LLM Comparison

Muse Spark 1.3 vs Gemini 3.1 Pro: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.3 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 #15 vs #39AskClash overall scores 58.2 vs 25.6.
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 1.3 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 1.3Gemini 3.1 Pro
Overall Score58.225.6
Leaderboard Rank#15#39
ACB55.5
RWT7.5
Coding Agent Index32.9
HLE51.4
GPQA94.3
SWE-bench80.6
SWE-Pro54.2
SWE-Atlas59.4
Terminal-Bench88.868.5
DeepSWE75.411.7
GDPval-AA1754.01317.0
MCP Atlas69.2
Finance Agent43.0
CharXiv80.2
MMMU-Pro83.9
ARC-AGI 277.1
Tau299.3
MRCR98.184.9
Input Price (per 1M tokens)$1.25$2.00
Output Price (per 1M tokens)$4.25$12.0
Context Window1M1M
Benchmarks Published616

Muse Spark 1.3 vs Gemini 3.1 Pro head-to-head charts

Muse Spark 1.3 leads 5 and Gemini 3.1 Pro leads 0 of 5 shared benchmarks. Muse Spark 1.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.3Gemini 3.1 Pro
Overall
58.2Muse Spark 1.3
25.6Gemini 3.1 Pro
Terminal-Bench
88.8Muse Spark 1.3
68.5Gemini 3.1 Pro
DeepSWE
75.4Muse Spark 1.3
11.7Gemini 3.1 Pro
GDPval-AA
1754.0Muse Spark 1.3
1317.0Gemini 3.1 Pro
MRCR
98.1Muse Spark 1.3
84.9Gemini 3.1 Pro
Muse Spark 1.3
Input$1.25
Output$4.25
Workload$2.10
Context1M
Gemini 3.1 Pro
Input$2.00
Output$12.0
Workload$4.40
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Muse Spark 1.3 and Gemini 3.1 Pro comparisons

Explore how Muse Spark 1.3 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.