Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
65
Kimi K2.6
84
Verified leaderboard positions: Gemma 4 31B unranked · Kimi K2.6 #6
Pick Kimi K2.6 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Coding
+30.4 difference
Knowledge
+7.5 difference
Multimodal
+2.8 difference
Gemma 4 31B
Kimi K2.6
$0 / $0
$0.95 / $4
N/A
N/A
N/A
N/A
256K
256K
Pick Kimi K2.6 if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Kimi K2.6 is clearly ahead on the provisional aggregate, 84 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.6's sharpest advantage is in coding, where it averages 72 against 41.6. The single biggest benchmark swing on the page is HLE, 26.5% to 34.7%. Gemma 4 31B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Kimi K2.6 is also the more expensive model on tokens at $0.95 input / $4.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 31B. That is roughly Infinityx on output cost alone.
Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 84 to 65. The biggest single separator in this matchup is HLE, where the scores are 26.5% and 34.7%.
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 61.3 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 41.6. Gemma 4 31B stays close enough that the answer can still flip depending on your workload.
Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.7 versus 76.9. 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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