Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
83
Kimi K2.5
68
Verified leaderboard positions: Gemini 3 Pro unranked · Kimi K2.5 #9
Pick Gemini 3 Pro if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if reasoning is the priority.
Reasoning
+29.9 difference
Multimodal
+2.5 difference
Gemini 3 Pro
Kimi K2.5
$null / $null
$0.5 / $2.8
109 t/s
45 t/s
32.65s
2.38s
2M
256K
Pick Gemini 3 Pro if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if reasoning is the priority.
Gemini 3 Pro is clearly ahead on the provisional aggregate, 83 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in multimodal & grounded, where it averages 81 against 78.5. The single biggest benchmark swing on the page is MMMU-Pro, 81% to 78.5%. Kimi K2.5 does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Gemini 3 Pro gives you the larger context window at 2M, compared with 256K for Kimi K2.5.
Gemini 3 Pro is ahead on BenchLM's provisional leaderboard, 83 to 68. The biggest single separator in this matchup is MMMU-Pro, where the scores are 81% and 78.5%.
Kimi K2.5 has the edge for reasoning in this comparison, averaging 61 versus 31.1. Gemini 3 Pro stays close enough that the answer can still flip depending on your workload.
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 81 versus 78.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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