Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeek LLM 2.0 is clearly ahead on the aggregate, 70 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Pick DeepSeek LLM 2.0 if you want the stronger benchmark profile. GPT-4o mini only becomes the better choice if coding is the priority.
DeepSeek LLM 2.0
65.2
GPT-4o mini
82
DeepSeek LLM 2.0
52.7
GPT-4o mini
87.2
DeepSeek LLM 2.0
82
GPT-4o mini
87
DeepSeek LLM 2.0 is ahead overall, 70 to 43. The biggest single separator in this matchup is HumanEval, where the scores are 73 and 87.2.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 65.2. 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 52.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-4o mini has the edge for multilingual tasks in this comparison, averaging 87 versus 82. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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