MAI-Thinking-1 vs Qwen3.8 Max
Qwen3.8 Max leads the LLM Stats Score 53.0 to 33.2.
Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Max leads the overall LLM Stats Score 53.0 to 33.2, ranking #8 overall.
In the 4 individual benchmarks reported for both models, Qwen3.8 Max wins 4; 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 Qwen3.8 Max
- overall performance matters — it scores 53.0 and ranks #8 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- you want the most recent training data — it shipped Aug 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 · 42 for Qwen3.8 Max
MAI-Thinking-1 outperforms in 0 benchmarks, while Qwen3.8 Max is better at 4 benchmarks (GPQA, IFBench, LongBench v2, SWE-Bench Pro).
Qwen3.8 Max significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3.8 Max has 1400.0B more parameters than MAI-Thinking-1, making it 140.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3.8 Max specifies input context (256,000 tokens). Only Qwen3.8 Max specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3.8 Max supports multimodal inputs, whereas MAI-Thinking-1 does not.
Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.
MAI-Thinking-1
Qwen3.8 Max
License
Usage and distribution terms
MAI-Thinking-1 is licensed under a proprietary license, while Qwen3.8 Max uses Qwen3.8-Max License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
MAI-Thinking-1 was released on 2026-06-02, while Qwen3.8 Max was released on 2026-08-02.
Qwen3.8 Max is 2 months newer than MAI-Thinking-1.
Jun 2, 2026
2 months ago
Aug 2, 2026
4 weeks ago
2mo 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 Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about MAI-Thinking-1 vs Qwen3.8 Max.