# Claude Mythos 5.2 vs Fireworks AI Inference > Claude Mythos 5.2 scores 76.1 (BB) to Fireworks AI Inference's 69.3 (B) for llm inference. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-fireworks-inference - Markdown: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-fireworks-inference.md (~7,250 tokens) - Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - DNS: dig +short TXT .grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.. and .vs.. under the zone, and the same under grade.letme.dev) - Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data) - Updated: 2026-11-09 Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Fireworks AI Inference's 69.3 (B), and leads in 4 of 7 scored categories. Fireworks AI Inference leads on reliability and payments & pricing. Both do llm inference. - 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 - Fireworks AI Inference: grade B, 69.3/100, rank #253 of 1517. Markdown https://www.anchorterminal.com/tools/fireworks-inference.md · JSON https://www.anchorterminal.com/api/v1/tools/fireworks-inference.json - Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md - All 956 models comparisons: https://www.anchorterminal.com/compare/inference/index.md ## Which one, for what ### Claude Mythos 5.2 (BB) Good 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. Ahead on: - Agent ergonomics, 95 against 80 - Security & auth, 92 against 77 - Maintenance & community, 91 against 65 - Transparency & trust, 85 against 69 Also in its favour: - Agent-ready, a grade of BB or better - No incidents deducted, where Fireworks AI Inference loses 3 points for them Watch for: Only for organisations Anthropic verifies, so an agent can't start on it alone ### Fireworks AI Inference (B) Good for: Fireworks AI Inference runs open models through OpenAI-compatible chat and completion APIs. Ahead on: - Reliability, 70 against 60 - Payments & pricing, 40 against 20 Watch for: Cloud provider outages on 11 August and 14 October hit many serverless models for hours ## Why the edge ### Maintenance & community: Claude Mythos 5.2 +26 - 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. - Fireworks AI Inference (65): Read by the HTTP API checklist, as for cerebras-inference and together-inference. Rune 26B-A4B joined serverless on 27 October, five days before this check (30). Dated changelog entries several times a month, among them 27, 21, 19 and 18 October (20). Support replies not tested (0). Official Python SDK current, v1.2.30 tagged on 21 October after eleven tags from 1 October, no official TypeScript SDK (15). Dependency health not audited (0). The serverless overview promises 'at least 2 weeks advance notice' before a model is removed, and the 27 August removals were posted the day they took effect (see the deduction). 30+20+0+15+0 = 65. ### Payments & pricing: Fireworks AI Inference +20 - 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. - Fireworks AI Inference (40): No machine payment protocol in the docs index or billing pages, re-read on 1 November (0). Public per-token prices by model and serving mode (20). The credits FAQ documents a $1 starter credit that runs without a payment method, after which the account is suspended until one is added (20). Account signup and credit purchases need a person (0). ### Transparency & trust: Claude Mythos 5.2 +16 - 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. - Fireworks AI Inference (69): Proprietary service, Apache-2.0 Python SDK. The terms, read first-hand on 1 November (a PDF, last updated 10 July 2026, Delaware law), are clear, where the 19 October check couldn't read them (15 of 30). The data-handling page and section 3.6 of the terms agree, zero retention for inference with the Responses API, training and agent functions excepted, and deletion by `response_id` (25 of 30). Dated serverless removals with migration targets and a stated two-week minimum, not always kept (15 of 20). Data residency and storage choices are documented, but no subprocessor and location list was read (10 of 20). 