Model Comparison

Gemma 3n E4B vs Mistral Large 3Which is better in 2026?

Mistral Large 3 significantly outperforms across most benchmarks.

Verdict: Gemma 3n E4B vs Mistral Large 3 — which is better?

Gemma 3n E4B (by Google) and Mistral Large 3 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 3n E4B outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (TriviaQA). Mistral Large 3 significantly outperforms across most benchmarks.

Choose Gemma 3n E4B if…

  • you are already invested in the Google ecosystem

Choose Mistral Large 3 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E4B outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (TriviaQA).

Mistral Large 3 significantly outperforms across most benchmarks.

Fri Jun 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

667.0B diff

Mistral Large 3 has 667.0B more parameters than Gemma 3n E4B, making it 8337.5% larger.

Google
Gemma 3n E4B
8.0Bparameters
Mistral AI
Mistral Large 3
675.0Bparameters
8.0B
Gemma 3n E4B
675.0B
Mistral Large 3

Context Window

Maximum input and output token capacity

Only Mistral Large 3 specifies input context (128,000 tokens). Only Mistral Large 3 specifies output context (8,192 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Fri Jun 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B and Mistral Large 3 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E4B

Text
Images
Audio
Video

Mistral Large 3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Mistral Large 3 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

Mistral Large 3

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while Mistral Large 3 was released on 2025-09-01.

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

Gemma 3n E4B

Jun 26, 2025

11 months ago

Mistral Large 3

Sep 1, 2025

9 months ago

2mo newer

Knowledge Cutoff

When training data ends

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

Gemma 3n E4B

Jun 2024

Mistral Large 3

—

Outputs Comparison

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Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Mistral AI
Larger context window (128,000 tokens)
Has open weights
Higher TriviaQA score (74.9% vs 70.2%)

Detailed Comparison

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

FAQ

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

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

Mistral Large 3 significantly outperforms across most benchmarks. Gemma 3n E4B is made by Google and Mistral Large 3 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

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

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%.

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

Gemma 3n E4B supports an unknown number of tokens and Mistral Large 3 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 3?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and Mistral Large 3?

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

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