Compare · ModelsLive · 2 picked · head to head
Claude Mythos Preview vs GPT-6 Astra
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.
Category leads
knowledge·Claude Mythos Preview
Hype vs Reality
Attention vs performance
Claude Mythos Preview
#5 by perf·no signal
GPT-6 Astra
#9 by perf·#1 by attention
Vendor risk
Who is behind the model
Anthropic
$965.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
2 benchmarks · 2 models
Claude Mythos PreviewGPT-6 Astra
GPQA diamond
Claude Mythos Preview leads by +0.1
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
GPT-6 Astra
94.4
HLE
Claude Mythos Preview leads by +4.3
HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%.
Claude Mythos Preview
56.8
GPT-6 Astra
52.5
Full benchmark table
| Benchmark | Claude Mythos Preview | GPT-6 Astra |
|---|---|---|
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 | 94.4 |
HLE HLE (Humanity's Last Exam) · a reasoning benchmark designed to be the hardest public evaluation of AI. Questions span mathematics, physics, philosophy, and logic · curated to be at or beyond the frontier of human expert capability. Tested with and without tool augmentation. Claude Opus 4.7 scores 46.9% without tools and 54.7% with tools · making it one of the few benchmarks where the top score is below 60%. | 56.8 | 52.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| — | — | 1.0M tokens (~500 books) | — | |
| $10.00 | $50.00 | 1.1M tokens (~525 books) | $200.00 |
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