Model Comparison

Gemma 3n E2B vs Ministral 3 (14B Base 2512)

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

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E2B 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.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemma 3n E2B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Ministral 3 (14B Base 2512)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

6.0B diff

Ministral 3 (14B Base 2512) has 6.0B more parameters than Gemma 3n E2B, making it 75.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
Mistral AI
Ministral 3 (14B Base 2512)
14.0Bparameters
8.0B
Gemma 3n E2B
14.0B
Ministral 3 (14B Base 2512)

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B 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 E2B

Text
Images
Audio
Video

Ministral 3 (14B Base 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B 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 E2B

Proprietary

Closed source

Ministral 3 (14B Base 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B 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 E2B.

Gemma 3n E2B

Jun 26, 2025

9 months ago

Ministral 3 (14B Base 2512)

Dec 4, 2025

4 months ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B 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 E2B'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 E2B

Jun 2024

Ministral 3 (14B Base 2512)

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Outputs Comparison

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Key Takeaways

Google
Mistral AI
Has open weights
Higher TriviaQA score (74.9% vs 60.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
Mistral AI
Ministral 3 (14B Base 2512)

FAQ

Common questions about Gemma 3n E2B vs Ministral 3 (14B Base 2512)

Ministral 3 (14B Base 2512) significantly outperforms across most benchmarks. Gemma 3n E2B 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.
Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Ministral 3 (14B Base 2512) scores MMLU-Redux: 82.0%, MMLU: 79.4%, TriviaQA: 74.9%, Multilingual MMLU: 74.2%, MATH (CoT): 67.6%.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B is developed by Google and Ministral 3 (14B Base 2512) is developed by Mistral AI.