MAI-Thinking-1 vs Particle-1
MAI-Thinking-1 and Particle-1 are closely matched at 32.4 and 31.9 on the LLM Stats Score.
Microsoft · Particle AI · Updated for 2026
Which is better?
MAI-Thinking-1 and Particle-1 are closely matched on the overall LLM Stats Score at 32.4 and 31.9.
In the 1 individual benchmarks reported for both models, Particle-1 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 Particle-1
- 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.
Individual benchmarks
23 reported for MAI-Thinking-1 · 3 for Particle-1
MAI-Thinking-1 outperforms in 0 benchmarks, while Particle-1 is better at 1 benchmark (GPQA).
Particle-1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only Particle-1 specifies input context (1,048,576 tokens). Only Particle-1 specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Particle-1 supports multimodal inputs, whereas MAI-Thinking-1 does not.
Particle-1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
MAI-Thinking-1
Particle-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 Particle-1 was released on 2026-10-28.
Particle-1 is 5 months newer than MAI-Thinking-1.
Jun 2, 2026
5 months ago
Oct 28, 2026
3 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 Particle-1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about MAI-Thinking-1 vs Particle-1.