Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiMo-V2.5-Pro
82
Muse Spark
83
Pick Muse Spark if you want the stronger benchmark profile. MiMo-V2.5-Pro only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Agentic
+9.4 difference
Coding
+4.5 difference
Knowledge
+2.4 difference
MiMo-V2.5-Pro
Muse Spark
$1 / $3
N/A
N/A
N/A
N/A
N/A
1M
262K
Pick Muse Spark if you want the stronger benchmark profile. MiMo-V2.5-Pro only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Muse Spark finishes one point ahead on BenchLM's provisional leaderboard, 83 to 82. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
Muse Spark's sharpest advantage is in coding, where it averages 61.7 against 57.2. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 68.4% to 59%. MiMo-V2.5-Pro does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
MiMo-V2.5-Pro gives you the larger context window at 1M, compared with 262K for Muse Spark.
Muse Spark is ahead on BenchLM's provisional leaderboard, 83 to 82. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 68.4% and 59%.
Muse Spark has the edge for knowledge tasks in this comparison, averaging 50.4 versus 48. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Muse Spark has the edge for coding in this comparison, averaging 61.7 versus 57.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MiMo-V2.5-Pro has the edge for agentic tasks in this comparison, averaging 68.4 versus 59. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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