Model Comparison

Gemma 3n E4B vs Llama 4 Maverick

Comparing Gemma 3n E4B and Llama 4 Maverick across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E4B and Llama 4 Maverick 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
Thu Apr 16 2026 • llm-stats.com
Google
Gemma 3n E4B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

392.0B diff

Llama 4 Maverick has 392.0B more parameters than Gemma 3n E4B, making it 4900.0% larger.

Google
Gemma 3n E4B
8.0Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
8.0B
Gemma 3n E4B
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

Google
Gemma 3n E4B
Input- tokens
Output- tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E4B and Llama 4 Maverick 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 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B is licensed under a proprietary license, while Llama 4 Maverick uses Llama 4 Community License Agreement.

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

Gemma 3n E4B

Proprietary

Closed source

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3n E4B was released on 2025-06-26, while Llama 4 Maverick was released on 2025-04-05.

Gemma 3n E4B is 3 months newer than Llama 4 Maverick.

Gemma 3n E4B

Jun 26, 2025

9 months ago

2mo newer
Llama 4 Maverick

Apr 5, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B has a documented knowledge cutoff of 2024-06-01, while Llama 4 Maverick'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 Llama 4 Maverick's cutoff date.

Gemma 3n E4B

Jun 2024

Llama 4 Maverick

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Outputs Comparison

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Key Takeaways

Google
Meta
Larger context window (1,000,000 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B
Meta
Llama 4 Maverick

FAQ

Common questions about Gemma 3n E4B vs Llama 4 Maverick

Gemma 3n E4B (Google) and Llama 4 Maverick (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 E4B scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, Winogrande: 71.7%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.
Gemma 3n E4B supports an unknown number of tokens and Llama 4 Maverick supports 1.0M 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 E4B is developed by Google and Llama 4 Maverick is developed by Meta.