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Muse Wonder Full vs Phi-4-multimodal-instruct

Muse Wonder Full leads the LLM Stats Score 52.6 to 2.3.

Meta · Microsoft · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.6 to 2.3, ranking #12 overall.

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

Choose Muse Wonder Full

  • overall performance matters — it scores 52.6 and ranks #12 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Phi-4-multimodal-instruct

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

At a glance

The differences that matter most.

Muse Wonder Full
Meta
Phi-4-multimodal-instruct
Microsoft
Core performance indexes
LLM Stats Score
52.6
#12
2.3
#338
Reasoning
41.2
#62
-0.6
#346
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.05 / M
Output price
— / M
$0.10 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Muse Wonder Full
Phi-4-multimodal-instruct
Vision
31.4#31
1.5#192
Multimodal
31.4#31
3.5#160
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Muse Wonder Full · 15 for Phi-4-multimodal-instruct

No common benchmarks found

Muse Wonder Full and Phi-4-multimodal-instructdon'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 Phi-4-multimodal-instruct specifies input context (128,000 tokens). Only Phi-4-multimodal-instruct specifies output context (128,000 tokens).

Meta
Muse Wonder Full
Input- tokens
Output- tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Fri Oct 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Wonder Full and Phi-4-multimodal-instruct support multimodal inputs.

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

Muse Wonder Full

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Wonder Full is licensed under a proprietary license, while Phi-4-multimodal-instruct uses MIT.

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

Muse Wonder Full

Proprietary

Closed source

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

Muse Wonder Full was released on 2026-10-12, while Phi-4-multimodal-instruct was released on 2025-02-01.

Muse Wonder Full is 21 months newer than Phi-4-multimodal-instruct.

Muse Wonder Full

Oct 12, 2026

1 weeks ago

1.7yr newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Muse Wonder Full's cutoff date is not specified.

We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Muse Wonder Full's cutoff date.

Muse Wonder Full

—

Phi-4-multimodal-instruct

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Wonder Full and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.

Muse Wonder Full
✓ Preferred
Phi-4-multimodal-instruct
Open in Playground

FAQ

Common questions about Muse Wonder Full vs Phi-4-multimodal-instruct.

Which is better, Muse Wonder Full or Phi-4-multimodal-instruct?

Muse Wonder Full leads the LLM Stats Score 52.6 to 2.3. Muse Wonder Full is made by Meta and Phi-4-multimodal-instruct is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Muse Wonder Full compare to Phi-4-multimodal-instruct 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%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

What are the context window sizes for Muse Wonder Full and Phi-4-multimodal-instruct?

Muse Wonder Full supports an unknown number of tokens and Phi-4-multimodal-instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Muse Wonder Full and Phi-4-multimodal-instruct?

Key differences include LLM Stats Score (52.6 vs 2.3), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder Full and Phi-4-multimodal-instruct?

Muse Wonder Full is developed by Meta and Phi-4-multimodal-instruct is developed by Microsoft.

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