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Llama 3.2 90B Instruct vs Muse Wonder Full

Muse Wonder Full leads the LLM Stats Score 52.1 to 5.2.

Meta · Meta · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 5.2, ranking #13 overall.

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

Choose Llama 3.2 90B 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.

Llama 3.2 90B Instruct
Meta
Muse Wonder Full
Meta
Core performance indexes
LLM Stats Score
5.2
#313
52.1
#13
Reasoning
6.7
#301
38.4
#71
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.35 / M
— / M
Output price
$0.40 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Llama 3.2 90B Instruct
Muse Wonder Full
Vision
2.8#177
31.7#28
Multimodal
5.5#149
31.8#25
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Llama 3.2 90B Instruct · 16 for Muse Wonder Full

No common benchmarks found

Llama 3.2 90B 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 Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 90B Instruct
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 Llama 3.2 90B Instruct and Muse Wonder Full support multimodal inputs.

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

Llama 3.2 90B Instruct

Text
Images
Audio
Video

Muse Wonder Full

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 90B Instruct is licensed under Llama 3.2, while Muse Wonder Full uses a proprietary license.

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

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Muse Wonder Full

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.2 90B Instruct was released on 2024-09-25, while Muse Wonder Full was released on 2026-10-12.

Muse Wonder Full is 25 months newer than Llama 3.2 90B Instruct.

Llama 3.2 90B Instruct

Sep 25, 2024

2.0 years ago

Muse Wonder Full

Oct 12, 2026

-1 days ago

2.0yr 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 Llama 3.2 90B Instruct and Muse Wonder Full side-by-side, then vote on the output you prefer.

Llama 3.2 90B Instruct
✓ Preferred
Muse Wonder Full
Open in Playground

FAQ

Common questions about Llama 3.2 90B Instruct vs Muse Wonder Full.

Which is better, Llama 3.2 90B Instruct or Muse Wonder Full?

Muse Wonder Full leads the LLM Stats Score 52.1 to 5.2. Llama 3.2 90B Instruct is made by Meta 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 Llama 3.2 90B Instruct compare to Muse Wonder Full in benchmarks?

Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%. 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 Llama 3.2 90B Instruct and Muse Wonder Full?

Llama 3.2 90B Instruct 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 Llama 3.2 90B Instruct and Muse Wonder Full?

Key differences include LLM Stats Score (5.2 vs 52.1), licensing (Llama 3.2 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

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