Head-to-head comparison across 5benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5
64
Muse Spark
82
Verified leaderboard positions: Kimi K2.5 #13 · Muse Spark unranked
Pick Muse Spark if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if reasoning is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Agentic
+4.4 difference
Coding
+2.5 difference
Reasoning
+18.5 difference
Knowledge
+14.7 difference
Multimodal
+3.7 difference
Kimi K2.5
Muse Spark
$0.6 / $3
N/A
45 t/s
N/A
2.38s
N/A
256K
262K
Pick Muse Spark if you want the stronger benchmark profile. Kimi K2.5 only becomes the better choice if reasoning is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Muse Spark is clearly ahead on the provisional aggregate, 82 to 64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Muse Spark's sharpest advantage is in agentic, where it averages 59 against 54.6. The single biggest benchmark swing on the page is HLE, 30.1% to 50.4%. Kimi K2.5 does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Muse Spark is the reasoning model in the pair, while Kimi K2.5 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. Muse Spark gives you the larger context window at 262K, compared with 256K for Kimi K2.5.
Muse Spark is ahead on BenchLM's provisional leaderboard, 82 to 64. The biggest single separator in this matchup is HLE, where the scores are 30.1% and 50.4%.
Kimi K2.5 has the edge for knowledge tasks in this comparison, averaging 65.1 versus 50.4. Inside this category, HLE is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for coding in this comparison, averaging 64.2 versus 61.7. Inside this category, Terminal-Bench Hard is the benchmark that creates the most daylight between them.
Kimi K2.5 has the edge for reasoning in this comparison, averaging 61 versus 42.5. Inside this category, CritPt is the benchmark that creates the most daylight between them.
Muse Spark has the edge for agentic tasks in this comparison, averaging 59 versus 54.6. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.2 versus 78.5. Inside this category, AA-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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