Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5 (Reasoning)
76
Muse Spark
69
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Muse Spark only becomes the better choice if agentic is the priority or you need the larger 262K context window.
Agentic
+4.4 difference
Coding
+15.1 difference
Knowledge
+36.9 difference
Multimodal
+1.9 difference
Kimi K2.5 (Reasoning)
Muse Spark
$null / $null
N/A
N/A
N/A
N/A
N/A
128K
262K
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Muse Spark only becomes the better choice if agentic is the priority or you need the larger 262K context window.
Kimi K2.5 (Reasoning) is clearly ahead on the provisional aggregate, 76 to 69. 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 50.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 50.8% to 59%. Muse Spark does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Muse Spark gives you the larger context window at 262K, compared with 128K for Kimi K2.5 (Reasoning).
Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 76 to 69. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 50.8% and 59%.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.3 versus 50.4. Muse Spark stays close enough that the answer can still flip depending on your workload.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 61.7. Inside this category, SWE-bench Verified 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, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 80.4 versus 78.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.