Model Comparison

Gemma 3n E2B vs GPT-4

GPT-4 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3n E2B outperforms in 0 benchmarks, while GPT-4 is better at 3 benchmarks (DROP, HellaSwag, Winogrande).

GPT-4 significantly outperforms across most benchmarks.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Tue May 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B and GPT-4 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-4

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-4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while GPT-4 was released on 2023-06-13.

Gemma 3n E2B is 25 months newer than GPT-4.

Gemma 3n E2B

Jun 26, 2025

11 months ago

2.0yr newer
GPT-4

Jun 13, 2023

3.0 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a knowledge cutoff of 2024-06-01, while GPT-4 has a cutoff of 2022-12-31.

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-4 (2022-12-31).

Gemma 3n E2B

Jun 2024

1.5 yr newer
GPT-4

Dec 2022

Outputs Comparison

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Key Takeaways

Google

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

OpenAI
Larger context window (32,768 tokens)
Higher DROP score (80.9% vs 53.9%)
Higher HellaSwag score (95.3% vs 72.2%)
Higher Winogrande score (87.5% vs 66.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
OpenAI
GPT-4

FAQ

Common questions about Gemma 3n E2B vs GPT-4.

Which is better, Gemma 3n E2B or GPT-4?

GPT-4 significantly outperforms across most benchmarks. Gemma 3n E2B is made by Google and GPT-4 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E2B compare to GPT-4 in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%.

What are the context window sizes for Gemma 3n E2B and GPT-4?

Gemma 3n E2B supports an unknown number of tokens and GPT-4 supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Gemma 3n E2B and GPT-4?

Gemma 3n E2B is developed by Google and GPT-4 is developed by OpenAI.