{ "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 Prism Inference's 59.6 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability.", "b": { "slug": "prism-inference", "name": "Prism Inference", "vendor": "Prism Technologies Inc", "vendorUrl": "https://prisminference.com", "kind": "model", "category": "inference", "summary": "Prism is a hosted inference API from Prism Technologies Inc for open-weight models, aimed at coding agents. It accepts OpenAI Chat Completions, OpenAI Responses and Anthropic Messages requests at api.prisminference.com. It launched on 24 September 2026.", "url": "https://www.anchorterminal.com/tools/prism-inference", "markdownUrl": "https://www.anchorterminal.com/tools/prism-inference.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/prism-inference.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/prism-inference.json", "dns": "prism-inference.grade.anchorterminal.com", "repo": "https://github.com/prismhq/hermes-prism-provider", "license": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file", "transports": [ "http" ], "remoteUrl": "https://api.prisminference.com/v1", "packages": [], "auth": "api-key", "authNotes": "`Authorization: Bearer` with a key the workspace owner creates in the Prism dashboard. The inference endpoints also accept the key in `x-api-key`. A missing, invalid, expired or revoked key returns 401. No key scopes were found in the reviewed documentation. prisminference.com/signup redirects to the login page, and the docs send new users to a sales call for access. The agent sign-up endpoints (`POST /api/agent-signups` and `/verify`) are closed and return `403 signup_disabled` per the docs. `GET /v1/models` needs no key.", "pricing": "usage", "pricingNotes": "Prepaid per-token pricing with no minimum. DeepSeek-V4.1-Flash is $0.09 in, $1.20 out and $0.03 cache read per million tokens, and Gemma 4 31B is $0.30, $0.40 and $0.15 (https://prisminference.com/pricing, read 2026-11-04). No free tier or trial credit was found. A person funds the workspace in a browser, and new access goes through the workspace owner or a sales call. Elastic endpoints, dedicated deployments and batch are sold through sales with no published price.", "priceSummary": "from $0.09 / 1M in", "where": "hosted", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in llms.txt, the docs index, the OpenAPI file or the pricing page, read 2026-10-08. The docs describe prepaid credit funded by a person in the browser.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": null, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.prisminference.com", "rateLimitsUrl": "https://docs.prisminference.com/rate-limits", "llmsTxt": "https://prisminference.com/llms.txt", "openapi": "https://docs.prisminference.com/openapi.yaml", "capabilities": [ "inference.fast", "inference.open-weights", "inference.llm" ], "tags": [ "hosted", "model", "open-weights", "fast", "usage-priced", "prepaid", "openapi", "llms-txt", "openai-compatible", "anthropic-compatible", "zero-retention", "status-page", "new" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 59.6, "grade": "C", "agentReady": false, "rank": 694, "ranked": true, "rankOf": 1517, "categoryRank": 25, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 68, "maintenance": 49, "payments": 20, "reliability": 65, "schema": 82, "security": 68, "transparency": 63 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-04" }, "negative": -2, "negativeNotes": [ "2026-10-08, re-read 2026-11-04. The home page shows a '99.99% Uptime SLA' tile. The terms of 9 September 2026 say the services have no guaranteed uptime or service credit unless a separate written agreement says otherwise, and no SLA document was found. The pricing page's 'no rate limits' line of 8 October is gone. A misleading claim, with the smallest deduction because the terms state the real position (-2) (https://prisminference.com/, https://prisminference.com/terms)." ], "verdict": "Three wire formats, a public OpenAPI 3.1 file, per-token prices without a login and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one by request. Agent self-signup has closed and new access goes through a sales call, and no rate-limit numbers, SLA document or deprecation policy was found.", "bestFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.", "strengths": [ "One key works across OpenAI Chat Completions, OpenAI Responses and Anthropic Messages, with a public OpenAPI 3.1 file, llms.txt and Markdown docs", "Zero data retention is the default on every tier, and the privacy policy, terms and docs all say inputs and outputs are never used for training", "Every error carries a stable `code`, a `retryable` flag, a `fix` hint and a `docs_url`, and 429 carries `Retry-After` in seconds", "The docs say `GET /v1/models` answers without a key and returns the public model catalogue", "DeepSeek-V4.1-Flash is listed with a 1M-token context and 384,000 output tokens at $0.09 in and $1.20 out per million" ], "weaknesses": [ "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt lists it as available", "No rate-limit numbers are published. The docs say per-key limits exist and return 429", "The home page shows a '99.99% Uptime SLA' tile, while the terms say there is no guaranteed uptime without a separate written agreement", "No free tier or self-serve sign-up. The sign-up page redirects to login, agent sign-up returns 403, and the docs point new users to sales", "The service launched on 24 September 2026. The changelog has one entry, and no deprecation policy, sub-processor list or certification was found" ], "agentNotes": [ "Call `GET https://api.prisminference.com/v1/models` at start-up, with no key per the docs, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access", "Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients", "Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity", "Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output", "Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported", "Ask the workspace owner for `PRISM_API_KEY`. The agent sign-up endpoints now return `403 signup_disabled`" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 59.6 } ], "editorialScores": { "ergonomics": 68, "maintenance": 49, "payments": 20, "reliability": 65, "schema": 82, "security": 68, "transparency": 43 }, "provenanceScore": 82, "checked": { "categories": { "ergonomics": "2026-11-04", "maintenance": "2026-11-04", "payments": "2026-11-04", "reliability": "2026-11-04", "schema": "2026-11-04", "security": "2026-11-04", "transparency": "2026-11-04" }, "last": "2026-11-04", "lastMoved": "2026-11-04", "oldest": "2026-11-04", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "pip install openai # or: npm install openai, base URL https://api.prisminference.com/v1. Anthropic SDKs use https://api.prisminference.com with no /v1", "http": "curl \"https://api.prisminference.com/v1/chat/completions\" \\\n -H \"Authorization: Bearer $PRISM_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"model\":\"deepseek-v4.1-flash\",\"messages\":[{\"role\":\"user\",\"content\":\"Return pong.