GPQA Diamond (no tools)
Graduate-level science multiple-choice questions written to be hard to look up.
- ModelScoreYour cost / mo
- 1Gemini 3.1 Flash-Lite · Googlebest value86.9%
- 2gpt-oss-120b · OpenAIbest value80.1%
- 3gpt-oss-20b · OpenAIbest value71.5%
“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.
How each maker reported it
- Gemini 3.1 Flash-Lite p.4 (table also on the model card web page)
Results as of March 2026, as published in Google's model card. Settings as labelled by Google: 3.1 Flash-Lite High, 2.5 Flash and 2.5 Flash-Lite Dynamic, GPT-5 mini High, Claude 4.5 Haiku Extended Thinking, Grok 4.1 Fast Reasoning. GPT-5 mini CharXiv value is with python.
- gpt-oss-120b Figures 1, 2, 4; Table 2
OpenAI's own pass@1 results at reasoning level high. AIME and HLE with tools; Codeforces with a terminal tool. o4-mini and o3 values read from OpenAI's charts.
- gpt-oss-20b Figures 1, 2, 4; Table 2
OpenAI's own pass@1 results at reasoning level high. AIME and HLE with tools; Codeforces with a terminal tool. o3-mini was run without tools on AIME, HLE and Codeforces, so those cells are left empty. Baseline values read from OpenAI's charts.
Only each model's own maker's number is shown; scores a maker reports for rival models are left out.