{ "data": { "a": { "slug": "claude-mythos-5-2", "name": "Claude Mythos 5.2", "vendor": "Anthropic", "vendorUrl": "https://www.anthropic.com", "kind": "model", "category": "inference", "summary": "Claude Mythos 5.2 is the same model as Claude Fable 5.2 without Fable's stronger cyber and biology safeguards, for organisations Anthropic verifies, with a 1M-token context, text and images in, at $8 and $40 per million tokens.", "url": "https://www.anchorterminal.com/tools/claude-mythos-5-2", "markdownUrl": "https://www.anchorterminal.com/tools/claude-mythos-5-2.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/claude-mythos-5-2.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/claude-mythos-5-2.json", "dns": "claude-mythos-5-2.grade.anchorterminal.com", "license": "Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service", "transports": [], "remoteUrl": "https://api.anthropic.com/v1", "packages": [], "auth": "api-key", "authNotes": "A Claude API key from the Console, sent as `x-api-key` or a bearer token with `anthropic-version`, per the Claude API listing. Access to claude-mythos-5-2 needs the organisation verified through one of Anthropic's programmes, the Cyber Verification Program or the Life Sciences Verification Program, applied for in a form and decided by Anthropic.", "pricing": "usage", "pricingNotes": "$8 per million input tokens, $40 output, cache writes $10 (5 minutes) or $16 (1 hour), cache reads $0.20, batch at half price, fast mode $16 and $80. Requires 30-day retention. Only after verification. New users get a small amount of free credit, per the Claude API listing (checked 2026-11-09).", "priceSummary": "Pay per use", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on Anthropic's pricing page, which bills tokens to a Console account (checked 2026-11-09).", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-11-09" }, "docsUrl": "https://platform.claude.com/docs/en/models/mythos-5-2/overview", "llmsTxt": "https://platform.claude.com/llms.txt", "capabilities": [ "inference.llm" ], "tags": [ "official", "hosted", "model", "multimodal", "vision", "reasoning", "long-context", "tool-calling", "usage-priced", "card-required", "closed-source", "llms-txt", "new", "approval-required", "gated" ], "lastRelease": "2026-11-09", "graded": true, "disclosure": "Anthropic makes the models this research run and the review panel run on. This listing was graded by an agent running on Claude, by the same published checklist as every other listing, from Anthropic's own pages and the Claude API listing's platform readings, with every judgement call written in the note. The panel reviews Anthropic's listings at our founder's request, and every review carries a conflict label, because every reviewer and the arbiter run on Claude.", "anchor": { "graded": true, "score": 76.1, "grade": "BB", "agentReady": true, "rank": 51, "ranked": true, "rankOf": 1517, "categoryRank": 8, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 95, "maintenance": 91, "payments": 20, "reliability": 60, "schema": 90, "security": 92, "transparency": 85 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-09" }, "negative": 0, "verdict": "Fable 5.2 without Fable's stronger cyber and biology safeguards, for verified security and life-science teams, on the same mature API at $8 and $40 per million tokens. Most agents can't use it, since access depends on Anthropic approving the organisation, and it requires 30-day retention.", "bestFor": "Security and life-science teams whose organisation Anthropic has verified, who want Fable 5.2's capability without the classifiers that send high-risk cyber and biology requests to older models.", "disclosure": "Anthropic makes the models this research run and the review panel run on. This listing was graded by an agent running on Claude, by the same published checklist as every other listing, from Anthropic's own pages and the Claude API listing's platform readings, with every judgement call written in the note. The panel reviews Anthropic's listings at our founder's request, and every review carries a conflict label, because every reviewer and the arbiter run on Claude.", "strengths": [ "$8 input and $40 output per million tokens, 20% below Fable 5.1, with cache reads at 2.5% of input", "1M-token context and 128K output, text and images in", "On the Claude API, Bedrock, Google Cloud and Microsoft Foundry once the organisation is verified", "The Claude API's status page, per-model rate limits, SDKs in seven languages and 60-day retirement notice", "Retirement not before 9 November 2027, stated on the model page" ], "weaknesses": [ "Only for organisations Anthropic verifies, so an agent can't start on it alone", "Adaptive thinking is always on and can't be turned off", "Forced tool use (tool_choice any or tool) and sampling parameters return a 400", "Requires 30-day data retention and is outside zero data retention unless Anthropic authorises it", "Benchmark figures are Anthropic's own" ], "agentNotes": [ "Confirm your organisation is verified before routing work here; otherwise use claude-fable-5-2", "Call https://api.anthropic.com/v1/messages with model claude-mythos-5-2 and your key", "Steer thinking with the effort parameter (default high); don't send temperature, top_p or top_k", "Don't force a tool with tool_choice any or tool; describe the tool and let the model choose", "Thinking blocks from it are read only by Fable 5.2 and Mythos 5.2, so keep them out of other models' context", "Check data retention before sending regulated data, since 30 days is required" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "BB", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 76.1 } ], "editorialScores": { "ergonomics": 95, "maintenance": 91, "payments": 20, "reliability": 60, "schema": 90, "security": 92, "transparency": 75 }, "provenanceScore": 95, "checked": { "categories": { "ergonomics": "2026-11-09", "maintenance": "2026-11-09", "payments": "2026-11-09", "reliability": "2026-11-09", "schema": "2026-11-09", "security": "2026-11-09", "transparency": "2026-11-09" }, "last": "2026-11-09", "oldest": "2026-11-09", "stale": false, "staleAfterDays": 90 } }, "connect": { "http": "curl https://api.anthropic.com/v1/messages \\\n -H \"x-api-key: $ANTHROPIC_API_KEY\" -H \"anthropic-version: 2023-06-01\" \\\n -H \"content-type: application/json\" \\\n -d '{\"model\":\"claude-mythos-5-2\",\"max_tokens\":1024,\"messages\":[{\"role\":\"user\",\"content\":\"hello\"}]}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/claude-mythos-5-2" }, "sameCompany": [ "claude-agent-sdk", "claude-code" ], "sameModel": [ "anthropic-api", "claude-fable-5-2" ], "area": "models", "unitPrices": [ { "item": "Claude Mythos 5.2 input", "unit": "1m-tokens", "usd": 8, "note": "Fast mode $16" }, { "item": "Claude Mythos 5.2 cached input", "unit": "1m-tokens", "usd": 0.2, "note": "0.025x input; 5-minute write $10, 1-hour write $16" }, { "item": "Claude Mythos 5.2 output", "unit": "1m-tokens", "usd": 40, "note": "Fast mode $80" } ], "provenance": { "legalEntity": "Anthropic, PBC", "domain": "anthropic.com", "domainRegistered": "2001-10-02", "domainNote": "The API is on anthropic.com. anthropic.com was registered in 2001, long before the company, so domain age flatters it a little.", "endpointOnVendorDomain": true, "terms": "https://www.anthropic.com/legal/commercial-terms", "privacy": "https://www.anthropic.com/legal/privacy", "statusPage": "https://status.claude.com", "changelog": "https://platform.claude.com/docs/en/release-notes/overview", "securityTxt": "valid", "checked": "2026-11-09", "notes": [ "Company and platform facts are the Claude API listing's (checked 1 November 2026): Anthropic, PBC, or Anthropic Ireland, Limited for the EEA, Switzerland and the UK, under the Commercial Terms; status page at status.claude.com; dated release notes; security.txt valid to 2026-12-31.", "www.anthropic.com's and platform.claude.com's robots.txt allow our reader on the pages read on 9 November (platform.claude.com disallows only /api/). domainRegistered is carried from the Claude API listing's RDAP reading." ], "score": 95 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/claude-mythos-5-2.json", "live": { "slug": "claude-mythos-5-2", "probe": { "target": "https://api.anthropic.com/v1", "method": "get", "lastAt": "2026-11-10T17:29:33.239422059Z", "lastOk": true, "lastStatus": 404, "lastMs": 268, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 126, "p95ms24h": 201, "samples24h": 173, "samples30d": 173, "days": [ { "date": "2026-11-10", "probes": 173, "ok": 173 } ], "since": "2026-11-10T00:33:00.829119768Z" }, "vendorStatus": { "page": "https://status.claude.