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Ministral 3 (8B Reasoning 2512) vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 16.5.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 16.5, ranking #13 overall.

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

Choose Ministral 3 (8B Reasoning 2512)

  • 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 and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Ministral 3 (8B Reasoning 2512)
Mistral AI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
16.5
#238
52.1
#13
Reasoning
16.6
#230
38.4
#71
Coding
8.9
#190
41.5
#8
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.15 / M
— / M
Output price
$0.15 / M
— / M
Context window
262,100
—

Individual benchmarks

4 reported for Ministral 3 (8B Reasoning 2512) · 16 for Muse Wonder Full

No common benchmarks found

Ministral 3 (8B Reasoning 2512) 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 Ministral 3 (8B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).

Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Meta
Muse Wonder Full
Input- tokens
Output- tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Ministral 3 (8B Reasoning 2512) and Muse Wonder Full support multimodal inputs.

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

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 3 (8B Reasoning 2512) 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.

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Ministral 3 (8B Reasoning 2512) was released on 2025-12-04, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 10 months newer than Ministral 3 (8B Reasoning 2512).

Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

10 months ago

Muse Wonder Full

Oct 12, 2026

1 days ago

10mo 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 Ministral 3 (8B Reasoning 2512) and Muse Wonder Full side-by-side, then vote on the output you prefer.

Ministral 3 (8B Reasoning 2512)
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Ministral 3 (8B Reasoning 2512) vs Muse Wonder Full.

Which is better, Ministral 3 (8B Reasoning 2512) or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 16.5. Ministral 3 (8B Reasoning 2512) 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 Ministral 3 (8B Reasoning 2512) compare to Muse Wonder Full in benchmarks?

Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%. 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 Ministral 3 (8B Reasoning 2512) and Muse Wonder Full?

Ministral 3 (8B Reasoning 2512) supports 262K 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 Ministral 3 (8B Reasoning 2512) and Muse Wonder Full?

Key differences include LLM Stats Score (16.5 vs 52.1), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 3 (8B Reasoning 2512) and Muse Wonder Full?

Ministral 3 (8B Reasoning 2512) is developed by Mistral AI and Muse Wonder Full is developed by Meta.

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