Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 31B
73
Muse Spark
69
Pick Gemma 4 31B if you want the stronger benchmark profile. Muse Spark only becomes the better choice if multimodal & grounded is the priority or you need the larger 262K context window.
Knowledge
+10.9 difference
Multimodal
+3.5 difference
Gemma 4 31B
Muse Spark
$0 / $0
N/A
N/A
N/A
N/A
N/A
256K
262K
Pick Gemma 4 31B if you want the stronger benchmark profile. Muse Spark only becomes the better choice if multimodal & grounded is the priority or you need the larger 262K context window.
Gemma 4 31B is clearly ahead on the provisional aggregate, 73 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 31B's sharpest advantage is in knowledge, where it averages 61.3 against 50.4. The single biggest benchmark swing on the page is HLE, 26.5% to 50.4%. Muse Spark does hit back in multimodal & grounded, 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.
Gemma 4 31B is ahead on BenchLM's provisional leaderboard, 73 to 69. 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, HLE 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 76.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
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