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-10T17:32:54.800280705Z" }, "securityTxt": { "url": "https://anthropic.com/.well-known/security.txt", "state": "valid", "expires": "2026-12-31T23:59:00.000Z", "checkedAt": "2026-11-10T16:07:43.984717176Z" }, "llmsTxt": { "url": "https://platform.claude.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-10T15:42:27.294195707Z" }, "updatedAt": "2026-11-10T17:32:54.800280705Z" }, "streak": { "days": 0, "from": "2026-11-10", "sinceWatching": true, "best": 0 } }, "answer": "Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Mistral AI API's 65.7 (B), and leads in 5 of 7 scored categories. Mistral AI API leads on payments \u0026 pricing.", "b": { "slug": "mistral-api", "name": "Mistral AI API", "vendor": "Mistral AI", "vendorUrl": "https://mistral.ai", "kind": "model", "category": "inference", "summary": "Mistral's API for its open-weight and proprietary models, with EU and US regional endpoints.", "url": "https://www.anchorterminal.com/tools/mistral-api", "markdownUrl": "https://www.anchorterminal.com/tools/mistral-api.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/mistral-api.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/mistral-api.json", "dns": "mistral-api.grade.anchorterminal.com", "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", "main": true }, { "registry": "npm", "name": "@mistralai/mistralai", "main": true } ], "auth": "api-key", "authNotes": "Bearer key. Regional EU and US endpoints are opt-in.", "pricing": "freemium", "pricingNotes": "Free Experiment tier with no card, but a phone number, and its data may be used for training. Cached input 10% of the input price, batch half price, regional endpoints 1.1x. Mistral Large 4 (preview) is $0.70/$2.10 per million tokens, cached input $0.07, on 1 November. Also resells Z.ai GLM 5.3 at $1.40/$4.40, GLM 5.3 Flash at $0.15/$0.50 and DeepSeek V4.1 Flash 1017 (preview) at $0.30/$1.20 (https://mistral.ai/pricing/api/).", "priceSummary": "from $0.10 / 1M in", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 769, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-09-26" }, "docsUrl": "https://docs.mistral.ai", "rateLimitsUrl": "https://docs.mistral.ai/admin/user-management-finops/tier", "llmsTxt": "https://docs.mistral.ai/llms.txt", "openapi": "https://docs.mistral.ai/openapi.yaml", "capabilities": [ "inference.llm", "inference.open-weights" ], "tags": [ "official", "hosted", "model", "eu", "open-weights", "free-tier", "openapi", "llms-txt" ], "lastRelease": "2026-10-28", "graded": true, "anchor": { "graded": true, "score": 65.7, "grade": "B", "agentReady": false, "rank": 409, "ranked": true, "rankOf": 1517, "categoryRank": 18, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 91, "maintenance": 80, "payments": 40, "reliability": 50, "schema": 93, "security": 73, "transparency": 80 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-01" }, "negative": -6, "negativeNotes": [ "2026-05-12. The `mistralai` 2.4.6 package on PyPI, one of this listing's two official SDKs, ran a credential-harvesting script on import for about three hours, and `@mistralai/mistralai` 2.2.2 to 2.2.4 on npm were replaced too. Mistral published advisory MAI-2026-002, removed the packages and closed its investigation on 14 May. Fixed and documented, so 3 points, as mistral-voxtral-transcribe carries for the same advisory (https://docs.mistral.ai/resources/security-advisories/MAI-2026-002). -3", "2026-10-20 to 2026-10-27. Minor releases of both official SDKs list \"Breaking changes\" with no advance notice found. Python 3.3.0 (20 October) and TypeScript 3.1.0 change the `type` field in `chat.complete()` and `agents.complete()` and remove `expressiveness` and `phoneme_hints` from audio agent configuration. Python 3.4.0 (23 October) makes `configuration` required on `audio.agents.create()` and renames `models.Format` to `FormatEnum`. Python 3.6.0 and TypeScript 3.4.0 (27 October) remove usage fields from speech responses. One term at the floor, as svix's several breaking minors were read (https://github.com/mistralai/client-python/blob/main/RELEASES.md). -3" ], "verdict": "Public OpenAPI document and an llms.txt with Markdown twins. Data sent to Labs and preview models, Mistral Large 4 among them, may be used for training whatever the opt-out or zero-retention setting. The default model, Medium 3.5, was deprecated on 31 October 2026 for retirement on 30 April 2027, and recent SDK minor releases carried breaking changes.", "bestFor": "Teams that need EU processing, open-weight models they can later run themselves, or an API an agent can read from an OpenAPI file.", "strengths": [ "Public OpenAPI 3.1.0 document at docs.mistral.ai/openapi.yaml and an llms.txt with Markdown twins", "Minimum 6 months' notice before a GA model retires, kept for Medium 3.5 and Large 3, and retired ids return 404", "Workspace-scoped API keys with expiry dates, and service accounts bound to workspace roles", "Three dated security advisories published in the docs in 2026, with affected versions and remediation", "Free Experiment tier with no card, and Batch at half price" ], "weaknesses": [ "Labs and preview models, Large 4 among them, may train on data sent from 2026-09-25, whatever the opt-out or zero-retention setting", "Mistral Medium 3 and 3.1, both GA, retired on 31 August 2026 after 101 days' notice against a published 6-month minimum", "SDK minor releases from 20 to 27 October 2026 removed and changed fields, marked breaking on release day", "The `mistralai` 2.4.6 PyPI release of 12 May 2026 harvested credentials on import for about three hours", "Rate-limit numbers are only in the console, no SLA found, and the status page blocks automated readers" ], "agentNotes": [ "Stay off `labs-*` and preview models, `mistral-large-4` included while it is in preview, for anything confidential", "Plan a move off `mistral-medium-3-5` and `mistral-large-2512` before 30 April 2027. `mistral-medium-latest` still points to Medium 3.5", "Pin each SDK to one version. Minor releases of `mistralai` and `@mistralai/mistralai` have removed fields without notice", "Treat a 404 on a model id as retirement and read the models page for the replacement", "Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 4, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 65.7 } ], "editorialScores": { "ergonomics": 91, "maintenance": 80, "payments": 40, "reliability": 50, "schema": 93, "security": 73, "transparency": 68 }, "provenanceScore": 92, "checked": { "categories": { "ergonomics": "2026-11-01", "maintenance": "2026-11-01", "payments": "2026-11-01", "reliability": "2026-11-01", "schema": "2026-11-01", "security": "2026-11-01", "transparency": "2026-11-01" }, "last": "2026-11-01", "lastMoved": "2026-11-01", "oldest": "2026-11-01", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install mistralai # or: npm i @mistralai/mistralai", "http": "curl https://api.mistral.ai/v1/chat/completions \\\n -H \"Authorization: Bearer $MISTRAL_API_KEY\" -H \"content-type: application/json\" \\\n -d '{\"model\":\"mistral-medium-3-5\",\"messages\":[{\"role\":\"user\",\"content\":\"bonjour\"}]}'" }, "letme": { "capability": "https://letme.dev/inference.llm", "tool": "https://letme.dev/mistral-api" }, "sameCompany": [ "mistral-embeddings", "mistral-moderation", "mistral-voxtral-transcribe", "voxtral-mini-4b-realtime-2602", "mistral-ocr", "mistral-vibe-cli" ], "sameModel": [ "mistral-large-4" ], "area": "models", "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": "2026-11-01", "notes": [ "security.txt read on 2026-11-01, Contact security@mistral.ai, Expires 2027-05-05, Policy a HackerOne submission form", "Commercial terms effective 2026-09-25 and DPA effective 2026-07-27, both re-read on 2026-11-01", "status.mistral.ai answered robots.txt and its pages with a Cloudflare bot check on 2026-11-01" ], "score": 92 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/mistral-api.json", "live": { "slug": "mistral-api", "probe": { "target": "https://api.mistral.ai/v1", "method": "get", "lastAt": "2026-11-10T17:29:59.701690859Z", "lastOk": true, "lastStatus": 404, "lastMs": 207, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 77, "p95ms24h": 166, "samples24h": 243, "samples30d": 7840, "days": [ { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 252 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 255, "ok": 255 }, { "date": "2026-10-20", "probes": 252, "ok": 252 }, { "date": "2026-10-21", "probes": 253, "ok": 253 }, { "date": "2026-10-22", "probes": 253, "ok": 253 }, { "date": "2026-10-23", "probes": 248, "ok": 248 }, { "date": "2026-10-24", "probes": 251, "ok": 251 }, { "date": "2026-10-25", "probes": 250, "ok": 250 }, { "date": "2026-10-26", "probes": 252, "ok": 252 }, { "date": "2026-10-27", "probes": 249, "ok": 249 }, { "date": "2026-10-28", "probes": 251, "ok": 251 }, { "date": "2026-10-29", "probes": 248, "ok": 248 }, { "date": "2026-10-30", "probes": 249, "ok": 249 }, { "date": "2026-10-31", "probes": 251, "ok": 251 }, { "date": "2026-11-01", "probes": 249, "ok": 249 }, { "date": "2026-11-02", "probes": 250, "ok": 250 }, { "date": "2026-11-03", "probes": 248, "ok": 248 }, { "date": "2026-11-04", "probes": 246, "ok": 246 }, { "date": "2026-11-05", "probes": 185, "ok": 185 }, { "date": "2026-11-06", "probes": 241, "ok": 241 }, { "date": "2026-11-07", "probes": 243, "ok": 243 }, { "date": "2026-11-08", "probes": 243, "ok": 243 }, { "date": "2026-11-09", "probes": 243, "ok": 243 }, { "date": "2026-11-10", "probes": 178, "ok": 178 } ], "since": "2026-10-08T00:00:00Z" }, "vendorStatus": { "page": "https://status.mistral.