Head-to-head comparison across 5benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Kimi K2.5
69
Muse Spark
69
Verified leaderboard positions: Kimi K2.5 #11 · Muse Spark unranked
Treat this as a split decision. Kimi K2.5 makes more sense if reasoning is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Muse Spark is the better fit if agentic is the priority or you need the larger 262K context window.
Agentic
+4.4 difference
Coding
+2.7 difference
Reasoning
+18.5 difference
Knowledge
+14.7 difference
Multimodal
+1.9 difference
Kimi K2.5
Muse Spark
$0.5 / $2.8
N/A
45 t/s
N/A
2.38s
N/A
128K
262K
Treat this as a split decision. Kimi K2.5 makes more sense if reasoning is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Muse Spark is the better fit if agentic is the priority or you need the larger 262K context window.
Kimi K2.5 and Muse Spark finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
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 128K for Kimi K2.5.
Kimi K2.5 and Muse Spark are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
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.
Muse Spark has the edge for coding in this comparison, averaging 61.7 versus 59. Inside this category, SWE-bench Pro 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. Muse Spark stays close enough that the answer can still flip depending on your workload.
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.
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