Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.7
93
Kimi K2.5
68
Verified leaderboard positions: Claude Opus 4.7 #2 · Kimi K2.5 #11
Pick Claude Opus 4.7 if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if you want the cheaper token bill.
Agentic
+20.3 difference
Coding
+13.9 difference
Knowledge
+3.1 difference
Claude Opus 4.7
Kimi K2.5
$5 / $25
$0.5 / $2.8
N/A
45 t/s
N/A
2.38s
1M
128K
Pick Claude Opus 4.7 if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if you want the cheaper token bill.
Claude Opus 4.7 is clearly ahead on the provisional aggregate, 93 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.7's sharpest advantage is in agentic, where it averages 74.9 against 54.6. The single biggest benchmark swing on the page is MCP Atlas, 77.3% to 29.5%.
Claude Opus 4.7 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.50 input / $2.80 output per 1M tokens for Kimi K2.5. That is roughly 8.9x on output cost alone. Claude Opus 4.7 gives you the larger context window at 1M, compared with 128K for Kimi K2.5.
Claude Opus 4.7 is ahead on BenchLM's provisional leaderboard, 93 to 68. The biggest single separator in this matchup is MCP Atlas, where the scores are 77.3% and 29.5%.
Claude Opus 4.7 has the edge for knowledge tasks in this comparison, averaging 68.2 versus 65.1. Inside this category, HLE is the benchmark that creates the most daylight between them.
Claude Opus 4.7 has the edge for coding in this comparison, averaging 72.9 versus 59. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Claude Opus 4.7 has the edge for agentic tasks in this comparison, averaging 74.9 versus 54.6. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.
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