MiniMax M1 80K vs Muse Wonder
Muse Wonder leads the LLM Stats Score 49.3 to 20.9.
MiniMax · Meta · Updated for 2026
Which is better?
Muse Wonder leads the overall LLM Stats Score 49.3 to 20.9, ranking #24 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose MiniMax M1 80K
- you need open weights you can self-host or fine-tune
Choose Muse Wonder
- overall performance matters — it scores 49.3 and ranks #24 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for MiniMax M1 80K · 16 for Muse Wonder
MiniMax M1 80K and Muse Wonderdon'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 MiniMax M1 80K specifies input context (1,000,000 tokens). Only MiniMax M1 80K specifies output context (40,000 tokens).
Input capabilities
Documented input modalities across available providers
Muse Wonder supports multimodal inputs, whereas MiniMax M1 80K does not.
Muse Wonder can handle both text and other forms of data like images, making it suitable for multimodal applications.
MiniMax M1 80K
Muse Wonder
License
Usage and distribution terms
MiniMax M1 80K is licensed under MIT, while Muse Wonder uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
MiniMax M1 80K was released on 2025-06-16, while Muse Wonder was released on 2026-10-12.
Muse Wonder is 16 months newer than MiniMax M1 80K.
Jun 16, 2025
1.3 years ago
Oct 12, 2026
1 weeks ago
1.3yr 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 MiniMax M1 80K and Muse Wonder side-by-side, then vote on the output you prefer.
FAQ
Common questions about MiniMax M1 80K vs Muse Wonder.