Head to head · LLM inference · October 2026 research run
Claude Mythos 5.2 vs Muse Ember
Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Muse Ember's 51.8 (D), and leads in 6 of 7 scored categories. Both do llm inference.
Best model APIs and inference for AI agents · All 956 models comparisons
Which one, for what
Best 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
- Reliability, 60 against 40
- Schema & documentation, 90 against 60
- Agent ergonomics, 95 against 72
- Security & auth, 92 against 64
- Maintenance & community, 91 against 46
- Transparency & trust, 85 against 53
Also in its favour
- Agent-ready, a grade of BB or better
Watch for
Only for organisations Anthropic verifies, so an agent can't start on it alone
Best for Agents that hand out many small, bounded tasks (sub-agents, tool loops, routing, extraction over thousands of files) and want a cheap multimodal model with a 1M context behind the same API as a bigger Muse model.
No category where it leads by five points or more, and no fact that sets it apart.
Watch for
No weights and no parameter count published, so it can't be run locally
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Maintenance & community Claude Mythos 5.2 +45
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.
Muse Ember 46
Model reading. Released 9 November 2026 (30). No deprecation policy or notice period found, per the platform reading (0 of 12). Dated launches on the API, the latest Muse Wonder on 12 October and Muse Ember on 9 November (8 of 8). No Model API changelog; a help centre with tickets (8 of 15). No SDK of Meta's own (0 of 15, 0 of 10). 30 + 0 + 8 + 8 + 0 = 46.
Transparency & trust Claude Mythos 5.2 +32
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.
Muse Ember 53
Editorial half. Closed model under the Model API terms, with clear terms and law; no weights and no parameter count, unlike Muse Spark Open and Muse Glimmer (15). Standard content isn't used for training, retention periods not stated outside zero retention (18 of 30). No deprecation policy or dated notices (0). A subprocessor list linked but not read, no data locations (8 of 20). 15 + 18 + 0 + 8 = 41.
Schema & documentation Claude Mythos 5.2 +30
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.
Muse Ember 60
Model reading. No OpenAPI file; the Markdown reference is the contract, per the meta-model-api listing (0). llms.txt and Markdown copies of every page (10). The Muse Ember page and choose-a-model page say what to hand it and what not to (hard single-shot coding, knowledge-heavy questions, visual coding), with model ID, inputs, context, max output and effort range (18 of 20). JSON Schema tools and output, reasoning effort an enum, per the platform reading (12 of 15). Curl, Python and TypeScript examples and the platform's error guide (15). A versioned model ID and a dated launch post, with no API changelog (5 of 15). 0 + 10 + 18 + 12 + 15 + 5 = 60.
Security & auth Claude Mythos 5.2 +28
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.
Muse Ember 64
Platform readings are the meta-model-api listing's of 4 November. Team keys, named, revocable, no scopes (20 of 30). Standard mode only, so content isn't used to train Meta models under the terms, with safety use reserved (17 of 20). Retention 'as needed' with zero retention through sales (10 of 15). Usage dashboard by model, no per-call log (5 of 15). No security.txt on dev.meta.ai, a bug bounty and a security commitments page, no named certification (12 of 20). 20 + 17 + 10 + 5 + 12 = 64.
Agent ergonomics Claude Mythos 5.2 +23
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.
Muse Ember 72
Model reading. Tool calls, parallel calls, computer use and search grounding, with tool_choice limited to auto per the platform reading (15 of 20). Strict structured output (15). Automatic prompt caching, cached input at 4% of the input price (15). A 1,048,576-token context, but requests over 200K input tokens bill at three times the rate for the whole request (12 of 15). No batch endpoint (0). No SDK of Meta's own; OpenAI and Anthropic SDKs against compatible endpoints (0). OpenAI-style errors with fixes and retryable codes (15). 15 + 15 + 15 + 12 + 0 + 0 + 15 = 72.
Reliability Claude Mythos 5.2 +20
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.
Muse Ember 40
Model reading, for the surface it's called on, Meta Model API. No status page with readable history, per the meta-model-api listing's 4 November check (0), so no readable incident history (5). Rate limits published per team and per model, 3,000 RPM and 4,000,000 TPM for muse-ember-1.0, read 9 November (15). 429 and 503 with Retry-After, backoff guidance and rate-limit headers, per the meta-model-api listing (15). No SLA found (0). Muse Ember carries no preview label, but the API opened as a public preview in July and no general-availability notice was found, so half, as for the platform (5). 0 + 5 + 15 + 15 + 0 + 5 = 40.
