Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
81
Muse Spark
82
Pick Muse Spark if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if you need the larger 2M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Reasoning
+11.4 difference
Multimodal
+1.1 difference
Gemini 3 Pro
Muse Spark
$2 / $12
N/A
109 t/s
N/A
32.65s
N/A
2M
262K
Pick Muse Spark if you want the stronger benchmark profile. Gemini 3 Pro only becomes the better choice if you need the larger 2M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Muse Spark finishes one point ahead on BenchLM's provisional leaderboard, 82 to 81. 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 reasoning, where it averages 42.5 against 31.1. The single biggest benchmark swing on the page is ARC-AGI-2, 31.1% to 42.5%.
Muse Spark is the reasoning model in the pair, while Gemini 3 Pro 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. Gemini 3 Pro gives you the larger context window at 2M, compared with 262K for Muse Spark.
Muse Spark is ahead on BenchLM's provisional leaderboard, 82 to 81. The biggest single separator in this matchup is ARC-AGI-2, where the scores are 31.1% and 42.5%.
Muse Spark has the edge for reasoning in this comparison, averaging 42.5 versus 31.1. Inside this category, ARC-AGI-2 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 81.1. Inside this category, ScreenSpot Pro is the benchmark that creates the most daylight between them.
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