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MAI-Thinking-1 vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 33.2.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 50.5 to 33.2, ranking #14 overall.

In the 4 individual benchmarks reported for both models, Qwen3.8-Flash-Next 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-Flash-Next

  • overall performance matters — it scores 50.5 and ranks #14 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.

Core performance indexes
33.2
#88
50.5
#14
34.0
#82
50.6
#12
20.4
#89
38.4
#19
14.0
#82
37.2
#12
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
MAI-Thinking-1
Qwen3.8-Flash-Next
33.8#47
33.3#50
10.2#116
32.3#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

23 reported for MAI-Thinking-1 · 22 for Qwen3.8-Flash-Next

4 shared

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

Qwen3.8-Flash-Next significantly outperforms across most benchmarks.

Sun Aug 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

875.0B diff

MAI-Thinking-1 has 875.0B more parameters than Qwen3.8-Flash-Next, making it 700.0% larger.

Microsoft
MAI-Thinking-1
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
1000.0B
MAI-Thinking-1
125.0B
Qwen3.8-Flash-Next

Input capabilities

Documented input modalities across available providers

Qwen3.8-Flash-Next supports multimodal inputs, whereas MAI-Thinking-1 does not.

Qwen3.8-Flash-Next 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-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

MAI-Thinking-1 is licensed under a proprietary license, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

MAI-Thinking-1

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

MAI-Thinking-1 was released on 2026-06-02, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 3 months newer than MAI-Thinking-1.

MAI-Thinking-1

Jun 2, 2026

2 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

4 days 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-Flash-Next side-by-side, then vote on the output you prefer.

MAI-Thinking-1
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about MAI-Thinking-1 vs Qwen3.8-Flash-Next.

Which is better, MAI-Thinking-1 or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 33.2. MAI-Thinking-1 is made by Microsoft and Qwen3.8-Flash-Next is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does MAI-Thinking-1 compare to Qwen3.8-Flash-Next 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-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the main differences between MAI-Thinking-1 and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (33.2 vs 50.5), multimodal support (no vs yes), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes MAI-Thinking-1 and Qwen3.8-Flash-Next?

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