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DeepSeek

DeepSeek-V3 benchmark results

8 results on 7 benchmarks from 4 sources.

Open weights Released: Dec 26, 2024 Updated Oct 22, 2026

Also listed as: deepseek-v3 · DeepSeek v3 · DeepSeek-V3 Base · deepseek-chat · Deepseek-V3

All benchmark results

Benchmarks Score Rank Setting Source type Date
LMArena Text 1358 206 Overall, style control on; 21770 votes; 95% CI 1354–1363“deepseek-v3” Official leaderboard Oct 8, 2026
LiveCodeBench 14.9% 22 Code generation, 182 problems dated 2025-01-01…2025-04-07 Official leaderboard Apr 7, 2025
GPQA Diamond 56.5% 188 Epoch AI run, accuracy Independent run Jan 27, 2025
MMLU 87.1% 2 Exact match; 5-shot Paper / tech report via Epoch AI Dec 26, 2024
MMLU 87.2% 2 Exact match; 5-shot Official leaderboard via Epoch AI Dec 26, 2024
MMLU-Pro 75.9% 84 Overall accuracy; data source: Self-Reported; 671B“Deepseek-V3” Vendor-reported Mar 11, 2026
AIME (OTIS Mock AIME 2024–2025) 15.8% 212 Epoch AI run, OTIS Mock AIME 2024–2025 Independent run Feb 25, 2025
MATH Level 5 64.8% 48 Epoch AI run, accuracy Independent run Jan 27, 2025
← AI Model Benchmarks

FAQ

Where do these DeepSeek-V3 scores come from?

From Epoch AI Benchmarking Hub, LiveCodeBench leaderboard, 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)