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Gemini 3.1 Pro vs Muse Spark

Gemini 3.1 Pro (Google DeepMind) and Muse Spark (Meta AI) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.1 ProGoogle DeepMind · 3 in the newsMuse SparkMeta AI · 2 in the news
Scores
Intelligence (ECI)155153
Coding5973
Math7163
Reasoning & Knowledge9378
Agentic & Tools7961
Specifications
DeveloperGoogle DeepMindMeta AI
FamilyGemini
ReleasedFeb 19, 2026Apr 8, 2026
Parameters
AvailabilityAPI accessAPI access
Context window
Price — $/M input
Price — $/M output
Inputs
Outputs
Benchmarks
AIME 2024/202596%89%
APEX34%
ARC-AGI98%
ARC-AGI-277%
FrontierMath37%39%
FrontierMath Tier 417%15%
GPQA Diamond94%90%
GSO (code optimization)23%
Humanity's Last Exam46%41%
METR task horizon6.4 h
SimpleBench80%
SimpleQA Verified77%66%
SWE-bench Verified76%
Terminal-Bench80%
WebDev Arena14611513
WeirdML72%
SciCode52%
τ²-bench92%

Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.

Frequently asked questions

Is Gemini 3.1 Pro better than Muse Spark?

On Epoch AI's Capabilities Index, Gemini 3.1 Pro scores higher (155) than Muse Spark (153). The right pick depends on your task — compare their coding, math, and reasoning scores in the table above.

Which is better for coding, Gemini 3.1 Pro or Muse Spark?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Muse Spark ranks higher — 73th vs 59th percentile among the models tracked on Model Beat.

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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.