Which is better: Gemini 3.7 Flash or Muse Spark 1.2?

Verdict: Gemini 3.7 Flash ranks higher (#26 vs #31) and wins 4 of 6 shared benchmarks; Muse Spark 1.2 costs less ($1.25/$4.25 vs $1.50/$7.50 per 1M tokens). AskClash compares Gemini 3.7 Flash and Muse Spark 1.2 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

How do Gemini 3.7 Flash and Muse Spark 1.2 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Gemini 3.7 Flash and Muse Spark 1.2 when publicly disclosed.

LLM Comparison

Gemini 3.7 Flash vs Muse Spark 1.2: benchmark scores, pricing & comparison.

Side-by-side Gemini 3.7 Flash vs Muse Spark 1.2 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.

Verdict: Gemini 3.7 Flash ranks higher (#26 vs #31) and wins 4 of 6 shared benchmarks; Muse Spark 1.2 costs less ($1.25/$4.25 vs $1.50/$7.50 per 1M tokens).

Open live leaderboard Gemini 3.7 Flash model page Muse Spark 1.2 model page

Rank #26 vs #31AskClash overall scores 59.5 vs 55.9.

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 1.2 benchmark comparison

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

Metric	Gemini 3.7 Flash	Muse Spark 1.2
Overall Score	59.5	55.9
Leaderboard Rank	#26	#31
ACB	38.9	54.8
RWT	—	7.5
HLE	53.6	45.5
GPQA	94.5	90.4
Terminal-Bench	85.8	—
DeepSWE	65.3	59.0
GDPval-AA	1525.0	1481.6
MCP Atlas	—	82.2
Finance Agent	59.0	60.6
CharXiv	84.5	—
MMMU-Pro	85.5	—
ARC-AGI 2	84.6	—
MRCR	97.0	—
Input Price (per 1M tokens)	$1.50	$1.25
Output Price (per 1M tokens)	$7.50	$4.25
Context Window	1M	1M
Benchmarks Published	13	10

Gemini 3.7 Flash vs Muse Spark 1.2 head-to-head charts

Gemini 3.7 Flash leads 5 and Muse Spark 1.2 leads 2 of 7 shared benchmarks. Muse Spark 1.2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Gemini 3.7 FlashMuse Spark 1.2

Overall

59.5Gemini 3.7 Flash

55.9Muse Spark 1.2

ACB

38.9Gemini 3.7 Flash

54.8Muse Spark 1.2

HLE

53.6Gemini 3.7 Flash

45.5Muse Spark 1.2

GPQA

94.5Gemini 3.7 Flash

90.4Muse Spark 1.2

DeepSWE

65.3Gemini 3.7 Flash

59.0Muse Spark 1.2

GDPval-AA

1525.0Gemini 3.7 Flash

1481.6Muse Spark 1.2

Finance Agent

59.0Gemini 3.7 Flash

60.6Muse Spark 1.2

Gemini 3.7 Flash

Input$1.50

Output$7.50

Workload$3.00

Context1M

Muse Spark 1.2

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 1.2 comparisons

Explore how Gemini 3.7 Flash and Muse Spark 1.2 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs Gemini 3.7 Flash Claude Fable 5.1 vs Muse Spark 1.2 Claude Opus 5.5 vs Gemini 3.7 Flash Claude Opus 5.5 vs Muse Spark 1.2 Claude Fable 5 vs Gemini 3.7 Flash Claude Fable 5 vs Muse Spark 1.2 Claude Opus 5 vs Gemini 3.7 Flash Claude Opus 5 vs Muse Spark 1.2 GPT-5.6 Sol vs Gemini 3.7 Flash GPT-5.6 Sol vs Muse Spark 1.2

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.