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Mistral Large 4 vs Muse Wonder Full

Mistral Large 4 and Muse Wonder Full are closely matched at 46.2 and 52.1 on the LLM Stats Score.

Mistral AI · Meta · Updated for 2026

Which is better?

Mistral Large 4 and Muse Wonder Full are closely matched on the overall LLM Stats Score at 46.2 and 52.1.

In the 2 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 Mistral Large 4

  • you want predictable pricing at $0.68/M input and $2.09/M output

Choose Muse Wonder Full

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

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
46.2
#34
52.1
#13
Reasoning
44.4
#38
38.4
#71
Coding
35.4
#27
41.5
#8
Agents
34.0
#26
38.5
#8
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Mistral Large 4
Muse Wonder Full
Vision
1.1#189
31.7#28
Multimodal
1.7#162
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 16 for Muse Wonder Full

2 shared

Mistral Large 4 outperforms in 0 benchmarks, while Muse Wonder Full is better at 2 benchmarks (DeepSWE 1.1, GDP.pdf).

Muse Wonder Full significantly outperforms across most 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 Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- 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 Mistral Large 4 and Muse Wonder Full support multimodal inputs.

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

Mistral Large 4

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.

Mistral Large 4

Proprietary

Closed source

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 0 month newer than Mistral Large 4.

Mistral Large 4

Oct 6, 2026

6 days ago

Muse Wonder Full

Oct 12, 2026

0 days ago

6d newer

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 Mistral Large 4 and Muse Wonder Full side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Muse Wonder Full.

Which is better, Mistral Large 4 or Muse Wonder Full?

Mistral Large 4 and Muse Wonder Full are closely matched on the LLM Stats Score at 46.2 and 52.1. Mistral Large 4 is made by Mistral AI 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 Mistral Large 4 compare to Muse Wonder Full in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. 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 Mistral Large 4 and Muse Wonder Full?

Mistral Large 4 supports 1.0M 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 Mistral Large 4 and Muse Wonder Full?

Key differences include LLM Stats Score (46.2 vs 52.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Muse Wonder Full?

Mistral Large 4 is developed by Mistral AI and Muse Wonder Full is developed by Meta.

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