Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 12B
53
Kimi K2.5 (Reasoning)
76
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if you need the larger 256K context window.
Coding
+4.8 difference
Knowledge
+9.5 difference
Multimodal
+9.4 difference
Gemma 4 12B
Kimi K2.5 (Reasoning)
N/A
$0.6 / $3
N/A
N/A
N/A
N/A
256K
128K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if you need the larger 256K context window.
Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 76 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 (Reasoning)'s sharpest advantage is in knowledge, where it averages 87.3 against 77.8. The single biggest benchmark swing on the page is MMLU-Pro, 77.2% to 87.1%.
Gemma 4 12B gives you the larger context window at 256K, compared with 128K for Kimi K2.5 (Reasoning).
Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 76 to 53. The biggest single separator in this matchup is MMLU-Pro, where the scores are 77.2% and 87.1%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 77.8. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 72. Gemma 4 12B stays close enough that the answer can still flip depending on your workload.
Kimi K2.5 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 78.5 versus 69.1. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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