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-10T17:34:10.587588727Z" }, "versions": [ { "registry": "github", "name": "mistralai/client-python", "version": "v3.7.0", "released": "2026-11-01", "seenAt": "2026-11-10T03:59:25.258431207Z" }, { "registry": "npm", "name": "@mistralai/mistralai", "version": "3.5.0", "seenAt": "2026-11-10T03:59:24.386093845Z" }, { "registry": "pypi", "name": "mistralai", "version": "3.7.0", "released": "2026-11-01", "seenAt": "2026-11-10T03:59:24.275974131Z" } ], "githubStars": 772, "npmWeekly": 6669716, "pypiWeekly": 3623070, "securityTxt": { "url": "https://mistral.ai/.well-known/security.txt", "state": "valid", "expires": "2027-05-05T23:59:59.000Z", "checkedAt": "2026-11-10T16:09:22.417413189Z" }, "llmsTxt": { "url": "https://docs.mistral.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-10T15:43:42.439971781Z" }, "domain": { "domain": "mistral.ai", "registered": "2019-05-15", "source": "https://rdap.identitydigital.services/rdap/domain/mistral.ai", "checkedAt": "2026-11-08T14:56:43.249208963Z" }, "pages": [ { "url": "https://docs.mistral.ai/models.md", "kind": "deprecations", "status": 304, "checkedAt": "2026-11-10T16:17:46.435948271Z", "changedAt": "2026-11-06T13:29:25.955541081Z", "fingerprint": "47c11be3c457" }, { "url": "https://docs.mistral.ai/resources/changelogs", "kind": "deprecations", "status": 200, "checkedAt": "2026-11-10T16:17:54.488493592Z", "changedAt": "2026-10-23T01:45:57.577340637Z", "fingerprint": "a6e40e62ddee" }, { "url": "https://legal.mistral.ai/terms/commercial-terms-of-service", "kind": "deprecations", "status": 304, "checkedAt": "2026-11-10T16:24:11.049505229Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "227daf1e9929" }, { "url": "https://raw.githubusercontent.com/mistralai/client-python/main/RELEASES.md", "kind": "deprecations", "status": 304, "checkedAt": "2026-11-10T16:33:03.612556146Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "5c6b09386d51" }, { "url": "https://mistral.ai/pricing/api/", "kind": "pricing", "status": 200, "checkedAt": "2026-11-10T16:25:36.737026103Z", "changedAt": "2026-11-05T12:37:30.141983295Z", "fingerprint": "ebe78a915333" }, { "url": "https://legal.mistral.ai/terms/privacy-policy", "kind": "privacy", "status": 304, "checkedAt": "2026-11-10T16:24:13.52547853Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e74211012ef6" } ], "models": { "ministral-3b-2512": { "openrouterId": "mistralai/ministral-3b-2512", "tools": true, "structuredOutputs": true, "jsonMode": true, "reasoning": false, "input": [ "image", "text" ], "promptCaching": true, "contextTokens": 131072, "maxOutput": 104857, "checkedAt": "2026-11-09T23:49:27.454762861Z" }, "mistral-large-2512": { "openrouterId": "mistralai/mistral-large-2512", "tools": true, "structuredOutputs": true, "jsonMode": true, "reasoning": false, "input": [ "file", "image", "text" ], "promptCaching": true, "contextTokens": 262144, "maxOutput": 209715, "checkedAt": "2026-11-09T23:49:27.454762861Z" }, "mistral-large-4": { "openrouterId": "mistralai/mistral-large-4-0", "tools": true, "structuredOutputs": true, "jsonMode": true, "reasoning": true, "input": [ "image", "text" ], "promptCaching": true, "contextTokens": 1048576, "maxOutput": 262144, "checkedAt": "2026-11-09T23:49:27.454762861Z" }, "mistral-medium-3-5": { "openrouterId": "mistralai/mistral-medium-3-5", "tools": true, "structuredOutputs": true, "jsonMode": true, "reasoning": true, "input": [ "file", "image", "text" ], "promptCaching": false, "contextTokens": 262144, "maxOutput": 209715, "checkedAt": "2026-11-09T23:49:27.454762861Z" }, "mistral-small-2603": { "openrouterId": "mistralai/mistral-small-2603", "tools": true, "structuredOutputs": true, "jsonMode": true, "reasoning": true, "input": [ "image", "text" ], "promptCaching": true, "contextTokens": 262144, "maxOutput": 209715, "checkedAt": "2026-11-09T23:49:27.454762861Z" } }, "github": { "repo": "mistralai/client-python", "checkedAt": "2026-11-09T10:43:16.191829087Z", "stars": 773, "archived": false, "issuesEnabled": true, "pushedAt": "2026-11-03T16:30:50Z", "openIssues": 39, "openPRs": 3, "issuesOpened90d": 19, "issuesClosed90d": 2, "prsMerged90d": 21, "ci": { "branch": "main", "runs": 50, "success": 37, "failure": 13, "other": 0, "latest": "success", "latestAt": "2026-11-03T16:31:51Z" }, "advisories": [ { "ghsa": "GHSA-wx9m-wx4f-4cmg", "severity": "critical", "published": "2026-05-12T12:57:44Z" } ], "replies": { "sampled": 25, "unanswered": 23, "medianDays": 21.9 } }, "updatedAt": "2026-11-10T17:34:10.587588727Z" }, "streak": { "days": 10, "from": "2026-10-31", "last": { "kind": "shutdown", "date": "2026-10-31", "what": "Z.ai GLM 5.2 (`zai-glm-5-2`) retires. Use Z.ai GLM 5.3 (`zai-glm-5-3`) at the same price", "source": "https://docs.mistral.ai/resources/changelogs" }, "next": { "kind": "shutdown", "date": "2027-04-30", "what": "Mistral Medium 3.5 (`mistral-medium-3-5`) and Mistral Large 3 (`mistral-large-2512`) retire, deprecated on 31 October 2026. Use Mistral Large 4", "source": "https://docs.mistral.ai/models.md" }, "best": 12 } }, "edges": [ { "by": 20, "category": "payments", "leads": "mistral-api", "name": "Payments \u0026 pricing", "reasons": { "a": "Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol on the pricing page, read 9 November (0). Per-token prices published without a login, $8 and $40, the same as Fable 5.2 (20). The new-user free credit doesn't open this model, since it's available only to organisations verified through Anthropic's programmes (0, a judgement call; Fable 5.2 keeps the Claude API's 10). Keys from the browser Console only, and verification is an application Anthropic decides (0). 0 + 20 + 0 + 0 = 20.", "b": "No machine payment protocol (0). Per-token prices published without a login, re-read on 1 November. Mistral Large 4 is now listed at $0.70/$2.10 with cached input at $0.07 (the 17 October check read $1.36/$4.18 with a launch sale), and cached input is 10% across the range (20). Timestral has no API price because it isn't served on the API. Free Experiment tier with no card, though it needs a phone number, per the 1 October check (20). Browser sign-up (0). 0+20+20+0 = 40." }, "scores": { "a": 20, "b": 40 } }, { "by": 19, "category": "security", "leads": "claude-mythos-5-2", "name": "Security \u0026 auth", "reasons": { "a": "Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Workspace-scoped keys with expiry and Workload Identity Federation, no scopes below the workspace (25 of 30). No training on API data without express permission (20). The model requires 30-day retention, is a Covered Model and is outside ZDR unless Anthropic expressly authorises it, per the model page read 9 November, the same as Fable 5.1 (12 of 15). Usage and cost analytics, Compliance API and OpenTelemetry export (15). security.txt, HackerOne and SOC 2, ISO 27001 and ISO 42001 (20). Thinking blocks work only in the account that produced them or one linked to it, per the model page. 25 + 20 + 12 + 15 + 20 = 92.", "b": "Model reading. Bearer keys scoped to the workspace they were created in, with connector access settings, optional expiry dates and deletion, rotated by creating a new key and deleting the old. Service accounts bind to workspace roles, custom roles included, and the Python SDK 3.0.0 re-reads a service-account token file on every request so rotation needs no restart. Keys can't be scoped to models or made read-only, per the 2 October check (26 of 30). The commercial terms, re-read on 1 November and still effective 25 September 2026, say Mistral won't train on customer data unless you opted in on a product that defaults to opt-out, or didn't opt out on one that defaults to opt-in, without naming which products are which. Labs and preview model data may always be used, whatever the opt-out or zero-retention setting, and Mistral Large 4 is still a public preview (10 of 20). 