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Muse Wonder Full vs o4-mini

Muse Wonder Full leads the LLM Stats Score 52.1 to 27.4.

Meta · OpenAI · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 27.4, 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 o4-mini

  • you want predictable pricing at $1.10/M input and $4.40/M output

At a glance

The differences that matter most.

Muse Wonder Full
Meta
o4-mini
OpenAI
Core performance indexes
LLM Stats Score
52.1
#13
27.4
#159
Reasoning
38.4
#71
27.5
#150
Coding
41.5
#8
11.8
#165
Agents
38.5
#8
7.2
#151
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$1.10 / M
Output price
— / M
$4.40 / M
Context window
—
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Muse Wonder Full
o4-mini
Vision
31.7#28
15.8#100
Multimodal
31.8#25
21.7#72
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Muse Wonder Full · 14 for o4-mini

No common benchmarks found

Muse Wonder Full and o4-minidon'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 o4-mini specifies input context (200,000 tokens). Only o4-mini specifies output context (100,000 tokens).

Meta
Muse Wonder Full
Input- tokens
Output- tokens
OpenAI
o4-mini
Input200,000 tokens
Output100,000 tokens
Fri Oct 16 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Muse Wonder Full and o4-mini support multimodal inputs.

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

Muse Wonder Full

Text
Images
Audio
Video

o4-mini

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Muse Wonder Full

Proprietary

Closed source

o4-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Wonder Full was released on 2026-10-12, while o4-mini was released on 2025-04-16.

Muse Wonder Full is 18 months newer than o4-mini.

Muse Wonder Full

Oct 12, 2026

1 days ago

1.5yr newer
o4-mini

Apr 16, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

o4-mini has a documented knowledge cutoff of 2024-05-31, while Muse Wonder Full's cutoff date is not specified.

We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without Muse Wonder Full's cutoff date.

Muse Wonder Full

—

o4-mini

May 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Muse Wonder Full and o4-mini side-by-side, then vote on the output you prefer.

Muse Wonder Full
✓ Preferred
o4-mini
Open in Playground

FAQ

Common questions about Muse Wonder Full vs o4-mini.

Which is better, Muse Wonder Full or o4-mini?

Muse Wonder Full leads the LLM Stats Score 52.1 to 27.4. Muse Wonder Full is made by Meta and o4-mini is made by OpenAI. 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 o4-mini 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%. o4-mini scores AIME 2024: 93.4%, AIME 2025: 92.7%, MathVista: 84.3%, MMMU: 81.6%, GPQA: 81.4%.

What are the context window sizes for Muse Wonder Full and o4-mini?

Muse Wonder Full supports an unknown number of tokens and o4-mini supports 200K 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 o4-mini?

Key differences include LLM Stats Score (52.1 vs 27.4). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder Full and o4-mini?

Muse Wonder Full is developed by Meta and o4-mini is developed by OpenAI.

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