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MAI-Thinking-1 vs Qwen3.8-27B

Qwen3.8-27B significantly outperforms across most benchmarks.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

MAI-Thinking-1 outperforms in 0 benchmarks, while Qwen3.8-27B is better at 4 benchmarks (GPQA, IFBench, LiveCodeBench v6, SWE-Bench Pro). Qwen3.8-27B significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose MAI-Thinking-1

  • you are already invested in the Microsoft ecosystem

Choose Qwen3.8-27B

  • you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
  • 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.

Benchmark wins
0 of 4
4 of 4
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Jun 2026
Aug 2026
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

MAI-Thinking-1 outperforms in 0 benchmarks, while Qwen3.8-27B is better at 4 benchmarks (GPQA, IFBench, LiveCodeBench v6, SWE-Bench Pro).

Qwen3.8-27B significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

972.2B diff

MAI-Thinking-1 has 972.2B more parameters than Qwen3.8-27B, making it 3499.5% larger.

Microsoft
MAI-Thinking-1
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
1000.0B
MAI-Thinking-1
27.8B
Qwen3.8-27B

Input Capabilities

Supported data types and modalities

Qwen3.8-27B supports multimodal inputs, whereas MAI-Thinking-1 does not.

Qwen3.8-27B can handle both text and other forms of data like images, making it suitable for multimodal applications.

MAI-Thinking-1

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

MAI-Thinking-1 is licensed under a proprietary license, while Qwen3.8-27B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

MAI-Thinking-1

Proprietary

Closed source

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

MAI-Thinking-1 was released on 2026-06-02, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 2 months newer than MAI-Thinking-1.

MAI-Thinking-1

Jun 2, 2026

2 months ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against MAI-Thinking-1 and Qwen3.8-27B side-by-side, then vote on the output you prefer.

MAI-Thinking-1
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about MAI-Thinking-1 vs Qwen3.8-27B.

Which is better, MAI-Thinking-1 or Qwen3.8-27B?

Qwen3.8-27B significantly outperforms across most benchmarks. MAI-Thinking-1 is made by Microsoft and Qwen3.8-27B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does MAI-Thinking-1 compare to Qwen3.8-27B in benchmarks?

MAI-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the main differences between MAI-Thinking-1 and Qwen3.8-27B?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MAI-Thinking-1 and Qwen3.8-27B?

MAI-Thinking-1 is developed by Microsoft and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.