Model Comparison

Qwen3.7 Max vs DiffusionGemma 26B-A4BWhich is better in 2026?

Qwen3.7 Max significantly outperforms across most benchmarks.

Verdict: Qwen3.7 Max vs DiffusionGemma 26B-A4B — which is better?

Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and DiffusionGemma 26B-A4B (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Qwen3.7 Max outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMMLU), while DiffusionGemma 26B-A4B is better at 0 benchmarks. Qwen3.7 Max significantly outperforms across most benchmarks.

Choose Qwen3.7 Max if…

  • you want the strongest raw capability — it leads on 5 of 5 shared benchmarks

Choose DiffusionGemma 26B-A4B if…

  • you want the most recent training data — it shipped Jun 2026
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Qwen3.7 Max outperforms in 5 benchmarks (GPQA, Humanity's Last Exam, LiveCodeBench v6, MMLU-Pro, MMMLU), while DiffusionGemma 26B-A4B is better at 0 benchmarks.

Qwen3.7 Max significantly outperforms across most benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

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
Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DiffusionGemma 26B-A4B supports multimodal inputs, whereas Qwen3.7 Max does not.

DiffusionGemma 26B-A4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.7 Max

Text
Images
Audio
Video

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.7 Max is licensed under a proprietary license, while DiffusionGemma 26B-A4B uses Apache 2.0.

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

Qwen3.7 Max

Proprietary

Closed source

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.7 Max was released on 2026-05-19, while DiffusionGemma 26B-A4B was released on 2026-06-10.

DiffusionGemma 26B-A4B is 1 month newer than Qwen3.7 Max.

Qwen3.7 Max

May 19, 2026

1 months ago

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

3w newer

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Qwen3.7 Max's cutoff date is not specified.

We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen3.7 Max's cutoff date.

Qwen3.7 Max

—

DiffusionGemma 26B-A4B

Jan 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.7 Max

View details

Alibaba Cloud / Qwen Team

Larger context window (1,000,000 tokens)
Higher GPQA score (92.4% vs 73.2%)
Higher Humanity's Last Exam score (41.4% vs 11.9%)
Higher LiveCodeBench v6 score (91.6% vs 69.1%)
Higher MMLU-Pro score (89.6% vs 77.6%)
Higher MMMLU score (90.3% vs 81.5%)
Google
Supports multimodal inputs
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.7 Max and DiffusionGemma 26B-A4B side-by-side, then vote on the output you prefer.

Qwen3.7 Max
✓ Preferred
DiffusionGemma 26B-A4B
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Google
DiffusionGemma 26B-A4B

FAQ

Common questions about Qwen3.7 Max vs DiffusionGemma 26B-A4B.

Which is better, Qwen3.7 Max or DiffusionGemma 26B-A4B?

Qwen3.7 Max significantly outperforms across most benchmarks. Qwen3.7 Max is made by Alibaba Cloud / Qwen Team and DiffusionGemma 26B-A4B is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen3.7 Max compare to DiffusionGemma 26B-A4B 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%. DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%.

What are the context window sizes for Qwen3.7 Max and DiffusionGemma 26B-A4B?

Qwen3.7 Max supports 1.0M tokens and DiffusionGemma 26B-A4B 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 DiffusionGemma 26B-A4B?

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 Qwen3.7 Max and DiffusionGemma 26B-A4B?

Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team and DiffusionGemma 26B-A4B is developed by Google.

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