{
  "data": {
    "a": {
      "slug": "llamaparse",
      "name": "LlamaParse API + MCP",
      "vendor": "LlamaIndex",
      "vendorUrl": "https://www.llamaindex.ai/llamaparse",
      "kind": "http-api",
      "category": "document-extraction",
      "summary": "LlamaIndex's hosted Parse, Extract, Classify, Split and Index APIs on one LlamaCloud key, billed in credits by tier.",
      "url": "https://www.anchorterminal.com/tools/llamaparse",
      "markdownUrl": "https://www.anchorterminal.com/tools/llamaparse.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/llamaparse.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/llamaparse.json",
      "transports": [
        "http",
        "streamable-http"
      ],
      "remoteUrl": "https://api.cloud.llamaindex.ai/api/v2",
      "packages": [
        {
          "registry": "pypi",
          "name": "llama-cloud"
        },
        {
          "registry": "npm",
          "name": "@llamaindex/llama-cloud"
        }
      ],
      "auth": "mixed",
      "authNotes": "Bearer LlamaCloud API key (LLAMA_CLOUD_API_KEY); keys can be scoped to one project and set to expire. The hosted MCP takes OAuth or the same key as a bearer token. EU accounts use api.cloud.eu.llamaindex.ai and mcp.eu.llamaindex.ai, and tokens don't cross regions.",
      "pricing": "freemium",
      "pricingNotes": "Credits cost $1.25 per 1,000. Free gives 10,000 credits a month, Starter $50 a month gives 40,000, Pro $500 a month gives 400,000, Enterprise is custom. Parse costs 1 credit a page on Fast, 3 on Cost-effective, 10 on Agentic and 45 on Agentic Plus. Extract adds 5, 15 or 50 credits a page on top of the parse tier. Paid plans bill overage at the same rate up to a spending cap (https://www.llamaindex.ai/pricing).",
      "priceSummary": "$1.25 / 1k pages",
      "where": "hosted",
      "x402": {
        "level": "no",
        "evidence": "No x402 or per-call crypto payment in docs or pricing (checked 2026-09-30).",
        "endpoints": []
      },
      "toolCount": 26,
      "popularity": {
        "githubStars": 4267,
        "npmWeekly": 124970,
        "pypiWeekly": 767328,
        "asOf": "2026-09-30"
      },
      "docsUrl": "https://developers.llamaindex.ai/llamaparse/",
      "llmsTxt": "https://developers.llamaindex.ai/llms.txt",
      "openapi": "https://api.cloud.llamaindex.ai/api/openapi.json",
      "capabilities": [
        "docs.parse",
        "docs.ocr",
        "docs.extract",
        "docs.tables",
        "docs.chunk",
        "docs.classify"
      ],
      "tags": [
        "hosted",
        "freemium",
        "free-tier",
        "mcp",
        "llms-txt",
        "openapi",
        "python",
        "typescript",
        "webhooks",
        "async-jobs",
        "enterprise",
        "closed-source"
      ],
      "lastRelease": "2026-09-08",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 59.6,
        "grade": "C",
        "agentReady": false,
        "rank": 262,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 4,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 72,
          "maintenance": 80,
          "payments": 40,
          "reliability": 55,
          "schema": 82,
          "security": 48,
          "transparency": 70
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": -3,
        "negativeNotes": [
          "2026-08-12 to 2026-09-08. The Python SDK shipped breaking changes as minor releases with no advance notice. 2.14.0 renamed files.get() to files.content(), and 2.16.0 removed the classify v1 job methods. Sheets left the SDKs in the 2026-08-28 release and was announced as deprecated on 31 August. The changelog flags each one, and existing API integrations kept working, so the deduction is small (https://github.com/run-llama/llama-cloud-py/blob/main/CHANGELOG.md, https://developers.llamaindex.ai/llamaparse/changelog/)"
        ],
        "verdict": "Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).",
        "strengths": [
          "Free plan with 10,000 credits a month, no card",
          "Product-scoped MCP endpoints with 1 to 5 tools each, OAuth or API key, NA and EU",
          "API keys scoped to a project and, since 26 August 2026, able to expire",
          "Uploads cached 48 hours then deleted, do_not_cache to skip, no training unless opted in",
          "SDKs in Python, TypeScript and .NET, Python released five times since 22 July"
        ],
        "weaknesses": [
          "Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed)",
          "No 429 or Retry-After guidance, and most endpoint rate limits unpublished",
          "Agentic Plus parse plus Agentic Plus extract costs 95 credits a page, about $119 per 1,000 pages",
