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Mistral NeMo Instruct vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to -4.8.

Mistral AI · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to -4.8, ranking #13 overall.

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

Choose Mistral NeMo Instruct

  • 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 NeMo Instruct
Mistral AI
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
-4.8
#369
52.1
#13
Reasoning
-5.0
#361
38.4
#71
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.02 / M
— / M
Output price
$0.03 / M
— / M
Context window
131,072
—

Individual benchmarks

8 reported for Mistral NeMo Instruct · 16 for Muse Wonder Full

No common benchmarks found

Mistral NeMo Instruct 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 NeMo Instruct specifies input context (131,072 tokens). Only Mistral NeMo Instruct specifies output context (131,072 tokens).

Mistral AI
Mistral NeMo Instruct
Input131,072 tokens
Output131,072 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 NeMo Instruct does not.

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

Mistral NeMo Instruct

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral NeMo Instruct 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 NeMo Instruct

Apache 2.0

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral NeMo Instruct was released on 2024-07-18, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 27 months newer than Mistral NeMo Instruct.

Mistral NeMo Instruct

Jul 18, 2024

2.2 years ago

Muse Wonder Full

Oct 12, 2026

-1 days ago

2.2yr 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 NeMo Instruct and Muse Wonder Full side-by-side, then vote on the output you prefer.

Mistral NeMo Instruct
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Mistral NeMo Instruct vs Muse Wonder Full.

Which is better, Mistral NeMo Instruct or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to -4.8. Mistral NeMo Instruct 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 NeMo Instruct compare to Muse Wonder Full in benchmarks?

Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%. 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 NeMo Instruct and Muse Wonder Full?

Mistral NeMo Instruct supports 131K 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 NeMo Instruct and Muse Wonder Full?

Key differences include LLM Stats Score (-4.8 vs 52.1), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral NeMo Instruct and Muse Wonder Full?

Mistral NeMo Instruct is developed by Mistral AI and Muse Wonder Full is developed by Meta.

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