloaded`, retry after a delay, or send `models` with up to four fallbacks",
          "Never inspect a JWT with `GET /v1/scoped-jwt?jwtoken=`, which puts the token in the URL. Keep credentials in the `Authorization` header"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "B",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 63
          }
        ],
        "editorialScores": {
          "ergonomics": 77,
          "maintenance": 65,
          "payments": 20,
          "reliability": 70,
          "schema": 69,
          "security": 64,
          "transparency": 60
        },
        "provenanceScore": 74
      },
      "connect": {
        "install": "pip install openai   # or: npm install openai",
        "http": "curl \"https://api.deepinfra.com/v1/openai/chat/completions\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Authorization: Bearer $DEEPINFRA_API_KEY\" \\\n  -d '{\"model\":\"deepseek-ai/DeepSeek-V4-Flash-0731\",\"messages\":[{\"role\":\"user\",\"content\":\"Hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.llm",
        "tool": "https://letme.dev/deepinfra"
      },
      "area": "models",
      "provenance": {
        "legalEntity": "Deep Infra Inc.",
        "domain": "deepinfra.com",
        "domainRegistered": "2017-12-08",
        "endpointOnVendorDomain": true,
        "terms": "https://deepinfra.com/terms",
        "privacy": "https://deepinfra.com/privacy",
        "statusPage": "https://status.deepinfra.com",
        "changelog": "",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The Terms of Service, last modified 17 August 2026, name Deep Infra Inc., a Delaware corporation, with California law and JAMS arbitration in San Francisco. They are written around Service Orders and govern the services, the API included.",
          "The Privacy Policy, last modified 15 August 2026, names DeepInfra, Inc., a Delaware corporation, covers the website and the APIs, and has a section on data sent to and returned by the inference service.",
          "No changelog or release notes page was found in the docs index or the site map.",
          "https://deepinfra.com/.well-known/security.txt returns 404.",
          "RDAP for deepinfra.com gives a registration date of 2017-12-08.",
          "The API answers at api.deepinfra.com, the docs at docs.deepinfra.com and the status page at status.deepinfra.com.",
          "No SLA or published DPA was found. The terms mention a DPA only where the parties execute one."
        ],
        "score": 74
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/deepinfra.json",
      "live": {
        "slug": "deepinfra",
        "probe": {
          "target": "https://api.deepinfra.com/v1/openai",
          "method": "get",
          "lastAt": "2026-10-12T22:35:22.507051464Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 379,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 376,
          "p95ms24h": 739,
          "samples24h": 248,
          "samples30d": 896,
          "days": [
            {
              "date": "2026-10-09",
              "probes": 169,
              "ok": 169
            },
            {
              "date": "2026-10-10",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-11",
              "probes": 247,
              "ok": 247
            },
            {
              "date": "2026-10-12",
              "probes": 233,
              "ok": 233
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.deepinfra.com",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-12T21:46:47.827883069Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "deepinfra/deepinfra-python",
            "version": "v0.2.1",
            "released": "2026-08-05",
            "seenAt": "2026-10-12T21:57:36.103963764Z"
          },
          {
            "registry": "npm",
            "name": "deepinfra",
            "version": "2.0.2",
            "seenAt": "2026-10-12T21:57:35.286701151Z"
          },
          {
            "registry": "pypi",
            "name": "deepinfra",
            "version": "0.3.0",
            "released": "2026-08-12",
            "seenAt": "2026-10-12T21:57:35.099617096Z"
          }
        ],
        "githubStars": 1,
        "npmWeekly": 765,
        "pypiWeekly": 82,
        "securityTxt": {
          "url": "https://deepinfra.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-12T15:44:01.069611357Z"
        },
        "llmsTxt": {
          "url": "https://docs.deepinfra.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-12T14:08:54.723053939Z"
        },
        "domain": {
          "domain": "deepinfra.com",
          "registered": "2017-12-08",
          "source": "https://rdap.verisign.com/com/v1/domain/deepinfra.com",
          "checkedAt": "2026-10-11T13:18:56.059301616Z"
        },
        "pages": [
          {
            "url": "https://status.deepinfra.com/",
            "kind": "deprecations",
            "status": 200,
            "checkedAt": "2026-10-12T19:58:52.3582374Z",
            "changedAt": "2026-10-12T19:58:52.3582374Z",
            "fingerprint": "abeab0c3eb01"
          },
          {
            "url": "https://deepinfra.com/pricing",
            "kind": "pricing",
            "status": 200,
            "checkedAt": "2026-10-12T19:47:33.293803452Z",
            "changedAt": "2026-10-12T19:47:33.293803452Z",
