Model Comparison

Gemma 3n E4B vs Magistral Small 2506Which is better in 2026?

Comparing Gemma 3n E4B and Magistral Small 2506 across benchmarks, pricing, and capabilities.

Verdict: Gemma 3n E4B vs Magistral Small 2506 — which is better?

Gemma 3n E4B (by Google) and Magistral Small 2506 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Gemma 3n E4B if…

  • you want the most recent training data — it shipped Jun 2025

Choose Magistral Small 2506 if…

  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and Magistral Small 2506don'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

Magistral Small 2506 has 16.0B more parameters than Gemma 3n E4B, making it 200.0% larger.

Google
Gemma 3n E4B
8.0Bparameters
Mistral AI
Magistral Small 2506
24.0Bparameters
8.0B
Gemma 3n E4B
24.0B
Magistral Small 2506

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas Magistral Small 2506 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

Magistral Small 2506

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Magistral Small 2506 uses Apache 2.0.

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

Gemma 3n E4B

Proprietary

Closed source

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while Magistral Small 2506 was released on 2025-06-10.

Gemma 3n E4B is 1 month newer than Magistral Small 2506.

Gemma 3n E4B

Jun 26, 2025

12 months ago

2w newer
Magistral Small 2506

Jun 10, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a knowledge cutoff of 2024-06-01, while Magistral Small 2506 has a cutoff of 2025-06-01.

Magistral Small 2506 has more recent training data (up to 2025-06-01), making it potentially better informed about events through that date compared to Gemma 3n E4B (2024-06-01).

Gemma 3n E4B

Jun 2024

Magistral Small 2506

Jun 2025

1 yr newer

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Mistral AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Mistral AI
Magistral Small 2506

FAQ

Common questions about Gemma 3n E4B vs Magistral Small 2506.

Which is better, Gemma 3n E4B or Magistral Small 2506?

Gemma 3n E4B (Google) and Magistral Small 2506 (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 E4B compare to Magistral Small 2506 in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the main differences between Gemma 3n E4B and Magistral Small 2506?

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

Who makes Gemma 3n E4B and Magistral Small 2506?

Gemma 3n E4B is developed by Google and Magistral Small 2506 is developed by Mistral AI.

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