\"}]}'", "claudeCode": "export ANTHROPIC_BASE_URL=https://api.prisminference.com\nexport ANTHROPIC_AUTH_TOKEN=$PRISM_API_KEY\nexport ANTHROPIC_MODEL=deepseek-v4.1-flash\nexport ANTHROPIC_SMALL_FAST_MODEL=gemma-4-31b" }, "letme": { "capability": "https://letme.dev/inference.fast", "tool": "https://letme.dev/prism-inference" }, "area": "models", "provenance": { "legalEntity": "Prism Technologies Inc", "domain": "prisminference.com", "domainRegistered": "2026-09-09", "endpointOnVendorDomain": true, "terms": "https://prisminference.com/terms", "privacy": "https://prisminference.com/privacy", "statusPage": "https://status.prisminference.com", "changelog": "https://docs.prisminference.com/changelog", "securityTxt": "valid", "checked": "2026-10-08", "notes": [ "The terms and the privacy policy, both last updated 9 September 2026, name Prism Technologies Inc. The terms are governed by California law with arbitration in San Francisco.", "RDAP gives a registration date of 2026-09-09 for prisminference.com, with Name.com as registrar.", "security.txt has a Contact line (founders@prisminference.com), an Expires date of 2027-10-06 and a Canonical line. No disclosure policy or bug bounty is named.", "The status page runs on incident.io with one component for each model and no component for the API or the website. Its incidents feed was empty on 8 October 2026.", "The YC directory lists Prism in the Spring 2025 batch, in San Francisco, with a team of 2. The home page links an X account named prism_videos, from the company's earlier video product." ], "score": 82 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/prism-inference.json", "live": { "slug": "prism-inference", "probe": { "target": "https://api.prisminference.com/v1", "method": "get", "lastAt": "2026-11-10T17:30:09.784179474Z", "lastOk": true, "lastStatus": 200, "lastMs": 297, "authRequired": false, "uptime24h": 100, "uptime30d": 99.99, "p50ms24h": 107, "p95ms24h": 203, "samples24h": 243, "samples30d": 7840, "days": [ { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 246 }, { "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": 250, "ok": 250 }, { "date": "2026-10-29", "probes": 249, "ok": 249 }, { "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.prisminference.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-11-10T17:34:46.576001918Z" }, "versions": [ { "registry": "github", "name": "prismhq/hermes-prism-provider", "version": "v1.0.2", "released": "2026-09-16", "seenAt": "2026-11-10T04:11:29.001202152Z" } ], "githubStars": 0, "securityTxt": { "url": "https://prisminference.com/.well-known/security.txt", "state": "valid", "expires": "2027-10-06T00:00:00.000Z", "checkedAt": "2026-11-10T16:08:49.077651021Z" }, "llmsTxt": { "url": "https://prisminference.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-10T15:44:19.516956598Z" }, "domain": { "domain": "prisminference.com", "registered": "2026-09-09", "source": "https://rdap.verisign.com/com/v1/domain/prisminference.com", "checkedAt": "2026-11-08T14:54:54.531257044Z" }, "pages": [ { "url": "https://docs.prisminference.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-11-10T16:18:18.069752105Z", "changedAt": "2026-10-26T03:15:15.804661949Z", "fingerprint": "f0b4b681ff56" }, { "url": "https://prisminference.com/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-11-10T16:28:33.173519778Z", "changedAt": "2026-10-16T22:29:18.379964038Z", "fingerprint": "ec3ab0c7070a" }, { "url": "https://prisminference.com/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-10T16:28:35.455022151Z", "changedAt": "2026-10-14T20:47:07.337685557Z", "fingerprint": "de012b748be4" }, { "url": "https://prisminference.com/terms", "kind": "terms", "status": 200, "checkedAt": "2026-11-10T16:28:37.45936136Z", "changedAt": "2026-10-14T20:47:09.225430886Z", "fingerprint": "ad1d4e80a6ba" } ], "github": { "repo": "prismhq/hermes-prism-provider", "checkedAt": "2026-11-09T10:54:11.995040592Z", "stars": 0, "archived": false, "issuesEnabled": true, "pushedAt": "2026-09-16T00:55:53Z", "openIssues": 0, "openPRs": 0, "issuesOpened90d": 0, "issuesClosed90d": 0, "prsMerged90d": 0 }, "updatedAt": "2026-11-10T17:34:46.576001918Z" }, "streak": { "days": 33, "from": "2026-10-08", "sinceWatching": true, "best": 33 } }, "edges": [ { "by": 42, "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. Gemma 4 31B was added to the catalogue on 6 October 2026, 29 days before this check, and nothing newer is dated in the changelog or on the blog, whose newest post is of 9 September (30). No notice period is stated. The terms promise advance notice of a material breaking change 'when reasonably practicable', and no model has been retired (3 of 12). No model shutdowns since launch (8 of 8). A dated changelog with one entry, a Discord server and a support booking link, none of which we tested for replies (8 of 15). No SDK repository to sample. The Hermes provider plugin on GitHub still has three commits, all on 15 September 2026 (0 of 10). No official SDKs (0 of 15) and no packages to assess (0 of 10). 30+3+8+8+0 = 49." }, "scores": { "a": 91, "b": 49 } }, { "by": 27, "category": "ergonomics", "leads": "claude-mythos-5-2", "name": "Agent ergonomics", "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. Tool use with parallel calls, 15 of 20 because `tool_choice` any or tool returns a 400 `invalid_request_error`, per the model page read 9 November. Structured outputs (15). Prompt caching with reads at $0.20, 0.025x input, per the pricing page read 9 November (15). 