GeneBench Pro
Can the model reason accurately about difficult scientific material?
Science7 ranked models7 reported values1 reportsHigher is better
Top rankings
One row per model, using its best reported score across effort settings.
| Rank | Model | Best score | Best reported setting |
|---|---|---|---|
| 1 | GPT-5.6 SolOpenAI | 28.70% | Reported configurationOpenAI report1 value · 1 reportJul 9, 2026 · source |
| 2 | GPT-5.6 TerraOpenAI | 23.30% | Reported configurationOpenAI report1 value · 1 reportJul 9, 2026 · source |
| 3 | Claude Opus 4.8Anthropic | 16.00% | Reported configurationOpenAI report1 value · 1 reportJul 9, 2026 · source |
| 4 | GPT-5.5OpenAI | 12.00% | Reported configurationOpenAI report1 value · 1 reportJul 9, 2026 · source |
| 5 | GPT-5.6 LunaOpenAI | 10.80% | Reported configurationOpenAI report1 value · 1 reportJul 9, 2026 · source |
| 6 | Gemini 3.5 FlashGoogle | 8.14% | Reported configurationOpenAI report1 value · 1 reportJul 9, 2026 · source |
| 7 | Gemini 3.1 Pro PreviewGoogle | 3.10% | Reported configurationOpenAI report1 value · 1 reportJul 9, 2026 · source |
Effort curve
Every sourced cost-linked effort value for this exact version. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundarypublic methodology
Can the model reason accurately about difficult scientific material?
Scientific knowledge and reasoning under the benchmark's published question set. Higher is better. The value is the percentage reported in this lab's table.
Harness, tools, prompts, attempt count, and benchmark version can materially change the result. Compare within one reporting context.
Method / source