Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude 4 Sonnet
52
Kimi K2.5 (Reasoning)
79
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if you need the larger 200K context window or you would rather avoid the extra latency and token burn of a reasoning model.
Coding
+4.1 difference
Claude 4 Sonnet
Kimi K2.5 (Reasoning)
$null / $null
$null / $null
40 t/s
N/A
1.33s
N/A
200K
128K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Claude 4 Sonnet only becomes the better choice if you need the larger 200K context window or you would rather avoid the extra latency and token burn of a reasoning model.
Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 79 to 52. 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 coding, where it averages 76.8 against 72.7. The single biggest benchmark swing on the page is SWE-bench Verified, 72.7% to 76.8%.
Kimi K2.5 (Reasoning) is the reasoning model in the pair, while Claude 4 Sonnet 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. Claude 4 Sonnet gives you the larger context window at 200K, compared with 128K for Kimi K2.5 (Reasoning).
Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 79 to 52. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 72.7% and 76.8%.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 72.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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