LLM Comparison

Gemini 3.7 Flash vs Muse Spark 1.1: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.7 Flash vs Muse Spark 1.1 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 #12 vs #14AskClash overall scores 69.1 vs 65.0.
Pricing $1.50/$7.50 vs $1.25/$4.25Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryGoogle vs Meta.

Gemini 3.7 Flash vs Muse Spark 1.1 benchmark comparison

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

MetricGemini 3.7 FlashMuse Spark 1.1
Overall Score69.165.0
Leaderboard Rank#12#14
ACB38.951.3
RWT7.5
HLE53.662.1
GPQA94.5
SWE-Pro61.5
Terminal-Bench85.880.0
DeepSWE65.353.3
OSWorld80.8
MCP Atlas88.1
Finance Agent57.2
CharXiv84.588.4
MMMU-Pro85.5
MRCR97.054.1
Input Price (per 1M tokens)$1.50$1.25
Output Price (per 1M tokens)$7.50$4.25
Context Window1M1M
Benchmarks Published1012

Gemini 3.7 Flash vs Muse Spark 1.1 head-to-head charts

Gemini 3.7 Flash leads 4 and Muse Spark 1.1 leads 3 of 7 shared benchmarks. Muse Spark 1.1 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.7 FlashMuse Spark 1.1
Overall
69.1Gemini 3.7 Flash
65.0Muse Spark 1.1
ACB
38.9Gemini 3.7 Flash
51.3Muse Spark 1.1
HLE
53.6Gemini 3.7 Flash
62.1Muse Spark 1.1
Terminal-Bench
85.8Gemini 3.7 Flash
80.0Muse Spark 1.1
DeepSWE
65.3Gemini 3.7 Flash
53.3Muse Spark 1.1
CharXiv
84.5Gemini 3.7 Flash
88.4Muse Spark 1.1
MRCR
97.0Gemini 3.7 Flash
54.1Muse Spark 1.1
Gemini 3.7 Flash
Input$1.50
Output$7.50
Workload$3.00
Context1M
Muse Spark 1.1
Input$1.25
Output$4.25
Workload$2.10
Context1M

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

More Gemini 3.7 Flash and Muse Spark 1.1 comparisons

Explore how Gemini 3.7 Flash and Muse Spark 1.1 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.