1M context by default and at most, 128K output (15). Batch at half price (10). Official SDKs in seven languages (10). Documented errors, `retry-after` and retries (15). 15 + 15 + 15 + 15 + 10 + 10 + 15 = 95.", "b": "Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). OpenAI function tools, Anthropic tool-use blocks, `tool_choice` and `parallel_tool_calls` on Responses are documented (18 of 20). JSON mode and strict JSON Schema on Chat Completions, and `text.format` on Responses (15). A cache-read price is published for both models, $0.03 against $0.09 input on DeepSeek-V4.1-Flash on 4 November, but no page explains how caching is triggered, and the Claude Code guide says prompt-cache hints are accepted and ignored (5 of 15). 1M-token context and 384,000 output tokens on DeepSeek-V4.1-Flash, 32,768 on Gemma 4 31B (15). Batch appears on the pricing page as a sales-led tier with no API in the OpenAPI file (0). No SDK of its own. OpenAI and Anthropic clients are used with a base URL change (0). The errors page (8 October) and the rate-limits page (4 November) document `code`, `retryable`, `fix` and `docs_url` on every error (15). 18+15+5+15+0+0+15 = 68." }, "scores": { "a": 95, "b": 68 } }, { "by": 24, "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, also accepted in `x-api-key`, issued by the workspace owner from the dashboard, with 401 for revoked or expired keys. No scopes or per-key limits were found in the reviewed documentation (20 of 30). The privacy policy, the terms, the docs and the security policy all say inputs and outputs are never used to train, fine-tune or evaluate models (20). Zero data retention is the default on every tier with no setting to turn on (15). The docs mention usage in the dashboard, which we did not see, and no audit log was found (5 of 15). security.txt is valid until 6 October 2027 with a contact address, and a security policy dated 13 October 2026 asks for vulnerability reports by email to the founders' address. No bug bounty, SOC 2 or ISO 27001 was found. robotomail, with a valid security.txt and reports by email and nothing more, holds 7 (8 of 20). 20+20+15+5+8 = 68." }, "scores": { "a": 92, "b": 68 } }, { "by": 22, "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 that name Prism Technologies Inc (15). The privacy policy, the terms and the zero-retention page agree on what is and isn't kept. Service metadata is kept 'only for as long as reasonably needed' with no period, and no DPA is published (20 of 30). No deprecation policy or dated notices, only the terms' advance notice 'when reasonably practicable' (3 of 20). The privacy policy says Prism is based in the United States and names vendors by category only, with no sub-processor list or regions (5 of 20). 15+20+3+5 = 43." }, "scores": { "a": 85, "b": 63 } }, { "by": 8, "category": "schema", "leads": "claude-mythos-5-2", "name": "Schema \u0026 documentation", "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. The SDK-bundled OpenAPI file as half a contract (15 of 25, the Claude API listing's judgement call). llms.txt with Markdown twins (10). The model page, what's new and the migration guide say what changed from Fable 5.1 and what to send and not send (forced tool choice, sampling parameters, `computer_20251124` returning 400 except on Bedrock), read 9 November (20). Structured outputs and strict tools GA (15). Documented error types with `request_id` (15). `anthropic-version` and dated release notes (15). 15 + 10 + 20 + 15 + 15 + 15 = 90.", "b": "A public OpenAPI 3.1 file covering ten paths, including chat completions, responses, messages and models (25). llms.txt on both the site and the docs, a fuller llms-full.txt, and every docs page served as Markdown (10). Reference pages state what each endpoint is for and what isn't supported, such as stored responses and hosted tools, and the models page has a 'use when' column (15 of 20). `model` and `messages` are required, with ranges on `temperature` and `top_p` and an enum for reasoning effort, but `tool_choice` is untyped and `response_format` and the request body allow any extra properties (10 of 15). Examples in curl, TypeScript and Python, and an errors page with 13 status codes and five named codes with fixes (14 of 15). Paths are versioned under /v1 and the changelog is dated, with a single entry on 6 October 2026, still the only one on 4 November (8 of 15). 25+10+15+10+14+8 = 82." }, "scores": { "a": 90, "b": 82 } }, { "by": 5, "category": "reliability", "leads": "prism-inference", "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": "Hosted reading. Status page at status.prisminference.com on incident.io with a component for each of the two models, per the 8 October check (20). The 8 October incident reading came only from the page's `/api/v2` incidents feed, a data endpoint this run doesn't use, so it is struck. On 4 November the status host's robots.txt answered a plain 404 (no rules), and the status page itself shows both models at 100 per cent uptime from 5 August to 3 November with \"No incidents\", data available only from 6 October 2026. The page has never posted an incident, and its record covers 29 days of the 90, so the short-record value applies, as for excaliclaw and serpkite (15). The rate-limits page says per-key limits exist and publishes no numbers, and a 4 MiB request cap was documented on 8 October (5). 429 carries `Retry-After` in seconds, errors carry a `retryable` flag, and the docs give bounded exponential backoff with jitter and rules for retrying interrupted streams (15). No published SLA. The terms of 9 September 2026 say the services have no guaranteed uptime or service credit without a separate written agreement, although the home page still shows a '99.99% Uptime SLA' tile (0). The serverless API isn't labelled beta or preview, though the OpenAPI file is at version 0.1.0 (10). 