Model Comparison

Gemma 3n E2B vs GPT-5 nano

Comparing Gemma 3n E2B and GPT-5 nano across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and GPT-5 nano don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5 nano specifies input context (400,000 tokens). Only GPT-5 nano specifies output context (128,000 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
OpenAI
GPT-5 nano
Input400,000 tokens
Output128,000 tokens
Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B and GPT-5 nano support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E2B

Text
Images
Audio
Video

GPT-5 nano

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemma 3n E2B

Proprietary

Closed source

GPT-5 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while GPT-5 nano was released on 2025-08-07.

GPT-5 nano is 1 month newer than Gemma 3n E2B.

Gemma 3n E2B

Jun 26, 2025

10 months ago

GPT-5 nano

Aug 7, 2025

9 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a knowledge cutoff of 2024-06-01, while GPT-5 nano has a cutoff of 2024-05-30.

Gemma 3n E2B has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to GPT-5 nano (2024-05-30).

Gemma 3n E2B

Jun 2024

1 mo newer
GPT-5 nano

May 2024

Outputs Comparison

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Key Takeaways

Google

No standout differentiators in the data we have for this pair.

OpenAI
Larger context window (400,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
OpenAI
GPT-5 nano

FAQ

Common questions about Gemma 3n E2B vs GPT-5 nano.

Which is better, Gemma 3n E2B or GPT-5 nano?

Gemma 3n E2B (Google) and GPT-5 nano (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 E2B compare to GPT-5 nano in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. GPT-5 nano scores AIME 2025: 85.2%, HMMT 2025: 75.6%, GPQA: 71.2%, FrontierMath: 9.6%, Humanity's Last Exam: 8.7%.

What are the context window sizes for Gemma 3n E2B and GPT-5 nano?

Gemma 3n E2B supports an unknown number of tokens and GPT-5 nano supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Gemma 3n E2B and GPT-5 nano?

Gemma 3n E2B is developed by Google and GPT-5 nano is developed by OpenAI.