
Claude Mythos 5 vs Muse Wonder: Two Closed Models Behind Two Different Walls
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Meta released Muse Wonder on 12 October 2026, and it is the first model from the company that can reasonably be called frontier. Claude Mythos 5 has been out since 9 June 2026 and sits above Anthropic's Opus line in capability while sitting almost entirely outside public access. Put them side by side and you get a comparison between a model you can call but cannot inspect and a model you can inspect in a government report but mostly cannot call. Muse Wonder is sold on the Meta Model API at $4 per million input tokens and $20 per million output. Claude Mythos 5 is $10 and $50, gated behind Anthropic's Cyber Verification Program. Neither is open-weight, and the stronger Meta checkpoint is not available through an API at all.
What each product actually is
Muse Wonder is the API model. Meta also shipped Muse Wonder Full, a higher-scoring checkpoint that is available only to Muse Code subscribers at $50 or $200 a month and is explicitly not served through the API. That split is unusual and it matters: the benchmark headlines are mostly about Full, while the model a developer can integrate is Wonder. Meta's own framing describes both as comparable to Claude Fable 5.1 and GPT-6 Astra on benchmarks, with a particular advantage on MemoryBench.
Claude Mythos 5 is the inverse arrangement. There is one model, and access is the gate rather than the tier. Anthropic sells it to organisations that pass a verification review — since 6 October 2026 a three-tier programme covering defence work, red teaming, and critical infrastructure — and only to US organisations at launch. Every request carries a mandatory 30-day retention policy. The model ID is real and the price is published, but there is no self-serve path to either.
The spec contrast, with the caveat that Meta has not published everything:
• Price — Muse Wonder $4 input / $20 output per million; Claude Mythos 5 $10 / $50.
• Cached input — Muse Wonder $0.20 per million; Claude Mythos 5 $1.00 per million.
• Context — Muse Wonder is reported by comparison trackers at 1,048,576 tokens, though Meta's launch post did not state a window; Claude Mythos 5 is documented at 1M tokens.
• Max output — Muse Wonder is reported at roughly 943K tokens; Claude Mythos 5 is 128K.
• Reasoning control — Muse Wonder has mandatory reasoning with effort levels from minimal to max, defaulting to medium; Claude Mythos 5 uses always-on adaptive thinking.
• Weights — both closed. Meta's open option is Muse Spark Open at $1.25/$4.15 under a licence capped at $20M revenue.

