Model Comparison

Gemma 3n E4B vs Qwen3-235B-A22B-Thinking-2507Which is better in 2026?

Comparing Gemma 3n E4B and Qwen3-235B-A22B-Thinking-2507 across benchmarks, pricing, and capabilities.

Verdict: Gemma 3n E4B vs Qwen3-235B-A22B-Thinking-2507 — which is better?

Gemma 3n E4B (by Google) and Qwen3-235B-A22B-Thinking-2507 (by Alibaba Cloud / Qwen Team) 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.

Choose Gemma 3n E4B if…

  • you are already invested in the Google ecosystem

Choose Qwen3-235B-A22B-Thinking-2507 if…

  • you want the most recent training data — it shipped Jul 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and Qwen3-235B-A22B-Thinking-2507don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

227.0B diff

Qwen3-235B-A22B-Thinking-2507 has 227.0B more parameters than Gemma 3n E4B, making it 2837.5% larger.

Google
Gemma 3n E4B
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
8.0B
Gemma 3n E4B
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B

Text
Images
Audio
Video

Qwen3-235B-A22B-Thinking-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

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

Gemma 3n E4B

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 1 month newer than Gemma 3n E4B.

Gemma 3n E4B

Jun 26, 2025

1.1 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

1.0 years ago

4w newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while Qwen3-235B-A22B-Thinking-2507's cutoff date is not specified.

We can confirm Gemma 3n E4B's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3-235B-A22B-Thinking-2507's cutoff date.

Gemma 3n E4B

Jun 2024

Qwen3-235B-A22B-Thinking-2507

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E4B and Qwen3-235B-A22B-Thinking-2507 side-by-side, then vote on the output you prefer.

Gemma 3n E4B
✓ Preferred
Qwen3-235B-A22B-Thinking-2507
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Gemma 3n E4B vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemma 3n E4B or Qwen3-235B-A22B-Thinking-2507?

Gemma 3n E4B (Google) and Qwen3-235B-A22B-Thinking-2507 (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3n E4B compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.

What are the context window sizes for Gemma 3n E4B and Qwen3-235B-A22B-Thinking-2507?

Gemma 3n E4B supports an unknown number of tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E4B and Qwen3-235B-A22B-Thinking-2507?

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

Who makes Gemma 3n E4B and Qwen3-235B-A22B-Thinking-2507?

Gemma 3n E4B is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.

Related comparisons