Model Comparison

Gemma 3n E2B vs Mistral Small

Comparing Gemma 3n E2B and Mistral Small across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

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

Arena Performance

Human preference votes

Model Size

Parameter count comparison

14.0B diff

Mistral Small has 14.0B more parameters than Gemma 3n E2B, making it 175.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
Mistral AI
Mistral Small
22.0Bparameters
8.0B
Gemma 3n E2B
22.0B
Mistral Small

Context Window

Maximum input and output token capacity

Only Mistral Small specifies input context (32,768 tokens). Only Mistral Small specifies output context (32,768 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas Mistral Small 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

Mistral Small

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Mistral Small uses Mistral Research License.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3n E2B

Proprietary

Closed source

Mistral Small

Mistral Research License

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Mistral Small was released on 2024-09-17.

Gemma 3n E2B is 9 months newer than Mistral Small.

Gemma 3n E2B

Jun 26, 2025

10 months ago

9mo newer
Mistral Small

Sep 17, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Mistral Small's cutoff date is not specified.

We can confirm Gemma 3n E2B's training data extends to 2024-06-01, but cannot make a direct comparison without Mistral Small's cutoff date.

Gemma 3n E2B

Jun 2024

Mistral Small

—

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Mistral AI
Larger context window (32,768 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
Mistral AI
Mistral Small

FAQ

Common questions about Gemma 3n E2B vs Mistral Small.

Which is better, Gemma 3n E2B or Mistral Small?

Gemma 3n E2B (Google) and Mistral Small (Mistral AI) 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 Mistral Small in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%.

What are the context window sizes for Gemma 3n E2B and Mistral Small?

Gemma 3n E2B supports an unknown number of tokens and Mistral Small supports 33K 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 Mistral Small?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B and Mistral Small?

Gemma 3n E2B is developed by Google and Mistral Small is developed by Mistral AI.