DeepSeek R1
Released 20 Jan 2025128K context671B total / 37B activemit
2 results on 2 of 13 boards, latest measured Aug 2026. Compare with other models
Results
Each line sits on its own board's scale. Tall tick: the board leader.
Clinical reasoning and knowledge
- 0.485Rank 7 of 10 here, 11 models on the boardLeader Gemini 3.1 Pro (Preview) 0.652
Safety
- 55.8Rank 17 of 17 here, 19 models on the boardLeader LiSA 2.5 86.2
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
- Weighted average of 2 boards
- 51.2
- Multiplier for 2 of 10 boards
- × 0.577
- Index
- 51.2 × 0.577 = 29.5
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 2 results
7MedHELM 0.485
Printed as 0.485Official leaderboard, measured May 2026MedHELM leaderboard (medhelm.org), v5.0.0 official leaderboard, Stanford CRFM (MedHELM), 14 May 2026. medhelm.org home, 'Current leaders Mean win rate v5.0.0' table ('10 of 11 models · Updated 14 May 2026')7 DeepSeek R1 DeepSeek 0.485
Every result from this document- Also printed in MedHELM v5.0.0 release data: medhelm_scenarios group table (mean win rate): 0.48541666666666666, releases/v5.0.0/groups/medhelm_scenarios.json, table 'Accuracy', column 'Mean win rate'
17First, Do NOHARM (v2) 55.8
Printed as 55.8%Official leaderboard, measured Aug 2026MAST technical leaderboard (First Do NOHARM v2 and per-benchmark results) official leaderboard, ARISE AI Research Network, 15 Aug 2026. arise-ai.org/mast/technical, 'First Do NOHARM v2 overall metric across 19 models' ranking (Latest Flagships view)16DeepSeek R1OSSDeepSeek 55.8%
Every result from this document
Other DeepSeek models: DeepSeek-V3.1, DeepSeek-V3.2-Exp, DeepSeek V4.1 Flash, DeepSeek V4 Flash, DeepSeek V4 Flash 0731, DeepSeek V4 Pro