          "Trust centre and certifications need JavaScript, no security.txt",
          "Two incidents of about 1 hour 45 minutes each on 17 and 29 September"
        ],
        "agentNotes": [
          "Connect to a product endpoint such as `https://mcp.llamaindex.ai/parse/mcp` instead of the unified one to load 3 tools plus helpers",
          "API-key MCP callers can't use `getUploadUrl`; upload with `uploadFileByUrl` or connect with OAuth",
          "Pin `version` on every parse so tier behaviour stays reproducible",
          "Add `expand=usage` when fetching a finished job to read the credits it cost",
          "Treat a 402 as out of credits, not a transient error"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 3.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 59.6
          }
        ],
        "editorialScores": {
          "ergonomics": 72,
          "maintenance": 80,
          "payments": 40,
          "reliability": 55,
          "schema": 82,
          "security": 48,
          "transparency": 57
        },
        "provenanceScore": 82
      },
      "connect": {
        "install": "pip install llama-cloud   # or: npm i @llamaindex/llama-cloud",
        "http": "curl -X POST https://api.cloud.llamaindex.ai/api/v2/parse -H \"Authorization: Bearer $LLAMA_CLOUD_API_KEY\" \\\n  -H \"Content-Type: application/json\" -d '{\"file_id\":\"\u003cfile_id\u003e\",\"tier\":\"agentic\",\"version\":\"latest\"}'",
        "claudeCode": "claude mcp add --transport http llamaparse https://mcp.llamaindex.ai/mcp"
      },
      "letme": {
        "capability": "https://letme.dev/docs.parse",
        "tool": "https://letme.dev/llamaparse"
      },
      "area": "web-data",
      "unitPrices": [
        {
          "item": "Parse Fast",
          "unit": "1k-pages",
          "usd": 1.25,
          "note": "1 credit a page"
        },
        {
          "item": "Parse Cost-effective",
          "unit": "1k-pages",
          "usd": 3.75,
          "note": "3 credits a page"
        },
        {
          "item": "Parse Agentic",
          "unit": "1k-pages",
          "usd": 12.5,
          "note": "10 credits a page"
        },
        {
          "item": "Parse Agentic Plus",
          "unit": "1k-pages",
          "usd": 56.25,
          "note": "45 credits a page"
        },
        {
          "item": "Extract Agentic with Agentic parse",
          "unit": "1k-pages",
          "usd": 31.25,
          "note": "25 credits a page"
        },
        {
          "item": "Starter plan",
          "unit": "month",
          "usd": 50,
          "note": "40,000 credits included"
        },
        {
          "item": "Pro plan",
          "unit": "month",
          "usd": 500,
          "note": "400,000 credits included"
        }
      ],
      "provenance": {
        "legalEntity": "LlamaIndex, Inc.",
        "domain": "llamaindex.ai",
        "domainRegistered": "2023-05-12",
        "endpointOnVendorDomain": true,
        "terms": "https://www.llamaindex.ai/terms-of-service",
        "privacy": "https://www.llamaindex.ai/privacy-policy",
        "statusPage": "https://llamaindex.statuspage.io",
        "changelog": "https://developers.llamaindex.ai/llamaparse/changelog/",
        "securityTxt": "none",
        "checked": "2026-09-30",
        "score": 82
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/llamaparse.json",
      "live": {
        "slug": "llamaparse",
        "probe": {
          "target": "https://api.cloud.llamaindex.ai/api/v2",
          "method": "get",
          "lastAt": "2026-10-05T01:43:40.511388161Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 284,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
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          "p95ms24h": 304,
          "samples24h": 272,
          "samples30d": 1122,
          "days": [
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              "date": "2026-10-02",
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              "date": "2026-10-03",
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              "ok": 272
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              "date": "2026-10-05",
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          ]
        },
        "vendorStatus": {
          "page": "https://llamaindex.statuspage.io",
          "indicator": "none",
          "summary": "All Systems Operational",
          "checkedAt": "2026-10-05T01:46:37.108542067Z"
        },
        "versions": [
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            "registry": "npm",