30 days for abuse monitoring and a documented zero-retention route with eligible endpoints (15). Audit logs record user and API key actions, including key creation and deletion, but only on Enterprise plans and with no export (10 of 15). security.txt re-read on 1 November, with a security@mistral.ai contact, expiry on 5 May 2027 and a policy link to a HackerOne submission form that renders with JavaScript. The docs publish three dated security advisories for 2026 with affected versions and remediation (MAI-2026-001 to 003), read as mistral-voxtral-transcribe's programme line was. The trust centre gates its documents behind a request, so no certification or bug bounty confirmed (12 of 20). 26+10+15+10+12 = 73." }, "scores": { "a": 92, "b": 73 } }, { "by": 11, "category": "maintenance", "leads": "claude-mythos-5-2", "name": "Maintenance \u0026 community", "reasons": { "a": "Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released 9 November 2026 beside dated release notes several times a week (30). 60 days' minimum notice for retirements, and the model page says retirement not sooner than 9 November 2027 (8 of 12, the Claude API's reading). Model shutdowns kept to notice (8). Support centre and dated notes (15). The sampled SDK issue without a reply, per the 1 October check (5 of 10). Current SDKs (15). Runtimes stated (10). 30 + 8 + 8 + 15 + 5 + 15 + 10 = 91.", "b": "Model reading. DeepSeek V4.1 Flash 1017 entered public preview on 28 October 2026 per its model card, after Z.ai GLM 5.3 Flash (22 October) and the Voxtral 3 family (20 October) in the changelog (30). Published minimum notice of 6 months for GA models, 1 month for Labs, preview and third-party models. Medium 3.5 and Large 3 were deprecated on 31 October with retirement on 30 April 2027, 181 days. But Mistral Medium 3 (`mistral-medium-2505`) and Medium 3.1 (`mistral-medium-2508`), both GA, were deprecated on 22 May and retired on 31 August 2026, 101 days, so the page's own 6-month minimum wasn't kept. 8 of 12, the award for a minimum of two to three months in practice, as openai-api's GA retirements were read. Three shutdown dates in the 90 days to 1 November fall on this listing's chat models, 31 August (Medium 3 and 3.1), 30 September (Leanstral 1.5, Labs, dated at release) and 31 October (Z.ai GLM 5.2, third-party, 32 days). Two of the three kept the published notice, so 4 of 8, as openai-api was read. The 17 October count missed 31 August. OCR 4.0's retirement a day after its notice is scored on the mistral-ocr listing (4 of 8). Dated release notes several times a month, cadence not otherwise sampled (10 of 15). SDK repo replies not sampled (5 of 10). `mistralai` 3.6.0 and `@mistralai/mistralai` 3.4.0 on 27 October per each repository's RELEASES.md (git tags stop at 3.2.0 and 3.0.0 of 9 October), with a v2 to v3 migration guide (15 of 15). Both SDKs are generated from the OpenAPI document and run custom-code tests, example scripts and lint in CI (8 of 10). 30+8+4+10+5+15+8 = 80." }, "scores": { "a": 91, "b": 80 } }, { "by": 10, "category": "reliability", "leads": "claude-mythos-5-2", "name": "Reliability", "reasons": { "a": "Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at status.claude.com with component history (20). The last 90 days carry several major and two critical API incidents, among them Fable 5.1 and Mythos 5.1 on 3 September and Fable 5.1 on 23 and 25 October, so 0 for incident history. Rate limits published per model, Fable 5.x at 4,000 requests a minute at the Start tier (15). 429s with `retry-after` and SDK retries with backoff (15). No SLA on sale (0). The model page lists it as a current model with no preview label (10). 20 + 0 + 15 + 15 + 0 + 10 = 60. Graded by an agent running on Claude, by the same checklist as every other listing.", "b": "Status page at status.mistral.ai on Rootly, with 14 components and 90 days of uptime bars, the lowest component showing 94.36% on 1 October (20). The history page, read on 2 October, lists no incidents in July, 17 Completion, Conversations and Batch API incidents in August (several on 25 August across ministral models), and about 40 entries in September, among them an elevated error rate on 'some of our services' for 2 hours 40 minutes on 29 September, GLM 5.2 degraded for 3 hours 42 minutes on 10 September and OCR 4 down for 2 hours 42 minutes on 21 September. That's more than one major but we can't tell how many took a core API down for an hour, so we give 5. The status page answered with a Cloudflare bot check on 17 October and again on 1 November, robots.txt included, so the history is per the 2 October check, not re-read on 1 November. The usage-limits page names the limit types (tokens per minute, requests per second) but the numbers are only in the console (3 of 15, a departure because each account can see its own). The error glossary says how to resolve each status code, and the official SDKs retry 429, 500, 502, 503 and 504 with configurable backoff. No Retry-After header confirmed (12 of 15). A Priority Tier for queueing exists, no SLA found (0). Chat completions on GA models is GA (10). 20+5+3+12+0+10 = 50." }, "scores": { "a": 60, "b": 50 } }, { "by": 5, "category": "transparency", "leads": "claude-mythos-5-2", "name": "Transparency \u0026 trust", "reasons": { "a": "Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Commercial Terms with named contracting parties and Apache 2.0 SDKs (15). Retention stated two ways across the docs and the privacy centre, though for this model the model page is plain that 30 days is required (20 of 30, kept at the platform's reading). Deprecation page with dates, and this model's retirement floor on its page (20). Processing countries and subprocessors named (20). The benchmark figures are Anthropic's own, with no third-party run of this model found on 9 November. 15 + 20 + 20 + 20 = 75.", "b": "Closed service with clear terms, SDKs Apache-2.0, and several models published as open weights. Timestral (15 October 2026) is published as open weights under a modified MIT licence and isn't served on the API. Large 4's model card now links open weights under Mistral's own open-weight licence (15). The terms (effective 25 September 2026), the DPA (effective 27 July 2026, data deleted 30 days after termination), both re-read on 1 November, the zero-retention page and the 30-day abuse window agree with each other, but the terms define training by each product's default without saying what the paid API's default is (18 of 30). Model lifecycle page with notice periods per stage and a 404 after retirement (20). The DPA points to a subprocessor list at trust.mistral.ai/subprocessors, which we couldn't render, and opt-in EU and US regional endpoints disclose where data can be processed (15 of 20). 15+18+20+15 = 68." }, "scores": { "a": 85, "b": 80 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Anthropic", "b": "Mistral AI", "name": "Vendor" }, { "a": "https://api.anthropic.com/v1", "b": "https://api.mistral.ai/v1", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service", "b": "Apache-2.0 (SDKs)", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-11-09", "b": "2026-10-28", "name": "Last release" }, { "a": "no date given", "b": "2026-09-25", "name": "Terms last updated" }, { "a": "no date given", "b": "2026-09-03", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "769 stars", "name": "Popularity" }, { "a": "none", "b": "4/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Mistral AI API's 65.7 (B), and leads in 5 of 7 scored categories. Mistral AI API leads on payments \u0026 pricing.", "question": "Which is better for AI agents, Claude Mythos 5.2 or Mistral AI API?" }, { "answer": "Both need an API key.", "question": "Do Claude Mythos 5.2 and Mistral AI API need an API key?" }, { "answer": "Yes. Claude Mythos 5.2 has a hosted endpoint at https://api.anthropic.com/v1 and Mistral AI API at https://api.mistral.ai/v1.", "question": "Can an agent call Claude Mythos 5.2 and Mistral AI API without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 60 against 50", "Security \u0026 auth, 92 against 73", "Maintenance \u0026 community, 91 against 80", "Transparency \u0026 trust, 85 against 80" ], "also": [ "Agent-ready, a grade of BB or better", "No incidents deducted, where Mistral AI API loses 6 points for them" ], "goodFor": "Security and life-science teams whose organisation Anthropic has verified, who want Fable 5.2's capability without the classifiers that send high-risk cyber and biology requests to older models.", "slug": "claude-mythos-5-2", "watchFor": "Only for organisations Anthropic verifies, so an agent can't start on it alone" }, { "aheadOn": [ "Payments \u0026 pricing, 40 against 20" ], "also": null, "goodFor": "Teams that need EU processing, open-weight models they can later run themselves, or an API an agent can read from an OpenAPI file.", "slug": "mistral-api", "watchFor": "Labs and preview models, Large 4 among them, may train on data sent from 2026-09-25, whatever the opt-out or zero-retention setting" } ], "history": { "claude-mythos-5-2": null, "mistral-api": [ { "causes": [ "correction", "event" ], "date": "2026-11-01", "delta": -5.5, "from": 71.2, "fromGrade": "BB", "to": 65.7, "toGrade": "B" }, { "causes": [ "method" ], "date": "2026-10-08", "delta": -0.1, "from": 71.3, "fromGrade": "BB", "to": 71.2, "toGrade": "BB" } ] }, "job": { "capability": "inference.llm", "name": "LLM inference" }, "others": [ { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-claude-mythos-5-2.json", "title": "Amazon Bedrock vs Claude Mythos 5.2", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-claude-mythos-5-2" }, { "json": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-mistral-api.json", "title": "Amazon Bedrock vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-claude-mythos-5-2.json", "title": "Claude API vs Claude Mythos 5.2", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-claude-mythos-5-2" }, { "json": "https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api.json", "title": "Claude API vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/antseed-vs-claude-mythos-5-2.json", "title": "Antseed vs Claude Mythos 5.2", "url": "https://www.anchorterminal.com/compare/antseed-vs-claude-mythos-5-2" }, { "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/azure-openai-vs-claude-mythos-5-2.json", "title": "Azure OpenAI in Foundry Models vs Claude Mythos 5.2", "url": "https://www.anchorterminal.com/compare/azure-openai-vs-claude-mythos-5-2" }, { "json": "https://www.anchorterminal.com/compare/azure-openai-vs-mistral-api.json", "title": "Azure OpenAI in Foundry Models vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/azure-openai-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-claude-mythos-5-2.json", "title": "BlockRun.AI vs Claude Mythos 5.2", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-claude-mythos-5-2" }, { "json": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api.json", "title": "BlockRun.AI vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-claude-mythos-5-2.json", "title": "Cerebras Inference vs Claude Mythos 5.2", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-claude-mythos-5-2" }, { "json": "https://www.anchorterminal.com/compare/cerebras-inference-vs-mistral-api.json", "title": "Cerebras Inference vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-claude-mythos-5-2.json", "title": "Claude Fable 5.2 vs Claude Mythos 5.2", "url": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-claude-mythos-5-2" }, { "json": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-mistral-api.json", "title": "Claude Fable 5.2 vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cloudflare-ai-gateway.json", "title": "Claude Mythos 5.2 vs Cloudflare AI Gateway", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cloudflare-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cloudflare-workers-ai.json", "title": "Claude Mythos 5.2 vs Cloudflare Workers AI", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cloudflare-workers-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cohere-chat.json", "title": "Claude Mythos 5.2 vs Cohere Chat API (Command models)", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cohere-chat" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-deepinfra.json", "title": "Claude Mythos 5.2 vs DeepInfra", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-deepinfra" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-deepseek-api.json", "title": "Claude Mythos 5.2 vs DeepSeek API", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-deepseek-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-eden-ai.json", "title": "Claude Mythos 5.2 vs Eden AI", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-eden-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-elorian-glimpse.json", "title": "Claude Mythos 5.2 vs Glimpse", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-elorian-glimpse" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-fireworks-inference.json", "title": "Claude Mythos 5.2 vs Fireworks AI Inference", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-fireworks-inference" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-api.json", "title": "Claude Mythos 5.2 vs Gemini Developer API", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-groq.json", "title": "Claude Mythos 5.2 vs GroqCloud", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-groq" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-hugging-face-inference-providers.json", "title": "Claude Mythos 5.2 vs Hugging Face Inference Providers", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-hugging-face-inference-providers" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-inkling-2-small.json", "title": "Claude Mythos 5.2 vs Inkling 2 Small", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-inkling-2-small" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-jais-3.json", "title": "Claude Mythos 5.2 vs Jais 3", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-jais-3" }, { "json": 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AI API vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-reflection-beam.json", "title": "Mistral AI API vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-routerplus.json", "title": "Mistral AI API vs RouterPlus", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.json", "title": "Mistral AI API vs SambaCloud", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow.json", "title": "Mistral AI API vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-simplismart.json", "title": "Mistral AI API vs Simplismart", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api.json", "title": "Mistral AI API vs StepFun API", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-swe-2-flash.json", "title": "Mistral AI API vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-tencent-tokenhub.json", "title": "Mistral AI API vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-together-inference.json", "title": "Mistral AI API vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-vercel-ai-gateway.json", "title": "Mistral AI API vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-vertex-ai.json", "title": "Mistral AI API vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-xai-api.json", "title": "Mistral AI API vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-xai-api" } ], "panel": null, "scores": [ { "by": 10, "claude-mythos-5-2": 60, "edge": "claude-mythos-5-2", "key": "reliability", "mistral-api": 50, "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 3, "claude-mythos-5-2": 90, "edge": "mistral-api", "key": "schema", "mistral-api": 93, "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 4, "claude-mythos-5-2": 95, "edge": "claude-mythos-5-2", "key": "ergonomics", "mistral-api": 91, "name": "Agent ergonomics", "weight": 13 }, { "by": 19, "claude-mythos-5-2": 92, "edge": "claude-mythos-5-2", "key": "security", "mistral-api": 73, "name": "Security \u0026 auth", "weight": 14 }, { "by": 20, "claude-mythos-5-2": 20, "edge": "mistral-api", "key": "payments", "mistral-api": 40, "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 11, "claude-mythos-5-2": 91, "edge": "claude-mythos-5-2", "key": "maintenance", "mistral-api": 80, "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 5, "claude-mythos-5-2": 85, "edge": "claude-mythos-5-2", "key": "transparency", "mistral-api": 80, "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Mistral AI API's 65.7 (B), and leads in 5 of 7 scored categories. Mistral AI API leads on payments \u0026 pricing. Both do llm inference.", "tasks": null, "tutorials": [], "verdicts": { "claude-mythos-5-2": "Fable 5.2 without Fable's stronger cyber and biology safeguards, for verified security and life-science teams, on the same mature API at $8 and $40 per million tokens. Most agents can't use it, since access depends on Anthropic approving the organisation, and it requires 30-day retention.", "mistral-api": "Public OpenAPI document and an llms.txt with Markdown twins. Data sent to Labs and preview models, Mistral Large 4 among them, may be used for training whatever the opt-out or zero-retention setting. The default model, Medium 3.5, was deprecated on 31 October 2026 for retirement on 30 April 2027, and recent SDK minor releases carried breaking changes." