Model Comparison

Gemma 3n E2B vs Ministral 3 (8B Reasoning 2512)

Comparing Gemma 3n E2B and Ministral 3 (8B Reasoning 2512) across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and Ministral 3 (8B 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
Tue Apr 14 2026 • llm-stats.com
Google
Gemma 3n E2B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

0.0M diff

Ministral 3 (8B Reasoning 2512) has 0.0B more parameters than Gemma 3n E2B, making it 0.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
8.0B
Gemma 3n E2B
8.0B
Ministral 3 (8B Reasoning 2512)

Context Window

Maximum input and output token capacity

Only Ministral 3 (8B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (8B Reasoning 2512) specifies output context (262,100 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B and Ministral 3 (8B Reasoning 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 (8B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Ministral 3 (8B Reasoning 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 (8B Reasoning 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 (8B Reasoning 2512) was released on 2025-12-04.

Ministral 3 (8B Reasoning 2512) is 5 months newer than Gemma 3n E2B.

Gemma 3n E2B

Jun 26, 2025

9 months ago

Ministral 3 (8B Reasoning 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 (8B Reasoning 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 (8B Reasoning 2512)'s cutoff date.

Gemma 3n E2B

Jun 2024

Ministral 3 (8B Reasoning 2512)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
Mistral AI
Ministral 3 (8B Reasoning 2512)

FAQ

Common questions about Gemma 3n E2B vs Ministral 3 (8B Reasoning 2512)

Gemma 3n E2B (Google) and Ministral 3 (8B Reasoning 2512) (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%.
Gemma 3n E2B supports an unknown number of tokens and Ministral 3 (8B Reasoning 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
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 (8B Reasoning 2512) is developed by Mistral AI.