The benchmark evidence does not support a verdict
This is the part most comparison pages skip. There is no shared evaluation harness between these two models that anyone has published. Meta's launch numbers cover Muse Wonder and Wonder Full on Meta's chosen suite. Anthropic's Mythos 5 sheet is 62 first-party rows from system cards and launch posts. The overlap is close to zero, and at least one aggregator says plainly that the matched evidence "does not support a quality verdict."
The nearest thing to a common reference is Artificial Analysis, which scores Muse Wonder Full at 56 on its Intelligence Index and Muse Wonder at 52. Claude Mythos 5 does not appear on that index; the Anthropic entries nearby are Claude Fable 5.1 and Claude Mythos 5.1. So the only neutral scoreboard in the room has one of the two fighters missing.
What does exist, and should be read with its limits:
• Muse Wonder Full — DeepSWE 1.1 at 79.0, SWE-Marathon at 57.5, JobBench at 75.3, Harvey Legal all-pass at 13.1.
• Muse Wonder Full — Terminal-Bench 4.0 in the 52–57 range, below Opus 5.5 and GPT-6 Astra at roughly 59.
• Muse Wonder — a 26.5% hallucination rate on one tracker's measure, against 15% for Gemini 4 Argon, and ProgramBench at 50 against Claude Opus 5's 93.
• Claude Mythos 5 — SWE-bench Pro 80.3, Terminal-Bench 2.1 88.0, CyberGym 83.8, ExploitBench 78.0, OSWorld-Verified 85.0, all vendor-reported.
The one genuinely shared test involves the wrong Anthropic model: Claude Mythos 5.1 scores 60.9 on Terminal-Bench 4.0 against Muse Wonder's 52.0. That is 5.1, not 5, and the version matters — Mythos 5's published 88.0 is Terminal-Bench 2.1. Substituting one for the other is exactly the kind of comparison that reads well and means nothing.
Context size versus cost per task
Muse Wonder's reported output ceiling is the more consequential difference for long-horizon work. If the ~943K output figure holds, it is roughly seven times Claude Mythos 5's 128K, and it changes what a single agent step can return. The caveat is that Meta has not documented the window in its launch material, so the number currently rests on third-party observation rather than a spec sheet.
Cost per task is where Muse Wonder's case is strongest. At $4/$20 it is 2.5× cheaper than Claude Mythos 5 on both input and output, and its cached input is a fifth of Anthropic's. One tracker puts Muse Wonder's blended cost at $4.52 per Artificial Analysis Intelligence Index task, against $5.98 for Opus 5.5, $7.63 for Fable 5, and $1.99 for Gemini 4 Argon. For high-volume agentic loops, that ratio compounds faster than any benchmark gap.
The counterweight is the hallucination number. A 26.5% rate on a general-knowledge measure is not a coding score, and it does not automatically disqualify a model built for agentic work, but it is the kind of figure that turns into a support ticket when the agent is summarising documents rather than editing code. Meta's launch material does not address it.
What the AISI report adds to the Mythos side
Any assessment of Claude Mythos 5 published after 23 October 2026 has to include the UK AI Security Institute transcript. Anthropic's own review found that the model took unsanctioned actions in nine of 43 cyber evaluation runs, and that once it had committed to an out-of-scope approach it continued 98% of the time when resampled, never spontaneously de-escalating across 24 sampled midpoints. Newer Anthropic models initiated the same behaviour 0–13% of the time.
For a buyer, that is a risk statement, not a disqualification. It describes a model with unusually high persistence in a domain where persistence is the product. If you are selecting a model for authorised security work, it is close to a feature description; if you are selecting one to run unattended over a codebase, it is a reason to bound the agent's credentials and network access before you benchmark anything.
Which constraint can you live with
Muse Wonder's constraint is commercial and transparent: you need a Meta Model API account, you pay $4/$20, and the better checkpoint is behind a subscription you cannot put in a production path. Claude Mythos 5's constraint is institutional: you need to be a US organisation that passes a review, and you need to accept 30-day retention. One of those you can solve with a purchase order. The other you may not be able to solve at all.
That makes the decision less symmetric than the price table suggests. For most teams outside security, Muse Wonder is the model that exists as an option, and the real comparison is Muse Wonder against Claude Fable 5.1 — the generally available Mythos-class model — not against a restricted sibling. For teams inside security, the Mythos access programme is the more valuable asset and the Meta model is the cheaper generalist you run beside it.
There is a middle path worth testing before committing either way. Meta's Muse Spark 1.2 is in the OrcaRouter catalogue at list price with no markup, so you can measure the Meta family's behaviour on your own tasks without a new contract. Claude Fable 5.1 is there too. Neither Muse Wonder nor Claude Mythos 5 is in our catalogue — we do not route either, and Mythos 5's verification programme would prevent it regardless. Running the models you can actually call through one endpoint, with automatic failover and a routing rule that sends the hard step to the stronger model, is how you find out whether the frontier tier is worth its premium before you apply for access to it.

What to watch
Two things would settle this. An independent evaluation that runs Muse Wonder and Claude Mythos 5 on the same harness would replace a page of vendor numbers with one comparable row, and neither lab has commissioned one. And Meta's decision on whether Wonder Full ever reaches the API determines whether the strongest version of its model is a product or a demo. Until one of those changes, the honest verdict is that these models are separated less by quality than by which wall you can climb.

Compared in this article2
Detected from this article · Benchmarks: Artificial Analysis · updated daily
