Gemma 3n E2B vs Ministral 3 (3B Base 2512) Comparison
Comparing Gemma 3n E2B and Ministral 3 (3B Base 2512) across benchmarks, pricing, and capabilities.
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E2B outperforms in 1 benchmarks (TriviaQA), while Ministral 3 (3B Base 2512) is better at 0 benchmarks.
Gemma 3n E2B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Gemma 3n E2B has 5.0B more parameters than Ministral 3 (3B Base 2512), making it 166.7% larger.
Input Capabilities
Supported data types and modalities
Both Gemma 3n E2B and Ministral 3 (3B Base 2512) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemma 3n E2B
Ministral 3 (3B Base 2512)
License
Usage and distribution terms
Gemma 3n E2B is licensed under a proprietary license, while Ministral 3 (3B Base 2512) uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemma 3n E2B was released on 2025-06-26, while Ministral 3 (3B Base 2512) was released on 2025-12-04.
Ministral 3 (3B Base 2512) is 5 months newer than Gemma 3n E2B.
Jun 26, 2025
8 months ago
Dec 4, 2025
3 months ago
5mo newerKnowledge Cutoff
When training data ends
Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Ministral 3 (3B 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 (3B Base 2512)'s cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Gemma 3n E2B
View detailsMinistral 3 (3B Base 2512)
View detailsMistral AI
Detailed Comparison
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