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GPT-5.4 nano

Released 17 Mar 2026$0.2 input, $1.25 output per million tokens400K contextproprietaryAlso written as gpt-5.4-nano-2026-03-17, GPT 5.4 Nano, openai/gpt-5.4-nano-2026-03-17

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

Clinical Benchmarks Index28.2Rank 70 of 1492 of 10 boardsAverage × multiplier 48.8 × 0.577 = 28.2This 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-5.4-nano-2026-03-17; max_output_tokens=30000; reasoning_effort=high
    77.09
    Rank 68 of 105Leader Claude Opus 5.5 91.43
    Official leaderboard
    Measured Sep 2026
  2. MedCode (Vals AI)
    model ID openai/gpt-5.4-nano-2026-03-17; reasoning_effort=high; max_output_tokens=30000
    41.03
    Rank 56 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)77.0977.1×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID openai/gpt-5.4-nano-2026-03-17; max_output_tokens=30000; reasoning_effort=high
  • MedCode (Vals AI)41.0341.0×0.911model ID openai/gpt-5.4-nano-2026-03-17; reasoning_effort=high; max_output_tokens=30000
Weighted average of 2 boards
48.8
Multiplier for 2 of 10 boards
× 0.577
Index
48.8 × 0.577 = 28.2

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. 68MedScribe (Vals AI) gpt-5.4-nano-2026-03-17 77.09
    Printed as 77.09%Official leaderboard, measured Sep 2026Configuration: model ID openai/gpt-5.4-nano-2026-03-17; 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 68 of 105 (GPT 5.4 Nano), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["openai/gpt-5.4-nano-2026-03-17"].
    68 | GPT 5.4 Nano | 77.09%±1.89 | $0.2/$1.25 | 20.53s
    Every result from this document
  2. 56MedCode (Vals AI) gpt-5.4-nano-2026-03-17 41.03
    Printed as 41.03%Official leaderboard, measured Sep 2026Configuration: model ID openai/gpt-5.4-nano-2026-03-17; 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 56 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["openai/gpt-5.4-nano-2026-03-17"].
    56 | GPT 5.4 Nano | 41.03%±2.26 | $0.2/$1.25 | 8.04s
    Every result from this document

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