DeepSeek Coder v2 Instruct — Benchmarks
Benchmark scores for DeepSeek Coder v2 Instruct aggregated from public leaderboards (3 boards), with how it ranks among open models and how it compares with its nearest neighbours. See hardware requirements for what you need to run it.
No llmrun Composite Score for DeepSeek Coder v2 Instruct: the score is only published for a model measured on at least 4 of the boards in the score panel, spanning at least 2 benchmark categories and including a reasoning or coding board — or on 3 boards that narrow its score to a 90% range of at most 15.6 points. Either way the results must come from at least two different benchmarks. Its individual scores below stand on their own — see how the llmrun Composite Score gets calculated.
DeepSeek Coder v2 Instruct math benchmarks
Symbolic and quantitative problem-solving, from competition math to multi-step calculation.
DeepSeek Coder v2 Instruct knowledge benchmarks
Breadth and depth of factual knowledge across many subjects, paired with the reasoning to apply it.
DeepSeek Coder v2 Instruct instruction following benchmarks
How precisely a model obeys explicit, verifiable instructions — format, length, and content constraints — and, more broadly, how much people prefer its responses head-to-head in blind human voting.
1265.4
1265.4
median 1321.4open leader 1488.2
Overall best: Gemini 4 Carbon (High) 1527.5
33rd percentile · #126 of 188 open · #307 of 408 all
ArenaArena ·
Scores aggregated from public benchmark sources (Epoch AI: 1 board, Arena: 1 board, TIGER-Lab: 1 board) — each linked from the benchmark pages. llmrun does not run these benchmarks. Percentiles and ranks are among open models in the llmrun catalogue; the median and leader marks refer to the same field.