            "fingerprint": "58246de87ab4"
          },
          {
            "url": "https://deepinfra.com/privacy",
            "kind": "privacy",
            "status": 200,
            "checkedAt": "2026-10-12T19:47:35.41797266Z",
            "changedAt": "2026-10-12T19:47:35.41797266Z",
            "fingerprint": "6f82e23fec70"
          },
          {
            "url": "https://deepinfra.com/terms",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-12T19:47:37.646915308Z",
            "changedAt": "2026-10-12T19:47:37.646915308Z",
            "fingerprint": "c7fb8c9bdb06"
          }
        ],
        "updatedAt": "2026-10-12T22:35:22.507051464Z"
      }
    },
    "answer": "DeepInfra scores 63 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories.",
    "b": {
      "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": 757,
        "ranked": true,
        "rankOf": 993,
        "categoryRank": 16,
        "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-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": "2026-10-12T22:35:32.230718004Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 115,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 87,
          "p95ms24h": 166,
          "samples24h": 19,
          "samples30d": 19,
          "days": [
            {
              "date": "2026-10-12",
              "probes": 19,
              "ok": 19
            }
          ]
        },
        "updatedAt": "2026-10-12T22:35:32.230718004Z"
      }
    },
    "facts": [
      {
        "a": "Model API",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Deep Infra Inc.",
        "b": "Meta",
        "name": "Vendor"
      },
      {
        "a": "https://api.deepinfra.com/v1/openai",
        "b": "https://api.meta.ai/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": "Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT",
        "b": "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.",
        "name": "Licence"
      },
      {
        "a": "no",
        "b": "no",
        "name": "Read-only variant documented"
      },
      {
        "a": "yes",
        "b": "yes",
        "name": "llms.txt"
      },
      {
        "a": "2026-10-07",
        "b": "2026-10-12",
        "name": "Last release"
      },
      {
        "a": "2026-08-17",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "2026-08-15",
        "b": "couldn't be read",
        "name": "Privacy policy last updated"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Customer content may train models"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms restrict automated access"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "yes",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "21 stars, 1.2k npm/wk, 50 PyPI/wk",
        "b": "none",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "DeepInfra scores 63 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories.",
        "question": "Which is better for AI agents, DeepInfra or Meta Model API?"
      },
      {
        "answer": "Both need an API key.",
        "question": "Do DeepInfra and Meta Model API need an API key?"
      },
      {
        "answer": "Yes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Meta Model API at https://api.meta.ai/v1.",
        "question": "Can an agent call DeepInfra and Meta Model API without installing anything?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 70 against 40",
          "Schema \u0026 documentation, 69 against 60",
          "Maintenance \u0026 community, 65 against 46",
          "Transparency \u0026 trust, 67 against 52"
        ],
        "also": null,
        "goodFor": "Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.",
        "slug": "deepinfra",
        "watchFor": "A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id"
      },
      {
        "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",
        "watchFor": "Muse Wonder is labelled a preview, and no deprecation policy or notice period was found"
      }
    ],
    "job": {
      "capability": "inference.llm",
      "name": "LLM inference"
    },
    "others": [
      {
        "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra.json",
        "title": "Claude API vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra"
      },
      {
        "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/antseed-vs-deepinfra.json",
        "title": "Antseed vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-deepinfra"
      },
      {
        "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-deepinfra.json",
        "title": "BlockRun.AI vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra"
      },
      {
        "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/cloudflare-ai-gateway-vs-deepinfra.json",
        "title": "Cloudflare AI Gateway vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-deepinfra"
      },
      {
        "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-workers-ai-vs-deepinfra.json",
        "title": "Cloudflare Workers AI vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra"
      },
      {
        "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-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/cohere-chat-vs-deepinfra.json",
        "title": "Cohere Chat API (Command models) vs DeepInfra",
