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Gemini 3 Pro

Released 18 Nov 20251M contextproprietaryAlso written as gemini-3-pro-preview, Gemini 3 Pro (11/25), google/gemini-3-pro-preview, gemini-3-pro-11-25

2 results on 2 of 13 boards, latest measured Sep 2026. Compare with other models

Clinical Benchmarks Index43.0Rank 23 of 1492 of 10 boardsAverage × multiplier 74.6 × 0.577 = 43.0This site’s own calculation. Working How it is computed

Results

Each line sits on its own board's scale. Tall tick: the board leader.

Clinical reasoning and knowledge

  1. MedXpertQA (MM)
    Qwen3.5 model card comparison; source-specific evaluation, not harmonized across vendors
    76.0
    Rank 7 of 22 here, 5 models on the boardLeader GPT-5.6 Sol 81.5
    Independent run
    Measured Feb 2026

Documentation and coding

  1. MedScribe (Vals AI)
    model ID google/gemini-3-pro-preview; temperature=1; max_output_tokens=30000; reasoning_effort=high
    72.04
    Rank 87 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026

Index working

The Clinical Benchmarks Index is this site's own calculation: a weighted average of the board scores times a multiplier for the boards behind it. How it is computed

  • MedScribe (Vals AI)72.0472.0×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID google/gemini-3-pro-preview; temperature=1; max_output_tokens=30000; reasoning_effort=high
  • MedXpertQA (MM)76.076.0×0.463, near its ceilingNear its ceiling: leader 81.5, weight 0.463Qwen3.5 model card comparison; source-specific evaluation, not harmonized across vendors
Weighted average of 2 boards
74.6
Multiplier for 2 of 10 boards
× 0.577
Index
74.6 × 0.577 = 43.0

Score: the result on the board’s own 0 to 100 scale. Dot: this model; tick: the board’s leader. Weight: how much the board counts in the weighted average; bold where the board is near its ceiling and counts for less. Each result links to its quote and page; the line under it is the setting it was measured with.

Sources

The quote, page and document for each of the 2 results
  1. 87MedScribe (Vals AI) gemini-3-pro-preview 72.04
    Printed as 72.04%Official leaderboard, measured Sep 2026Configuration: model ID google/gemini-3-pro-preview; temperature=1; max_output_tokens=30000; reasoning_effort=high
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 87 of 105 (Gemini 3 Pro (11/25)), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["google/gemini-3-pro-preview"].
    87 | Gemini 3 Pro (11/25) | 72.04%±1.90 | $2/$12 | 43.39s
    Every result from this document
  2. 7MedXpertQA (MM) Qwen3.5 model card… 76.0
    Printed as 76.0Independent run, measured Feb 2026Configuration: Qwen3.5 model card comparison; source-specific evaluation, not harmonized across vendors
    Qwen/Qwen3.5-397B-A17B model card model card, Alibaba / Qwen, 16 Feb 2026. Benchmark Results > Vision Language > Medical VQA; MedXpertQA-MM row, Gemini-3 Pro column.
    | GPT5.2 | Claude 4.5 Opus | Gemini-3 Pro | Qwen3-VL-235B-A22B | K2.5-1T-A32B | Qwen3.5-397B-A17B MedXpertQA-MM | 73.3 | 63.6 | 76.0 | 47.6 | 65.3 | 70.0
    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 (11/25), 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