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GPT-6.1 Sol vs Muse Wonder Full

GPT-6.1 Sol and Muse Wonder Full are closely matched at 54.0 and 52.1 on the LLM Stats Score.

OpenAI · Meta · Updated for 2026

Which is better?

GPT-6.1 Sol and Muse Wonder Full are closely matched on the overall LLM Stats Score at 54.0 and 52.1.

In the 3 individual benchmarks reported for both models, Muse Wonder Full wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6.1 Sol

  • your work emphasizes reasoning — it leads those capability indexes

Choose Muse Wonder Full

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GPT-6.1 Sol
OpenAI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
54.0
#7
52.1
#13
Reasoning
51.7
#8
38.4
#71
Coding
39.7
#13
41.5
#8
Agents
38.3
#11
38.5
#8
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
GPT-6.1 Sol
Muse Wonder Full
Vision
35.6#11
31.7#28
Multimodal
35.4#11
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GPT-6.1 Sol · 16 for Muse Wonder Full

3 shared

GPT-6.1 Sol outperforms in 1 benchmarks (HealthBench Professional), while Muse Wonder Full is better at 2 benchmarks (DeepSWE 1.1, GDP.pdf).

Muse Wonder Full shows notably better performance in the majority of benchmarks.

Mon Oct 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Mon Oct 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Sol and Muse Wonder Full support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6.1 Sol

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-6.1 Sol

Proprietary

Closed source

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 0 month newer than GPT-6.1 Sol.

GPT-6.1 Sol

Sep 29, 2026

1 weeks ago

Muse Wonder Full

Oct 12, 2026

-1 days ago

1w newer

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Muse Wonder Full's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Muse Wonder Full's cutoff date.

GPT-6.1 Sol

Apr 2026

Muse Wonder Full

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Muse Wonder Full side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Muse Wonder Full.

Which is better, GPT-6.1 Sol or Muse Wonder Full?

GPT-6.1 Sol and Muse Wonder Full are closely matched on the LLM Stats Score at 54.0 and 52.1. GPT-6.1 Sol is made by OpenAI and Muse Wonder Full is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6.1 Sol compare to Muse Wonder Full in benchmarks?

GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%. Muse Wonder Full scores MemoryBench: 85.5%, DeepSWE 1.1: 79.0%, OSWorld 2.1 (partial): 78.4%, JobBench: 75.3%, HealthBench Professional: 62.3%.

What are the context window sizes for GPT-6.1 Sol and Muse Wonder Full?

GPT-6.1 Sol supports 1.1M tokens and Muse Wonder Full supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6.1 Sol and Muse Wonder Full?

Key differences include LLM Stats Score (54.0 vs 52.1). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and Muse Wonder Full?

GPT-6.1 Sol is developed by OpenAI and Muse Wonder Full is developed by Meta.

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