MAI-Thinking-1 vs Muse Spark Open
Muse Spark Open leads the LLM Stats Score 44.9 to 32.8.
Microsoft · Meta · Updated for 2026
Which is better?
Muse Spark Open leads the overall LLM Stats Score 44.9 to 32.8, ranking #43 overall.
In the 1 individual benchmarks reported for both models, Muse Spark Open 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 Spark Open
- overall performance matters — it scores 44.9 and ranks #43 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
- you need open weights you can self-host or fine-tune
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 · 17 for Muse Spark Open
MAI-Thinking-1 outperforms in 0 benchmarks, while Muse Spark Open is better at 1 benchmark (GPQA).
Muse Spark Open significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
MAI-Thinking-1 has 184.0B more parameters than Muse Spark Open, making it 22.5% larger.
Context Window
Maximum input and output token capacity
Only Muse Spark Open specifies input context (1,048,576 tokens). Only Muse Spark Open specifies output context (1,048,576 tokens).
Input capabilities
Documented input modalities across available providers
Muse Spark Open supports multimodal inputs, whereas MAI-Thinking-1 does not.
Muse Spark Open can handle both text and other forms of data like images, making it suitable for multimodal applications.
MAI-Thinking-1
Muse Spark Open
License
Usage and distribution terms
MAI-Thinking-1 is licensed under a proprietary license, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Muse Model License
Open weights
Release Timeline
When each model was launched
MAI-Thinking-1 was released on 2026-06-02, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 5 months newer than MAI-Thinking-1.
Jun 2, 2026
4 months ago
Oct 15, 2026
2 days 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 Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about MAI-Thinking-1 vs Muse Spark Open.