Score by category
| Category | Weight this run | Claude Mythos 5.2 | Muse Ember | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 60 | 40 | Claude Mythos 5.2 +20 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 90 | 60 | Claude Mythos 5.2 +30 |
| Agent ergonomics | 13%16.2 | 95 | 72 | Claude Mythos 5.2 +23 |
| Security & auth | 14%17.5 | 92 | 64 | Claude Mythos 5.2 +28 |
| Payments & pricing | 10%12.5 | 20 | 20 | even |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 91 | 46 | Claude Mythos 5.2 +45 |
| Transparency & trust | 7%8.8 | 85 | 53 | Claude Mythos 5.2 +32 |
| Negative events | ≤15 | 0 | 0 | |
| Total | BB 76.1/100 | D 51.8/100 |
Facts side by side
| Fact | Claude Mythos 5.2 | Muse Ember |
|---|---|---|
| Kind | Model API | Model API |
| Vendor | Anthropic | Meta |
| Hosted endpoint | https://api.anthropic.com/v1 | https://api.meta.ai/v1 |
| Transports | ||
| Auth | API key | API key |
| Pricing | Pay per use | Pay per use |
| x402 | no | no |
| Licence | Closed model, used through the Claude API and cloud platforms under Anthropic's Commercial Terms of Service | Closed model, used through Meta Model API and Muse Code under the Meta Model API Terms of Service (last updated 9 October 2026). No open weights; Meta's open-weight models are Muse Spark Open and Muse Glimmer |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-11-09 | 2026-11-09 |
| Terms last updated | no date given | 2026-10-02 |
| Privacy policy last updated | no date given | couldn't be read |
| Customer content may train models | yes, with an opt-out | yes |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | yes | yes |
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.
Muse Ember
A cheap, capable model for the repeated parts of agent work, at $0.10 and $0.50 per million tokens with a 1M context and Meta's figures putting it level with Claude Haiku 5.5 on fewer tokens. Launched today on an API with no readable status page, SLA or deprecation policy, and closed, with no weights.
Before you call either
Claude Mythos 5.2
- 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
Muse Ember
- Call https://api.meta.ai/v1/responses (or /chat/completions or /messages) with model muse-ember-1.0 and a bearer MODEL_API_KEY
- Set the effort explicitly, reasoning.effort on Responses or reasoning_effort on Chat Completions. It defaults to max, and none isn't accepted; minimal or low suits classification and routing
- Keep input under 200K tokens a request, cached tokens and previous_response_id history included, or the whole request bills at the long-context rate
- Use it for sub-agents and bounded repeated tasks, and a larger Muse model for the plan, as Meta advises
- Use strict structured output for extraction and routing steps
- In Claude Code, map the haiku alias and sub-agent model to muse-ember-1.0, per Meta's guide
Questions
Which is better for AI agents, Claude Mythos 5.2 or Muse Ember?
Claude Mythos 5.2 scores 76.1 (BB) on agent readiness against Muse Ember's 51.8 (D), and leads in 6 of 7 scored categories.
Do Claude Mythos 5.2 and Muse Ember need an API key?
Both need an API key.
Can an agent call Claude Mythos 5.2 and Muse Ember without installing anything?
Yes. Claude Mythos 5.2 has a hosted endpoint at https://api.anthropic.com/v1 and Muse Ember at https://api.meta.ai/v1.
