Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
GPT-4o mini finishes one point ahead overall, 43 to 42. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GPT-4o mini's sharpest advantage is in coding, where it averages 87.2 against 22.7. The single biggest benchmark swing on the page is HumanEval, 87.2 to 37.
GPT-4o mini gives you the larger context window at 128K, compared with 32K for Gemma 3 27B.
Pick GPT-4o mini if you want the stronger benchmark profile. Gemma 3 27B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-4o mini
82
Gemma 3 27B
37.3
GPT-4o mini
87.2
Gemma 3 27B
22.7
GPT-4o mini
87
Gemma 3 27B
64
GPT-4o mini is ahead overall, 43 to 42. The biggest single separator in this matchup is HumanEval, where the scores are 87.2 and 37.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 37.3. 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 22.7. 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.
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