Kaggle Open Benchmarks - GPQA Diamond (Zero-Shot): leaderboard

Zero-shot accuracy on the 198-question GPQA Diamond subset of graduate-level, Google-proof multiple-choice science questions (biology, chemistry, physics). Kaggle's standardized re-run on its own harness under the open-benchmarks organization, not the original authors' leaderboard; Kaggle's fraction is shown as a percentage (0-100, higher is better). Four answer options, so guessing scores about 25.

Metric: Accuracy (%). Source: www.kaggle.com. Saturation forecast: Around February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.6 Flash93.43#57
2GPT-5.6 Sol92.93#22
3GPT-6 Astra92.93#6
4Gemini 3.5 Flash91.41#66
5Grok 4.590.91#54
6Claude Opus 590.86#16
7Gemini 3 Flash (Preview)90.4#90
8GPT-5.6 Terra86.36#40
9Gemma 4 31B84.85#212
10GPT-584.34#105
11GPT-5.6 Luna84.34#79
12Claude Opus 4.884.26#39
13Gemma 4 26B A4B83.25#360
14DeepSeek R1 052880.81#232
15Gemini 3.5 Flash Lite74.75#174

No result here: #3 Claude Opus 5.5, #7 GPT-6.1 Sol, #9 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=kaggle-open-benchmarks-gpqa-diamond-zero-shot · How It Works · Data refreshed daily, snapshot 2026-11-05.