Model Comparison
MAI-Thinking-1 vs Muse Spark 1.1Which is better in 2026?
Muse Spark 1.1 significantly outperforms across most benchmarks.
Verdict: MAI-Thinking-1 vs Muse Spark 1.1 — which is better?
MAI-Thinking-1 (by Microsoft) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
MAI-Thinking-1 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 1 benchmark (SWE-Bench Pro). Muse Spark 1.1 significantly outperforms across most benchmarks.
Choose MAI-Thinking-1 if…
- you are already invested in the Microsoft ecosystem
Choose Muse Spark 1.1 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
MAI-Thinking-1 outperforms in 0 benchmarks, while Muse Spark 1.1 is better at 1 benchmark (SWE-Bench Pro).
Muse Spark 1.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Context Window
Maximum input and output token capacity
Only Muse Spark 1.1 specifies input context (1,048,576 tokens). Only Muse Spark 1.1 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
Muse Spark 1.1 supports multimodal inputs, whereas MAI-Thinking-1 does not.
Muse Spark 1.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
MAI-Thinking-1
Muse Spark 1.1
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 Spark 1.1 was released on 2026-07-09.
Muse Spark 1.1 is 1 month newer than MAI-Thinking-1.
Jun 2, 2026
1 months ago
Jul 9, 2026
1 weeks ago
1mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Key Takeaways
MAI-Thinking-1
View detailsMicrosoft
No standout differentiators in the data we have for this pair.
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against MAI-Thinking-1 and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about MAI-Thinking-1 vs Muse Spark 1.1.