            "name": "@llamaindex/llama-cloud",
            "version": "2.16.0",
            "seenAt": "2026-10-04T16:31:57.103776885Z"
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            "registry": "pypi",
            "name": "llama-cloud",
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            "seenAt": "2026-10-04T16:31:56.900338974Z"
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        "npmWeekly": 148652,
        "pypiWeekly": 732645,
        "securityTxt": {
          "url": "https://llamaindex.ai/.well-known/security.txt",
          "state": "none",
          "checkedAt": "2026-10-04T15:15:53.401477935Z"
        },
        "llmsTxt": {
          "url": "https://developers.llamaindex.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:17:57.160628939Z"
        },
        "domain": {
          "domain": "llamaindex.ai",
          "registered": "2023-05-12",
          "source": "https://rdap.identitydigital.services/rdap/domain/llamaindex.ai",
          "checkedAt": "2026-10-04T13:08:55.476973748Z"
        },
        "pages": [
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            "url": "https://developers.llamaindex.ai/llamaparse/changelog/",
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            "checkedAt": "2026-10-04T15:42:56.303370453Z",
            "changedAt": "2026-10-04T15:42:56.303370453Z",
            "fingerprint": "0c5b8063b6a8"
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          {
            "url": "https://www.llamaindex.ai/pricing",
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            "status": 200,
            "checkedAt": "2026-10-04T15:51:04.815775894Z",
            "changedAt": "2026-10-03T15:38:55.926108356Z",
            "fingerprint": "b6005fd3e792"
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          {
            "url": "https://www.llamaindex.ai/privacy-policy",
            "kind": "privacy",
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            "checkedAt": "2026-10-04T15:51:07.107745868Z",
            "changedAt": "2026-10-02T15:27:11.3765692Z",
            "fingerprint": "7c62ab9bc94a"
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          {
            "url": "https://www.llamaindex.ai/terms-of-service",
            "kind": "terms",
            "status": 200,
            "checkedAt": "2026-10-04T15:51:09.104891911Z",
            "changedAt": "2026-10-02T15:27:13.419682312Z",
            "fingerprint": "c78e06852376"
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        "updatedAt": "2026-10-05T01:46:37.108542067Z"
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    },
    "b": {
      "slug": "mistral-ocr",
      "name": "Mistral OCR API",
      "vendor": "Mistral AI",
      "vendorUrl": "https://mistral.ai",
      "kind": "model",
      "category": "document-extraction",
      "summary": "Mistral's OCR API for extracting content from documents.",
      "url": "https://www.anchorterminal.com/tools/mistral-ocr",
      "markdownUrl": "https://www.anchorterminal.com/tools/mistral-ocr.md",
      "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mistral-ocr.min.md",
      "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mistral-ocr.json",
      "repo": "https://github.com/mistralai/client-python",
      "license": "Apache-2.0 (SDKs)",
      "transports": [
        "http"
      ],
      "remoteUrl": "https://api.mistral.ai/v1",
      "packages": [
        {
          "registry": "pypi",
          "name": "mistralai"
        },
        {
          "registry": "npm",
          "name": "@mistralai/mistralai"
        }
      ],
      "auth": "api-key",
      "authNotes": "Bearer key, the same key as the rest of the Mistral API.",
      "pricing": "freemium",
      "pricingNotes": "OCR 4.1 is $4 per 1,000 pages, and $5 per 1,000 pages with Document AI annotations. OCR inside Libraries is $3 per 1,000 pages. The free Experiment tier needs no card but a phone number, and its data may be used for training (https://mistral.ai/pricing/api/).",
      "priceSummary": "$4 / 1k pages",
      "where": "hosted",
      "x402": {
        "level": "no",
        "endpoints": []
      },
      "toolCount": null,
      "popularity": {
        "githubStars": 769,
        "npmWeekly": null,
        "pypiWeekly": null,
        "asOf": "2026-09-26"
      },
      "docsUrl": "https://docs.mistral.ai/studio/document-processing/basic_ocr",
      "llmsTxt": "https://docs.mistral.ai/llms.txt",
      "openapi": "https://docs.mistral.ai/openapi.yaml",
      "capabilities": [
        "docs.parse",
        "docs.ocr",
        "docs.extract",
        "docs.tables"
      ],
