Model Comparison

Gemma 3n E4B vs o1-mini

Comparing Gemma 3n E4B and o1-mini across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and o1-mini 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
Wed Apr 29 2026 • llm-stats.com
Google
Gemma 3n E4B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only o1-mini specifies input context (128,000 tokens). Only o1-mini specifies output context (65,536 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Wed Apr 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas o1-mini 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

o1-mini

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 E4B

Proprietary

Closed source

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while o1-mini was released on 2024-09-12.

Gemma 3n E4B is 10 months newer than o1-mini.

Gemma 3n E4B

Jun 26, 2025

10 months ago

9mo newer
o1-mini

Sep 12, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while o1-mini'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 o1-mini's cutoff date.

Gemma 3n E4B

Jun 2024

o1-mini

—

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
OpenAI
Larger context window (128,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B
OpenAI
o1-mini

FAQ

Common questions about Gemma 3n E4B vs o1-mini

Gemma 3n E4B (Google) and o1-mini (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 E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.
Gemma 3n E4B supports an unknown number of tokens and o1-mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E4B is developed by Google and o1-mini is developed by OpenAI.