Model Comparison

Gemma 3n E4B vs Mistral Large 2

Comparing Gemma 3n E4B and Mistral Large 2 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and Mistral Large 2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

115.0B diff

Mistral Large 2 has 115.0B more parameters than Gemma 3n E4B, making it 1437.5% larger.

Google
Gemma 3n E4B
8.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
8.0B
Gemma 3n E4B
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Sun May 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B supports multimodal inputs, whereas Mistral Large 2 does not.

Gemma 3n E4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B

Text
Images
Audio
Video

Mistral Large 2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Mistral Large 2 uses Mistral Research License.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3n E4B

Proprietary

Closed source

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while Mistral Large 2 was released on 2024-07-24.

Gemma 3n E4B is 11 months newer than Mistral Large 2.

Gemma 3n E4B

Jun 26, 2025

10 months ago

11mo newer
Mistral Large 2

Jul 24, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while Mistral Large 2'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 Mistral Large 2's cutoff date.

Gemma 3n E4B

Jun 2024

Mistral Large 2

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Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Mistral AI
Larger context window (128,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Mistral AI
Mistral Large 2

FAQ

Common questions about Gemma 3n E4B vs Mistral Large 2.

Which is better, Gemma 3n E4B or Mistral Large 2?

Gemma 3n E4B (Google) and Mistral Large 2 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3n E4B compare to Mistral Large 2 in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

What are the context window sizes for Gemma 3n E4B and Mistral Large 2?

Gemma 3n E4B supports an unknown number of tokens and Mistral Large 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E4B and Mistral Large 2?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and Mistral Large 2?

Gemma 3n E4B is developed by Google and Mistral Large 2 is developed by Mistral AI.