Model Comparison

Gemma 3n E2B vs Llama 4 Scout

Comparing Gemma 3n E2B and Llama 4 Scout across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and Llama 4 Scout 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
Fri May 01 2026 • llm-stats.com
Google
Gemma 3n E2B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

101.0B diff

Llama 4 Scout has 101.0B more parameters than Gemma 3n E2B, making it 1262.5% larger.

Google
Gemma 3n E2B
8.0Bparameters
Meta
Llama 4 Scout
109.0Bparameters
8.0B
Gemma 3n E2B
109.0B
Llama 4 Scout

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Fri May 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B and Llama 4 Scout support multimodal inputs.

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

Gemma 3n E2B

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Llama 4 Scout uses Llama 4 Community License Agreement.

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

Gemma 3n E2B

Proprietary

Closed source

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Llama 4 Scout was released on 2025-04-05.

Gemma 3n E2B is 3 months newer than Llama 4 Scout.

Gemma 3n E2B

Jun 26, 2025

10 months ago

2mo newer
Llama 4 Scout

Apr 5, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Llama 4 Scout'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 Llama 4 Scout's cutoff date.

Gemma 3n E2B

Jun 2024

Llama 4 Scout

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Outputs Comparison

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Key Takeaways

Google
Meta
Larger context window (10,000,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
Meta
Llama 4 Scout

FAQ

Common questions about Gemma 3n E2B vs Llama 4 Scout

Gemma 3n E2B (Google) and Llama 4 Scout (Meta) 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%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.
Gemma 3n E2B supports an unknown number of tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B is developed by Google and Llama 4 Scout is developed by Meta.