20+15+5+15+0+10 = 65." }, "scores": { "a": 60, "b": 65 } } ], "facts": [ { "a": "Model API", "b": "Model API", "name": "Kind" }, { "a": "Anthropic", "b": "Prism Technologies Inc", "name": "Vendor" }, { "a": "https://api.anthropic.com/v1", "b": "https://api.prisminference.com/v1", "name": "Hosted endpoint" }, { "a": "", "b": "HTTP", "name": "Transports" }, { "a": "API key", "b": "API key", "name": "Auth" }, { "a": "Pay per use", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service", "b": "Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file", "name": "Licence" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-11-09", "b": "2026-10-06", "name": "Last release" }, { "a": "no date given", "b": "2026-09-09", "name": "Terms last updated" }, { "a": "no date given", "b": "2026-09-09", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "not found in the text", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict automated access" }, { "a": "yes", "b": "not found in the text", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "yes", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "none", "b": "3.5/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Prism Inference's 59.6 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability.", "question": "Which is better for AI agents, Claude Mythos 5.2 or Prism Inference?" }, { "answer": "Both need an API key.", "question": "Do Claude Mythos 5.2 and Prism Inference need an API key?" }, { "answer": "Yes. Claude Mythos 5.2 has a hosted endpoint at https://api.anthropic.com/v1 and Prism Inference at https://api.prisminference.com/v1.", "question": "Can an agent call Claude Mythos 5.2 and Prism Inference without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Schema \u0026 documentation, 90 against 82", "Agent ergonomics, 95 against 68", "Security \u0026 auth, 92 against 68", "Maintenance \u0026 community, 91 against 49", "Transparency \u0026 trust, 85 against 63" ], "also": [ "Agent-ready, a grade of BB or better" ], "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": [ "Reliability, 65 against 60" ], "also": null, "goodFor": "Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.", "slug": "prism-inference", "watchFor": "Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt lists it as available" } ], "history": { "claude-mythos-5-2": null, "prism-inference": [ { "causes": [ "security", "product" ], "date": "2026-11-04", "delta": -0.7, "from": 60.3, "fromGrade": "C", "to": 59.6, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.2, "from": 60.1, "fromGrade": "C", "to": 60.3, "toGrade": "C" } ] }, "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-prism-inference.json", "title": "Amazon Bedrock vs Prism Inference", "url": "https://www.anchorterminal.com/compare/amazon-bedrock-vs-prism-inference" }, { "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-prism-inference.json", "title": "Claude API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference" }, { "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-prism-inference.json", "title": "Antseed vs Prism Inference", "url": "https://www.anchorterminal.com/compare/antseed-vs-prism-inference" }, { "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-prism-inference.json", "title": "Azure OpenAI in Foundry Models vs Prism Inference", "url": "https://www.anchorterminal.com/compare/azure-openai-vs-prism-inference" }, { "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-prism-inference.json", "title": "BlockRun.AI vs Prism Inference", "url": "https://www.anchorterminal.com/compare/blockrun-ai-vs-prism-inference" }, { "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-prism-inference.json", "title": "Cerebras Inference vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cerebras-inference-vs-prism-inference" }, { "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-prism-inference.json", "title": "Claude Fable 5.2 vs Prism Inference", "url": "https://www.anchorterminal.com/compare/claude-fable-5-2-vs-prism-inference" }, { "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": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-meta-model-api.json", "title": "Claude Mythos 5.2 vs Meta Model API", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-meta-model-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-minimax-api.json", "title": "Claude Mythos 5.2 vs MiniMax API", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-minimax-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api.json", "title": "Claude Mythos 5.2 vs Mistral AI API", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-mistral-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-ember.json", "title": "Claude Mythos 5.2 vs Muse Ember", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-ember" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-spark-open.json", "title": "Claude Mythos 5.2 vs Muse Spark Open", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-muse-spark-open" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-nemotron-3-5-super-vl.json", "title": "Claude Mythos 5.2 vs Nemotron 3.5 Super VL", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-nemotron-3-5-super-vl" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-novita-ai.json", "title": "Claude Mythos 5.2 vs Novita AI", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-novita-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openai-api.json", "title": "Claude Mythos 5.2 vs OpenAI API", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openai-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openrouter.json", "title": "Claude Mythos 5.2 vs OpenRouter", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-openrouter" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-ramp-router.json", "title": "Claude Mythos 5.2 vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-reflection-beam.json", "title": "Claude Mythos 5.2 vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-routerplus.json", "title": "Claude Mythos 5.2 vs RouterPlus", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-sambanova.json", "title": "Claude Mythos 5.2 vs SambaCloud", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-siliconflow.json", "title": "Claude Mythos 5.2 vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-simplismart.json", "title": "Claude Mythos 5.2 vs Simplismart", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-stepfun-api.json", "title": "Claude Mythos 5.2 vs StepFun API", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-swe-2-flash.json", "title": "Claude Mythos 5.2 vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-tencent-tokenhub.json", "title": "Claude Mythos 5.2 vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-together-inference.json", "title": "Claude Mythos 5.2 vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-vercel-ai-gateway.json", "title": "Claude Mythos 5.2 vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-vercel-ai-gateway" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-vertex-ai.json", "title": "Claude Mythos 5.2 vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-xai-api.json", "title": "Claude Mythos 5.2 vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-xai-api" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference.json", "title": "Cloudflare AI Gateway vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-ai-gateway-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference.json", "title": "Cloudflare Workers AI vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference.json", "title": "Cohere Chat API (Command models) vs Prism Inference", "url": "https://www.anchorterminal.com/compare/cohere-chat-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference.json", "title": "DeepInfra vs Prism Inference", "url": "https://www.anchorterminal.com/compare/deepinfra-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference.json", "title": "DeepSeek API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/deepseek-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/eden-ai-vs-prism-inference.json", "title": "Eden AI vs Prism Inference", "url": "https://www.anchorterminal.com/compare/eden-ai-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.json", "title": "Glimpse vs Prism Inference", "url": "https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/fireworks-inference-vs-prism-inference.json", "title": "Fireworks AI Inference vs Prism Inference", "url": "https://www.anchorterminal.com/compare/fireworks-inference-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.json", "title": "Gemini Developer API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/groq-vs-prism-inference.json", "title": "GroqCloud vs Prism Inference", "url": "https://www.anchorterminal.com/compare/groq-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/inkling-2-small-vs-prism-inference.json", "title": "Inkling 2 Small vs Prism Inference", "url": "https://www.anchorterminal.com/compare/inkling-2-small-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/jais-3-vs-prism-inference.json", "title": "Jais 3 vs Prism Inference", "url": "https://www.anchorterminal.com/compare/jais-3-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference.json", "title": "Meta Model API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/minimax-api-vs-prism-inference.json", "title": "MiniMax API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/minimax-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.json", "title": "Mistral AI API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/muse-ember-vs-prism-inference.json", "title": "Muse Ember vs Prism Inference", "url": "https://www.anchorterminal.com/compare/muse-ember-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference.json", "title": "Muse Spark Open vs Prism Inference", "url": "https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference.json", "title": "Novita AI vs Prism Inference", "url": "https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.json", "title": "OpenAI API vs Prism Inference", "url": "https://www.anchorterminal.com/compare/openai-api-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.json", "title": "OpenRouter vs Prism Inference", "url": "https://www.anchorterminal.com/compare/openrouter-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-ramp-router.json", "title": "Prism Inference vs Router.com (Ramp Router)", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-ramp-router" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam.json", "title": "Prism Inference vs Beam 1.0", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-routerplus.json", "title": "Prism Inference vs RouterPlus", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-routerplus" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.json", "title": "Prism Inference vs SiliconFlow", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-simplismart.json", "title": "Prism Inference vs Simplismart", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-simplismart" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api.json", "title": "Prism Inference vs StepFun API", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-swe-2-flash.json", "title": "Prism Inference vs SWE-2 Flash", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-swe-2-flash" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.json", "title": "Prism Inference vs Together AI Inference", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-together-inference" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-vertex-ai.json", "title": "Prism Inference vs Vertex AI (Gemini Enterprise Agent Platform)", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-vertex-ai" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-xai-api.json", "title": "Prism Inference vs xAI API (Grok)", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-xai-api" }, { "json": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-prism-inference.json", "title": "Hugging Face Inference Providers vs Prism Inference", "url": "https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference.json", "title": "Nemotron 3.5 Super VL vs Prism Inference", "url": "https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-tencent-tokenhub.json", "title": "Prism Inference vs Tencent Cloud TokenHub", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-tencent-tokenhub" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.json", "title": "Prism Inference vs SambaCloud", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-sambanova" }, { "json": "https://www.anchorterminal.com/compare/prism-inference-vs-vercel-ai-gateway.json", "title": "Prism Inference vs Vercel AI Gateway", "url": "https://www.anchorterminal.com/compare/prism-inference-vs-vercel-ai-gateway" } ], "panel": null, "scores": [ { "by": 5, "claude-mythos-5-2": 60, "edge": "prism-inference", "key": "reliability", "name": "Reliability", "prism-inference": 65, "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 8, "claude-mythos-5-2": 90, "edge": "claude-mythos-5-2", "key": "schema", "name": "Schema \u0026 