Compare · ModelsLive · 2 picked · head to head
Claude Mythos Preview vs Claude Sonnet 4.6
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Mythos Preview wins on 2/2 benchmarks
Claude Mythos Preview wins 2 of 2 shared benchmarks. Leads in knowledge · coding.
Category leads
knowledge·Claude Mythos Previewcoding·Claude Mythos Preview
Hype vs Reality
Attention vs performance
Claude Mythos Preview
#4 by perf·#2 by attention
Claude Sonnet 4.6
#104 by perf·#18 by attention
Best value
Claude Sonnet 4.6
Claude Mythos Preview
—
no price
Claude Sonnet 4.6
5.3 pts/$
$9.00/M
Vendor risk
Who is behind the model
Anthropic
$380.0B·Tier 1
Anthropic
$380.0B·Tier 1
Head to head
2 benchmarks · 2 models
Claude Mythos PreviewClaude Sonnet 4.6
GPQA diamond
Claude Mythos Preview leads by +11.3
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Claude Mythos Preview
94.5
Claude Sonnet 4.6
83.2
SWE-Bench verified
Claude Mythos Preview leads by +18.7
SWE-bench Verified · 500 human-validated tasks from 12 real Python repositories (Django, Flask, scikit-learn, sympy, and others). Each task requires the model to produce a git patch that resolves a real GitHub issue and passes the test suite. The verified subset eliminates ambiguous tasks from the original SWE-bench. Claude Mythos Preview leads at 93.9%, crossing 90% for the first time in 2026. Opus 4.6 scores 80.8%. The benchmark remains the most-cited evaluation for code-generation capability.
Claude Mythos Preview
93.9
Claude Sonnet 4.6
75.2
Full benchmark table
| Benchmark | Claude Mythos Preview | Claude Sonnet 4.6 |
|---|---|---|
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 94.5 | 83.2 |
SWE-Bench verified SWE-bench Verified · 500 human-validated tasks from 12 real Python repositories (Django, Flask, scikit-learn, sympy, and others). Each task requires the model to produce a git patch that resolves a real GitHub issue and passes the test suite. The verified subset eliminates ambiguous tasks from the original SWE-bench. Claude Mythos Preview leads at 93.9%, crossing 90% for the first time in 2026. Opus 4.6 scores 80.8%. The benchmark remains the most-cited evaluation for code-generation capability. | 93.9 | 75.2 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| — | — | 1.0M tokens (~500 books) | — | |
| $3.00 | $15.00 | 1.0M tokens (~500 books) | $60.00 |
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