Clinical Benchmarks
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GLM 5.3 Flash

Released 26 Aug 2026$0.15 input, $0.5 output per million tokens320B A18BopenAlso written as zai/glm-5.3-flash

1 result on 1 of 13 boards, latest measured Sep 2026. Compare with other models

Clinical Benchmarks Index36.3Rank 36 of 1491 of 10 boardsAverage × multiplier 88.9 × 0.408 = 36.3This 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 zai/glm-5.3-flash; temperature=1; top_p=0.95; max_output_tokens=30000; reasoning_effort=max
    88.94
    Rank 7 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)88.9488.9×0.25, near its ceilingNear its ceiling: leader 91.4, weight 0.25model ID zai/glm-5.3-flash; temperature=1; top_p=0.95; max_output_tokens=30000; reasoning_effort=max
One board, so its score
88.9
Multiplier for 1 of 10 boards
× 0.408
Index
88.9 × 0.408 = 36.3

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 1 result
  1. 7MedScribe (Vals AI) glm-5.3-flash 88.94
    Printed as 88.94%Official leaderboard, measured Sep 2026Configuration: model ID zai/glm-5.3-flash; temperature=1; top_p=0.95; max_output_tokens=30000; reasoning_effort=max
    Vals AI MedScribe leaderboard official leaderboard, Vals AI, 3 Sep 2026. Vals AI MedScribe leaderboard, View: All Models, Task: Overall, row 7 of 105 (GLM 5.3 Flash), Accuracy column; Updated 9/29/2026. Rendered BenchmarkView table; configuration from embedded astro-island BenchmarkView props, benchmarkView.default.tasks.overall["zai/glm-5.3-flash"].
    7 | GLM 5.3 Flash | 88.94%±1.91 | $0.075/$0.25 | 86.98s
    Every result from this document

Other Zhipu models: GLM 4.7, GLM 5.1, GLM 5.2, GLM 5.3