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Mistral Small vs Muse Wonder Full

Comparing Mistral Small and Muse Wonder Full across benchmarks, pricing, and capabilities.

Mistral AI · Meta · Updated for 2026

Which is better?

Mistral Small and Muse Wonder Full trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose Mistral Small

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

Choose Muse Wonder Full

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Mistral Small
Mistral AI
Muse Wonder Full
Meta
Benchmark wins
—
—
Input price
$0.20 / M
— / M
Output price
$0.60 / M
— / M
Context window
32,768
—

Individual benchmarks

0 reported for Mistral Small · 16 for Muse Wonder Full

No common benchmarks found

Mistral Small and Muse Wonder Fulldon'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 Mistral Small specifies input context (32,768 tokens). Only Mistral Small specifies output context (32,768 tokens).

Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Thu Oct 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas Mistral Small does not.

Muse Wonder Full can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Small

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small is licensed under Mistral Research License, while Muse Wonder Full uses a proprietary license.

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

Mistral Small

Mistral Research License

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Small was released on 2024-09-17, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 25 months newer than Mistral Small.

Mistral Small

Sep 17, 2024

2.1 years ago

Muse Wonder Full

Oct 12, 2026

0 days ago

2.1yr 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 Small and Muse Wonder Full side-by-side, then vote on the output you prefer.

Mistral Small
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Mistral Small vs Muse Wonder Full.

Which is better, Mistral Small or Muse Wonder Full?

Mistral Small (Mistral AI) and Muse Wonder Full (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Mistral Small compare to Muse Wonder Full 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%.

What are the context window sizes for Mistral Small and Muse Wonder Full?

Mistral Small supports 33K 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 Small and Muse Wonder Full?

Key differences include multimodal support (no vs yes), licensing (Mistral Research License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small and Muse Wonder Full?

Mistral Small is developed by Mistral AI and Muse Wonder Full is developed by Meta.

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