Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
81
Kimi K2.6
85
Verified leaderboard positions: Gemini 3 Pro unranked · Kimi K2.6 #9
Pick Kimi K2.6 if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if multimodal & grounded is the priority or you need the larger 2M context window.
Multimodal
+1.4 difference
Gemini 3 Pro
Kimi K2.6
$2 / $12
$0.95 / $4
109 t/s
N/A
32.65s
N/A
2M
256K
Pick Kimi K2.6 if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if multimodal & grounded is the priority or you need the larger 2M context window.
Kimi K2.6 is clearly ahead on the provisional aggregate, 85 to 81. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro is also the more expensive model on tokens at $2.00 input / $12.00 output per 1M tokens, versus $0.95 input / $4.00 output per 1M tokens for Kimi K2.6. That is roughly 3.0x on output cost alone. Kimi K2.6 is the reasoning model in the pair, while Gemini 3 Pro 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 gives you the larger context window at 2M, compared with 256K for Kimi K2.6.
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 85 to 81. The biggest single separator in this matchup is MMMU-Pro, where the scores are 81% and 79.4%.
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 81.1 versus 79.7. Inside this category, V* is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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