Model Comparison
Gemma 3n E4B Instructed vs Qwen3 32BWhich is better in 2026?
Qwen3 32B significantly outperforms across most benchmarks. Qwen3 32B is 166.7x cheaper per token.
Verdict: Gemma 3n E4B Instructed vs Qwen3 32B — which is better?
Gemma 3n E4B Instructed (by Google) and Qwen3 32B (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.
Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Qwen3 32B is better at 2 benchmarks (AIME 2025, LiveCodeBench). Qwen3 32B significantly outperforms across most benchmarks.
On price, Qwen3 32B is roughly 166.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 32B also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemma 3n E4B Instructed if…
- you want the most recent training data — it shipped Jun 2025
Choose Qwen3 32B if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 166.7x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E4B Instructed outperforms in 0 benchmarks, while Qwen3 32B is better at 2 benchmarks (AIME 2025, LiveCodeBench).
Qwen3 32B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 200.0x more expensive than Qwen3 32B ($0.10/1M tokens).
For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 133.3x more expensive than Qwen3 32B ($0.30/1M tokens).
In conclusion, Gemma 3n E4B Instructed is more expensive than Qwen3 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 32B has 24.8B more parameters than Gemma 3n E4B Instructed, making it 310.0% larger.
Context Window
Maximum input and output token capacity
Qwen3 32B accepts 128,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Qwen3 32B can generate longer responses up to 128,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.
Input Capabilities
Supported data types and modalities
Gemma 3n E4B Instructed supports multimodal inputs, whereas Qwen3 32B does not.
Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3n E4B Instructed
Qwen3 32B
License
Usage and distribution terms
Gemma 3n E4B Instructed 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 E4B Instructed was released on 2025-06-26, while Qwen3 32B was released on 2025-04-29.
Gemma 3n E4B Instructed is 2 months newer than Qwen3 32B.
Jun 26, 2025
11 months ago
1mo newerApr 29, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Gemma 3n E4B Instructed has a documented knowledge cutoff of 2024-06-01, while Qwen3 32B's cutoff date is not specified.
We can confirm Gemma 3n E4B Instructed'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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Provider Availability
Gemma 3n E4B Instructed is available from Together. Qwen3 32B is available from DeepInfra, Novita, Sambanova.
Gemma 3n E4B Instructed
Qwen3 32B
Outputs Comparison
Key Takeaways
Qwen3 32B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemma 3n E4B Instructed vs Qwen3 32B.