LLM Comparison

Muse Spark 1.1 vs Gemini 3.5 Flash-Lite: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.1 vs Gemini 3.5 Flash-Lite 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 #6 vs #61AskClash overall scores 78.2 vs 14.2.
Pricing $1.25/$4.25 vs $0.30/$2.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Google.

Muse Spark 1.1 vs Gemini 3.5 Flash-Lite benchmark comparison

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

MetricMuse Spark 1.1Gemini 3.5 Flash-Lite
Overall Score78.214.2
Leaderboard Rank#6#61
RWT7.57.0
HLE62.1
SWE-Pro61.554.2
Terminal-Bench80.054.0
OSWorld80.874.0
MCP Atlas88.1
Finance Agent57.2
CharXiv88.4
MRCR54.172.2
Input Price (per 1M tokens)$1.25$0.30
Output Price (per 1M tokens)$4.25$2.50
Context Window1M1M
Benchmarks Published96

Muse Spark 1.1 vs Gemini 3.5 Flash-Lite head-to-head charts

Muse Spark 1.1 leads 5 and Gemini 3.5 Flash-Lite leads 1 of 6 shared benchmarks. Gemini 3.5 Flash-Lite is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Muse Spark 1.1Gemini 3.5 Flash-Lite
Overall
78.2Muse Spark 1.1
14.2Gemini 3.5 Flash-Lite
RWT
7.5Muse Spark 1.1
7.0Gemini 3.5 Flash-Lite
SWE-Pro
61.5Muse Spark 1.1
54.2Gemini 3.5 Flash-Lite
Terminal-Bench
80.0Muse Spark 1.1
54.0Gemini 3.5 Flash-Lite
OSWorld
80.8Muse Spark 1.1
74.0Gemini 3.5 Flash-Lite
MRCR
54.1Muse Spark 1.1
72.2Gemini 3.5 Flash-Lite
Muse Spark 1.1
Input$1.25
Output$4.25
Workload$2.10
Context1M
Gemini 3.5 Flash-Lite
Input$0.30
Output$2.50
Workload$0.80
Context1M

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

More Muse Spark 1.1 and Gemini 3.5 Flash-Lite comparisons

Explore how Muse Spark 1.1 and Gemini 3.5 Flash-Lite 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.