DeepSeek V2.5 — Benchmarks

Benchmark scores for DeepSeek V2.5 aggregated from public leaderboards, with how it ranks among open models. See hardware requirements for what you need to run it.

No overall rank for DeepSeek V2.5: an overall score is only published when a model has been measured on enough of the benchmarks current models are still submitted to. Its individual scores below stand on their own — see the methodology for how the overall score is built.

Coding

BenchmarkScoreOpen rankAll models
Aider Polyglot17.8%#13 / 18#60 / 69

Instruction Following

BenchmarkScoreOpen rankAll models
LMArena Text1307.1#96 / 182#254 / 391

Knowledge

BenchmarkScoreOpen rankAll models
MMLU-Pro65.8%#46 / 144#116 / 257

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