        "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-deepinfra"
      },
      {
        "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/deepinfra-vs-deepseek-api.json",
        "title": "DeepInfra vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api.json",
        "title": "DeepInfra vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-groq.json",
        "title": "DeepInfra vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.json",
        "title": "DeepInfra vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-novita-ai.json",
        "title": "DeepInfra vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-openai-api.json",
        "title": "DeepInfra vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-openrouter.json",
        "title": "DeepInfra vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-openrouter"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.json",
        "title": "DeepInfra vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-sambanova.json",
        "title": "DeepInfra vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-siliconflow.json",
        "title": "DeepInfra vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api.json",
        "title": "DeepInfra vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api"
      },
      {
        "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/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/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/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-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-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"
      }
    ],
    "scores": [
      {
        "by": 30,
        "deepinfra": 70,
        "edge": "deepinfra",
        "key": "reliability",
        "meta-model-api": 40,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "by": 9,
        "deepinfra": 69,
        "edge": "deepinfra",
        "key": "schema",
        "meta-model-api": 60,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "by": 2,
        "deepinfra": 77,
        "edge": "deepinfra",
        "key": "ergonomics",
        "meta-model-api": 75,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "by": 0,
        "deepinfra": 64,
        "edge": "",
        "key": "security",
        "meta-model-api": 64,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "by": 0,
        "deepinfra": 20,
        "edge": "",
        "key": "payments",
        "meta-model-api": 20,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "by": 19,
        "deepinfra": 65,
        "edge": "deepinfra",
        "key": "maintenance",
        "meta-model-api": 46,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "by": 15,
        "deepinfra": 67,
        "edge": "deepinfra",
        "key": "transparency",
        "meta-model-api": 52,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "DeepInfra scores 63 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories. Both do llm inference.",
    "verdicts": {
      "deepinfra": "The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.",
      "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."
    }
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api",
    "json": "https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.md",
    "slim": "https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.min.md"
  },
  "markdown": "DeepInfra scores 63 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories. Both do llm inference.\n\n- DeepInfra: grade B, 63/100, rank #422 of 993. Markdown https://www.anchorterminal.com/tools/deepinfra.md · JSON https://www.anchorterminal.com/api/v1/tools/deepinfra.json\n- Meta Model API: grade D, 52.2/100, rank #757 of 993. Markdown https://www.anchorterminal.com/tools/meta-model-api.md · JSON https://www.anchorterminal.com/api/v1/tools/meta-model-api.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 171 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### DeepInfra (B)\n\nGood for: Agents that want many open-weight models, embeddings, image and speech behind one OpenAI-style key at low per-token prices, with spend-capped tokens.\n\nAhead on:\n- Reliability, 70 against 40\n- Schema \u0026 documentation, 69 against 60\n- Maintenance \u0026 community, 65 against 46\n- Transparency \u0026 trust, 67 against 52\n\nWatch for: A deprecated model gets at least one week's notice, and requests are then forwarded to a replacement model under the old id\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\n## Score by category\n\n| Category | Weight | DeepInfra | Meta Model API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 70 | 40 | DeepInfra +30 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 69 | 60 | DeepInfra +9 |\n| Agent ergonomics | 13% (16.2 this run) | 77 | 75 | DeepInfra +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 64 | 64 | even |\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) | 65 | 46 | DeepInfra +19 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 67 | 52 | DeepInfra +15 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **63 · B** | **52.2 · D** | |\n\n## Facts side by side\n\n| Fact | DeepInfra | Meta Model API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Deep Infra Inc. | Meta |\n| Hosted endpoint | `https://api.deepinfra.com/v1/openai` | `https://api.meta.ai/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 | Proprietary service under the DeepInfra Terms of Service. The Python and Node SDKs and the docs repository are MIT | 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. |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-07 | 2026-10-12 |\n| Terms last updated | 2026-08-17 |  |\n| Privacy policy last updated | 2026-08-15 | couldn't be read |\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 | yes |  |\n| Popularity | 21 stars, 1.2k npm/wk, 50 PyPI/wk | none |\n\n## Verdicts\n\n**DeepInfra.