Muse Wonder vs o4-mini
Muse Wonder leads the LLM Stats Score 47.9 to 27.4. o4-mini is 4.2x cheaper per token.
Meta · OpenAI · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 47.9 to 27.4, ranking #29 overall.
On price, o4-mini is roughly 4.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Muse Wonder also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Muse Wonder
- overall performance matters — it scores 47.9 and ranks #29 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Oct 2026
Choose o4-mini
- cost matters — it's about 4.2x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Muse Wonder · 14 for o4-mini
Muse Wonder 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
Pricing Analysis
Price comparison per million tokens
For input processing, Muse Wonder ($4.00/1M tokens) is 3.6x more expensive than o4-mini ($1.10/1M tokens).
For output processing, Muse Wonder ($20.00/1M tokens) is 4.5x more expensive than o4-mini ($4.40/1M tokens).
In conclusion, Muse Wonder is more expensive than o4-mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Muse Wonder accepts 1,048,576 input tokens compared to o4-mini's 200,000 tokens. Only o4-mini specifies output context (100,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Muse Wonder and o4-mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Muse Wonder
o4-mini
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Muse Wonder was released on 2026-10-12, while o4-mini was released on 2025-04-16.
Muse Wonder is 18 months newer than o4-mini.
Oct 12, 2026
1 days ago
1.5yr newerApr 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'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's cutoff date.
—
May 2024
Provider Availability
Muse Wonder is available from Meta Model API. o4-mini is available from OpenAI.
Muse Wonder
o4-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Wonder and o4-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Wonder vs o4-mini.