Which is better: GPT-6 Sol or Muse Spark 1.1?

Verdict: GPT-6 Sol ranks higher (#27 vs #29) and wins 4 of 6 shared benchmarks; Muse Spark 1.1 costs less ($1.25/$4.25 vs $2.00/$10.0 per 1M tokens). AskClash compares GPT-6 Sol and Muse Spark 1.1 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 GPT-6 Sol and Muse Spark 1.1 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-6 Sol and Muse Spark 1.1 when publicly disclosed.

LLM Comparison

GPT-6 Sol vs Muse Spark 1.1: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Sol vs Muse Spark 1.1 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: GPT-6 Sol ranks higher (#27 vs #29) and wins 4 of 6 shared benchmarks; Muse Spark 1.1 costs less ($1.25/$4.25 vs $2.00/$10.0 per 1M tokens).

Open live leaderboard GPT-6 Sol model page Muse Spark 1.1 model page

Rank #27 vs #29AskClash overall scores 59.1 vs 57.7.

Pricing $2.00/$10.0 vs $1.25/$4.25Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs Meta.

GPT-6 Sol vs Muse Spark 1.1 benchmark comparison

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

Metric	GPT-6 Sol	Muse Spark 1.1
Overall Score	59.1	57.7
Leaderboard Rank	#27	#29
ACB	55.8	51.3
RWT	—	7.5
Coding Agent Index	56.7	—
HLE	47.9	62.1
GPQA	—	89.8
SWE-Pro	—	61.5
SWE-Atlas	57.5	—
Terminal-Bench	83.2	80.0
DeepSWE	68.8	53.3
GDPval-AA	1486.9	1381.0
OSWorld	—	80.8
MCP Atlas	—	88.1
Finance Agent	49.0	57.2
CharXiv	—	88.4
MMMU-Pro	83.3	—
MRCR	—	54.1
Input Price (per 1M tokens)	$2.00	$1.25
Output Price (per 1M tokens)	$10.0	$4.25
Context Window	1.05M	1M
Benchmarks Published	12	13

GPT-6 Sol vs Muse Spark 1.1 head-to-head charts

GPT-6 Sol leads 5 and Muse Spark 1.1 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.

GPT-6 SolMuse Spark 1.1

Overall

59.1GPT-6 Sol

57.7Muse Spark 1.1

ACB

55.8GPT-6 Sol

51.3Muse Spark 1.1

HLE

47.9GPT-6 Sol

62.1Muse Spark 1.1

Terminal-Bench

83.2GPT-6 Sol

80.0Muse Spark 1.1

DeepSWE

68.8GPT-6 Sol

53.3Muse Spark 1.1

GDPval-AA

1486.9GPT-6 Sol

1381.0Muse Spark 1.1

Finance Agent

49.0GPT-6 Sol

57.2Muse Spark 1.1

GPT-6 Sol

Input$2.00

Output$10.0

Workload$4.00

Context1.05M

Muse Spark 1.1

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-6 Sol and Muse Spark 1.1 comparisons

Explore how GPT-6 Sol and Muse Spark 1.1 stack up against other top-ranked LLMs.

Claude Fable 5.1 vs GPT-6 Sol Claude Fable 5.1 vs Muse Spark 1.1 Claude Opus 5.5 vs GPT-6 Sol Claude Opus 5.5 vs Muse Spark 1.1 Claude Fable 5 vs GPT-6 Sol Claude Fable 5 vs Muse Spark 1.1 Claude Opus 5 vs GPT-6 Sol Claude Opus 5 vs Muse Spark 1.1 GPT-5.6 Sol vs GPT-6 Sol GPT-5.6 Sol vs Muse Spark 1.1

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.