Other comparisons with Claude Mythos 5.2 or Muse Ember
- Amazon Bedrock vs Claude Mythos 5.2
- Amazon Bedrock vs Muse Ember
- Claude API vs Claude Mythos 5.2
- Claude API vs Muse Ember
- Antseed vs Claude Mythos 5.2
- Antseed vs Muse Ember
- Azure OpenAI in Foundry Models vs Claude Mythos 5.2
- Azure OpenAI in Foundry Models vs Muse Ember
- BlockRun.AI vs Claude Mythos 5.2
- BlockRun.AI vs Muse Ember
- Cerebras Inference vs Claude Mythos 5.2
- Cerebras Inference vs Muse Ember
- Claude Fable 5.2 vs Claude Mythos 5.2
- Claude Fable 5.2 vs Muse Ember
- Claude Mythos 5.2 vs Cloudflare AI Gateway
- Claude Mythos 5.2 vs Cloudflare Workers AI
- Claude Mythos 5.2 vs Cohere Chat API (Command models)
- Claude Mythos 5.2 vs DeepInfra
- Claude Mythos 5.2 vs DeepSeek API
- Claude Mythos 5.2 vs Eden AI
- Claude Mythos 5.2 vs Glimpse
- Claude Mythos 5.2 vs Fireworks AI Inference
- Claude Mythos 5.2 vs Gemini Developer API
- Claude Mythos 5.2 vs GroqCloud
- Claude Mythos 5.2 vs Hugging Face Inference Providers
- Claude Mythos 5.2 vs Inkling 2 Small
- Claude Mythos 5.2 vs Jais 3
- Claude Mythos 5.2 vs Meta Model API
- Claude Mythos 5.2 vs MiniMax API
- Claude Mythos 5.2 vs Mistral AI API
- Claude Mythos 5.2 vs Muse Spark Open
- Claude Mythos 5.2 vs Nemotron 3.5 Super VL
- Claude Mythos 5.2 vs Novita AI
- Claude Mythos 5.2 vs OpenAI API
- Claude Mythos 5.2 vs OpenRouter
- Claude Mythos 5.2 vs Prism Inference
- Claude Mythos 5.2 vs Router.com (Ramp Router)
- Claude Mythos 5.2 vs Beam 1.0
- Claude Mythos 5.2 vs RouterPlus
- Claude Mythos 5.2 vs SambaCloud
- Claude Mythos 5.2 vs SiliconFlow
- Claude Mythos 5.2 vs Simplismart
- Claude Mythos 5.2 vs StepFun API
- Claude Mythos 5.2 vs SWE-2 Flash
- Claude Mythos 5.2 vs Tencent Cloud TokenHub
- Claude Mythos 5.2 vs Together AI Inference
- Claude Mythos 5.2 vs Vercel AI Gateway
- Claude Mythos 5.2 vs Vertex AI (Gemini Enterprise Agent Platform)
- Claude Mythos 5.2 vs xAI API (Grok)
- Cloudflare AI Gateway vs Muse Ember
- Cloudflare Workers AI vs Muse Ember
- Cohere Chat API (Command models) vs Muse Ember
- DeepInfra vs Muse Ember
- DeepSeek API vs Muse Ember
- Eden AI vs Muse Ember
- Glimpse vs Muse Ember
- Fireworks AI Inference vs Muse Ember
- Gemini Developer API vs Muse Ember
- GroqCloud vs Muse Ember
- Hugging Face Inference Providers vs Muse Ember
- Inkling 2 Small vs Muse Ember
- Jais 3 vs Muse Ember
- Meta Model API vs Muse Ember
- MiniMax API vs Muse Ember
- Mistral AI API vs Muse Ember
- Muse Ember vs Muse Spark Open
- Muse Ember vs Nemotron 3.5 Super VL
- Muse Ember vs Novita AI
- Muse Ember vs OpenAI API
- Muse Ember vs OpenRouter
- Muse Ember vs Prism Inference
- Muse Ember vs Router.com (Ramp Router)
- Muse Ember vs Beam 1.0
- Muse Ember vs RouterPlus
- Muse Ember vs SambaCloud
- Muse Ember vs SiliconFlow
- Muse Ember vs Simplismart
- Muse Ember vs StepFun API
- Muse Ember vs SWE-2 Flash
- Muse Ember vs Tencent Cloud TokenHub
- Muse Ember vs Together AI Inference
- Muse Ember vs Vercel AI Gateway
- Muse Ember vs Vertex AI (Gemini Enterprise Agent Platform)
- Muse Ember vs xAI API (Grok)
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.
Machine-readable
- This page as Markdown
/compare/claude-mythos-5-2-vs-muse-ember.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/claude-mythos-5-2.json·/api/v1/tools/muse-ember.json - From a terminal
anchor compare claude-mythos-5-2 muse-ember(the CLI) - Over MCP
compare_tools {"a": "claude-mythos-5-2", "b": "muse-ember"}at/mcp, no key