{
  "data": {
    "a": {
      "slug": "antseed",
      "name": "Antseed",
      "vendor": "Antseed Foundation",
      "vendorUrl": "https://antseed.com",
      "kind": "router",
      "category": "inference",
      "summary": "Antseed is an open-source peer-to-peer network for buying and selling AI inference. A buyer runs a local proxy with OpenAI and Anthropic format endpoints, which routes each request to an independent seller and pays in USDC on Base.",
      "url": "https://www.anchorterminal.com/tools/antseed",
      "markdownUrl": "https://www.anchorterminal.com/tools/antseed.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/antseed.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/antseed.json",
      "repo": "https://github.com/Antseed/antseed",
      "license": "GPL-3.0 (LICENSE in the repository). The @antseed/cli manifest on npm carries no licence field",
      "transports": [
        "http"
      ],
      "packages": [
        {
          "registry": "npm",
          "name": "@antseed/cli"
        }
      ],
      "auth": "none",
      "authNotes": "No account and no API key. The local proxy at 127.0.0.1:8377 doesn't check a key, so clients that need one send a placeholder such as `antseed-p2p`. Identity is a secp256k1 key the CLI creates on first run. Its EVM address is the peer id and the paying wallet. A public tunnel or the gateway (`antseed gateway`, `antseed tunnel start`) needs a generated `antseed_...` bearer key, with optional spend limits and expiry per key.",
      "pricing": "usage",
      "pricingNotes": "Sellers set their own prices per 1M input, cached-input and output tokens, published without login at https://network.antseed.com/stats. Buyers pre-deposit USDC on Base and pay per request. Some models are free, with nine free ids in the 8 October 2026 snapshot. The FAQ sets network fees at 4 per cent, and a gasless deposit costs a fixed $0.05 relay fee. The software is free.",
      "priceSummary": "4% fee",
      "where": "local",
      "x402": {
        "level": "no",
        "evidence": "Inference isn't paid by x402. Sellers answer HTTP 402 and the buyer signs Antseed's own EIP-712 ReserveAuth and SpendingAuth against an on-chain USDC channel (https://antseed.com/blog/the-402-flow/). x402 v2 appears only on `POST /v1/key/topup` of a gateway the owner runs, off until enabled per key (CHANGELOG.md, checked 2026-10-08).",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 106,
        "npmWeekly": 1823,
        "pypiWeekly": null,
        "asOf": "2026-10-08"
      },
      "docsUrl": "https://antseed.com/docs/",
      "llmsTxt": "https://antseed.com/llms.txt",
      "capabilities": [
        "inference.router",
        "inference.llm"
      ],
      "tags": [
        "open-source",
        "local",
        "p2p",
        "usdc",
        "base",
        "no-signup",
        "no-card",
        "openai-compatible",
        "anthropic-compatible",
        "llms-txt",
        "cli",
        "desktop",
        "pre-1.0"
      ],
      "lastRelease": "2026-10-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 55.1,
        "grade": "C",
        "agentReady": false,
        "rank": 685,
        "ranked": true,
        "rankOf": 993,
        "categoryRank": 14,
        "methodology": "0.4",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 56,
          "maintenance": 79,
          "payments": 70,
          "reliability": 62,
          "schema": 55,
          "security": 45,
          "transparency": 59
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-08"
        },
        "negative": -4,
        "negativeNotes": [
          "2026-10-08. The buyer proxy forwards a client's `Authorization`, `x-api-key` and cookie headers to the seller it routes to, confirmed in apps/cli/src/proxy/buyer-proxy.ts at commit 10a1f6b. The repository's own review of 8 March 2026 lists it as VULN-002, and issue #1104 (4 October 2026) is open. Clients started through `antseed claude` or `antseed codex` send a placeholder, so the deduction is 4 of a possible 15. https://github.com/Antseed/antseed/issues/1104"
        ],
        "verdict": "A buyer needs no account. The CLI creates a wallet key, free models answer at once and paid ones draw on deposited USDC, with seller, tokens and cost returned in response headers. Sellers are unvetted and can read prompts unless TEE-verified, the proxy forwards a client's own credential headers to them, and every package is pre-1.0.",
        "bestFor": "Agents and coding tools that want pay-per-request inference with no account, and owners comfortable holding USDC on Base.",
        "strengths": [
          "No sign-up. `npm install -g @antseed/cli` and `antseed buyer start` give a local endpoint at http://localhost:8377, and nine model ids were free in the 8 October snapshot",
          "One proxy accepts Anthropic Messages, OpenAI Chat Completions and OpenAI Responses requests and translates between them when the seller speaks another format",
