How do GPT-5.6 Sol and Muse Spark 1.3 compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.6 Sol and Muse Spark 1.3 when publicly disclosed.

LLM Comparison

GPT-5.6 Sol vs Muse Spark 1.3: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Sol or Muse Spark 1.3?

AskClash compares GPT-5.6 Sol and Muse Spark 1.3 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.

Side-by-side GPT-5.6 Sol vs Muse Spark 1.3 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.

Open live leaderboard GPT-5.6 Sol model page Muse Spark 1.3 model page

Rank #3 vs #15AskClash overall scores 69.2 vs 58.2.

Pricing $5.00/$30.0 vs $1.25/$4.25Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Meta.

GPT-5.6 Sol vs Muse Spark 1.3 benchmark comparison

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

Metric	GPT-5.6 Sol	Muse Spark 1.3
Overall Score	69.2	58.2
Leaderboard Rank	#3	#15
ACB	63.2	55.5
RWT	9.5	7.5
Coding Agent Index	80.0	—
HLE	47.2	—
GPQA	94.1	—
SWE-Pro	64.6	—
SWE-Atlas	84.0	59.4
Terminal-Bench	88.8	88.8
DeepSWE	72.7	75.4
GDPval-AA	1748.0	1754.0
Finance Agent	53.8	—
MMMU-Pro	83.0	—
ARC-AGI 2	92.5	—
Tau2	85.1	—
MRCR	91.5	98.1
Input Price (per 1M tokens)	$5.00	$1.25
Output Price (per 1M tokens)	$30.0	$4.25
Context Window	1M	1M
Benchmarks Published	15	6

GPT-5.6 Sol vs Muse Spark 1.3 head-to-head charts

GPT-5.6 Sol leads 4 and Muse Spark 1.3 leads 3 of 8 shared benchmarks. Muse Spark 1.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolMuse Spark 1.3

Overall

69.2GPT-5.6 Sol

58.2Muse Spark 1.3

ACB

63.2GPT-5.6 Sol

55.5Muse Spark 1.3

RWT

9.5GPT-5.6 Sol

7.5Muse Spark 1.3

SWE-Atlas

84.0GPT-5.6 Sol

59.4Muse Spark 1.3

Terminal-Bench

88.8GPT-5.6 Sol

88.8Muse Spark 1.3

DeepSWE

72.7GPT-5.6 Sol

75.4Muse Spark 1.3

GDPval-AA

1748.0GPT-5.6 Sol

1754.0Muse Spark 1.3

MRCR

91.5GPT-5.6 Sol

98.1Muse Spark 1.3

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

Context1M

Muse Spark 1.3

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 GPT-5.6 Sol and Muse Spark 1.3 comparisons

Explore how GPT-5.6 Sol and Muse Spark 1.3 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GPT-5.6 Sol Claude Fable 5.1 vs Muse Spark 1.3 Claude Fable 5 vs GPT-5.6 Sol Claude Fable 5 vs Muse Spark 1.3 GPT-5.6 Sol vs Claude Opus 5 Claude Opus 5 vs Muse Spark 1.3 GPT-5.6 Sol vs Grok 4.6 Grok 4.6 vs Muse Spark 1.3 GPT-5.6 Sol vs Claude Opus 4.8 Claude Opus 4.8 vs Muse Spark 1.3

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.