** The model list, context sizes and per-token prices are readable without a key, and keys can carry an IP allowlist, a monthly spending cap and model-limited JWTs. Deprecated models get one week's notice and are then redirected to another model, there is no changelog or SLA, and an account needs a card or prepayment before any call.\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## Before you call either\n\n### DeepInfra\n\n1. Call `GET https://api.deepinfra.com/v1/openai/models` at start-up for ids, context sizes and prices. No key is needed\n2. Check the `model` field of each response. After a deprecation date, requests to the old id are served by a replacement model\n3. Ask the account owner for a scoped JWT limited to the models and spend the task needs, not the full API key\n4. Stay under 200 concurrent requests per model. On 429 `engine_overloaded`, retry after a delay, or send `models` with up to four fallbacks\n5. Never inspect a JWT with `GET /v1/scoped-jwt?jwtoken=`, which puts the token in the URL. Keep credentials in the `Authorization` header\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## Questions\n\n### Which is better for AI agents, DeepInfra or Meta Model API?\n\nDeepInfra scores 63 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories.\n\n### Do DeepInfra and Meta Model API need an API key?\n\nBoth need an API key.\n\n### Can an agent call DeepInfra and Meta Model API without installing anything?\n\nYes. DeepInfra has a hosted endpoint at https://api.deepinfra.com/v1/openai and Meta Model API at https://api.meta.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"deepinfra\", \"b\": \"meta-model-api\"}`. From a terminal: `anchor compare deepinfra meta-model-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/deepinfra.json and https://www.anchorterminal.com/api/v1/tools/meta-model-api.json\n\n## Other comparisons with DeepInfra or Meta Model API\n\n- [Claude API vs DeepInfra](https://www.anchorterminal.com/compare/anthropic-api-vs-deepinfra.md)\n- [Claude API vs Meta Model API](https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api.md)\n- [Antseed vs DeepInfra](https://www.anchorterminal.com/compare/antseed-vs-deepinfra.md)\n- [Antseed vs Meta Model API](https://www.anchorterminal.com/compare/antseed-vs-meta-model-api.md)\n- [BlockRun.AI vs DeepInfra](https://www.anchorterminal.com/compare/blockrun-ai-vs-deepinfra.md)\n- [BlockRun.AI vs Meta Model API](https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api.md)\n- [Cloudflare AI Gateway vs DeepInfra](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-deepinfra.md)\n- [Cloudflare AI Gateway vs Meta Model API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-meta-model-api.md)\n- [Cloudflare Workers AI vs DeepInfra](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-deepinfra.md)\n- [Cloudflare Workers AI vs Meta Model API](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-meta-model-api.md)\n- [Cohere Chat API (Command models) vs DeepInfra](https://www.anchorterminal.com/compare/cohere-chat-vs-deepinfra.md)\n- [Cohere Chat API (Command models) vs Meta Model API](https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.md)\n- [DeepInfra vs DeepSeek API](https://www.anchorterminal.com/compare/deepinfra-vs-deepseek-api.md)\n- [DeepInfra vs Gemini Developer API](https://www.anchorterminal.com/compare/deepinfra-vs-gemini-api.md)\n- [DeepInfra vs GroqCloud](https://www.anchorterminal.com/compare/deepinfra-vs-groq.md)\n- [DeepInfra vs Mistral AI API](https://www.anchorterminal.com/compare/deepinfra-vs-mistral-api.md)\n- [DeepInfra vs Novita AI](https://www.anchorterminal.com/compare/deepinfra-vs-novita-ai.md)\n- [DeepInfra vs OpenAI API](https://www.anchorterminal.com/compare/deepinfra-vs-openai-api.md)\n- [DeepInfra vs OpenRouter](https://www.anchorterminal.com/compare/deepinfra-vs-openrouter.md)\n- [DeepInfra vs Prism Inference](https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.md)\n- [DeepInfra vs SambaCloud](https://www.anchorterminal.com/compare/deepinfra-vs-sambanova.md)\n- [DeepInfra vs SiliconFlow](https://www.anchorterminal.com/compare/deepinfra-vs-siliconflow.md)\n- [DeepInfra vs StepFun API](https://www.anchorterminal.com/compare/deepinfra-vs-stepfun-api.md)\n- [DeepSeek API vs Meta Model API](https://www.anchorterminal.com/compare/deepseek-api-vs-meta-model-api.md)\n- [Gemini Developer API vs Meta Model API](https://www.anchorterminal.com/compare/gemini-api-vs-meta-model-api.md)\n- [GroqCloud vs Meta Model API](https://www.anchorterminal.com/compare/groq-vs-meta-model-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 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 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",
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