Model Comparison

Gemma 3n E2B vs GPT-4.1 nano

Comparing Gemma 3n E2B and GPT-4.1 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-4.1 nano don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemma 3n E2B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
GPT-4.1 nano
Input tokens$0.10
Output tokens$0.40
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only GPT-4.1 nano specifies input context (1,047,576 tokens). Only GPT-4.1 nano specifies output context (32,768 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B and GPT-4.1 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-4.1 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-4.1 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while GPT-4.1 nano was released on 2025-04-14.

Gemma 3n E2B is 2 months newer than GPT-4.1 nano.

Gemma 3n E2B

Jun 26, 2025

9 months ago

2mo newer
GPT-4.1 nano

Apr 14, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a knowledge cutoff of 2024-06-01, while GPT-4.1 nano has a cutoff of 2024-05-31.

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-4.1 nano (2024-05-31).

Gemma 3n E2B

Jun 2024

1 mo newer
GPT-4.1 nano

May 2024

Outputs Comparison

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Key Takeaways

Google
OpenAI
Larger context window (1,047,576 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
OpenAI
GPT-4.1 nano

FAQ

Common questions about Gemma 3n E2B vs GPT-4.1 nano

Gemma 3n E2B (Google) and GPT-4.1 nano (OpenAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%.
Gemma 3n E2B supports an unknown number of tokens and GPT-4.1 nano supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Gemma 3n E2B is developed by Google and GPT-4.1 nano is developed by OpenAI.