Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
MiniMax M3
76
Muse Spark
81
Verified leaderboard positions: MiniMax M3 #12 · Muse Spark unranked
Pick Muse Spark if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Agentic
+12.9 difference
Coding
+5.3 difference
Multimodal
+17.3 difference
MiniMax M3
Muse Spark
$0.3 / $1.2
N/A
N/A
N/A
N/A
N/A
1M
262K
Pick Muse Spark if you want the stronger benchmark profile. MiniMax M3 only becomes the better choice if agentic is the priority or you need the larger 1M context window.
Muse Spark is clearly ahead on the provisional aggregate, 81 to 76. 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 multimodal & grounded, where it averages 82.2 against 64.9. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 66% to 59%. MiniMax M3 does hit back in agentic, 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 MiniMax M3 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. MiniMax M3 gives you the larger context window at 1M, compared with 262K for Muse Spark.
Muse Spark is ahead on BenchLM's provisional leaderboard, 81 to 76. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 66% and 59%.
MiniMax M3 has the edge for coding in this comparison, averaging 67 versus 61.7. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
MiniMax M3 has the edge for agentic tasks in this comparison, averaging 71.9 versus 59. Inside this category, Claw-Eval 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 64.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.