DeepSeek V3.2 — Benchmarks

Benchmark scores for DeepSeek V3.2 aggregated from public leaderboards, with how it ranks among open models. See hardware requirements for what you need to run it.

Overall rank: #26 of 73 open modelscomposite 53.1/100 across 8 benchmarks in 4 categories · methodology

Coding

Benchmark	Score	Open rank	All models
Terminal-Bench	39.6%	#5 / 16	#33 / 57
SWE-bench Bash Only	60.0%	#3 / 9	#26 / 48
SWE-bench Multilingual	59.0%	#4 / 4	#13 / 14
SWE-bench Verified	60.0%	#9 / 13	#77 / 163
SWE-bench Lite	30.7%	#3 / 3	#46 / 80

Knowledge

Benchmark	Score	Open rank	All models
MMLU-Pro	85.0%	#6 / 119	#33 / 259

Math

Benchmark	Score	Open rank	All models
FrontierMath	22.1%	#4 / 12	#36 / 101

Reasoning

Benchmark	Score	Open rank	All models
ARC-AGI	57.0%	#3 / 10	#66 / 158

Scores aggregated from public benchmark sources (each linked from the benchmark pages). llmrun does not run these benchmarks.