Vals AI GPQA: leaderboard

Vals AI's own run of the 198-question GPQA Diamond set, four-option multiple choice questions in biology, physics and chemistry written and validated by subject experts. Models answer closed-book with their reasoning shown, and the selected letter is pulled out by pattern matching and compared with the key. The number is accuracy over the set, higher is better.

Metric: Accuracy (%). Source: www.vals.ai. Saturation forecast: Estimated already saturated. 138 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview) (High)95.45#58 (Gemini 3.1 Pro (Preview))
2GPT-5.6 Sol (Max)95.2#19 (GPT-5.6 Sol)
3Grok 4.6 (High)94.7#26 (Grok 4.6)
4Gemini 3.8 Flash (High)94.44#21 (Gemini 3.8 Flash)
5Gemini 3.7 Flash (High)93.94#23 (Gemini 3.7 Flash)
6Qwen 3.8 Max93.69#35
7Claude Opus 593.43#12
8Gemini 3.6 Flash (High)93.43#51 (Gemini 3.6 Flash)
9Claude Fable 5.1 (Max)93.43#9 (Claude Fable 5.1)
10GPT-5.5 (xHigh)93.18#31 (GPT-5.5)
11Claude Fable 5 (Max)93.18#16 (Claude Fable 5)
12Kimi K392.93#30
13Grok 4.5 (High)92.93#48 (Grok 4.5)
14MiniMax-M392.68#136
15Gemini 3.5 Flash (High)92.68#60 (Gemini 3.5 Flash)

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=vals-ai-gpqa · How It Works · Data refreshed daily, snapshot 2026-10-20.