Model Comparison

Gemma 3n E2B vs GPT-3.5 Turbo

GPT-3.5 Turbo significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E2B outperforms in 0 benchmarks, while GPT-3.5 Turbo is better at 1 benchmark (DROP).

GPT-3.5 Turbo significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-3.5 Turbo specifies input context (16,385 tokens). Only GPT-3.5 Turbo specifies output context (4,096 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas GPT-3.5 Turbo 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

Text
Images
Audio
Video

GPT-3.5 Turbo

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-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while GPT-3.5 Turbo was released on 2023-03-21.

Gemma 3n E2B is 28 months newer than GPT-3.5 Turbo.

Gemma 3n E2B

Jun 26, 2025

11 months ago

2.3yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.2 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a knowledge cutoff of 2024-06-01, while GPT-3.5 Turbo has a cutoff of 2021-09-30.

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-3.5 Turbo (2021-09-30).

Gemma 3n E2B

Jun 2024

2.8 yr newer
GPT-3.5 Turbo

Sep 2021

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Supports multimodal inputs
OpenAI
Larger context window (16,385 tokens)
Higher DROP score (70.2% vs 53.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
OpenAI
GPT-3.5 Turbo

FAQ

Common questions about Gemma 3n E2B vs GPT-3.5 Turbo.

Which is better, Gemma 3n E2B or GPT-3.5 Turbo?

GPT-3.5 Turbo significantly outperforms across most benchmarks. Gemma 3n E2B is made by Google and GPT-3.5 Turbo 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-3.5 Turbo in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

What are the context window sizes for Gemma 3n E2B and GPT-3.5 Turbo?

Gemma 3n E2B supports an unknown number of tokens and GPT-3.5 Turbo supports 16K 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 E2B and GPT-3.5 Turbo?

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B and GPT-3.5 Turbo?

Gemma 3n E2B is developed by Google and GPT-3.5 Turbo is developed by OpenAI.