Model Comparison

Qwen3.7 Max vs Gemma 4 E2BWhich is better in 2026?

Qwen3.7 Max significantly outperforms across most benchmarks.

Verdict: Qwen3.7 Max vs Gemma 4 E2B — which is better?

Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and Gemma 4 E2B (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 4 benchmarks (GPQA, LiveCodeBench v6, MMLU-Pro, MMMLU), while Gemma 4 E2B 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 4 of 4 shared benchmarks
  • you want the most recent training data — it shipped May 2026

Choose Gemma 4 E2B if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Qwen3.7 Max outperforms in 4 benchmarks (GPQA, LiveCodeBench v6, MMLU-Pro, MMMLU), while Gemma 4 E2B 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
Gemma 4 E2B
Input- tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 4 E2B supports multimodal inputs, whereas Qwen3.7 Max does not.

Gemma 4 E2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.7 Max

Text
Images
Audio
Video

Gemma 4 E2B

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.7 Max is licensed under a proprietary license, while Gemma 4 E2B 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

Gemma 4 E2B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.7 Max was released on 2026-05-19, while Gemma 4 E2B was released on 2026-04-02.

Qwen3.7 Max is 2 months newer than Gemma 4 E2B.

Qwen3.7 Max

May 19, 2026

1 months ago

1mo newer
Gemma 4 E2B

Apr 2, 2026

3 months ago

Knowledge Cutoff

When training data ends

Gemma 4 E2B has a documented knowledge cutoff of 2025-01-01, while Qwen3.7 Max's cutoff date is not specified.

We can confirm Gemma 4 E2B's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen3.7 Max's cutoff date.

Qwen3.7 Max

—

Gemma 4 E2B

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 43.4%)
Higher LiveCodeBench v6 score (91.6% vs 44.0%)
Higher MMLU-Pro score (89.6% vs 60.0%)
Higher MMMLU score (90.3% vs 67.4%)
Google
Supports multimodal inputs
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.7 Max and Gemma 4 E2B side-by-side, then vote on the output you prefer.

Qwen3.7 Max
✓ Preferred
Gemma 4 E2B
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Google
Gemma 4 E2B

FAQ

Common questions about Qwen3.7 Max vs Gemma 4 E2B.

Which is better, Qwen3.7 Max or Gemma 4 E2B?

Qwen3.7 Max significantly outperforms across most benchmarks. Qwen3.7 Max is made by Alibaba Cloud / Qwen Team and Gemma 4 E2B 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 Gemma 4 E2B 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%. Gemma 4 E2B scores MMMLU: 67.4%, MMLU-Pro: 60.0%, MathVision: 52.4%, MMMU-Pro: 44.2%, LiveCodeBench v6: 44.0%.

What are the context window sizes for Qwen3.7 Max and Gemma 4 E2B?

Qwen3.7 Max supports 1.0M tokens and Gemma 4 E2B 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 Gemma 4 E2B?

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 Gemma 4 E2B?

Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team and Gemma 4 E2B is developed by Google.

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