Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3 Pro
81
Muse Spark
81
Treat this as a split decision. Gemini 3 Pro makes more sense 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 is the better fit if reasoning is the priority or you want the stronger reasoning-first profile.
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
Treat this as a split decision. Gemini 3 Pro makes more sense 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 is the better fit if reasoning is the priority or you want the stronger reasoning-first profile.
Gemini 3 Pro and Muse Spark finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
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.
Gemini 3 Pro and Muse Spark are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
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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