Head-to-head comparison across 7benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Opus 4.5
80
Kimi K2.5
68
Verified leaderboard positions: Claude Opus 4.5 #7 · Kimi K2.5 #9
Pick Claude Opus 4.5 if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if instruction following is the priority or you need the larger 256K context window.
Agentic
+7.9 difference
Coding
+1.7 difference
Reasoning
+3.4 difference
Knowledge
+1.1 difference
Multilingual
+3.4 difference
Multimodal
+7.9 difference
Inst. Following
+14.5 difference
Claude Opus 4.5
Kimi K2.5
$null / $null
$0.5 / $2.8
46 t/s
45 t/s
1.01s
2.38s
200K
256K
Pick Claude Opus 4.5 if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if instruction following is the priority or you need the larger 256K context window.
Claude Opus 4.5 is clearly ahead on the provisional aggregate, 80 to 68. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.5's sharpest advantage is in agentic, where it averages 62.5 against 54.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 59.3% to 50.8%. Kimi K2.5 does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Kimi K2.5 gives you the larger context window at 256K, compared with 200K for Claude Opus 4.5.
Claude Opus 4.5 is ahead on BenchLM's provisional leaderboard, 80 to 68. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 59.3% and 50.8%.
Claude Opus 4.5 has the edge for knowledge tasks in this comparison, averaging 66.2 versus 65.1. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for coding in this comparison, averaging 65.9 versus 64.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for reasoning in this comparison, averaging 64.4 versus 61. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for agentic tasks in this comparison, averaging 62.5 versus 54.6. Inside this category, Toolathlon is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for multimodal and grounded tasks in this comparison, averaging 78.5 versus 70.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for instruction following in this comparison, averaging 93.9 versus 79.4. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Claude Opus 4.5 has the edge for multilingual tasks in this comparison, averaging 85.7 versus 82.3. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.