Clinical Benchmarks
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GPT-5 nano

Released 7 Aug 2025$0.05 input, $0.4 output per million tokens400K contextproprietaryAlso written as gpt-5-nano-2025-08-07, openai/gpt-5-nano-2025-08-07, GPT 5 Nano

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

Clinical Benchmarks Index22.8Rank 100 of 1492 of 10 boardsAverage × multiplier 39.6 × 0.577 = 22.8This site’s own calculation. Working How it is computed

Results

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

Documentation and coding

  1. MedScribe (Vals AI)
    model ID openai/gpt-5-nano-2025-08-07; max_output_tokens=30000; reasoning_effort=high
    72.86
    Rank 81 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedCode (Vals AI)
    model ID openai/gpt-5-nano-2025-08-07; reasoning_effort=high; max_output_tokens=30000
    30.44
    Rank 92 of 103Leader Claude Opus 5 63.57
    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)72.8672.9×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID openai/gpt-5-nano-2025-08-07; max_output_tokens=30000; reasoning_effort=high
  • MedCode (Vals AI)30.4430.4×0.911model ID openai/gpt-5-nano-2025-08-07; reasoning_effort=high; max_output_tokens=30000
Weighted average of 2 boards
39.6
Multiplier for 2 of 10 boards
× 0.577
Index
39.6 × 0.577 = 22.8

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. 81MedScribe (Vals AI) gpt-5-nano-2025-08-07 72.86
    Printed as 72.86%Official leaderboard, measured Sep 2026Configuration: model ID openai/gpt-5-nano-2025-08-07; 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 81 of 105 (GPT 5 Nano), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["openai/gpt-5-nano-2025-08-07"].
    81 | GPT 5 Nano | 72.86%±1.89 | $0.05/$0.4 | 112.91s
    Every result from this document
  2. 92MedCode (Vals AI) gpt-5-nano-2025-08-07 30.44
    Printed as 30.44%Official leaderboard, measured Sep 2026Configuration: model ID openai/gpt-5-nano-2025-08-07; reasoning_effort=high; max_output_tokens=30000
    Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 92 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["openai/gpt-5-nano-2025-08-07"].
    92 | GPT 5 Nano | 30.44%±1.95 | $0.05/$0.4 | 29.74s
    Every result from this document

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