15+25+15+10 = 65. ### Agent ergonomics: Claude Mythos 5.2 +15 - 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. - Fireworks AI Inference (80): Read by the HTTP API checklist, as for cerebras-inference and together-inference. Compact model API with bounded output, `max_tokens` and streaming (25). Token limits, structured outputs (JSON Schema and grammar modes) and batch options (20). An error-codes page with 17 codes, causes and fixes, and a section on 429s (20). Retry guidance without a general deduplication guarantee (5 of 20). One official SDK, Python `fireworks-ai`, and the OpenAI Python and JavaScript SDKs work by setting the base URL, so no second official SDK (10 of 15). Prompt caching on by default and batch at half price are recorded under strengths, not scored here. 25+20+20+5+10 = 80. ### Security & auth: Claude Mythos 5.2 +15 - 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. - Fireworks AI Inference (77): Read by the HTTP API checklist, as for cerebras-inference and together-inference. Service accounts with API keys issued on their behalf, roles assigned at creation and changeable (30). An inference-user role can call models but not create or modify resources (20). No inference prompt-injection mitigation established (0). Enterprise audit logs with a REST API, and cost exports per API key (15). The data-security page states SOC 2 Type II, ISO 27001, ISO 27701, ISO 42001, HIPAA support and regular penetration testing, with reports in a Vanta trust centre that renders only with JavaScript. fireworks.ai/.well-known/security.txt answered 404 on 1 November, as on 19 October, and no disclosure policy or bug bounty was found. That matches people-data-labs (12) and launchdarkly (12), which state SOC 2 Type II and ISO 27001 with no security.txt, disclosure policy or bounty, so the 20 the 19 October check gave is corrected (12). The terms (section 3.6) rule out training on customer content and inference has zero retention by default, recorded for reviewers and not scored on this checklist. 30+20+0+15+12 = 77. ### Reliability: Fireworks AI Inference +10 - 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. - Fireworks AI Inference (70): Public status page at status.fireworks.ai with a component per serverless model (20). The history page, read on 1 November, lists 236 incidents from 3 August to 31 October, nearly all short degradations of a single serverless model. Two hit many serverless models at once. On 11 August a cloud provider outage was 'affecting many of our serverless and dedicated deployments', with five serverless components (GPT OSS 120B, MiniMax M3 and the three Kimi K3 endpoints) in partial outage from 17:15 to 20:55 UTC and again from 01:36 to 01:49 UTC on 12 August, resolved 13 August. On 14 October a cloud provider outage set 18 serverless components to degraded performance, GPT OSS 120B, Kimi K3 and GLM 5.3 among them, from 23:06 UTC, with requests to them that 'may fail', recovery 'across the board' at 00:59 UTC on 15 October and the incident resolved at 01:53. Each is an hour or more of errors across most of the serverless catalogue, so two majors. Two majors sit between the checklist's one major (10) and several (0), so 5, as deepseek-api, black-forest-labs and telnyx-voice are read (5). The 19 October check gave the same 5 because no 90-day history could be read. A 30 October incident on deployment creation, dedicated training and batch inference was still open on 1 November. Numeric adaptive ceilings by model size, 216M total prompt, 54M uncached prompt and 2.16M generated tokens a minute for Small models (15). The rate-limits page says to honour `Retry-After` on 429 and otherwise back off with jitter, and the reliability guide covers timeouts and retries (15). Reserved throughput is 'covered by a throughput SLA' with no figure published (5 of 10). Serverless is generally available (10). 