Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3.1 Pro
85
Muse Spark
69
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Muse Spark only becomes the better choice if you want the stronger reasoning-first profile.
Reasoning
+34.6 difference
Multimodal
+3.5 difference
Gemini 3.1 Pro
Muse Spark
$1.25 / $5
N/A
109 t/s
N/A
29.71s
N/A
1M
262K
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Muse Spark only becomes the better choice if you want the stronger reasoning-first profile.
Gemini 3.1 Pro is clearly ahead on the provisional aggregate, 85 to 69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.1 Pro's sharpest advantage is in reasoning, where it averages 77.1 against 42.5. The single biggest benchmark swing on the page is GDPval-AA, 1320 to 1444.
Muse Spark is the reasoning model in the pair, while Gemini 3.1 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 3.1 Pro gives you the larger context window at 1M, compared with 262K for Muse Spark.
Gemini 3.1 Pro is ahead on BenchLM's provisional leaderboard, 85 to 69. The biggest single separator in this matchup is GDPval-AA, where the scores are 1320 and 1444.
Gemini 3.1 Pro has the edge for reasoning in this comparison, averaging 77.1 versus 42.5. Inside this category, ARC-AGI-2 is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 83.9 versus 80.4. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.