Head-to-head comparison across 4benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemma 4 12B
53
Muse Spark
81
Pick Muse Spark if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if knowledge is the priority.
Coding
+10.3 difference
Reasoning
+0.9 difference
Knowledge
+27.4 difference
Multimodal
+13.1 difference
Gemma 4 12B
Muse Spark
N/A
N/A
N/A
N/A
N/A
N/A
256K
262K
Pick Muse Spark if you want the stronger benchmark profile. Gemma 4 12B only becomes the better choice if knowledge is the priority.
Muse Spark is clearly ahead on the provisional aggregate, 81 to 53. 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 69.1. The single biggest benchmark swing on the page is MMMU-Pro, 69.1% to 80.4%. Gemma 4 12B 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 12B.
Muse Spark is ahead on BenchLM's provisional leaderboard, 81 to 53. The biggest single separator in this matchup is MMMU-Pro, where the scores are 69.1% and 80.4%.
Gemma 4 12B has the edge for knowledge tasks in this comparison, averaging 77.8 versus 50.4. Inside this category, HLE w/o tools is the benchmark that creates the most daylight between them.
Gemma 4 12B has the edge for coding in this comparison, averaging 72 versus 61.7. Muse Spark stays close enough that the answer can still flip depending on your workload.
Gemma 4 12B has the edge for reasoning in this comparison, averaging 43.4 versus 42.5. Muse Spark stays close enough that the answer can still flip depending on your workload.
Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.2 versus 69.1. Inside this category, MedXpertQA (MM) is the benchmark that creates the most daylight between them.
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