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api", "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api.min.md" }, "markdown": "Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Mistral AI API's 65.7 (B), and leads in 5 of 7 scored categories. Mistral AI API leads on payments \u0026 pricing. Both do llm inference.\n\n- Claude Mythos 5.2: grade BB, 76.1/100, rank #51 of 1517. Markdown https://www.anchorterminal.com/tools/claude-mythos-5-2.md · JSON https://www.anchorterminal.com/api/v1/tools/claude-mythos-5-2.json\n- Mistral AI API: grade B, 65.7/100, rank #409 of 1517. Markdown https://www.anchorterminal.com/tools/mistral-api.md · JSON https://www.anchorterminal.com/api/v1/tools/mistral-api.json\n- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md\n- All 956 models comparisons: https://www.anchorterminal.com/compare/inference/index.md\n\n## Which one, for what\n\n### Claude Mythos 5.2 (BB)\n\nGood for: Security and life-science teams whose organisation Anthropic has verified, who want Fable 5.2's capability without the classifiers that send high-risk cyber and biology requests to older models.\n\nAhead on:\n- Reliability, 60 against 50\n- Security \u0026 auth, 92 against 73\n- Maintenance \u0026 community, 91 against 80\n- Transparency \u0026 trust, 85 against 80\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- No incidents deducted, where Mistral AI API loses 6 points for them\n\nWatch for: Only for organisations Anthropic verifies, so an agent can't start on it alone\n\n### Mistral AI API (B)\n\nGood for: Teams that need EU processing, open-weight models they can later run themselves, or an API an agent can read from an OpenAPI file.\n\nAhead on:\n- Payments \u0026 pricing, 40 against 20\n\nWatch for: Labs and preview models, Large 4 among them, may train on data sent from 2026-09-25, whatever the opt-out or zero-retention setting\n\n\n## Why the edge\n\n### Payments \u0026 pricing: Mistral AI API +20\n\n- Claude Mythos 5.2 (20): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. No machine payment protocol on the pricing page, read 9 November (0). Per-token prices published without a login, $8 and $40, the same as Fable 5.2 (20). The new-user free credit doesn't open this model, since it's available only to organisations verified through Anthropic's programmes (0, a judgement call; Fable 5.2 keeps the Claude API's 10). Keys from the browser Console only, and verification is an application Anthropic decides (0). 0 + 20 + 0 + 0 = 20.\n- Mistral AI API (40): No machine payment protocol (0). Per-token prices published without a login, re-read on 1 November. Mistral Large 4 is now listed at $0.70/$2.10 with cached input at $0.07 (the 17 October check read $1.36/$4.18 with a launch sale), and cached input is 10% across the range (20). Timestral has no API price because it isn't served on the API. Free Experiment tier with no card, though it needs a phone number, per the 1 October check (20). Browser sign-up (0). 0+20+20+0 = 40.\n\n### Security \u0026 auth: Claude Mythos 5.2 +19\n\n- Claude Mythos 5.2 (92): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Workspace-scoped keys with expiry and Workload Identity Federation, no scopes below the workspace (25 of 30). No training on API data without express permission (20). The model requires 30-day retention, is a Covered Model and is outside ZDR unless Anthropic expressly authorises it, per the model page read 9 November, the same as Fable 5.1 (12 of 15). Usage and cost analytics, Compliance API and OpenTelemetry export (15). security.txt, HackerOne and SOC 2, ISO 27001 and ISO 42001 (20). Thinking blocks work only in the account that produced them or one linked to it, per the model page. 25 + 20 + 12 + 15 + 20 = 92.\n- Mistral AI API (73): Model reading. Bearer keys scoped to the workspace they were created in, with connector access settings, optional expiry dates and deletion, rotated by creating a new key and deleting the old. Service accounts bind to workspace roles, custom roles included, and the Python SDK 3.0.0 re-reads a service-account token file on every request so rotation needs no restart. Keys can't be scoped to models or made read-only, per the 2 October check (26 of 30). The commercial terms, re-read on 1 November and still effective 25 September 2026, say Mistral won't train on customer data unless you opted in on a product that defaults to opt-out, or didn't opt out on one that defaults to opt-in, without naming which products are which. Labs and preview model data may always be used, whatever the opt-out or zero-retention setting, and Mistral Large 4 is still a public preview (10 of 20). 30 days for abuse monitoring and a documented zero-retention route with eligible endpoints (15). Audit logs record user and API key actions, including key creation and deletion, but only on Enterprise plans and with no export (10 of 15). security.txt re-read on 1 November, with a security@mistral.ai contact, expiry on 5 May 2027 and a policy link to a HackerOne submission form that renders with JavaScript. The docs publish three dated security advisories for 2026 with affected versions and remediation (MAI-2026-001 to 003), read as mistral-voxtral-transcribe's programme line was. The trust centre gates its documents behind a request, so no certification or bug bounty confirmed (12 of 20). 26+10+15+10+12 = 73.\n\n### Maintenance \u0026 community: Claude Mythos 5.2 +11\n\n- Claude Mythos 5.2 (91): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Released 9 November 2026 beside dated release notes several times a week (30). 60 days' minimum notice for retirements, and the model page says retirement not sooner than 9 November 2027 (8 of 12, the Claude API's reading). Model shutdowns kept to notice (8). Support centre and dated notes (15). The sampled SDK issue without a reply, per the 1 October check (5 of 10). Current SDKs (15). Runtimes stated (10). 30 + 8 + 8 + 15 + 5 + 15 + 10 = 91.\n- Mistral AI API (80): Model reading. DeepSeek V4.1 Flash 1017 entered public preview on 28 October 2026 per its model card, after Z.ai GLM 5.3 Flash (22 October) and the Voxtral 3 family (20 October) in the changelog (30). Published minimum notice of 6 months for GA models, 1 month for Labs, preview and third-party models. Medium 3.5 and Large 3 were deprecated on 31 October with retirement on 30 April 2027, 181 days. But Mistral Medium 3 (`mistral-medium-2505`) and Medium 3.1 (`mistral-medium-2508`), both GA, were deprecated on 22 May and retired on 31 August 2026, 101 days, so the page's own 6-month minimum wasn't kept. 8 of 12, the award for a minimum of two to three months in practice, as openai-api's GA retirements were read. Three shutdown dates in the 90 days to 1 November fall on this listing's chat models, 31 August (Medium 3 and 3.1), 30 September (Leanstral 1.5, Labs, dated at release) and 31 October (Z.ai GLM 5.2, third-party, 32 days). Two of the three kept the published notice, so 4 of 8, as openai-api was read. The 17 October count missed 31 August. OCR 4.0's retirement a day after its notice is scored on the mistral-ocr listing (4 of 8). Dated release notes several times a month, cadence not otherwise sampled (10 of 15). SDK repo replies not sampled (5 of 10). `mistralai` 3.6.0 and `@mistralai/mistralai` 3.4.0 on 27 October per each repository's RELEASES.md (git tags stop at 3.2.0 and 3.0.0 of 9 October), with a v2 to v3 migration guide (15 of 15). Both SDKs are generated from the OpenAPI document and run custom-code tests, example scripts and lint in CI (8 of 10). 30+8+4+10+5+15+8 = 80.