Google Gemini 3.1 Pro VS Meta Muse Spark 1.1
Decision Recommendation
⚖️ Editorial Verdict: In our analysis, Muse Spark 1.1 is the premium intelligence choice, scoring 7.3% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 3.1 Pro offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Muse Spark 1.1 fully justifies the cost.
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Model Specs
Gemini 3.1 Pro
Benchmarks & Scores
Coding (swe-bench-pro)
54.2%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)Winner (+3.1%)
94.3%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)
$4.50Input: $2.00 | Output: $12.00Context Window
1M tokensModel Specs
Muse Spark 1.1
Benchmarks & Scores
Coding (swe-bench-pro)Winner (+7.3%)
61.5%excellent at multi-file repositories, autonomous agents, and industrial codebases
Reasoning (gpqa-diamond)
91.16%graduate-level science QA
Cost & Performance
Cost (per 1M tokens)2.3x cheaper
$2.00Input: $1.25 | Output: $4.25Context WindowLarger
1.05M tokensFrequently Asked Questions about Gemini 3.1 Pro vs Muse Spark 1.1 comparison
Muse Spark 1.1 is cheaper than Gemini 3.1 Pro. Muse Spark 1.1 has a blended cost of $2.00/1M tokens, which is about 2.3x cheaper than Gemini 3.1 Pro at $4.50/1M tokens.
Muse Spark 1.1 is better for coding tasks on this benchmark. It scores 61.5% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases) compared to Gemini 3.1 Pro which scores 54.2%.
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