Model Comparison

Gemma 3n E4B vs Llama 3.2 11B InstructWhich is better in 2026?

Comparing Gemma 3n E4B and Llama 3.2 11B Instruct across benchmarks, pricing, and capabilities.

Verdict: Gemma 3n E4B vs Llama 3.2 11B Instruct — which is better?

Gemma 3n E4B (by Google) and Llama 3.2 11B Instruct (by Meta) 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 Llama 3.2 11B Instruct 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 Llama 3.2 11B Instructdon'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

2.6B diff

Llama 3.2 11B Instruct has 2.6B more parameters than Gemma 3n E4B, making it 32.5% larger.

Google
Gemma 3n E4B
8.0Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
8.0B
Gemma 3n E4B
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B and Llama 3.2 11B Instruct support multimodal inputs.

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

Gemma 3n E4B

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

Gemma 3n E4B

Proprietary

Closed source

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while Llama 3.2 11B Instruct was released on 2024-09-25.

Gemma 3n E4B is 9 months newer than Llama 3.2 11B Instruct.

Gemma 3n E4B

Jun 26, 2025

1.0 years ago

9mo newer
Llama 3.2 11B Instruct

Sep 25, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a knowledge cutoff of 2024-06-01, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.

Gemma 3n E4B has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to Llama 3.2 11B Instruct (2023-12-31).

Gemma 3n E4B

Jun 2024

6 mo newer
Llama 3.2 11B Instruct

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

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

Meta
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 Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.

Gemma 3n E4B
✓ Preferred
Llama 3.2 11B Instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about Gemma 3n E4B vs Llama 3.2 11B Instruct.

Which is better, Gemma 3n E4B or Llama 3.2 11B Instruct?

Gemma 3n E4B (Google) and Llama 3.2 11B Instruct (Meta) 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 Llama 3.2 11B Instruct in benchmarks?

Gemma 3n E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

What are the context window sizes for Gemma 3n E4B and Llama 3.2 11B Instruct?

Gemma 3n E4B supports an unknown number of tokens and Llama 3.2 11B Instruct 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 Llama 3.2 11B Instruct?

Key differences include licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E4B and Llama 3.2 11B Instruct?

Gemma 3n E4B is developed by Google and Llama 3.2 11B Instruct is developed by Meta.

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