Gemma 3n E4B vs Ministral 3 (14B Reasoning 2512) Comparison

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and Ministral 3 (14B Reasoning 2512) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Google
Gemma 3n E4B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input tokens$0.20
Output tokens$0.20
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

6.0B diff

Ministral 3 (14B Reasoning 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 Reasoning 2512)
14.0Bparameters
8.0B
Gemma 3n E4B
14.0B
Ministral 3 (14B Reasoning 2512)

Context Window

Maximum input and output token capacity

Only Ministral 3 (14B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (14B Reasoning 2512) specifies output context (262,100 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B and Ministral 3 (14B Reasoning 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 Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Ministral 3 (14B Reasoning 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 Reasoning 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 Reasoning 2512) was released on 2025-12-04.

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

Gemma 3n E4B

Jun 26, 2025

8 months ago

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

3 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 Reasoning 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 Reasoning 2512)'s cutoff date.

Gemma 3n E4B

Jun 2024

Ministral 3 (14B Reasoning 2512)

Outputs Comparison

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Key Takeaways

Larger context window (262,100 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Mistral AI
Ministral 3 (14B Reasoning 2512)