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Muse Wonder Full vs Pixtral Large

Muse Wonder Full leads the LLM Stats Score 52.1 to 11.8.

Meta · Mistral AI · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 11.8, ranking #13 overall.

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

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 and ranks #13 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Pixtral Large

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Muse Wonder Full
Meta
Pixtral Large
Mistral AI
Core performance indexes
LLM Stats Score
52.1
#13
11.8
#272
Reasoning
38.4
#71
13.1
#256
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Muse Wonder Full
Pixtral Large
Vision
31.7#28
10.9#126
Multimodal
31.8#25
13.2#113
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Muse Wonder Full · 7 for Pixtral Large

No common benchmarks found

Muse Wonder Full and Pixtral Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

Meta
Muse Wonder Full
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Tue Oct 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Wonder Full and Pixtral Large support multimodal inputs.

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

Muse Wonder Full

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Wonder Full is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

License differences may affect how you can use these models in commercial or open-source projects.

Muse Wonder Full

Proprietary

Closed source

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Muse Wonder Full was released on 2026-10-12, while Pixtral Large was released on 2024-11-18.

Muse Wonder Full is 23 months newer than Pixtral Large.

Muse Wonder Full

Oct 12, 2026

-1 days ago

1.9yr newer
Pixtral Large

Nov 18, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Muse Wonder Full
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about Muse Wonder Full vs Pixtral Large.

Which is better, Muse Wonder Full or Pixtral Large?

Muse Wonder Full leads the LLM Stats Score 52.1 to 11.8. Muse Wonder Full is made by Meta and Pixtral Large is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Wonder Full compare to Pixtral Large in benchmarks?

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%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

What are the context window sizes for Muse Wonder Full and Pixtral Large?

Muse Wonder Full supports an unknown number of tokens and Pixtral Large supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Wonder Full and Pixtral Large?

Key differences include LLM Stats Score (52.1 vs 11.8), licensing (Proprietary vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder Full and Pixtral Large?

Muse Wonder Full is developed by Meta and Pixtral Large is developed by Mistral AI.

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