How do GPT-5.6 Sol and Muse Spark 1.3 Max 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 Max when publicly disclosed.

LLM Comparison

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

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

AskClash compares GPT-5.6 Sol and Muse Spark 1.3 Max 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 Max 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 Max model page

Rank #4 vs #24AskClash overall scores 76.7 vs 63.3.

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

Proprietary vs Open WeightsOpenAI vs Meta.

GPT-5.6 Sol vs Muse Spark 1.3 Max 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 Max
Overall Score	76.7	63.3
Leaderboard Rank	#4	#24
ACB	63.2	62.6
RWT	9.5	7.5
Coding Agent Index	80.0	—
HLE	47.2	48.7
GPQA	94.1	93.5
IFEval	72.7	—
SWE-Pro	64.6	—
SWE-Atlas	84.0	—
Terminal-Bench	88.8	—
DeepSWE	72.7	—
GDPval-AA	1748.0	1674.1
Finance Agent	53.8	60.0
MMMU-Pro	83.0	—
ARC-AGI 2	92.5	—
Tau2	85.1	—
MRCR	91.5	—
Input Price (per 1M tokens)	$5.00	—
Output Price (per 1M tokens)	$30.0	—
Context Window	1M	1M
Benchmarks Published	15	8

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

GPT-5.6 Sol leads 5 and Muse Spark 1.3 Max leads 2 of 7 shared benchmarks. Charts show only benchmarks both models publish.

GPT-5.6 SolMuse Spark 1.3 Max

Overall

76.7GPT-5.6 Sol

63.3Muse Spark 1.3 Max

ACB

63.2GPT-5.6 Sol

62.6Muse Spark 1.3 Max

RWT

9.5GPT-5.6 Sol

7.5Muse Spark 1.3 Max

HLE

47.2GPT-5.6 Sol

48.7Muse Spark 1.3 Max

GPQA

94.1GPT-5.6 Sol

93.5Muse Spark 1.3 Max

GDPval-AA

1748.0GPT-5.6 Sol

1674.1Muse Spark 1.3 Max

Finance Agent

53.8GPT-5.6 Sol

60.0Muse Spark 1.3 Max

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

Context1M

Muse Spark 1.3 Max

Input—

Output—

Workload—

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 Max comparisons

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Claude Fable 5.1 vs GPT-5.6 Sol Claude Fable 5.1 vs Muse Spark 1.3 Max Claude Opus 5.5 vs GPT-5.6 Sol Claude Opus 5.5 vs Muse Spark 1.3 Max Claude Fable 5 vs GPT-5.6 Sol Claude Fable 5 vs Muse Spark 1.3 Max GPT-5.6 Sol vs Claude Opus 5 Claude Opus 5 vs Muse Spark 1.3 Max GPT-5.6 Sol vs GPT-6 Astra GPT-6 Astra vs Muse Spark 1.3 Max

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.