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Google Gemma 4 31B VS Meta Muse Spark 1.1

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Gemma 4 31B is the premium intelligence choice, scoring 18.5% 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, Muse Spark 1.1 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Gemma 4 31B fully justifies the cost.
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Model Specs

Gemma 4 31B

Benchmarks & Scores

Coding (live-code-bench)
80%

good at single-file apps, building games & UIs, and scripting new logic

Reasoning (gpqa-diamond)
84.3%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Context Window
262.14k tokens
Model Specs

Muse Spark 1.1

Benchmarks & Scores

Coding (swe-bench-pro)
61.5%

excellent at multi-file repositories, autonomous agents, and industrial codebases

Reasoning (gpqa-diamond)Winner (+6.9%)
91.16%

graduate-level science QA

Cost & Performance

Cost (per 1M tokens)
$2.00Input: $1.25 | Output: $4.25
Context WindowLarger
1.05M tokens

Frequently Asked Questions about Gemma 4 31B vs Muse Spark 1.1 comparison

For coding tasks, Gemma 4 31B scores 80% on live-code-bench (good at single-file apps, building games & UIs, and scripting new logic), while Muse Spark 1.1 scores 61.5% on swe-bench-pro (excellent at multi-file repositories, autonomous agents, and industrial codebases).