Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeekMath V2 is clearly ahead on the aggregate, 71 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeekMath V2 is the reasoning model in the pair, while GPT-4o mini is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick DeepSeekMath V2 if you want the stronger benchmark profile. GPT-4o mini only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
DeepSeekMath V2
67.2
GPT-4o mini
82
DeepSeekMath V2
53.7
GPT-4o mini
87.2
DeepSeekMath V2
87
GPT-4o mini
87
DeepSeekMath V2 is ahead overall, 71 to 43. The biggest single separator in this matchup is HumanEval, where the scores are 72 and 87.2.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 67.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for coding in this comparison, averaging 87.2 versus 53.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeekMath V2 and GPT-4o mini are effectively tied for multilingual tasks here, both landing at 87 on average.
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