Model Comparison

Devstral Small 1.1 vs Gemma 3n E4B

Comparing Devstral Small 1.1 and Gemma 3n E4B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Small 1.1 and Gemma 3n E4B 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

16.0B diff

Devstral Small 1.1 has 16.0B more parameters than Gemma 3n E4B, making it 200.0% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
Google
Gemma 3n E4B
8.0Bparameters
24.0B
Devstral Small 1.1
8.0B
Gemma 3n E4B

Context Window

Maximum input and output token capacity

Only Devstral Small 1.1 specifies input context (128,000 tokens). Only Devstral Small 1.1 specifies output context (128,000 tokens).

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Google
Gemma 3n E4B
Input- tokens
Output- tokens
Sat May 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas Devstral Small 1.1 does not.

Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Devstral Small 1.1

Text
Images
Audio
Video

Gemma 3n E4B

Text
Images
Audio
Video

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, while Gemma 3n E4B uses a proprietary license.

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

Devstral Small 1.1

Apache 2.0

Open weights

Gemma 3n E4B

Proprietary

Closed source

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Gemma 3n E4B was released on 2025-06-26.

Devstral Small 1.1 is 1 month newer than Gemma 3n E4B.

Devstral Small 1.1

Jul 11, 2025

9 months ago

2w newer
Gemma 3n E4B

Jun 26, 2025

10 months ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while Devstral Small 1.1'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 Devstral Small 1.1's cutoff date.

Devstral Small 1.1

—

Gemma 3n E4B

Jun 2024

Outputs Comparison

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Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
Has open weights
Google
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
Google
Gemma 3n E4B

FAQ

Common questions about Devstral Small 1.1 vs Gemma 3n E4B.

Which is better, Devstral Small 1.1 or Gemma 3n E4B?

Devstral Small 1.1 (Mistral AI) and Gemma 3n E4B (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Devstral Small 1.1 compare to Gemma 3n E4B in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%.

What are the context window sizes for Devstral Small 1.1 and Gemma 3n E4B?

Devstral Small 1.1 supports 128K tokens and Gemma 3n E4B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Devstral Small 1.1 and Gemma 3n E4B?

Key differences include multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Small 1.1 and Gemma 3n E4B?

Devstral Small 1.1 is developed by Mistral AI and Gemma 3n E4B is developed by Google.