LLM Comparison

Muse Spark 1.1 vs Gemini 3.1 Pro: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.1 vs Gemini 3.1 Pro comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Rank #8 vs #21AskClash overall scores 79.7 vs 54.2.
Pricing $1.25/$4.25 vs $2.00/$12.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Google.

Muse Spark 1.1 vs Gemini 3.1 Pro benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricMuse Spark 1.1Gemini 3.1 Pro
Overall Score79.754.2
Leaderboard Rank#8#21
Coding Agent Index42.7
HLE62.151.4
GPQA94.3
SWE-bench80.6
SWE-Pro61.554.2
Terminal-Bench80.068.5
OSWorld80.8
MCP Atlas88.169.2
Finance Agent57.243.0
CharXiv88.480.2
MMMU-Pro83.9
ARC-AGI 277.1
Tau299.3
MRCR54.184.9
Input Price (per 1M tokens)$1.25$2.00
Output Price (per 1M tokens)$4.25$12.0
Context Window1M1M
Benchmark Cells915

More Muse Spark 1.1 and Gemini 3.1 Pro comparisons

Explore how Muse Spark 1.1 and Gemini 3.1 Pro stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.