Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3.5 Flash
88
Kimi K2.6
85
Verified leaderboard positions: Gemini 3.5 Flash #7 · Kimi K2.6 #8
Pick Gemini 3.5 Flash if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+4.1 difference
Coding
+17.5 difference
Knowledge
+4.2 difference
Multimodal
+4.1 difference
Gemini 3.5 Flash
Kimi K2.6
$1.5 / $9
$0.95 / $4
284.2 t/s
N/A
18.55s
N/A
1M
256K
Pick Gemini 3.5 Flash if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Gemini 3.5 Flash has the cleaner provisional overall profile here, landing at 88 versus 85. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Gemini 3.5 Flash's sharpest advantage is in knowledge, where it averages 58 against 53.8. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 76.2% to 66.7%. Kimi K2.6 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Gemini 3.5 Flash is also the more expensive model on tokens at $1.50 input / $9.00 output per 1M tokens, versus $0.95 input / $4.00 output per 1M tokens for Kimi K2.6. That is roughly 2.3x on output cost alone. Gemini 3.5 Flash gives you the larger context window at 1M, compared with 256K for Kimi K2.6.
Gemini 3.5 Flash is ahead on BenchLM's provisional leaderboard, 88 to 85. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 76.2% and 66.7%.
Gemini 3.5 Flash has the edge for knowledge tasks in this comparison, averaging 58 versus 53.8. Inside this category, HLE is the benchmark that creates the most daylight between them.
Kimi K2.6 has the edge for coding in this comparison, averaging 72 versus 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Gemini 3.5 Flash has the edge for agentic tasks in this comparison, averaging 77.2 versus 73.1. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
Gemini 3.5 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 83.8 versus 79.7. 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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