          "Seller prices per 1M tokens are public JSON at https://network.antseed.com/stats with no login, and `antseed network browse --json` reads them live",
          "Non-streaming responses carry `x-antseed-peer-id`, token counts and `x-antseed-estimated-cost-usd`, and `antseed buyer metering` gives totals per channel",
          "GPL-3.0 source with CI passing on main on 8 October 2026 and 28 tagged releases since 19 August 2026"
        ],
        "weaknesses": [
          "The buyer proxy copies a client's `Authorization` and `x-api-key` headers to the seller. The repository's March 2026 review flagged it and issue #1104 is open",
          "Sellers are independent and unvetted. The FAQ says a standard seller can read the prompt it serves, and each sets its own data practices",
          "Pre-1.0 everywhere. The CLI is 0.1.173, the release tag is v0.2.51, and CHANGELOG.md keeps everything since August under one Unreleased heading",
          "No OpenAPI document, security.txt, SECURITY.md, published advisory, bug bounty or contract audit report was found",
          "The buyer key is also the wallet, and the CLI stores it in plain text at ~/.antseed/identity.key unless `ANTSEED_IDENTITY_HEX` is set"
        ],
        "agentNotes": [
          "Send a placeholder key such as `antseed-p2p`. The proxy forwards whatever `Authorization` or `x-api-key` header the client sends to the seller",
          "Call `GET /v1/models` first and request a concrete id. The `antseed` alias works only when the desktop app has a model selected",
          "Handle 402 `insufficient_deposits` by reading `suggestedAmount`, then fund the address from `antseed buyer deposit` with USDC on Base",
          "Pass `--verifiers antseed-verifier --require-verifier` to `antseed buyer start` when prompts are private, so only TEE-verified sellers are routed",
          "Read `x-antseed-peer-id` and `x-antseed-estimated-cost-usd` on each response, and pin a seller with `\u003cpeerId\u003e@\u003cmodel\u003e` when the same one must answer"
        ],
        "metrics": {
          "kind": "local",
          "measured": false
        },
        "reviewCount": 0,
        "avgRating": 0,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.4",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 55.1
          }
        ],
        "editorialScores": {
          "ergonomics": 56,
          "maintenance": 79,
          "payments": 70,
          "reliability": 62,
          "schema": 55,
          "security": 45,
          "transparency": 66
        },
        "provenanceScore": 52
      },
      "connect": {
        "install": "npm install -g @antseed/cli \u0026\u0026 antseed buyer start",
        "http": "curl http://localhost:8377/v1/chat/completions -H 'content-type: application/json' -d '{\"model\": \"deepseek-v4-flash\", \"messages\": [{\"role\": \"user\", \"content\": \"Hello\"}]}'"
      },
      "letme": {
        "capability": "https://letme.dev/inference.router",
        "tool": "https://letme.dev/antseed"
      },
      "area": "models",
      "unitPrices": [
        {
          "item": "Network fee",
          "unit": "pct",
          "usd": 4,
          "note": "Per the FAQ. Model prices are set by each seller"
        },
        {
          "item": "Gasless deposit relay",
          "unit": "tx",
          "usd": 0.05,
          "note": "Fixed fee per sweep on Base mainnet"
        }
      ],
      "provenance": {
        "legalEntity": "Antseed Foundation",
        "domain": "antseed.com",
        "domainRegistered": "2026-02-23",
        "endpointOnVendorDomain": null,
        "terms": "https://antseed.com/terms-of-service/",
        "privacy": "",
        "statusPage": "",
        "changelog": "https://github.com/Antseed/antseed/blob/main/CHANGELOG.md",
        "securityTxt": "none",
        "checked": "2026-10-08",
        "notes": [
          "The site footer reads © 2026 Antseed Foundation. The foundation post of 17 July 2026 calls it a non-profit and gives no jurisdiction or registration number.",
          "The terms (last updated 15 May 2026) say the protocol is not a company and that supporting entities don't operate or control the network. Their contact section points to the repository's issues.",
          "https://antseed.com/privacy/ is a product page about anonymity, not a privacy policy. Section 16 of the terms covers data, and docs/telemetry.md in the repository covers the desktop app.",
          "The endpoint an agent calls is on the owner's machine. The price snapshot is at network.antseed.com, and https://antseed.com/network shows live network data with no incident history.",
          "antseed.com/.well-known/security.txt and /security.txt both return 404, and the repository has no SECURITY.md.",
          "RDAP gives 2026-02-23 as the registration date for antseed.com. @antseed/cli was first published to npm on 2026-02-24."