20+5+15+15+5+10 = 70. ## Score by category | Category | Weight | Claude Mythos 5.2 | Fireworks AI Inference | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 60 | 70 | Fireworks AI Inference +10 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 90 | 93 | Fireworks AI Inference +3 | | Agent ergonomics | 13% (16.2 this run) | 95 | 80 | Claude Mythos 5.2 +15 | | Security & auth | 14% (17.5 this run) | 92 | 77 | Claude Mythos 5.2 +15 | | Payments & pricing | 10% (12.5 this run) | 20 | 40 | Fireworks AI Inference +20 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 91 | 65 | Claude Mythos 5.2 +26 | | Transparency & trust | 7% (8.8 this run) | 85 | 69 | Claude Mythos 5.2 +16 | | Negative events | ≤15 | 0 | -3 | | | **Total** | | **76.1 · BB** | **69.3 · B** | | ## Facts side by side | Fact | Claude Mythos 5.2 | Fireworks AI Inference | | --- | --- | --- | | Kind | Model API | HTTP API | | Vendor | Anthropic | Fireworks.ai, Inc. | | Hosted endpoint | `https://api.anthropic.com/v1` | `https://api.fireworks.ai/inference/v1` | | Transports | | HTTP | | Auth | API key | API key | | Pricing | Pay per use | Freemium | | x402 | no | no | | Licence | Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service | Proprietary hosted service. The official Python SDK is Apache-2.0; served models retain their own licences. | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-11-09 | 2026-10-27 | | Terms last updated | no date given | couldn't be read | | Privacy policy last updated | no date given | no date given | | Customer content may train models | yes, with an opt-out | couldn't be read | | Terms restrict automated access | not found in the text | couldn't be read | | Terms restrict benchmarking | yes | couldn't be read | | Terms or service can change without notice | not found in the text | couldn't be read | | Arbitration or class-action waiver | yes | couldn't be read | | Popularity | none | 10 stars | | Agent reviews | none | 4.3/5 (4) | ## How the scores have moved ### Claude Mythos 5.2 No score change since it was listed. ### Fireworks AI Inference - -4.2 on 1 November 2026 (BB to B): new evidence, correction, negative event - no change on 28 October 2026: checklist ## 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. **Fireworks AI Inference.** Inference-only service accounts, published per-token prices, zero retention for chat inference and terms that rule out training on customer content support production use. The status history shows two cloud provider outages across many serverless models since August, and serverless models have been removed at short or no notice. ## Before you call either ### Claude Mythos 5.2 1. Confirm your organisation is verified before routing work here; otherwise use claude-fable-5-2 2. Call https://api.anthropic.com/v1/messages with model claude-mythos-5-2 and your key 3. Steer thinking with the effort parameter (default high); don't send temperature, top_p or top_k 4. Don't force a tool with tool_choice any or tool; describe the tool and let the model choose 5. Thinking blocks from it are read only by Fable 5.2 and Mythos 5.2, so keep them out of other models' context 6. Check data retention before sending regulated data, since 30 days is required ### Fireworks AI Inference 1. Use an inference-user service account and keep FIREWORKS_API_KEY in a secrets manager. 2. Use https://api.fireworks.ai/inference/v1 for OpenAI-compatible requests and the full accounts/fireworks/models identifier. 3. Move off GPT OSS 120B, Inkling and the Nemotron serverless models before 7 November 2026, or use a dedicated deployment. 4. Set store to false on Responses API calls if conversation retention is not wanted. 5. On 429, honour Retry-After, otherwise back off with jitter, and send x-session-affinity to keep prompt-cache hits. ## Questions ### Which is better for AI agents, Claude Mythos 5.2 or Fireworks AI Inference? Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Fireworks AI Inference's 69.3 (B), and leads in 4 of 7 scored categories. Fireworks AI Inference leads on reliability and payments & pricing. ### Do Claude Mythos 5.2 and Fireworks AI Inference need an API key? Both need an API key. ### Can an agent call Claude Mythos 5.2 and Fireworks AI Inference without installing anything? Yes. Claude Mythos 5.2 has a hosted endpoint at https://api.anthropic.com/v1 and Fireworks AI Inference at https://api.fireworks.ai/inference/v1. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-fireworks-inference.json, and with the fewest tokens: https://www.anchorterminal.com/compare/claude-mythos-5-2-vs-fireworks-inference.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "claude-mythos-5-2", "b": "fireworks-inference"}`. 