Model Comparison
Gemini 3.1 Pro vs Muse Spark
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro outperforms in 7 benchmarks (ARC-AGI v2, GPQA, LiveCodeBench Pro, MMMU-Pro, SWE-Bench Pro, SWE-Bench Verified, Terminal-Bench 2.0), while Muse Spark is better at 2 benchmarks (GDPval-AA, Humanity's Last Exam).
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Context Window
Maximum input and output token capacity
Only Gemini 3.1 Pro specifies input context (1,048,576 tokens). Only Gemini 3.1 Pro specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Both Gemini 3.1 Pro and Muse Spark support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
Muse Spark
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while Muse Spark was released on 2026-04-08.
Muse Spark is 2 months newer than Gemini 3.1 Pro.
Feb 19, 2026
1 months ago
Apr 8, 2026
1 days ago
1mo newerKnowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Muse Spark's cutoff date is not specified.
We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Muse Spark's cutoff date.
Jan 2025
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Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 3.1 Pro vs Muse Spark