        ],
        "score": 52
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/antseed.json",
      "live": {
        "slug": "antseed",
        "versions": [
          {
            "registry": "github",
            "name": "Antseed/antseed",
            "version": "v0.2.60",
            "released": "2026-10-12",
            "seenAt": "2026-10-12T21:47:47.448017232Z"
          },
          {
            "registry": "npm",
            "name": "@antseed/cli",
            "version": "0.1.179",
            "seenAt": "2026-10-12T21:47:45.543989002Z"
          }
        ],
        "githubStars": 114,
        "npmWeekly": 2910,
        "securityTxt": {
          "url": "https://antseed.com/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-12T15:44:21.490496568Z"
        },
        "llmsTxt": {
          "url": "https://antseed.com/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-12T14:08:25.530420137Z"
        },
        "domain": {
          "domain": "antseed.com",
          "registered": "2026-02-23",
          "source": "https://rdap.verisign.com/com/v1/domain/antseed.com",
          "checkedAt": "2026-10-11T13:15:01.846364596Z"
        },
        "pages": [
          {
            "url": "https://raw.githubusercontent.com/Antseed/antseed/main/CHANGELOG.md",
            "kind": "changelog",
            "status": 200,
            "checkedAt": "2026-10-12T19:57:15.71926355Z",
            "changedAt": "2026-10-12T19:57:15.71926355Z",
            "fingerprint": "8922eee66f6c"
          },
          {
            "url": "https://antseed.com/terms-of-service/",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-12T19:45:21.367571759Z",
            "changedAt": "2026-10-09T18:32:29.252623146Z",
            "fingerprint": "7c8b8db529a1"
          }
        ],
        "updatedAt": "2026-10-12T21:47:47.448017232Z"
      }
    },
    "answer": "Antseed scores 55.1 (C) on agent readiness against Meta Model API's 52.2 (D), and leads in 4 of 7 scored categories. Meta Model API leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.",
    "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 router",
        "b": "Model API",
        "name": "Kind"
      },
      {
        "a": "Antseed Foundation",
        "b": "Meta",
        "name": "Vendor"
      },
      {
        "a": "no (local only)",
        "b": "https://api.meta.ai/v1",
        "name": "Hosted endpoint"
      },
      {
        "a": "HTTP",
        "b": "HTTP",
        "name": "Transports"
      },
      {
        "a": "None",
        "b": "API key",
        "name": "Auth"
      },
      {
        "a": "Pay per use",
        "b": "Pay per use",
        "name": "Pricing"
      },
      {
        "a": "no",
        "b": "no",
        "name": "x402"
      },
      {
        "a": "GPL-3.0 (LICENSE in the repository). The @antseed/cli manifest on npm carries no licence field",
        "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": "2026-10-08",
        "b": "2026-10-12",
        "name": "Last release"
      },
      {
        "a": "2026-05-15",
        "b": "",
        "name": "Terms last updated"
      },
      {
        "a": "no document linked",
        "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": "not found in the text",
        "b": "",
        "name": "Terms restrict benchmarking"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Terms or service can change without notice"
      },
      {
        "a": "not found in the text",
        "b": "",
        "name": "Arbitration or class-action waiver"
      },
      {
        "a": "106 stars, 1.8k npm/wk",
        "b": "none",
        "name": "Popularity"
      }
    ],
    "faq": [
      {
        "answer": "Antseed scores 55.1 (C) on agent readiness against Meta Model API's 52.2 (D), and leads in 4 of 7 scored categories. Meta Model API leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.",
        "question": "Which is better for AI agents, Antseed or Meta Model API?"
      },
      {
        "answer": "Antseed needs no key. Meta Model API needs an API key.",
        "question": "Do Antseed and Meta Model API need an API key?"