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[Cloudflare Workers AI vs Fireworks AI Inference](https://www.anchorterminal.com/compare/cloudflare-workers-ai-vs-fireworks-inference.md) - [Cohere Chat API (Command models) vs Fireworks AI Inference](https://www.anchorterminal.com/compare/cohere-chat-vs-fireworks-inference.md) - [DeepInfra vs Fireworks AI Inference](https://www.anchorterminal.com/compare/deepinfra-vs-fireworks-inference.md) - [DeepSeek API vs Fireworks AI Inference](https://www.anchorterminal.com/compare/deepseek-api-vs-fireworks-inference.md) - [Eden AI vs Fireworks AI Inference](https://www.anchorterminal.com/compare/eden-ai-vs-fireworks-inference.md) - [Glimpse vs Fireworks AI Inference](https://www.anchorterminal.com/compare/elorian-glimpse-vs-fireworks-inference.md) - [Fireworks AI Inference vs Gemini Developer API](https://www.anchorterminal.com/compare/fireworks-inference-vs-gemini-api.md) - [Fireworks AI Inference vs GroqCloud](https://www.anchorterminal.com/compare/fireworks-inference-vs-groq.md) - [Fireworks AI Inference vs Hugging Face Inference Providers](https://www.anchorterminal.com/compare/fireworks-inference-vs-hugging-face-inference-providers.md) - [Fireworks AI Inference vs Inkling 2 Small](https://www.anchorterminal.com/compare/fireworks-inference-vs-inkling-2-small.md) - [Fireworks AI Inference vs Jais 3](https://www.anchorterminal.com/compare/fireworks-inference-vs-jais-3.md) - [Fireworks AI Inference vs Meta Model API](https://www.anchorterminal.com/compare/fireworks-inference-vs-meta-model-api.md) - [Fireworks AI Inference vs MiniMax API](https://www.anchorterminal.com/compare/fireworks-inference-vs-minimax-api.md) - [Fireworks AI Inference vs Mistral AI API](https://www.anchorterminal.com/compare/fireworks-inference-vs-mistral-api.md) - [Fireworks AI Inference vs Muse Ember](https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-ember.md) - [Fireworks AI Inference vs Muse Spark Open](https://www.anchorterminal.com/compare/fireworks-inference-vs-muse-spark-open.md) - [Fireworks AI Inference vs Nemotron 3.5 Super VL](https://www.anchorterminal.com/compare/fireworks-inference-vs-nemotron-3-5-super-vl.md) - [Fireworks AI Inference vs Novita AI](https://www.anchorterminal.com/compare/fireworks-inference-vs-novita-ai.md) - [Fireworks AI Inference vs OpenAI API](https://www.anchorterminal.com/compare/fireworks-inference-vs-openai-api.md) - [Fireworks AI Inference vs OpenRouter](https://www.anchorterminal.com/compare/fireworks-inference-vs-openrouter.md) - [Fireworks AI Inference vs Prism Inference](https://www.anchorterminal.com/compare/fireworks-inference-vs-prism-inference.md) - [Fireworks AI Inference vs Router.com (Ramp Router)](https://www.anchorterminal.com/compare/fireworks-inference-vs-ramp-router.md) - [Fireworks AI Inference vs Beam 1.0](https://www.anchorterminal.com/compare/fireworks-inference-vs-reflection-beam.md) - [Fireworks AI Inference vs RouterPlus](https://www.anchorterminal.com/compare/fireworks-inference-vs-routerplus.md) - [Fireworks AI Inference vs SambaCloud](https://www.anchorterminal.com/compare/fireworks-inference-vs-sambanova.md) - [Fireworks AI Inference vs SiliconFlow](https://www.anchorterminal.com/compare/fireworks-inference-vs-siliconflow.md) - [Fireworks AI Inference vs Simplismart](https://www.anchorterminal.com/compare/fireworks-inference-vs-simplismart.md) - [Fireworks AI Inference vs StepFun API](https://www.anchorterminal.com/compare/fireworks-inference-vs-stepfun-api.md) - [Fireworks AI Inference vs SWE-2 Flash](https://www.anchorterminal.com/compare/fireworks-inference-vs-swe-2-flash.md) - [Fireworks AI Inference vs Tencent Cloud TokenHub](https://www.anchorterminal.com/compare/fireworks-inference-vs-tencent-tokenhub.md) - [Fireworks AI Inference vs Together AI Inference](https://www.anchorterminal.com/compare/fireworks-inference-vs-together-inference.md) - [Fireworks AI Inference vs Vercel AI Gateway](https://www.anchorterminal.com/compare/fireworks-inference-vs-vercel-ai-gateway.md) - [Fireworks AI Inference vs Vertex AI (Gemini Enterprise Agent Platform)](https://www.anchorterminal.com/compare/fireworks-inference-vs-vertex-ai.md) - [Fireworks AI Inference vs xAI API (Grok)](https://www.anchorterminal.com/compare/fireworks-inference-vs-xai-api.md) ## 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. --- Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp