Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini is clearly ahead on the aggregate, 43 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4o mini's sharpest advantage is in coding, where it averages 87.2 against 18.7. The single biggest benchmark swing on the page is HumanEval, 87.2 to 26.
DeepSeek V3.1 (Reasoning) 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 GPT-4o mini if you want the stronger benchmark profile. DeepSeek V3.1 (Reasoning) only becomes the better choice if you want the stronger reasoning-first profile.
GPT-4o mini
82
DeepSeek V3.1 (Reasoning)
31.7
GPT-4o mini
87.2
DeepSeek V3.1 (Reasoning)
18.7
GPT-4o mini
87
DeepSeek V3.1 (Reasoning)
64
GPT-4o mini is ahead overall, 43 to 37. The biggest single separator in this matchup is HumanEval, where the scores are 87.2 and 26.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 31.7. 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 18.7. 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 64. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.