      },
      {
        "answer": "No hosted endpoint is listed for Antseed. Meta Model API has a hosted endpoint at https://api.meta.ai/v1.",
        "question": "Can an agent call Antseed and Meta Model API without installing anything?"
      },
      {
        "answer": "Antseed is open source (GPL-3.0 (LICENSE in the repository). The @antseed/cli manifest on npm carries no licence field). No open-source release is listed for Meta Model API.",
        "question": "Are Antseed and Meta Model API open source?"
      }
    ],
    "goodFor": [
      {
        "aheadOn": [
          "Reliability, 62 against 40",
          "Payments \u0026 pricing, 70 against 20",
          "Maintenance \u0026 community, 79 against 46",
          "Transparency \u0026 trust, 59 against 52"
        ],
        "also": [
          "No key needed to call it",
          "Free to start without a card",
          "Open source"
        ],
        "goodFor": "Agents and coding tools that want pay-per-request inference with no account, and owners comfortable holding USDC on Base.",
        "slug": "antseed",
        "watchFor": "The buyer proxy copies a client's `Authorization` and `x-api-key` headers to the seller. The repository's March 2026 review flagged it and issue #1104 is open"
      },
      {
        "aheadOn": [
          "Schema \u0026 documentation, 60 against 55",
          "Agent ergonomics, 75 against 56",
          "Security \u0026 auth, 64 against 45"
        ],
        "also": [
          "A hosted endpoint, with nothing to install",
          "No incidents deducted, where Antseed loses 4 points for them"
        ],
        "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-antseed.json",
        "title": "Claude API vs Antseed",
        "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-antseed"
      },
      {
        "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-blockrun-ai.json",
        "title": "Antseed vs BlockRun.AI",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai.json",
        "title": "Antseed vs Cloudflare Workers AI",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-cohere-chat.json",
        "title": "Antseed vs Cohere Chat API (Command models)",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-cohere-chat"
      },
      {
        "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-deepseek-api.json",
        "title": "Antseed vs DeepSeek API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-deepseek-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-gemini-api.json",
        "title": "Antseed vs Gemini Developer API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-gemini-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-groq.json",
        "title": "Antseed vs GroqCloud",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-groq"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-mistral-api.json",
        "title": "Antseed vs Mistral AI API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-mistral-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-novita-ai.json",
        "title": "Antseed vs Novita AI",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-novita-ai"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-openai-api.json",
        "title": "Antseed vs OpenAI API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-openai-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference.json",
        "title": "Antseed vs Prism Inference",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-sambanova.json",
        "title": "Antseed vs SambaCloud",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-sambanova"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-siliconflow.json",
        "title": "Antseed vs SiliconFlow",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-siliconflow"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-stepfun-api.json",
        "title": "Antseed vs StepFun API",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-stepfun-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api.json",
        "title": "BlockRun.AI vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/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-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-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-meta-model-api.json",
        "title": "DeepInfra vs Meta Model API",
        "url": "https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-api"
      },
      {
        "json": "https://www.anchorterminal.com/compare/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"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-ai-gateway.json",
        "title": "Antseed vs Cloudflare AI Gateway",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-cloudflare-ai-gateway"
      },
      {
        "json": "https://www.anchorterminal.com/compare/antseed-vs-openrouter.json",
        "title": "Antseed vs OpenRouter",
        "url": "https://www.anchorterminal.com/compare/antseed-vs-openrouter"
      }
    ],
    "scores": [
      {
        "antseed": 62,