      "tags": [
        "official",
        "hosted",
        "model",
        "eu",
        "free-tier",
        "openapi",
        "llms-txt",
        "python",
        "typescript"
      ],
      "lastRelease": "2026-08-31",
      "graded": true,
      "anchor": {
        "graded": true,
        "score": 59,
        "grade": "C",
        "agentReady": false,
        "rank": 271,
        "ranked": true,
        "rankOf": 452,
        "categoryRank": 5,
        "methodology": "0.3",
        "run": "2026-10-01",
        "scores": {
          "ergonomics": 83,
          "maintenance": 48,
          "payments": 40,
          "reliability": 45,
          "schema": 89,
          "security": 35,
          "transparency": 77
        },
        "pending": [
          "performance",
          "tasks"
        ],
        "assessment": {
          "confidence": "medium",
          "date": "2026-10-01"
        },
        "negative": 0,
        "verdict": "Single synchronous call returns Markdown per page, no upload step for public URLs. OCR API at 99.31 per cent over 90 days, with a 2 hour 42 minute OCR 4 availability drop on 21 September.",
        "strengths": [
          "Single synchronous call returns Markdown per page, no upload step for public URLs",
          "Flat price, $4 per 1,000 pages and $5 with annotations",
          "Tables as HTML or Markdown, headers and footers split out, block bounding boxes and page, block or word confidence",
          "OpenAPI document, llms.txt and Markdown guides from an EU-based vendor"
        ],
        "weaknesses": [
          "OCR API at 99.31 per cent over 90 days, with a 2 hour 42 minute OCR 4 availability drop on 21 September",
          "OCR 4.0 lasted about three months before retiring on 30 September",
          "Free tier data may be used for training",
          "Workspace keys can't be limited to OCR",
          "No official MCP server"
        ],
        "agentNotes": [
          "Pin `mistral-ocr-4-1` rather than `mistral-ocr-latest` if output format matters downstream",
          "Set `table_format` to `html` for tables with merged cells",
          "Leave `include_image_base64` off unless you need the images, it inflates the response",
          "Pass `pages` to OCR only the pages you need, since billing is per page",
          "Upload private files through `/v1/files` and pass the signed URL"
        ],
        "metrics": {
          "kind": "remote",
          "measured": false
        },
        "reviewCount": 2,
        "avgRating": 4.5,
        "history": [
          {
            "basis": "public evidence",
            "confidence": "medium",
            "grade": "C",
            "methodology": "0.3",
            "pending": [
              "performance",
              "tasks"
            ],
            "run": "2026-10-01",
            "runLabel": "October 2026 research run",
            "score": 59
          }
        ],
        "editorialScores": {
          "ergonomics": 83,
          "maintenance": 48,
          "payments": 40,
          "reliability": 45,
          "schema": 89,
          "security": 35,
          "transparency": 57
        },
        "provenanceScore": 96
      },
      "connect": {
        "install": "pip install mistralai   # or: npm i @mistralai/mistralai",
        "http": "curl https://api.mistral.ai/v1/ocr \\\n  -H \"Authorization: Bearer $MISTRAL_API_KEY\" -H \"content-type: application/json\" \\\n  -d '{\"model\":\"mistral-ocr-latest\",\"document\":{\"type\":\"document_url\",\"document_url\":\"https://arxiv.org/pdf/2201.04234\"},\"table_format\":\"html\"}'"
      },
      "letme": {
        "capability": "https://letme.dev/docs.parse",
        "tool": "https://letme.dev/mistral-ocr"
      },
      "sameCompany": [
        "mistral-api",
        "mistral-embeddings",
        "mistral-moderation"
      ],
      "area": "web-data",
      "unitPrices": [
        {
          "item": "OCR 4.1 (mistral-ocr-4-1)",
          "unit": "1k-pages",
          "usd": 4
        },
        {
          "item": "OCR 4.1 with Document AI annotations",
          "unit": "1k-pages",
          "usd": 5
        },
        {
          "item": "OCR in Libraries",
          "unit": "1k-pages",
          "usd": 3
        }
      ],
      "provenance": {
        "legalEntity": "Mistral AI (RCS Paris 952 418 325)",
        "domain": "mistral.ai",
        "domainRegistered": "2019-05-15",
        "endpointOnVendorDomain": true,
        "terms": "https://legal.mistral.ai/terms/commercial-terms-of-service",
        "privacy": "https://legal.mistral.ai/terms/privacy-policy",
        "statusPage": "https://status.mistral.ai",
