Clinical Benchmarks

GLM 5.3 Flash

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

Clinical Benchmarks Index
56.0rank 53 of 148; 97.1 × 0.577 = 56.0, from 1 of 10 boards
Boards
1 of 13
Results
1
Latest measurement
Sep 2026

Results

Each line is placed on its own board. Dark 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

Sources

Open a line for the quote and page.

  1. 7MedScribe (Vals AI) model ID zai/glm-5.3-flash; temperature=1; top_p=0.95; max_output_tokens=30000;… 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