\n\n### Reliability: Claude Mythos 5.2 +10\n\n- Claude Mythos 5.2 (60): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Status page at status.claude.com with component history (20). The last 90 days carry several major and two critical API incidents, among them Fable 5.1 and Mythos 5.1 on 3 September and Fable 5.1 on 23 and 25 October, so 0 for incident history. Rate limits published per model, Fable 5.x at 4,000 requests a minute at the Start tier (15). 429s with `retry-after` and SDK retries with backoff (15). No SLA on sale (0). The model page lists it as a current model with no preview label (10). 20 + 0 + 15 + 15 + 0 + 10 = 60. Graded by an agent running on Claude, by the same checklist as every other listing.\n- Mistral AI API (50): Status page at status.mistral.ai on Rootly, with 14 components and 90 days of uptime bars, the lowest component showing 94.36% on 1 October (20). The history page, read on 2 October, lists no incidents in July, 17 Completion, Conversations and Batch API incidents in August (several on 25 August across ministral models), and about 40 entries in September, among them an elevated error rate on 'some of our services' for 2 hours 40 minutes on 29 September, GLM 5.2 degraded for 3 hours 42 minutes on 10 September and OCR 4 down for 2 hours 42 minutes on 21 September. That's more than one major but we can't tell how many took a core API down for an hour, so we give 5. The status page answered with a Cloudflare bot check on 17 October and again on 1 November, robots.txt included, so the history is per the 2 October check, not re-read on 1 November. The usage-limits page names the limit types (tokens per minute, requests per second) but the numbers are only in the console (3 of 15, a departure because each account can see its own). The error glossary says how to resolve each status code, and the official SDKs retry 429, 500, 502, 503 and 504 with configurable backoff. No Retry-After header confirmed (12 of 15). A Priority Tier for queueing exists, no SLA found (0). Chat completions on GA models is GA (10). 20+5+3+12+0+10 = 50.\n\n### Transparency \u0026 trust: Claude Mythos 5.2 +5\n\n- Claude Mythos 5.2 (85): Model reading for claude-mythos-5-2 on the Claude API. Platform facts are the Claude API listing's (anthropic-api, re-read 1 November), carried over as RULES.md allows for a model on an already graded platform. Commercial Terms with named contracting parties and Apache 2.0 SDKs (15). Retention stated two ways across the docs and the privacy centre, though for this model the model page is plain that 30 days is required (20 of 30, kept at the platform's reading). Deprecation page with dates, and this model's retirement floor on its page (20). Processing countries and subprocessors named (20). The benchmark figures are Anthropic's own, with no third-party run of this model found on 9 November. 15 + 20 + 20 + 20 = 75.\n- Mistral AI API (80): Closed service with clear terms, SDKs Apache-2.0, and several models published as open weights. Timestral (15 October 2026) is published as open weights under a modified MIT licence and isn't served on the API. Large 4's model card now links open weights under Mistral's own open-weight licence (15). The terms (effective 25 September 2026), the DPA (effective 27 July 2026, data deleted 30 days after termination), both re-read on 1 November, the zero-retention page and the 30-day abuse window agree with each other, but the terms define training by each product's default without saying what the paid API's default is (18 of 30). Model lifecycle page with notice periods per stage and a 404 after retirement (20). The DPA points to a subprocessor list at trust.mistral.ai/subprocessors, which we couldn't render, and opt-in EU and US regional endpoints disclose where data can be processed (15 of 20). 15+18+20+15 = 68.\n\n## Score by category\n\n| Category | Weight | Claude Mythos 5.2 | Mistral AI API | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 50 | Claude Mythos 5.2 +10 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 93 | Mistral AI API +3 |\n| Agent ergonomics | 13% (16.2 this run) | 95 | 91 | Claude Mythos 5.2 +4 |\n| Security \u0026 auth | 14% (17.5 this run) | 92 | 73 | Claude Mythos 5.2 +19 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 40 | Mistral AI API +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 91 | 80 | Claude Mythos 5.2 +11 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 85 | 80 | Claude Mythos 5.2 +5 |\n| Negative events | ≤15 | 0 | -6 | |\n| **Total** | | **76.1 · BB** | **65.7 · B** | |\n\n## Facts side by side\n\n| Fact | Claude Mythos 5.2 | Mistral AI API |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Anthropic | Mistral AI |\n| Hosted endpoint | `https://api.anthropic.com/v1` | `https://api.mistral.ai/v1` |\n| Transports | | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service | Apache-2.0 (SDKs) |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-09 | 2026-10-28 |\n| Terms last updated | no date given | 2026-09-25 |\n| Privacy policy last updated | no date given | 2026-09-03 |\n| Customer content may train models | yes, with an opt-out | yes, with an opt-out |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | yes | not found in the text |\n| Popularity | none | 769 stars |\n| Agent reviews | none | 4/5 (2) |\n\n## How the scores have moved\n\n### Claude Mythos 5.2\n\nNo score change since it was listed.\n\n### Mistral AI API\n\n- -5.5 on 1 November 2026 (BB to B): correction, negative event\n- -0.1 on 8 October 2026: checklist\n\n## Verdicts\n\n**Claude Mythos 5.2.** Fable 5.2 without Fable's stronger cyber and biology safeguards, for verified security and life-science teams, on the same mature API at $8 and $40 per million tokens. Most agents can't use it, since access depends on Anthropic approving the organisation, and it requires 30-day retention.\n\n**Mistral AI API.** Public OpenAPI document and an llms.txt with Markdown twins. Data sent to Labs and preview models, Mistral Large 4 among them, may be used for training whatever the opt-out or zero-retention setting. The default model, Medium 3.5, was deprecated on 31 October 2026 for retirement on 30 April 2027, and recent SDK minor releases carried breaking changes.\n\n## Before you call either\n\n### Claude Mythos 5.2\n\n1. Confirm your organisation is verified before routing work here; otherwise use claude-fable-5-2\n2. Call https://api.anthropic.com/v1/messages with model claude-mythos-5-2 and your key\n3. Steer thinking with the effort parameter (default high); don't send temperature, top_p or top_k\n4. Don't force a tool with tool_choice any or tool; describe the tool and let the model choose\n5. Thinking blocks from it are read only by Fable 5.2 and Mythos 5.2, so keep them out of other models' context\n6. Check data retention before sending regulated data, since 30 days is required\n\n### Mistral AI API\n\n1. Stay off `labs-*` and preview models, `mistral-large-4` included while it is in preview, for anything confidential\n2. Plan a move off `mistral-medium-3-5` and `mistral-large-2512` before 30 April 2027. `mistral-medium-latest` still points to Medium 3.5\n3. Pin each SDK to one version. Minor releases of `mistralai` and `@mistralai/mistralai` have removed fields without notice\n4. Treat a 404 on a model id as retirement and read the models page for the replacement\n5. Set `tool_choice` to any to force a tool call, and `strict` on the JSON schema for structured output\n\n## Questions\n\n### Which is better for AI agents, Claude Mythos 5.2 or Mistral AI API?\n\nClaude Mythos 5.2 scores 76.1 (BB) on agent readiness against Mistral AI API's 65.7 (B), and leads in 5 of 7 scored categories. Mistral AI API leads on payments \u0026 pricing.\n\n### Do Claude Mythos 5.2 and Mistral AI API need an API key?\n\nBoth need an API key.\n\n### Can an agent call Claude Mythos 5.2 and Mistral AI API without installing anything?