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Mistral Small 3.1 24B Base vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 0.3.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 0.3, ranking #13 overall.

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

Choose Mistral Small 3.1 24B Base

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

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

At a glance

The differences that matter most.

Mistral Small 3.1 24B Base
Mistral AI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
0.3
#341
52.1
#13
Reasoning
0.5
#332
38.4
#71
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.30 / M
— / M
Context window
128,000
—

Individual benchmarks

5 reported for Mistral Small 3.1 24B Base · 16 for Muse Wonder Full

No common benchmarks found

Mistral Small 3.1 24B Base 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 3.1 24B Base specifies input context (128,000 tokens). Only Mistral Small 3.1 24B Base specifies output context (128,000 tokens).

Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Tue Oct 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Small 3.1 24B Base and Muse Wonder Full support multimodal inputs.

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

Mistral Small 3.1 24B Base

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3.1 24B Base is licensed under Apache 2.0, 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 3.1 24B Base

Apache 2.0

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Small 3.1 24B Base was released on 2025-03-17, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 19 months newer than Mistral Small 3.1 24B Base.

Mistral Small 3.1 24B Base

Mar 17, 2025

1.6 years ago

Muse Wonder Full

Oct 12, 2026

0 days ago

1.6yr 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 3.1 24B Base and Muse Wonder Full side-by-side, then vote on the output you prefer.

Mistral Small 3.1 24B Base
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Mistral Small 3.1 24B Base vs Muse Wonder Full.

Which is better, Mistral Small 3.1 24B Base or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 0.3. Mistral Small 3.1 24B Base 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 Small 3.1 24B Base compare to Muse Wonder Full in benchmarks?

Mistral Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%. 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 3.1 24B Base and Muse Wonder Full?

Mistral Small 3.1 24B Base supports 128K 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 3.1 24B Base and Muse Wonder Full?

Key differences include LLM Stats Score (0.3 vs 52.1), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Small 3.1 24B Base and Muse Wonder Full?

Mistral Small 3.1 24B Base is developed by Mistral AI and Muse Wonder Full is developed by Meta.

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