Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
Gemini 3 Flash is clearly ahead on the aggregate, 65 to 43. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Flash is also the more expensive model on tokens at $0.50 input / $3.00 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for GPT-4o mini. That is roughly 5.0x on output cost alone. Gemini 3 Flash gives you the larger context window at 1M, compared with 128K for GPT-4o mini.
Pick Gemini 3 Flash if you want the stronger benchmark profile. GPT-4o mini only becomes the better choice if coding is the priority or you want the cheaper token bill.
Gemini 3 Flash
58.2
GPT-4o mini
82
Gemini 3 Flash
47.3
GPT-4o mini
87.2
Gemini 3 Flash
85
GPT-4o mini
87
Gemini 3 Flash is ahead overall, 65 to 43. The biggest single separator in this matchup is HumanEval, where the scores are 62 and 87.2.
GPT-4o mini has the edge for knowledge tasks in this comparison, averaging 82 versus 58.2. 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 47.3. 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 85. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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