Model Comparison

Gemma 3n E2B vs Qwen3-235B-A22B-Instruct-2507

Comparing Gemma 3n E2B and Qwen3-235B-A22B-Instruct-2507 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and Qwen3-235B-A22B-Instruct-2507 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers

Thu Apr 30 2026 • llm-stats.com

Gemma 3n E2B

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

Qwen3-235B-A22B-Instruct-2507

Input tokens$0.15

Output tokens$0.80

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

227.0B diff

Qwen3-235B-A22B-Instruct-2507 has 227.0B more parameters than Gemma 3n E2B, making it 2837.5% larger.

Gemma 3n E2B

8.0Bparameters

Qwen3-235B-A22B-Instruct-2507

235.0Bparameters

8.0B

Gemma 3n E2B

235.0B

Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

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

Gemma 3n E2B

Input- tokens

Output- tokens

Qwen3-235B-A22B-Instruct-2507

Input262,144 tokens

Output131,072 tokens

Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemma 3n E2B

Text

Images

Audio

Video

Qwen3-235B-A22B-Instruct-2507

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Qwen3-235B-A22B-Instruct-2507 uses Apache 2.0.

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

Gemma 3n E2B

Proprietary

Closed source

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 1 month newer than Gemma 3n E2B.

Gemma 3n E2B

Jun 26, 2025

10 months ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

9 months ago

3w newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Qwen3-235B-A22B-Instruct-2507's cutoff date is not specified.

We can confirm Gemma 3n E2B's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3-235B-A22B-Instruct-2507's cutoff date.

Gemma 3n E2B

Jun 2024

Qwen3-235B-A22B-Instruct-2507

—

Outputs Comparison

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Key Takeaways

Gemma 3n E2B

View details

Google

Supports multimodal inputs

Qwen3-235B-A22B-Instruct-2507

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)

Has open weights

Detailed Comparison

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

FAQ

Common questions about Gemma 3n E2B vs Qwen3-235B-A22B-Instruct-2507

Gemma 3n E2B (Google) and Qwen3-235B-A22B-Instruct-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.

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

Gemma 3n E2B supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

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

Gemma 3n E2B vs Qwen3-235B-A22B-Instruct-2507

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Gemma 3n E2B

Qwen3-235B-A22B-Instruct-2507

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Gemma 3n E2B

Qwen3-235B-A22B-Instruct-2507

Detailed Comparison

FAQ

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

How does Gemma 3n E2B compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

What are the context window sizes for Gemma 3n E2B and Qwen3-235B-A22B-Instruct-2507?

What are the main differences between Gemma 3n E2B and Qwen3-235B-A22B-Instruct-2507?

Who makes Gemma 3n E2B and Qwen3-235B-A22B-Instruct-2507?