Muse Wonder vs o3-mini
Muse Wonder leads the LLM Stats Score 47.9 to 21.4. o3-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 21.4, ranking #29 overall.
On price, o3-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 o3-mini
- cost matters — it's about 4.2x cheaper per token
At a glance
The differences that matter most.
Individual benchmarks
16 reported for Muse Wonder · 25 for o3-mini
Muse Wonder and o3-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 o3-mini ($1.10/1M tokens).
For output processing, Muse Wonder ($20.00/1M tokens) is 4.5x more expensive than o3-mini ($4.40/1M tokens).
In conclusion, Muse Wonder is more expensive than o3-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 o3-mini's 200,000 tokens. Only o3-mini specifies output context (100,000 tokens).
Input capabilities
Documented input modalities across available providers
Muse Wonder supports multimodal inputs, whereas o3-mini does not.
Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.
Muse Wonder
o3-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 o3-mini was released on 2025-01-30.
Muse Wonder is 21 months newer than o3-mini.
Oct 12, 2026
0 days ago
1.7yr newerJan 30, 2025
1.7 years ago
Knowledge Cutoff
When training data ends
o3-mini has a documented knowledge cutoff of 2023-09-30, while Muse Wonder's cutoff date is not specified.
We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without Muse Wonder's cutoff date.
—
Sep 2023
Provider Availability
Muse Wonder is available from Meta Model API. o3-mini is available from Azure, OpenAI.
Muse Wonder
o3-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Wonder and o3-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Wonder vs o3-mini.