MAI-Thinking-1 vs Muse Wonder
Muse Wonder leads the LLM Stats Score 49.2 to 32.8.
Microsoft · Meta · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 49.2 to 32.8, ranking #25 overall.
In the 1 individual benchmarks reported for both models, Muse Wonder wins 1; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MAI-Thinking-1
- you are already invested in the Microsoft ecosystem
Choose Muse Wonder
- overall performance matters — it scores 49.2 and ranks #25 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for MAI-Thinking-1 · 16 for Muse Wonder
MAI-Thinking-1 outperforms in 0 benchmarks, while Muse Wonder is better at 1 benchmark (HealthBench Professional).
Muse Wonder significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Input capabilities
Documented input modalities across available providers
Muse Wonder supports multimodal inputs, whereas MAI-Thinking-1 does not.
Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.
MAI-Thinking-1
Muse Wonder
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
MAI-Thinking-1 was released on 2026-06-02, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 4 months newer than MAI-Thinking-1.
Jun 2, 2026
4 months ago
Oct 12, 2026
1 weeks ago
4mo newerKnowledge 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 MAI-Thinking-1 and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about MAI-Thinking-1 vs Muse Wonder.