Model Comparison

Gemma 3n E2B Instructed vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 5 benchmarks (AIME 2025, GPQA, Include, MMLU-Pro, MMLU-ProX).

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Fri May 08 2026 • llm-stats.com

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 E2B Instructed, making it 2837.5% larger.

Gemma 3n E2B Instructed

8.0Bparameters

Qwen3-235B-A22B-Thinking-2507

235.0Bparameters

8.0B

Gemma 3n E2B Instructed

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).

Gemma 3n E2B Instructed

Input- tokens

Output- tokens

Qwen3-235B-A22B-Thinking-2507

Input262,144 tokens

Output131,072 tokens

Fri May 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

Gemma 3n E2B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B Instructed

Text

Images

Audio

Video

Qwen3-235B-A22B-Thinking-2507

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3n E2B Instructed 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 E2B Instructed

Proprietary

Closed source

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed 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 E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

10 months ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

9 months ago

4w newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed 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 E2B Instructed'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 E2B Instructed

Jun 2024

Qwen3-235B-A22B-Thinking-2507

—

Outputs Comparison

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Key Takeaways

Gemma 3n E2B Instructed

View details

Google

Supports multimodal inputs

Qwen3-235B-A22B-Thinking-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Has open weights

Higher AIME 2025 score (92.3% vs 6.7%)

Higher GPQA score (81.1% vs 24.8%)

Higher Include score (81.0% vs 38.6%)

Higher MMLU-Pro score (84.4% vs 40.5%)

Higher MMLU-ProX score (81.0% vs 8.1%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3n E2B Instructed	Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Gemma 3n E2B Instructed vs Qwen3-235B-A22B-Thinking-2507.

Which is better, Gemma 3n E2B Instructed or Qwen3-235B-A22B-Thinking-2507?

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and Qwen3-235B-A22B-Thinking-2507 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 Gemma 3n E2B Instructed compare to Qwen3-235B-A22B-Thinking-2507 in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. 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 E2B Instructed and Qwen3-235B-A22B-Thinking-2507?

Gemma 3n E2B Instructed 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 E2B Instructed 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 E2B Instructed and Qwen3-235B-A22B-Thinking-2507?

Gemma 3n E2B Instructed is developed by Google and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.