Compare · ModelsLive · 2 picked · head to head
Gemini 3.1 Pro Preview vs Claude Mythos Preview
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Claude Mythos Preview wins on 3/3 benchmarks
Claude Mythos Preview wins 3 of 3 shared benchmarks. Leads in knowledge · coding.
Category leads
knowledge·Claude Mythos Previewcoding·Claude Mythos Preview
Hype vs Reality
Attention vs performance
Gemini 3.1 Pro Preview
#38 by perf·no signal
Claude Mythos Preview
#4 by perf·#2 by attention
Best value
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview
8.7 pts/$
$7.00/M
Claude Mythos Preview
—
no price
Vendor risk
Who is behind the model
Google DeepMind
$4.00T·Tier 1
Anthropic
$380.0B·Tier 1
Head to head
3 benchmarks · 2 models
Gemini 3.1 Pro PreviewClaude Mythos Preview
GPQA diamond
Claude Mythos Preview leads by +2.4
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 3.1 Pro Preview
92.1
Claude Mythos Preview
94.5
SWE-Bench verified
Claude Mythos Preview leads by +18.3
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.
Gemini 3.1 Pro Preview
75.6
Claude Mythos Preview
93.9
Terminal Bench
Claude Mythos Preview leads by +3.6
Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence.
Gemini 3.1 Pro Preview
78.4
Claude Mythos Preview
82.0
Full benchmark table
| Benchmark | Gemini 3.1 Pro Preview | Claude Mythos Preview |
|---|---|---|
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 92.1 | 94.5 |
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. | 75.6 | 93.9 |
Terminal Bench Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence. | 78.4 | 82.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $2.00 | $12.00 | 1.0M tokens (~524 books) | $45.00 | |
| — | — | 1.0M tokens (~500 books) | — |