Clinical Benchmarks
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o3

Released 16 Apr 2025$2 input, $8 output per million tokens200K contextproprietaryAlso written as o3-2025-04-16, OpenAI o3, openai-o3, openai/o3-2025-04-16

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

Clinical Benchmarks Index30.9Rank 52 of 1492 of 10 boardsAverage × multiplier 53.6 × 0.577 = 30.9This 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/o3-2025-04-16; max_output_tokens=30000; reasoning_effort=high
    76.65
    Rank 70 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedCode (Vals AI)
    model ID openai/o3-2025-04-16; reasoning_effort=high; max_output_tokens=30000
    47.29
    Rank 31 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)76.6576.7×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID openai/o3-2025-04-16; max_output_tokens=30000; reasoning_effort=high
  • MedCode (Vals AI)47.2947.3×0.911model ID openai/o3-2025-04-16; reasoning_effort=high; max_output_tokens=30000
Weighted average of 2 boards
53.6
Multiplier for 2 of 10 boards
× 0.577
Index
53.6 × 0.577 = 30.9

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. 70MedScribe (Vals AI) o3-2025-04-16 76.65
    Printed as 76.65%Official leaderboard, measured Sep 2026Configuration: model ID openai/o3-2025-04-16; 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 70 of 105 (o3), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["openai/o3-2025-04-16"].
    70 | o3 | 76.65%±1.87 | $2/$8 | 46.39s
    Every result from this document
  2. 31MedCode (Vals AI) o3-2025-04-16 47.29
    Printed as 47.29%Official leaderboard, measured Sep 2026Configuration: model ID openai/o3-2025-04-16; 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 31 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["openai/o3-2025-04-16"].
    31 | o3 | 47.29%±2.16 | $2/$8 | 17.68s
    Every result from this document

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