DeepSeek V4 Flash 0731
Released 31 Jul 2026284B A13BAlso written as deepseek/deepseek-v4-flash-0731
1 result on 1 of 13 boards, latest measured Sep 2026. Compare with other models
Results
Each line sits on its own board's scale. Tall tick: the board leader.
Documentation and coding
- MedCode (Vals AI)model ID deepseek/deepseek-v4-flash-0731; reasoning_effort=high; max_output_tokens=3000041.41Rank 50 of 103Leader Claude Opus 5 63.57
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
- MedCode (Vals AI)41.4141.4×0.911model ID deepseek/deepseek-v4-flash-0731; reasoning_effort=high; max_output_tokens=30000
- One board, so its score
- 41.4
- Multiplier for 1 of 10 boards
- × 0.408
- Index
- 41.4 × 0.408 = 16.9
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. 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
50MedCode (Vals AI) deepseek-v4-flash-0731 41.41
Printed as 41.41%Official leaderboard, measured Sep 2026Configuration: model ID deepseek/deepseek-v4-flash-0731; reasoning_effort=high; max_output_tokens=30000Vals AI MedCode leaderboard official leaderboard, Vals AI, 29 Sep 2026. MedCode leaderboard, Overall task, All Models expanded, rank 50 of 103; Accuracy column; board Updated 9/29/2026. Rendered table row; configuration from embedded BenchmarkView props benchmarkView.default.tasks.overall["deepseek/deepseek-v4-flash-0731"].50 | DeepSeek V4 Flash 0731 | 41.41%±2.15 | $0.44/$1.32 | 2m07s
Every result from this document
Other DeepSeek models: DeepSeek R1, DeepSeek-V3.1, DeepSeek-V3.2-Exp, DeepSeek V4.1 Flash, DeepSeek V4 Flash, DeepSeek V4 Pro