Which is better: Muse Wonder Full or GPT-6.1 Sol (XHigh)?

Verdict: Muse Wonder Full ranks higher (#7 vs #27) and wins 2 of 2 shared benchmarks. AskClash compares Muse Wonder Full and GPT-6.1 Sol (XHigh) 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 Muse Wonder Full and GPT-6.1 Sol (XHigh) compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Muse Wonder Full and GPT-6.1 Sol (XHigh) when publicly disclosed.

LLM Comparison

Muse Wonder Full vs GPT-6.1 Sol (XHigh): benchmark scores, pricing & comparison.

Side-by-side Muse Wonder Full vs GPT-6.1 Sol (XHigh) 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: Muse Wonder Full ranks higher (#7 vs #27) and wins 2 of 2 shared benchmarks.

Open live leaderboard Muse Wonder Full model page GPT-6.1 Sol (XHigh) model page

Rank #7 vs #27AskClash overall scores 71.2 vs 63.6.

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

Proprietary vs ProprietaryMeta vs OpenAI.

Muse Wonder Full vs GPT-6.1 Sol (XHigh) benchmark comparison

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

Metric	Muse Wonder Full	GPT-6.1 Sol (XHigh)
Overall Score	71.2	63.6
Leaderboard Rank	#7	#27
ACB	—	69.9
HLE	53.6	52.6
Terminal-Bench	57.1	—
DeepSWE	79.0	—
GDPval-AA	1857.1	1538.0
Finance Agent	59.1	—
MMMU-Pro	—	85.1
ARC-AGI 2	—	91.7
Input Price (per 1M tokens)	—	—
Output Price (per 1M tokens)	—	—
Context Window	1M	1.05M
Benchmarks Published	8	8

Muse Wonder Full vs GPT-6.1 Sol (XHigh) head-to-head charts

Muse Wonder Full leads 3 and GPT-6.1 Sol (XHigh) leads 0 of 3 shared benchmarks. Charts show only benchmarks both models publish.

Muse Wonder FullGPT-6.1 Sol (XHigh)

Overall

71.2Muse Wonder Full

63.6GPT-6.1 Sol (XHigh)

HLE

53.6Muse Wonder Full

52.6GPT-6.1 Sol (XHigh)

GDPval-AA

1857.1Muse Wonder Full

1538.0GPT-6.1 Sol (XHigh)

Muse Wonder Full

Input—

Output—

Workload—

Context1M

GPT-6.1 Sol (XHigh)

Input—

Output—

Workload—

Context1.05M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Muse Wonder Full and GPT-6.1 Sol (XHigh) comparisons

Explore how Muse Wonder Full and GPT-6.1 Sol (XHigh) stack up against other top-ranked LLMs.

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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.