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Muse Wonder Full vs Phi-3.5-mini-instruct

Muse Wonder Full leads the LLM Stats Score 52.1 to -3.8.

Meta · Microsoft · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to -3.8, ranking #13 overall.

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

Choose Muse Wonder Full

  • overall performance matters — it scores 52.1 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

Choose Phi-3.5-mini-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-3.5-mini-instruct
Microsoft
Core performance indexes
LLM Stats Score
52.1
#13
-3.8
#362
Reasoning
38.4
#71
-4.7
#358
Coding
41.5
#8
-6.9
#276
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
—
128,000

Individual benchmarks

16 reported for Muse Wonder Full · 31 for Phi-3.5-mini-instruct

No common benchmarks found

Muse Wonder Full and Phi-3.5-mini-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-3.5-mini-instruct specifies input context (128,000 tokens). Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).

Meta
Muse Wonder Full
Input- tokens
Output- tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Tue Oct 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas Phi-3.5-mini-instruct does not.

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

Muse Wonder Full

Text
Images
Audio
Video

Phi-3.5-mini-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Muse Wonder Full is licensed under a proprietary license, while Phi-3.5-mini-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-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

Muse Wonder Full was released on 2026-10-12, while Phi-3.5-mini-instruct was released on 2024-08-23.

Muse Wonder Full is 26 months newer than Phi-3.5-mini-instruct.

Muse Wonder Full

Oct 12, 2026

0 days ago

2.1yr newer
Phi-3.5-mini-instruct

Aug 23, 2024

2.1 years ago

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 Muse Wonder Full and Phi-3.5-mini-instruct side-by-side, then vote on the output you prefer.

Muse Wonder Full
✓ Preferred
Phi-3.5-mini-instruct
Open in Playground

FAQ

Common questions about Muse Wonder Full vs Phi-3.5-mini-instruct.

Which is better, Muse Wonder Full or Phi-3.5-mini-instruct?

Muse Wonder Full leads the LLM Stats Score 52.1 to -3.8. Muse Wonder Full is made by Meta and Phi-3.5-mini-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-3.5-mini-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-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.

What are the context window sizes for Muse Wonder Full and Phi-3.5-mini-instruct?

Muse Wonder Full supports an unknown number of tokens and Phi-3.5-mini-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-3.5-mini-instruct?

Key differences include LLM Stats Score (52.1 vs -3.8), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder Full and Phi-3.5-mini-instruct?

Muse Wonder Full is developed by Meta and Phi-3.5-mini-instruct is developed by Microsoft.

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