        "by": 22,
        "edge": "antseed",
        "key": "reliability",
        "meta-model-api": 40,
        "name": "Reliability",
        "weight": 16
      },
      {
        "key": "performance",
        "name": "Performance",
        "pending": true,
        "weight": 10
      },
      {
        "antseed": 55,
        "by": 5,
        "edge": "meta-model-api",
        "key": "schema",
        "meta-model-api": 60,
        "name": "Schema \u0026 documentation",
        "weight": 13
      },
      {
        "antseed": 56,
        "by": 19,
        "edge": "meta-model-api",
        "key": "ergonomics",
        "meta-model-api": 75,
        "name": "Agent ergonomics",
        "weight": 13
      },
      {
        "antseed": 45,
        "by": 19,
        "edge": "meta-model-api",
        "key": "security",
        "meta-model-api": 64,
        "name": "Security \u0026 auth",
        "weight": 14
      },
      {
        "antseed": 70,
        "by": 50,
        "edge": "antseed",
        "key": "payments",
        "meta-model-api": 20,
        "name": "Payments \u0026 pricing",
        "weight": 10
      },
      {
        "key": "tasks",
        "name": "Task success",
        "pending": true,
        "weight": 10
      },
      {
        "antseed": 79,
        "by": 33,
        "edge": "antseed",
        "key": "maintenance",
        "meta-model-api": 46,
        "name": "Maintenance \u0026 community",
        "weight": 7
      },
      {
        "antseed": 59,
        "by": 7,
        "edge": "antseed",
        "key": "transparency",
        "meta-model-api": 52,
        "name": "Transparency \u0026 trust",
        "weight": 7
      }
    ],
    "summary": "Antseed scores 55.1 (C) on agent readiness against Meta Model API's 52.2 (D), and leads in 4 of 7 scored categories. Meta Model API leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do llm inference.",
    "verdicts": {
      "antseed": "A buyer needs no account. The CLI creates a wallet key, free models answer at once and paid ones draw on deposited USDC, with seller, tokens and cost returned in response headers. Sellers are unvetted and can read prompts unless TEE-verified, the proxy forwards a client's own credential headers to them, and every package is pre-1.0.",
      "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/antseed-vs-meta-model-api",
    "json": "https://www.anchorterminal.com/compare/antseed-vs-meta-model-api.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/antseed-vs-meta-model-api.md",
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  },
  "markdown": "Antseed scores 55.1 (C) on agent readiness against Meta Model API's 52.2 (D), and leads in 4 of 7 scored categories. Meta Model API leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth. Both do llm inference.\n\n- Antseed: grade C, 55.1/100, rank #685 of 993. Markdown https://www.anchorterminal.com/tools/antseed.md · JSON https://www.anchorterminal.com/api/v1/tools/antseed.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### Antseed (C)\n\nGood for: Agents and coding tools that want pay-per-request inference with no account, and owners comfortable holding USDC on Base.\n\nAhead on:\n- Reliability, 62 against 40\n- Payments \u0026 pricing, 70 against 20\n- Maintenance \u0026 community, 79 against 46\n- Transparency \u0026 trust, 59 against 52\n\nAlso in its favour:\n- No key needed to call it\n- Free to start without a card\n- Open source\n\nWatch for: The buyer proxy copies a client's `Authorization` and `x-api-key` headers to the seller. The repository's March 2026 review flagged it and issue #1104 is open\n\n### Meta Model API (D)\n\nGood for: Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default.\n\nAhead on:\n- Schema \u0026 documentation, 60 against 55\n- Agent ergonomics, 75 against 56\n- Security \u0026 auth, 64 against 45\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- No incidents deducted, where Antseed loses 4 points for them\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 | Antseed | Meta Model API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 62 | 40 | Antseed +22 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 55 | 60 | Meta Model API +5 |\n| Agent ergonomics | 13% (16.2 this run) | 56 | 75 | Meta Model API +19 |\n| Security \u0026 auth | 14% (17.5 this run) | 45 | 64 | Meta Model API +19 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 70 | 20 | Antseed +50 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 79 | 46 | Antseed +33 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 59 | 52 | Antseed +7 |\n| Negative events | ≤15 | -4 | 0 | |\n| **Total** | | **55.1 · C** | **52.2 · D** | |\n\n## Facts side by side\n\n| Fact | Antseed | Meta Model API |\n| --- | --- | --- |\n| Kind | Model router | Model API |\n| Vendor | Antseed Foundation | Meta |\n| Hosted endpoint | no (local only) | `https://api.meta.ai/v1` |\n| Transports | HTTP | HTTP |\n| Auth | None | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | GPL-3.0 (LICENSE in the repository). The @antseed/cli manifest on npm carries no licence field | 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 | 2026-10-08 | 2026-10-12 |\n| Terms last updated | 2026-05-15 |  |\n| Privacy policy last updated | no document linked | 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 | not found in the text |  |\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 | 106 stars, 1.8k npm/wk | none |\n\n## Verdicts\n\n**Antseed.