Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
64
Muse Spark
82
Pick Muse Spark if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if knowledge is the priority.
Coding
+20.1 difference
Knowledge
+10.9 difference
Multimodal
+5.3 difference
Gemma 4 31B
Muse Spark
$0 / $0
N/A
N/A
N/A
N/A
N/A
256K
262K
Pick Muse Spark if you want the stronger benchmark profile. Gemma 4 31B only becomes the better choice if knowledge is the priority.
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 coding, where it averages 61.7 against 41.6. The single biggest benchmark swing on the page is HLE, 26.5% to 50.4%. Gemma 4 31B does hit back in knowledge, 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 256K for Gemma 4 31B.
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 26.5% and 50.4%.
Gemma 4 31B has the edge for knowledge tasks in this comparison, averaging 61.3 versus 50.4. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Muse Spark has the edge for coding in this comparison, averaging 61.7 versus 41.6. Inside this category, Terminal-Bench Hard 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 76.9. 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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