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DeepSeek

DeepSeek-R1 benchmark results

5 results on 5 benchmarks from 3 sources.

Open weights Released: Jan 20, 2025 Updated Oct 22, 2026 API prices & specs →

Also listed as: deepseek-r1

All benchmark results

Benchmarks Score Rank Setting Source type Date
LMArena Text 1398 163 Overall, style control on; 18524 votes; 95% CI 1393–1403“deepseek-r1” Official leaderboard Oct 8, 2026
GPQA Diamond 71.7% 153 Epoch AI run, accuracy Independent run May 26, 2025
MMLU-Pro 84.0% 40 Overall accuracy; data source: Self-Reported; 671B Vendor-reported Mar 11, 2026
AIME (OTIS Mock AIME 2024–2025) 53.3% 161 Epoch AI run, OTIS Mock AIME 2024–2025 Independent run Feb 26, 2025
MATH Level 5 93.0% 19 Epoch AI run, accuracy Independent run Jan 31, 2025
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FAQ

Where do these DeepSeek-R1 scores come from?

From Epoch AI Benchmarking Hub, LMArena leaderboard dataset, and MMLU-Pro leaderboard (TIGER-Lab). Each row links to the original leaderboard, dataset or report, and vendor-reported numbers are labelled.

Data updated: Benchmarks(UTC+8)