DeepSeek v2 Chat — Benchmarks
Benchmark scores for DeepSeek v2 Chat aggregated from public leaderboards (1 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 v2 Chat: 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. Its individual scores below stand on their own — see how the llmrun Composite Score gets calculated.
DeepSeek v2 Chat knowledge benchmarks
Breadth and depth of factual knowledge across many subjects, paired with the reasoning to apply it.
Scores aggregated from public benchmark sources (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.