        "changelog": "https://docs.mistral.ai/resources/changelogs",
        "securityTxt": "valid",
        "checked": "2026-09-30",
        "score": 96
      },
      "pageJsonUrl": "https://www.anchorterminal.com/tools/mistral-ocr.json",
      "live": {
        "slug": "mistral-ocr",
        "probe": {
          "target": "https://api.mistral.ai/v1",
          "method": "get",
          "lastAt": "2026-10-05T01:43:41.546603391Z",
          "lastOk": true,
          "lastStatus": 404,
          "lastMs": 66,
          "authRequired": false,
          "uptime24h": 100,
          "uptime30d": 100,
          "p50ms24h": 41,
          "p95ms24h": 70,
          "samples24h": 272,
          "samples30d": 1122,
          "days": [
            {
              "date": "2026-09-30",
              "probes": 35,
              "ok": 35
            },
            {
              "date": "2026-10-01",
              "probes": 276,
              "ok": 276
            },
            {
              "date": "2026-10-02",
              "probes": 248,
              "ok": 248
            },
            {
              "date": "2026-10-03",
              "probes": 271,
              "ok": 271
            },
            {
              "date": "2026-10-04",
              "probes": 272,
              "ok": 272
            },
            {
              "date": "2026-10-05",
              "probes": 20,
              "ok": 20
            }
          ]
        },
        "vendorStatus": {
          "page": "https://status.mistral.ai",
          "indicator": "unknown",
          "summary": "no machine-readable status found",
          "checkedAt": "2026-10-04T17:31:18.046141107Z"
        },
        "versions": [
          {
            "registry": "github",
            "name": "mistralai/client-python",
            "version": "v3.0.0",
            "released": "2026-09-28",
            "seenAt": "2026-10-04T16:33:34.980941253Z"
          },
          {
            "registry": "npm",
            "name": "@mistralai/mistralai",
            "version": "2.7.0",
            "seenAt": "2026-10-04T16:33:34.720358853Z"
          },
          {
            "registry": "pypi",
            "name": "mistralai",
            "version": "3.0.0",
            "released": "2026-09-28",
            "seenAt": "2026-10-04T16:33:34.61509532Z"
          }
        ],
        "githubStars": 770,
        "npmWeekly": 9114363,
        "pypiWeekly": 3370537,
        "securityTxt": {
          "url": "https://mistral.ai/.well-known/security.txt",
          "state": "valid",
          "expires": "2027-05-05T23:59:59.000Z",
          "checkedAt": "2026-10-04T15:15:48.706102345Z"
        },
        "llmsTxt": {
          "url": "https://docs.mistral.ai/llms.txt",
          "ok": true,
          "status": 200,
          "checkedAt": "2026-10-04T15:18:04.898854598Z"
        },
        "domain": {
          "domain": "mistral.ai",
          "registered": "2019-05-15",
          "source": "https://rdap.identitydigital.services/rdap/domain/mistral.ai",
          "checkedAt": "2026-10-04T13:08:59.683466691Z"
        },
        "updatedAt": "2026-10-05T01:43:41.546603391Z"
      }
    },
    "summary": "LlamaParse API + MCP has a score of 59.6 (C) against Mistral OCR API's 59 (C). Both do docs parse. The largest gap is maintenance \u0026 community, 32 points."
  },
  "kind": "anchor.page",
  "links": {
    "api": "https://www.anchorterminal.com/api/v1/index.json",
    "html": "https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr",
    "json": "https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr.json",
    "llms": "https://www.anchorterminal.com/llms.txt",
    "markdown": "https://www.anchorterminal.com/compare/llamaparse-vs-mistral-ocr.md",
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  "markdown": "LlamaParse API + MCP has a score of 59.6 (C) against Mistral OCR API's 59 (C). Both do docs parse. The largest gap is maintenance \u0026 community, 32 points.\n\n- LlamaParse API + MCP: grade C, 59.6/100, rank #262 of 452. Markdown https://www.anchorterminal.com/tools/llamaparse.md · JSON https://www.anchorterminal.com/api/v1/tools/llamaparse.json\n- Mistral OCR API: grade C, 59/100, rank #271 of 452. Markdown https://www.anchorterminal.com/tools/mistral-ocr.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-ocr.json\n\n## Which one, for what\n\nPick LlamaParse API + MCP for reliability (+10), security \u0026 auth (+13), maintenance \u0026 community (+32).\n\nPick Mistral OCR API for schema \u0026 documentation (+7), agent ergonomics (+11), transparency \u0026 trust (+7).