Gemini 3 Pro (11/25)
Also written as google/gemini-3-pro-previewCompare with other models
- Clinical Benchmarks Index
- 42.8rank 87 of 148; 74.1 × 0.577 = 42.8, from 1 of 10 boards
- Boards
- 1 of 13
- Results
- 1
- Latest measurement
- Sep 2026
Results
Each line is placed on its own board. Dark tick: the board leader.
Documentation and coding
- MedCode (Vals AI)model ID google/gemini-3-pro-preview; reasoning_effort=high; temperature=1; max_output_tokens=3000052.20Rank 13 of 103Leader Claude Opus 5 63.57
Sources
Open a line for the quote and page.
13MedCode (Vals AI) model ID google/gemini-3-pro-preview; reasoning_effort=high; temperature=1; max… 52.20
Printed as 52.20%Official leaderboard, measured Sep 2026Configuration: model ID google/gemini-3-pro-preview; reasoning_effort=high; temperature=1; max_output_tokens=30000Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 13 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["google/gemini-3-pro-preview"].13 | Gemini 3 Pro (11/25) | 52.20%±2.07 | $2/$12 | 55.84s
Every result from this document
Other Google models: Gemini 2.0 Flash, Gemini 2.5 Flash, Gemini 2.5 Flash (7/17), Gemini 2.5 Flash Lite, Gemini 2.5 Flash Lite (9/25), Gemini 2.5 Flash Preview (9/25), Gemini 2.5 Pro, Gemini 3.1 Flash Lite Preview, Gemini 3.1 Pro, Gemini 3.5 Flash, Gemini 3.5 Flash Lite, Gemini 3.6 Flash, Gemini 3.7 Flash, Gemini 3.8 Flash, Gemini 3 Flash, Gemini 3 Pro, Gemma 3 12B, Gemma 3 27B, Gemma 4 12B, Gemma 4 26B A4B, Gemma 4 31B, Gemma 4 E2B, Gemma 4 E4B, MedGemma 27B Text, MedGemma 4B