documentation", "prism-inference": 82, "weight": 13 }, { "by": 27, "claude-mythos-5-2": 95, "edge": "claude-mythos-5-2", "key": "ergonomics", "name": "Agent ergonomics", "prism-inference": 68, "weight": 13 }, { "by": 24, "claude-mythos-5-2": 92, "edge": "claude-mythos-5-2", "key": "security", "name": "Security \u0026 auth", "prism-inference": 68, "weight": 14 }, { "by": 0, "claude-mythos-5-2": 20, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "prism-inference": 20, "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 42, "claude-mythos-5-2": 91, "edge": "claude-mythos-5-2", "key": "maintenance", "name": "Maintenance \u0026 community", "prism-inference": 49, "weight": 7 }, { "by": 22, "claude-mythos-5-2": 85, "edge": "claude-mythos-5-2", "key": "transparency", "name": "Transparency \u0026 trust", "prism-inference": 63, "weight": 7 } ], "summary": "Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Prism Inference's 59.6 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability. 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.", "prism-inference": "Three wire formats, a public OpenAPI 3.1 file, per-token prices without a login and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one by request. Agent self-signup has closed and new access goes through a sales call, and no rate-limit numbers, SLA document or deprecation policy was found." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference", "json": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference.min.md" }, "markdown": "Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Prism Inference's 59.6 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability. 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- Prism Inference: grade C, 59.6/100, rank #694 of 1517. Markdown https://www.anchorterminal.com/tools/prism-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/prism-inference.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- Schema \u0026 documentation, 90 against 82\n- Agent ergonomics, 95 against 68\n- Security \u0026 auth, 92 against 68\n- Maintenance \u0026 community, 91 against 49\n- Transparency \u0026 trust, 85 against 63\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n\nWatch for: Only for organisations Anthropic verifies, so an agent can't start on it alone\n\n### Prism Inference (C)\n\nGood for: Coding agents that want DeepSeek-V4.1-Flash at a low input price, with no retention, through whichever of the three wire formats the harness already speaks.\n\nAhead on:\n- Reliability, 65 against 60\n\nWatch for: Two models. The docs mark Gemma 4 31B as request access per organisation, while llms.txt lists it as available\n\n\n## Why the edge\n\n### Maintenance \u0026 community: Claude Mythos 5.2 +42\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- Prism Inference (49): Model reading. Gemma 4 31B was added to the catalogue on 6 October 2026, 29 days before this check, and nothing newer is dated in the changelog or on the blog, whose newest post is of 9 September (30). No notice period is stated. The terms promise advance notice of a material breaking change 'when reasonably practicable', and no model has been retired (3 of 12). No model shutdowns since launch (8 of 8). A dated changelog with one entry, a Discord server and a support booking link, none of which we tested for replies (8 of 15). No SDK repository to sample. The Hermes provider plugin on GitHub still has three commits, all on 15 September 2026 (0 of 10). No official SDKs (0 of 15) and no packages to assess (0 of 10). 30+3+8+8+0 = 49.\n\n### Agent ergonomics: Claude Mythos 5.2 +27\n\n- Claude Mythos 5.2 (95): 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. Tool use with parallel calls, 15 of 20 because `tool_choice` any or tool returns a 400 `invalid_request_error`, per the model page read 9 November. Structured outputs (15). Prompt caching with reads at $0.20, 0.025x input, per the pricing page read 9 November (15). 1M context by default and at most, 128K output (15). Batch at half price (10). Official SDKs in seven languages (10). Documented errors, `retry-after` and retries (15). 15 + 15 + 15 + 15 + 10 + 10 + 15 = 95.\n- Prism Inference (68): Model reading of the checklist (tool use, structured output, caching, context, batch, SDKs, errors). OpenAI function tools, Anthropic tool-use blocks, `tool_choice` and `parallel_tool_calls` on Responses are documented (18 of 20). JSON mode and strict JSON Schema on Chat Completions, and `text.format` on Responses (15). A cache-read price is published for both models, $0.03 against $0.09 input on DeepSeek-V4.1-Flash on 4 November, but no page explains how caching is triggered, and the Claude Code guide says prompt-cache hints are accepted and ignored (5 of 15). 1M-token context and 384,000 output tokens on DeepSeek-V4.1-Flash, 32,768 on Gemma 4 31B (15). Batch appears on the pricing page as a sales-led tier with no API in the OpenAPI file (0). No SDK of its own. OpenAI and Anthropic clients are used with a base URL change (0). The errors page (8 October) and the rate-limits page (4 November) document `code`, `retryable`, `fix` and `docs_url` on every error (15). 18+15+5+15+0+0+15 = 68.\n\n### Security \u0026 auth: Claude Mythos 5.2 +24\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- Prism Inference (68): Model reading. Bearer keys, also accepted in `x-api-key`, issued by the workspace owner from the dashboard, with 401 for revoked or expired keys. No scopes or per-key limits were found in the reviewed documentation (20 of 30). The privacy policy, the terms, the docs and the security policy all say inputs and outputs are never used to train, fine-tune or evaluate models (20). Zero data retention is the default on every tier with no setting to turn on (15). The docs mention usage in the dashboard, which we did not see, and no audit log was found (5 of 15). security.txt is valid until 6 October 2027 with a contact address, and a security policy dated 13 October 2026 asks for vulnerability reports by email to the founders' address. No bug bounty, SOC 2 or ISO 27001 was found. robotomail, with a valid security.txt and reports by email and nothing more, holds 7 (8 of 20). 20+20+15+5+8 = 68.