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Muse Wonder Full vs o1-mini

Muse Wonder Full leads the LLM Stats Score 52.1 to 10.0.

Meta · OpenAI · Updated for 2026

Which is better?

Muse Wonder Full leads the overall LLM Stats Score 52.1 to 10.0, 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 o1-mini

  • you want predictable pricing at $3.00/M input and $12.00/M output

At a glance

The differences that matter most.

Muse Wonder Full
Meta
o1-mini
OpenAI
Core performance indexes
LLM Stats Score
52.1
#13
10.0
#282
Reasoning
38.4
#71
10.3
#276
Coding
41.5
#8
14.3
#148
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$3.00 / M
Output price
— / M
$12.00 / M
Context window
—
128,000

Individual benchmarks

16 reported for Muse Wonder Full · 6 for o1-mini

No common benchmarks found

Muse Wonder Full and o1-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 o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).

Meta
Muse Wonder Full
Input- tokens
Output- tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Tue Oct 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Wonder Full supports multimodal inputs, whereas o1-mini 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

o1-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

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Muse Wonder Full was released on 2026-10-12, while o1-mini was released on 2024-09-12.

Muse Wonder Full is 25 months newer than o1-mini.

Muse Wonder Full

Oct 12, 2026

0 days ago

2.1yr newer
o1-mini

Sep 12, 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 o1-mini side-by-side, then vote on the output you prefer.

Muse Wonder Full
✓ Preferred
o1-mini
Open in Playground

FAQ

Common questions about Muse Wonder Full vs o1-mini.

Which is better, Muse Wonder Full or o1-mini?

Muse Wonder Full leads the LLM Stats Score 52.1 to 10.0. Muse Wonder Full is made by Meta and o1-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 o1-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%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.

What are the context window sizes for Muse Wonder Full and o1-mini?

Muse Wonder Full supports an unknown number of tokens and o1-mini 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 o1-mini?

Key differences include LLM Stats Score (52.1 vs 10.0), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Muse Wonder Full and o1-mini?

Muse Wonder Full is developed by Meta and o1-mini is developed by OpenAI.

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