Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini is clearly ahead on the aggregate, 43 to 35. 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 17. The single biggest benchmark swing on the page is HumanEval, 87.2 to 24.
Pick GPT-4o mini if you want the stronger benchmark profile. Kimi K2 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-4o mini
82
Kimi K2
28.8
GPT-4o mini
87.2
Kimi K2
17
GPT-4o mini
87
Kimi K2
61
GPT-4o mini is ahead overall, 43 to 35. The biggest single separator in this matchup is HumanEval, where the scores are 87.2 and 24.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 28.8. 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 17. 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 61. 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.