Model Comparison
Gemma 3n E2B vs Qwen3 32B
Comparing Gemma 3n E2B and Qwen3 32B across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E2B and Qwen3 32B 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.
Model Size
Parameter count comparison
Qwen3 32B has 24.8B more parameters than Gemma 3n E2B, making it 310.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).
Input Capabilities
Supported data types and modalities
Gemma 3n E2B supports multimodal inputs, whereas Qwen3 32B 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
Qwen3 32B
License
Usage and distribution terms
Gemma 3n E2B is licensed under a proprietary license, while Qwen3 32B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemma 3n E2B was released on 2025-06-26, while Qwen3 32B was released on 2025-04-29.
Gemma 3n E2B is 2 months newer than Qwen3 32B.
Jun 26, 2025
9 months ago
1mo newerApr 29, 2025
11 months ago
Knowledge Cutoff
When training data ends
Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Qwen3 32B'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 32B's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Gemma 3n E2B
View details
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemma 3n E2B vs Qwen3 32B