** A buyer needs no account. The CLI creates a wallet key, free models answer at once and paid ones draw on deposited USDC, with seller, tokens and cost returned in response headers. Sellers are unvetted and can read prompts unless TEE-verified, the proxy forwards a client's own credential headers to them, and every package is pre-1.0.\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### Antseed\n\n1. Send a placeholder key such as `antseed-p2p`. The proxy forwards whatever `Authorization` or `x-api-key` header the client sends to the seller\n2. Call `GET /v1/models` first and request a concrete id. The `antseed` alias works only when the desktop app has a model selected\n3. Handle 402 `insufficient_deposits` by reading `suggestedAmount`, then fund the address from `antseed buyer deposit` with USDC on Base\n4. Pass `--verifiers antseed-verifier --require-verifier` to `antseed buyer start` when prompts are private, so only TEE-verified sellers are routed\n5. Read `x-antseed-peer-id` and `x-antseed-estimated-cost-usd` on each response, and pin a seller with `\u003cpeerId\u003e@\u003cmodel\u003e` when the same one must answer\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, Antseed or Meta Model API?\n\nAntseed scores 55.1 (C) on agent readiness against Meta Model API's 52.2 (D), and leads in 4 of 7 scored categories. Meta Model API leads on schema \u0026 documentation, agent ergonomics and security \u0026 auth.\n\n### Do Antseed and Meta Model API need an API key?\n\nAntseed needs no key. Meta Model API needs an API key.\n\n### Can an agent call Antseed and Meta Model API without installing anything?\n\nNo hosted endpoint is listed for Antseed. Meta Model API has a hosted endpoint at https://api.meta.ai/v1.\n\n### Are Antseed and Meta Model API open source?\n\nAntseed is open source (GPL-3.0 (LICENSE in the repository). The @antseed/cli manifest on npm carries no licence field). No open-source release is listed for Meta Model API.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/antseed-vs-meta-model-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/antseed-vs-meta-model-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"antseed\", \"b\": \"meta-model-api\"}`. From a terminal: `anchor compare antseed meta-model-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/antseed.json and https://www.anchorterminal.com/api/v1/tools/meta-model-api.json\n\n## Other comparisons with Antseed or Meta Model API\n\n- [Claude API vs Antseed](https://www.anchorterminal.com/compare/anthropic-api-vs-antseed.md)\n- [Claude API vs Meta Model API](https://www.anchorterminal.com/compare/anthropic-api-vs-meta-model-api.md)\n- [Antseed vs BlockRun.AI](https://www.anchorterminal.com/compare/antseed-vs-blockrun-ai.md)\n- [Antseed vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/antseed-vs-cloudflare-workers-ai.md)\n- [Antseed vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/antseed-vs-cohere-chat.md)\n- [Antseed vs DeepInfra](https://www.anchorterminal.com/compare/antseed-vs-deepinfra.md)\n- [Antseed vs DeepSeek API](https://www.anchorterminal.com/compare/antseed-vs-deepseek-api.md)\n- [Antseed vs Gemini Developer API](https://www.anchorterminal.com/compare/antseed-vs-gemini-api.md)\n- [Antseed vs GroqCloud](https://www.anchorterminal.com/compare/antseed-vs-groq.md)\n- [Antseed vs Mistral AI API](https://www.anchorterminal.com/compare/antseed-vs-mistral-api.md)\n- [Antseed vs Novita AI](https://www.anchorterminal.com/compare/antseed-vs-novita-ai.md)\n- [Antseed vs OpenAI API](https://www.anchorterminal.com/compare/antseed-vs-openai-api.md)\n- [Antseed vs Prism Inference](https://www.anchorterminal.com/compare/antseed-vs-prism-inference.md)\n- [Antseed vs SambaCloud](https://www.anchorterminal.com/compare/antseed-vs-sambanova.md)\n- [Antseed vs SiliconFlow](https://www.anchorterminal.com/compare/antseed-vs-siliconflow.md)\n- [Antseed vs StepFun API](https://www.anchorterminal.com/compare/antseed-vs-stepfun-api.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 Meta Model API](https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-meta-model-api.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 Meta Model API](https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.md)\n- [DeepInfra vs Meta Model API](https://www.anchorterminal.com/compare/deepinfra-vs-meta-model-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- [Antseed vs Cloudflare AI Gateway](https://www.anchorterminal.com/compare/antseed-vs-cloudflare-ai-gateway.md)\n- [Antseed vs OpenRouter](https://www.anchorterminal.com/compare/antseed-vs-openrouter.md)\n",
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