Model Comparison

Gemma 3n E4B vs Ministral 3 (14B Base 2512)Which is better in 2026?

Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks.

Verdict: Gemma 3n E4B vs Ministral 3 (14B Base 2512) — which is better?

Gemma 3n E4B (by Google) and Ministral 3 (14B Base 2512) (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.

Gemma 3n E4B outperforms in 0 benchmarks, while Ministral 3 (14B Base 2512) is better at 1 benchmark (TriviaQA). Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks.

Choose Gemma 3n E4B if…

  • you are already invested in the Google ecosystem

Choose Ministral 3 (14B Base 2512) if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E4B outperforms in 0 benchmarks, while Ministral 3 (14B Base 2512) is better at 1 benchmark (TriviaQA).

Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

6.0B diff

Ministral 3 (14B Base 2512) has 6.0B more parameters than Gemma 3n E4B, making it 75.0% larger.

Google
Gemma 3n E4B
8.0Bparameters
Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
8.0B
Gemma 3n E4B
14.0B
Ministral 3 (14B Base 2512)

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B and Ministral 3 (14B Base 2512) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E4B

Text
Images
Audio
Video

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Ministral 3 (14B Base 2512) 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

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while Ministral 3 (14B Base 2512) was released on 2025-12-04.

Ministral 3 (14B Base 2512) is 5 months newer than Gemma 3n E4B.

Gemma 3n E4B

Jun 26, 2025

1.1 years ago

Ministral 3 (14B Base 2512)

Dec 4, 2025

7 months ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while Ministral 3 (14B Base 2512)'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 Ministral 3 (14B Base 2512)'s cutoff date.

Gemma 3n E4B

Jun 2024

Ministral 3 (14B Base 2512)

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Outputs Comparison

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Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Mistral AI
Has open weights
Higher TriviaQA score (74.9% vs 70.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E4B and Ministral 3 (14B Base 2512) side-by-side, then vote on the output you prefer.

Gemma 3n E4B
✓ Preferred
Ministral 3 (14B Base 2512)
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Mistral AI
Ministral 3 (14B Base 2512)

FAQ

Common questions about Gemma 3n E4B vs Ministral 3 (14B Base 2512).

Which is better, Gemma 3n E4B or Ministral 3 (14B Base 2512)?

Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks. Gemma 3n E4B is made by Google and Ministral 3 (14B Base 2512) is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E4B compare to Ministral 3 (14B Base 2512) in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.

What are the main differences between Gemma 3n E4B and Ministral 3 (14B Base 2512)?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and Ministral 3 (14B Base 2512)?

Gemma 3n E4B is developed by Google and Ministral 3 (14B Base 2512) is developed by Mistral AI.

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