Muse Wonder Full vs o1
Muse Wonder Full leads the LLM Stats Score 52.1 to 20.9.
Meta · OpenAI · Updated for 2026
Which is better?
Muse Wonder Full leads the overall LLM Stats Score 52.1 to 20.9, 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
- you want predictable pricing at $15.00/M input and $60.00/M output
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 Full · 19 for o1
Muse Wonder Full and o1don'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 specifies input context (200,000 tokens). Only o1 specifies output context (100,000 tokens).
Input capabilities
Documented input modalities across available providers
Muse Wonder Full supports multimodal inputs, whereas o1 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
o1
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 Full was released on 2026-10-12, while o1 was released on 2024-12-17.
Muse Wonder Full is 22 months newer than o1.
Oct 12, 2026
0 days ago
1.8yr newerDec 17, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Muse Wonder Full and o1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Muse Wonder Full vs o1.