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Qwen3.7 Max vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next shows notably better performance in the majority of benchmarks.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.7 Max outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3.8-Flash-Next is better at 6 benchmarks (CoWorkBench, IFBench, LiveCodeBench v6, NL2Repo, SWE-bench Multilingual, SWE-Bench Pro). Qwen3.8-Flash-Next shows notably better performance in the majority of benchmarks.

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

Choose Qwen3.7 Max

  • you want predictable pricing at $1.25/M input and $3.75/M output

Choose Qwen3.8-Flash-Next

  • you want the strongest raw capability — it leads on 6 of 8 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.

Qwen3.7 Max
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Benchmark wins
2 of 8
6 of 8
Input price
$1.25 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,000,000
—
Released
May 2026
Aug 2026
License
Proprietary
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Qwen3.7 Max outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3.8-Flash-Next is better at 6 benchmarks (CoWorkBench, IFBench, LiveCodeBench v6, NL2Repo, SWE-bench Multilingual, SWE-Bench Pro).

Qwen3.8-Flash-Next shows notably better performance in the majority of benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Qwen3.7 Max specifies input context (1,000,000 tokens). Only Qwen3.7 Max specifies output context (65,536 tokens).

Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-Flash-Next supports multimodal inputs, whereas Qwen3.7 Max does not.

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

Qwen3.7 Max

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.7 Max 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.

Qwen3.7 Max

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Qwen3.7 Max was released on 2026-05-19, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 3 months newer than Qwen3.7 Max.

Qwen3.7 Max

May 19, 2026

3 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

3mo 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 Qwen3.7 Max and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Qwen3.7 Max
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Qwen3.7 Max vs Qwen3.8-Flash-Next.

Which is better, Qwen3.7 Max or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next shows notably better performance in the majority of benchmarks. Qwen3.7 Max is made by Alibaba Cloud / Qwen Team and Qwen3.8-Flash-Next 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 Qwen3.7 Max compare to Qwen3.8-Flash-Next in benchmarks?

Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%. 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 context window sizes for Qwen3.7 Max and Qwen3.8-Flash-Next?

Qwen3.7 Max supports 1.0M tokens and Qwen3.8-Flash-Next supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3.7 Max and Qwen3.8-Flash-Next?

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

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