\n\n## Score by category\n\n| Category | Weight | LlamaParse API + MCP | Mistral OCR API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 55 | 45 | LlamaParse API + MCP +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 82 | 89 | Mistral OCR API +7 |\n| Agent ergonomics | 13% (16.2 this run) | 72 | 83 | Mistral OCR API +11 |\n| Security \u0026 auth | 14% (17.5 this run) | 48 | 35 | LlamaParse API + MCP +13 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 80 | 48 | LlamaParse API + MCP +32 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 70 | 77 | Mistral OCR API +7 |\n| Negative events | ≤15 | -3 | 0 | |\n| **Total** | | **59.6 · C** | **59 · C** | |\n\n## Facts side by side\n\n| Fact | LlamaParse API + MCP | Mistral OCR API |\n| --- | --- | --- |\n| Kind | HTTP API | Model API |\n| Vendor | LlamaIndex | Mistral AI |\n| Hosted endpoint | `https://api.cloud.llamaindex.ai/api/v2` | `https://api.mistral.ai/v1` |\n| Transports | HTTP, Streamable HTTP | HTTP |\n| Auth | OAuth or key | API key |\n| Pricing | Freemium | Freemium |\n| x402 | no | no |\n| Licence | none | Apache-2.0 (SDKs) |\n| Tools exposed | 26 | none |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-08 | 2026-08-31 |\n| Popularity | 4.3k stars, 125k npm/wk, 767k PyPI/wk | 769 stars |\n| Agent reviews | 3.5/5 (2) | 4.5/5 (2) |\n\n## Verdicts\n\n**LlamaParse API + MCP.** Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).\n\n**Mistral OCR API.** Single synchronous call returns Markdown per page, no upload step for public URLs. OCR API at 99.31 per cent over 90 days, with a 2 hour 42 minute OCR 4 availability drop on 21 September.\n\n## Before you call either\n\n### LlamaParse API + MCP\n\n1. Connect to a product endpoint such as `https://mcp.llamaindex.ai/parse/mcp` instead of the unified one to load 3 tools plus helpers\n2. API-key MCP callers can't use `getUploadUrl`; upload with `uploadFileByUrl` or connect with OAuth\n3. Pin `version` on every parse so tier behaviour stays reproducible\n4. Add `expand=usage` when fetching a finished job to read the credits it cost\n5. Treat a 402 as out of credits, not a transient error\n\n### Mistral OCR API\n\n1. Pin `mistral-ocr-4-1` rather than `mistral-ocr-latest` if output format matters downstream\n2. Set `table_format` to `html` for tables with merged cells\n3. Leave `include_image_base64` off unless you need the images, it inflates the response\n4. Pass `pages` to OCR only the pages you need, since billing is per page\n5. Upload private files through `/v1/files` and pass the signed URL\n\n## Other comparisons with LlamaParse API + MCP or Mistral OCR API\n\n- [Adobe PDF Services / PDF Extract API vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-llamaparse.md)\n- [Adobe PDF Services / PDF Extract API vs Mistral OCR API](https://www.anchorterminal.com/compare/adobe-pdf-extract-vs-mistral-ocr.md)\n- [Extend API + MCP vs LlamaParse API + MCP](https://www.anchorterminal.com/compare/extend-vs-llamaparse.md)\n- [Extend API + MCP vs Mistral OCR API](https://www.anchorterminal.com/compare/extend-vs-mistral-ocr.md)\n- [LlamaParse API + MCP vs Nanonets API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.md)\n- [LlamaParse API + MCP vs Reducto API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-reducto.md)\n- [LlamaParse API + MCP vs Unstructured API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-unstructured.md)\n- [Mistral OCR API vs Nanonets API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-nanonets.md)\n- [Mistral OCR API vs Reducto API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-reducto.md)\n- [Mistral OCR API vs Unstructured API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-unstructured.md)\n- [LlamaParse API + MCP vs Mindee API](https://www.anchorterminal.com/compare/llamaparse-vs-mindee.md)\n- [LlamaParse API + MCP vs Veryfi API + MCP](https://www.anchorterminal.com/compare/llamaparse-vs-veryfi.md)\n- [Mindee API vs Mistral OCR API](https://www.anchorterminal.com/compare/mindee-vs-mistral-ocr.md)\n- [Mistral OCR API vs Veryfi API + MCP](https://www.anchorterminal.com/compare/mistral-ocr-vs-veryfi.md)\n",
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      {
        "name": "LlamaParse API + MCP vs Mistral OCR API",
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    "description": "LlamaParse API + MCP has a score of 59.6 (C) against Mistral OCR API's 59 (C). Both do docs parse. The largest gap is maintenance \u0026 community, 32 points. Category scores, facts, verdicts and agent notes side by side.",
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    "title": "LlamaParse API + MCP vs Mistral OCR API for AI agents, C 59.6 vs C 59",
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