Model Comparison

Gemma 3n E4B vs GPT OSS 20B

Comparing Gemma 3n E4B and GPT OSS 20B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and GPT OSS 20B don'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

12.9B diff

GPT OSS 20B has 12.9B more parameters than Gemma 3n E4B, making it 161.3% larger.

Google
Gemma 3n E4B
8.0Bparameters
OpenAI
GPT OSS 20B
20.9Bparameters
8.0B
Gemma 3n E4B
20.9B
GPT OSS 20B

Context Window

Maximum input and output token capacity

Only GPT OSS 20B specifies input context (131,072 tokens). Only GPT OSS 20B specifies output context (32,768 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
OpenAI
GPT OSS 20B
Input131,072 tokens
Output32,768 tokens
Tue May 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas GPT OSS 20B 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

GPT OSS 20B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while GPT OSS 20B 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

GPT OSS 20B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while GPT OSS 20B was released on 2025-08-05.

GPT OSS 20B is 1 month newer than Gemma 3n E4B.

Gemma 3n E4B

Jun 26, 2025

10 months ago

GPT OSS 20B

Aug 5, 2025

9 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while GPT OSS 20B'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 GPT OSS 20B's cutoff date.

Gemma 3n E4B

Jun 2024

GPT OSS 20B

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Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
OpenAI
Larger context window (131,072 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B
OpenAI
GPT OSS 20B

FAQ

Common questions about Gemma 3n E4B vs GPT OSS 20B.

Which is better, Gemma 3n E4B or GPT OSS 20B?

Gemma 3n E4B (Google) and GPT OSS 20B (OpenAI) 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 GPT OSS 20B in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. GPT OSS 20B scores MMLU: 85.3%, CodeForces: 74.3%, GPQA: 71.5%, TAU-bench Retail: 54.8%, HealthBench: 42.5%.

What are the context window sizes for Gemma 3n E4B and GPT OSS 20B?

Gemma 3n E4B supports an unknown number of tokens and GPT OSS 20B supports 131K 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 GPT OSS 20B?

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 GPT OSS 20B?

Gemma 3n E4B is developed by Google and GPT OSS 20B is developed by OpenAI.