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Gemini 3.7 Flash vs Muse Spark

Gemini 3.7 Flash (Google DeepMind) and Muse Spark (Meta AI) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeGemini 3.7 FlashGoogle DeepMind · 1 in the newsMuse SparkMeta AI · 3 in the news
Scores
Intelligence (ECI)157152
Coding9167
Math8062
Reasoning & Knowledge8576
Agentic & Tools9859
Specifications
DeveloperGoogle DeepMindMeta AI
FamilyGemini
ReleasedAug 13, 2026Apr 8, 2026
Parameters
AvailabilityAPI accessAPI access
Context window1M
Price — $/M input$0.75
Price — $/M output$3.75
Inputstext, image, video, file, audio
Outputstext
Benchmarks
AIME 2024/202597%89%
APEX68%
ARC-AGI96%
ARC-AGI-285%
GPQA Diamond95%90%
Humanity's Last Exam39%41%
SciCode60%52%
SimpleQA Verified69%66%
WebDev Arena15871513
FrontierMath39%
FrontierMath Tier 415%
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 3.7 Flash better than Muse Spark?

On Epoch AI's Capabilities Index, Gemini 3.7 Flash scores higher (157) than Muse Spark (152). The right pick depends on your task — compare their coding, math, and reasoning scores in the table above.

Which is better for coding, Gemini 3.7 Flash or Muse Spark?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Gemini 3.7 Flash ranks higher — 91th vs 67th percentile among the models tracked on Model Beat.

Want a different match-up? Open the compare tool to add or swap models.

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