Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro Deep Think
86
Kimi K2.5
68
Verified leaderboard positions: Gemini 3 Pro Deep Think unranked · Kimi K2.5 #9
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if reasoning is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Reasoning
+15.9 difference
Gemini 3 Pro Deep Think
Kimi K2.5
$null / $null
$0.5 / $2.8
N/A
45 t/s
N/A
2.38s
2M
256K
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if reasoning is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Gemini 3 Pro Deep Think is clearly ahead on the provisional aggregate, 86 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro Deep Think is the reasoning model in the pair, while Kimi K2.5 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. Gemini 3 Pro Deep Think gives you the larger context window at 2M, compared with 256K for Kimi K2.5.
Gemini 3 Pro Deep Think is ahead on BenchLM's provisional leaderboard, 86 to 68.
Kimi K2.5 has the edge for reasoning in this comparison, averaging 61 versus 45.1. Gemini 3 Pro Deep Think stays close enough that the answer can still flip depending on your workload.
Estimates at 50,000 req/day · 1000 tokens/req average.
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