Model Comparison

Gemma 3n E4B vs Pixtral LargeWhich is better in 2026?

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

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

Gemma 3n E4B (by Google) and Pixtral Large (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.

Choose Gemma 3n E4B if…

  • you want the most recent training data — it shipped Jun 2025

Choose Pixtral Large if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and Pixtral Largedon'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

116.0B diff

Pixtral Large has 116.0B more parameters than Gemma 3n E4B, making it 1450.0% larger.

Google
Gemma 3n E4B
8.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
8.0B
Gemma 3n E4B
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

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

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemma 3n E4B

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Gemma 3n E4B

Proprietary

Closed source

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while Pixtral Large was released on 2024-11-18.

Gemma 3n E4B is 7 months newer than Pixtral Large.

Gemma 3n E4B

Jun 26, 2025

1.1 years ago

7mo newer
Pixtral Large

Nov 18, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

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

Gemma 3n E4B

Jun 2024

Pixtral Large

—

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E4B and Pixtral Large side-by-side, then vote on the output you prefer.

Gemma 3n E4B
✓ Preferred
Pixtral Large
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Mistral AI
Pixtral Large

FAQ

Common questions about Gemma 3n E4B vs Pixtral Large.

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

Gemma 3n E4B (Google) and Pixtral Large (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 Pixtral Large in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

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

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

Key differences include licensing (Proprietary vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and Pixtral Large?

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

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