\n\n### Transparency \u0026 trust: Claude Mythos 5.2 +22\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- Prism Inference (63): Closed service with clear terms that name Prism Technologies Inc (15). The privacy policy, the terms and the zero-retention page agree on what is and isn't kept. Service metadata is kept 'only for as long as reasonably needed' with no period, and no DPA is published (20 of 30). No deprecation policy or dated notices, only the terms' advance notice 'when reasonably practicable' (3 of 20). The privacy policy says Prism is based in the United States and names vendors by category only, with no sub-processor list or regions (5 of 20). 15+20+3+5 = 43.\n\n### Schema \u0026 documentation: Claude Mythos 5.2 +8\n\n- Claude Mythos 5.2 (90): 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. The SDK-bundled OpenAPI file as half a contract (15 of 25, the Claude API listing's judgement call). llms.txt with Markdown twins (10). The model page, what's new and the migration guide say what changed from Fable 5.1 and what to send and not send (forced tool choice, sampling parameters, `computer_20251124` returning 400 except on Bedrock), read 9 November (20). Structured outputs and strict tools GA (15). Documented error types with `request_id` (15). `anthropic-version` and dated release notes (15). 15 + 10 + 20 + 15 + 15 + 15 = 90.\n- Prism Inference (82): A public OpenAPI 3.1 file covering ten paths, including chat completions, responses, messages and models (25). llms.txt on both the site and the docs, a fuller llms-full.txt, and every docs page served as Markdown (10). Reference pages state what each endpoint is for and what isn't supported, such as stored responses and hosted tools, and the models page has a 'use when' column (15 of 20). `model` and `messages` are required, with ranges on `temperature` and `top_p` and an enum for reasoning effort, but `tool_choice` is untyped and `response_format` and the request body allow any extra properties (10 of 15). Examples in curl, TypeScript and Python, and an errors page with 13 status codes and five named codes with fixes (14 of 15). Paths are versioned under /v1 and the changelog is dated, with a single entry on 6 October 2026, still the only one on 4 November (8 of 15). 25+10+15+10+14+8 = 82.\n\n### Reliability: Prism Inference +5\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- Prism Inference (65): Hosted reading. Status page at status.prisminference.com on incident.io with a component for each of the two models, per the 8 October check (20). The 8 October incident reading came only from the page's `/api/v2` incidents feed, a data endpoint this run doesn't use, so it is struck. On 4 November the status host's robots.txt answered a plain 404 (no rules), and the status page itself shows both models at 100 per cent uptime from 5 August to 3 November with \"No incidents\", data available only from 6 October 2026. The page has never posted an incident, and its record covers 29 days of the 90, so the short-record value applies, as for excaliclaw and serpkite (15). The rate-limits page says per-key limits exist and publishes no numbers, and a 4 MiB request cap was documented on 8 October (5). 429 carries `Retry-After` in seconds, errors carry a `retryable` flag, and the docs give bounded exponential backoff with jitter and rules for retrying interrupted streams (15). No published SLA. The terms of 9 September 2026 say the services have no guaranteed uptime or service credit without a separate written agreement, although the home page still shows a '99.99% Uptime SLA' tile (0). The serverless API isn't labelled beta or preview, though the OpenAPI file is at version 0.1.0 (10). 20+15+5+15+0+10 = 65.\n\n## Score by category\n\n| Category | Weight | Claude Mythos 5.2 | Prism Inference | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 65 | Prism Inference +5 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 90 | 82 | Claude Mythos 5.2 +8 |\n| Agent ergonomics | 13% (16.2 this run) | 95 | 68 | Claude Mythos 5.2 +27 |\n| Security \u0026 auth | 14% (17.5 this run) | 92 | 68 | Claude Mythos 5.2 +24 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 20 | 20 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 91 | 49 | Claude Mythos 5.2 +42 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 85 | 63 | Claude Mythos 5.2 +22 |\n| Negative events | ≤15 | 0 | -2 | |\n| **Total** | | **76.1 · BB** | **59.6 · C** | |\n\n## Facts side by side\n\n| Fact | Claude Mythos 5.2 | Prism Inference |\n| --- | --- | --- |\n| Kind | Model API | Model API |\n| Vendor | Anthropic | Prism Technologies Inc |\n| Hosted endpoint | `https://api.anthropic.com/v1` | `https://api.prisminference.com/v1` |\n| Transports | | HTTP |\n| Auth | API key | API key |\n| Pricing | Pay per use | Pay per use |\n| x402 | no | no |\n| Licence | Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service | Proprietary service under Prism's terms of service. The OpenAPI file declares `LicenseRef-Proprietary`. The Hermes provider plugin repository carries no licence file |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-11-09 | 2026-10-06 |\n| Terms last updated | no date given | 2026-09-09 |\n| Privacy policy last updated | no date given | 2026-09-09 |\n| Customer content may train models | yes, with an opt-out | not found in the text |\n| Terms restrict automated access | not found in the text | yes |\n| Terms restrict benchmarking | yes | not found in the text |\n| Terms or service can change without notice | not found in the text | not found in the text |\n| Arbitration or class-action waiver | yes | yes |\n| Agent reviews | none | 3.5/5 (4) |\n\n## How the scores have moved\n\n### Claude Mythos 5.2\n\nNo score change since it was listed.\n\n### Prism Inference\n\n- -0.7 on 4 November 2026: security, product\n- +0.2 on 27 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**Prism Inference.** Three wire formats, a public OpenAPI 3.1 file, per-token prices without a login and zero data retention by default on every tier. The service launched on 24 September 2026 with two models, one by request. Agent self-signup has closed and new access goes through a sales call, and no rate-limit numbers, SLA document or deprecation policy was found.