LLM Comparison

Muse Spark 1.1 vs Gemini 3.6 Flash: benchmark scores, pricing & comparison.

Side-by-side Muse Spark 1.1 vs Gemini 3.6 Flash 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 #17AskClash overall scores 78.2 vs 62.9.
Pricing $1.25/$4.25 vs $1.50/$7.50Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs Google.

Muse Spark 1.1 vs Gemini 3.6 Flash benchmark comparison

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

MetricMuse Spark 1.1Gemini 3.6 Flash
Overall Score78.262.9
Leaderboard Rank#6#17
RWT7.5
HLE62.138.0
GPQA92.8
SWE-Pro61.558.7
Terminal-Bench80.078.0
DeepSWE49.0
OSWorld80.883.0
MCP Atlas88.1
Finance Agent57.2
CharXiv88.485.2
MMMU-Pro83.2
MRCR54.191.8
Input Price (per 1M tokens)$1.25$1.50
Output Price (per 1M tokens)$4.25$7.50
Context Window1M1M
Benchmarks Published911

Muse Spark 1.1 vs Gemini 3.6 Flash head-to-head charts

Muse Spark 1.1 leads 5 and Gemini 3.6 Flash leads 2 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.

Muse Spark 1.1Gemini 3.6 Flash
Overall
78.2Muse Spark 1.1
62.9Gemini 3.6 Flash
HLE
62.1Muse Spark 1.1
38.0Gemini 3.6 Flash
SWE-Pro
61.5Muse Spark 1.1
58.7Gemini 3.6 Flash
Terminal-Bench
80.0Muse Spark 1.1
78.0Gemini 3.6 Flash
OSWorld
80.8Muse Spark 1.1
83.0Gemini 3.6 Flash
CharXiv
88.4Muse Spark 1.1
85.2Gemini 3.6 Flash
MRCR
54.1Muse Spark 1.1
91.8Gemini 3.6 Flash
Muse Spark 1.1
Input$1.25
Output$4.25
Workload$2.10
Context1M
Gemini 3.6 Flash
Input$1.50
Output$7.50
Workload$3.00
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 3.6 Flash comparisons

Explore how Muse Spark 1.1 and Gemini 3.6 Flash 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.