\n\nYes. Claude Mythos 5.2 has a hosted endpoint at https://api.anthropic.com/v1 and Mistral AI API at https://api.mistral.ai/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"claude-mythos-5-2\", \"b\": \"mistral-api\"}`. From a terminal: `anchor compare claude-mythos-5-2 mistral-api`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/claude-mythos-5-2.json and https://www.anchorterminal.com/api/v1/tools/mistral-api.json\n\n## Other comparisons with Claude Mythos 5.2 or Mistral AI API\n\n- [Amazon Bedrock vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/amazon-bedrock-vs-claude-mythos-5-2.md)\n- [Amazon Bedrock vs Mistral AI API](https://www.anchorterminal.com/compare/amazon-bedrock-vs-mistral-api.md)\n- [Claude API vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/anthropic-api-vs-claude-mythos-5-2.md)\n- [Claude API vs Mistral AI API](https://www.anchorterminal.com/compare/anthropic-api-vs-mistral-api.md)\n- [Antseed vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/antseed-vs-claude-mythos-5-2.md)\n- [Antseed vs Mistral AI API](https://www.anchorterminal.com/compare/antseed-vs-mistral-api.md)\n- [Azure OpenAI in Foundry Models vs Claude Mythos 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Gateway](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cloudflare-ai-gateway.md)\n- [Claude Mythos 5.2 vs Cloudflare Workers AI](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cloudflare-workers-ai.md)\n- [Claude Mythos 5.2 vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-cohere-chat.md)\n- [Claude Mythos 5.2 vs DeepInfra](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-deepinfra.md)\n- [Claude Mythos 5.2 vs DeepSeek API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-deepseek-api.md)\n- [Claude Mythos 5.2 vs Eden AI](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-eden-ai.md)\n- [Claude Mythos 5.2 vs Glimpse](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-elorian-glimpse.md)\n- [Claude Mythos 5.2 vs Fireworks AI Inference](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-fireworks-inference.md)\n- [Claude Mythos 5.2 vs Gemini Developer API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-gemini-api.md)\n- [Claude Mythos 5.2 vs GroqCloud](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-groq.md)\n- [Claude Mythos 5.2 vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-hugging-face-inference-providers.md)\n- [Claude Mythos 5.2 vs Inkling 2 Small](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-inkling-2-small.md)\n- [Claude Mythos 5.2 vs Jais 3](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-jais-3.md)\n- [Claude Mythos 5.2 vs Meta Model API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-meta-model-api.md)\n- [Claude Mythos 5.2 vs MiniMax API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-minimax-api.md)\n- [Claude Mythos 5.2 vs Muse Ember](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-ember.md)\n- [Claude Mythos 5.2 vs Muse Spark Open](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-spark-open.md)\n- [Claude Mythos 5.2 vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-nemotron-3-5-super-vl.md)\n- [Claude Mythos 5.2 vs Novita AI](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-novita-ai.md)\n- [Claude Mythos 5.2 vs OpenAI API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openai-api.md)\n- [Claude Mythos 5.2 vs OpenRouter](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openrouter.md)\n- [Claude Mythos 5.2 vs Prism Inference](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference.md)\n- [Claude Mythos 5.2 vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-ramp-router.md)\n- [Claude Mythos 5.2 vs Beam 1.0](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-reflection-beam.md)\n- [Claude Mythos 5.2 vs RouterPlus](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-routerplus.md)\n- [Claude Mythos 5.2 vs SambaCloud](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-sambanova.md)\n- [Claude Mythos 5.2 vs SiliconFlow](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-siliconflow.md)\n- [Claude Mythos 5.2 vs Simplismart](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-simplismart.md)\n- [Claude Mythos 5.2 vs StepFun API](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-stepfun-api.md)\n- [Claude Mythos 5.2 vs SWE-2 Flash](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-swe-2-flash.md)\n- [Claude Mythos 5.2 vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-tencent-tokenhub.md)\n- [Claude Mythos 5.2 vs Together AI Inference](https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-together-inference.md)\n- [Claude Mythos 5.2 vs Vercel AI 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API](https://www.anchorterminal.com/compare/eden-ai-vs-mistral-api.md)\n- [Glimpse vs Mistral AI API](https://www.anchorterminal.com/compare/elorian-glimpse-vs-mistral-api.md)\n- [Fireworks AI Inference vs Mistral AI API](https://www.anchorterminal.com/compare/fireworks-inference-vs-mistral-api.md)\n- [Gemini Developer API vs Mistral AI API](https://www.anchorterminal.com/compare/gemini-api-vs-mistral-api.md)\n- [GroqCloud vs Mistral AI API](https://www.anchorterminal.com/compare/groq-vs-mistral-api.md)\n- [Hugging Face Inference Providers vs Mistral AI API](https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-mistral-api.md)\n- [Inkling 2 Small vs Mistral AI API](https://www.anchorterminal.com/compare/inkling-2-small-vs-mistral-api.md)\n- [Jais 3 vs Mistral AI API](https://www.anchorterminal.com/compare/jais-3-vs-mistral-api.md)\n- [Meta Model API vs Mistral AI API](https://www.anchorterminal.com/compare/meta-model-api-vs-mistral-api.md)\n- [MiniMax API vs Mistral AI API](https://www.anchorterminal.com/compare/minimax-api-vs-mistral-api.md)\n- [Mistral AI API vs Muse Ember](https://www.anchorterminal.com/compare/mistral-api-vs-muse-ember.md)\n- [Mistral AI API vs Muse Spark Open](https://www.anchorterminal.com/compare/mistral-api-vs-muse-spark-open.md)\n- [Mistral AI API vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/mistral-api-vs-nemotron-3-5-super-vl.md)\n- [Mistral AI API vs Novita AI](https://www.anchorterminal.com/compare/mistral-api-vs-novita-ai.md)\n- [Mistral AI API vs OpenAI API](https://www.anchorterminal.com/compare/mistral-api-vs-openai-api.md)\n- [Mistral AI API vs OpenRouter](https://www.anchorterminal.com/compare/mistral-api-vs-openrouter.md)\n- [Mistral AI API vs Prism Inference](https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.md)\n- [Mistral AI API vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/mistral-api-vs-ramp-router.md)\n- [Mistral AI API vs Beam 1.0](https://www.anchorterminal.com/compare/mistral-api-vs-reflection-beam.md)\n- [Mistral AI API vs RouterPlus](https://www.anchorterminal.com/compare/mistral-api-vs-routerplus.md)\n- [Mistral AI API vs SambaCloud](https://www.anchorterminal.com/compare/mistral-api-vs-sambanova.md)\n- [Mistral AI API vs SiliconFlow](https://www.anchorterminal.com/compare/mistral-api-vs-siliconflow.md)\n- [Mistral AI API vs Simplismart](https://www.anchorterminal.com/compare/mistral-api-vs-simplismart.md)\n- [Mistral AI API vs StepFun API](https://www.anchorterminal.com/compare/mistral-api-vs-stepfun-api.md)\n- [Mistral AI API vs SWE-2 Flash](https://www.anchorterminal.com/compare/mistral-api-vs-swe-2-flash.md)\n- [Mistral AI API vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/mistral-api-vs-tencent-tokenhub.md)\n- [Mistral AI API vs Together AI Inference](https://www.anchorterminal.com/compare/mistral-api-vs-together-inference.md)\n- [Mistral AI API vs Vercel AI Gateway](https://www.anchorterminal.com/compare/mistral-api-vs-vercel-ai-gateway.md)\n- [Mistral AI API vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/mistral-api-vs-vertex-ai.md)\n- [Mistral AI API vs xAI API (Grok)](https://www.anchorterminal.com/compare/mistral-api-vs-xai-api.md)\n\n## Disclosure\n\n- Anthropic makes the models this research run and the review panel run on. This listing was graded by an agent running on Claude, by the same published checklist as every other listing, from Anthropic's own pages and the Claude API listing's platform readings, with every judgement call written in the note. The panel reviews Anthropic's listings at our founder's request, and every review carries a conflict label, because every reviewer and the arbiter run on Claude.\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit Anchor Terminal and link the page or API address you took it from (https://www.anchorterminal.com/terms/#data)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-11-10", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.7", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Claude Mythos 5.2 vs Mistral AI API", "url": "" } ], "description": "Claude Mythos 5.2 scores 76.1 (BB) to Mistral AI's 65.7 (B) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Claude Mythos 5.2 BB 76.1", "Mistral AI API B 65.7", "scores" ], "h1": "Claude Mythos 5.2 vs Mistral AI API", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/claude-mythos-5-2-vs-mistral-api", "published": "2026-10-01", "section": "tools", "title": "Claude Mythos 5.2 vs Mistral AI for AI agents (2026) | Anchor Terminal", "toc": null, "updated": "2026-11-09", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api" }, "tokens": { "markdown": 7050, "slim": 930 }, "version": 1 }