\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### Prism Inference\n\n1. Call `GET https://api.prisminference.com/v1/models` at start-up, with no key per the docs, and use only ids it returns. Expect 403 on `gemma-4-31b` without organisation access\n2. Use base URL `https://api.prisminference.com/v1` for OpenAI clients and `https://api.prisminference.com` with no `/v1` for Anthropic clients\n3. Read `error.retryable` before retrying, and wait for `Retry-After` on 429, which covers both key limits and model capacity\n4. Send `reasoning_effort: \"none\"` or `low` when latency matters. Reasoning is on by default and its tokens are billed as output\n5. Keep conversation state yourself and send `store: false` on Responses. `previous_response_id`, stored responses and hosted tools aren't supported\n6. Ask the workspace owner for `PRISM_API_KEY`. The agent sign-up endpoints now return `403 signup_disabled`\n\n## Questions\n\n### Which is better for AI agents, Claude Mythos 5.2 or Prism Inference?\n\nClaude Mythos 5.2 scores 76.1 (BB) on agent readiness against Prism Inference's 59.6 (C), and leads in 5 of 7 scored categories. Prism Inference leads on reliability.\n\n### Do Claude Mythos 5.2 and Prism Inference need an API key?\n\nBoth need an API key.\n\n### Can an agent call Claude Mythos 5.2 and Prism Inference without installing anything?\n\nYes. Claude Mythos 5.2 has a hosted endpoint at https://api.anthropic.com/v1 and Prism Inference at https://api.prisminference.com/v1.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"claude-mythos-5-2\", \"b\": \"prism-inference\"}`. From a terminal: `anchor compare claude-mythos-5-2 prism-inference`\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/prism-inference.json\n\n## Other comparisons with Claude Mythos 5.2 or Prism Inference\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 Prism Inference](https://www.anchorterminal.com/compare/amazon-bedrock-vs-prism-inference.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 Prism Inference](https://www.anchorterminal.com/compare/anthropic-api-vs-prism-inference.md)\n- [Antseed vs Claude Mythos 5.2](https://www.anchorterminal.com/compare/antseed-vs-claude-mythos-5-2.md)\n- [Antseed vs Prism Inference](https://www.anchorterminal.com/compare/antseed-vs-prism-inference.md)\n- [Azure OpenAI in Foundry 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Inference](https://www.anchorterminal.com/compare/eden-ai-vs-prism-inference.md)\n- [Glimpse vs Prism Inference](https://www.anchorterminal.com/compare/elorian-glimpse-vs-prism-inference.md)\n- [Fireworks AI Inference vs Prism Inference](https://www.anchorterminal.com/compare/fireworks-inference-vs-prism-inference.md)\n- [Gemini Developer API vs Prism Inference](https://www.anchorterminal.com/compare/gemini-api-vs-prism-inference.md)\n- [GroqCloud vs Prism Inference](https://www.anchorterminal.com/compare/groq-vs-prism-inference.md)\n- [Inkling 2 Small vs Prism Inference](https://www.anchorterminal.com/compare/inkling-2-small-vs-prism-inference.md)\n- [Jais 3 vs Prism Inference](https://www.anchorterminal.com/compare/jais-3-vs-prism-inference.md)\n- [Meta Model API vs Prism Inference](https://www.anchorterminal.com/compare/meta-model-api-vs-prism-inference.md)\n- [MiniMax API vs Prism Inference](https://www.anchorterminal.com/compare/minimax-api-vs-prism-inference.md)\n- [Mistral AI API vs Prism Inference](https://www.anchorterminal.com/compare/mistral-api-vs-prism-inference.md)\n- [Muse Ember vs Prism Inference](https://www.anchorterminal.com/compare/muse-ember-vs-prism-inference.md)\n- [Muse Spark Open vs Prism Inference](https://www.anchorterminal.com/compare/muse-spark-open-vs-prism-inference.md)\n- [Novita AI vs Prism Inference](https://www.anchorterminal.com/compare/novita-ai-vs-prism-inference.md)\n- [OpenAI API vs Prism Inference](https://www.anchorterminal.com/compare/openai-api-vs-prism-inference.md)\n- [OpenRouter vs Prism Inference](https://www.anchorterminal.com/compare/openrouter-vs-prism-inference.md)\n- [Prism Inference vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/prism-inference-vs-ramp-router.md)\n- [Prism Inference vs Beam 1.0](https://www.anchorterminal.com/compare/prism-inference-vs-reflection-beam.md)\n- [Prism Inference vs RouterPlus](https://www.anchorterminal.com/compare/prism-inference-vs-routerplus.md)\n- [Prism Inference vs SiliconFlow](https://www.anchorterminal.com/compare/prism-inference-vs-siliconflow.md)\n- [Prism Inference vs Simplismart](https://www.anchorterminal.com/compare/prism-inference-vs-simplismart.md)\n- [Prism Inference vs StepFun API](https://www.anchorterminal.com/compare/prism-inference-vs-stepfun-api.md)\n- [Prism Inference vs SWE-2 Flash](https://www.anchorterminal.com/compare/prism-inference-vs-swe-2-flash.md)\n- [Prism Inference vs Together AI Inference](https://www.anchorterminal.com/compare/prism-inference-vs-together-inference.md)\n- [Prism Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/prism-inference-vs-vertex-ai.md)\n- [Prism Inference vs xAI API (Grok)](https://www.anchorterminal.com/compare/prism-inference-vs-xai-api.md)\n- [Hugging Face Inference Providers vs Prism Inference](https://www.anchorterminal.com/compare/hugging-face-inference-providers-vs-prism-inference.md)\n- [Nemotron 3.5 Super VL vs Prism Inference](https://www.anchorterminal.com/compare/nemotron-3-5-super-vl-vs-prism-inference.md)\n- [Prism Inference vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/prism-inference-vs-tencent-tokenhub.md)\n- [Prism Inference vs SambaCloud](https://www.anchorterminal.com/compare/prism-inference-vs-sambanova.md)\n- [Prism Inference vs Vercel AI Gateway](https://www.anchorterminal.com/compare/prism-inference-vs-vercel-ai-gateway.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 Prism Inference", "url": "" } ], "description": "Claude Mythos 5.2 scores 76.1 (BB) to Prism Inference's 59.6 (C) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Claude Mythos 5.2 BB 76.1", "Prism Inference C 59.6", "scores" ], "h1": "Claude Mythos 5.2 vs Prism Inference", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/claude-mythos-5-2-vs-prism-inference", "published": "2026-10-01", "section": "tools", "title": "Claude Mythos 5.2 vs Prism Inference for AI agents (2026)", "toc": null, "updated": "2026-11-09", "url": "https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-prism-inference" }, "tokens": { "markdown": 7250, "slim": 1030 }, "version": 1 }