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Model Comparison

Gemma 3n E2B Instructed LiteRT (Preview) vs Llama 4 MaverickWhich is better in 2026?

Llama 4 Maverick significantly outperforms across most benchmarks.

Verdict: Gemma 3n E2B Instructed LiteRT (Preview) vs Llama 4 Maverick — which is better?

Gemma 3n E2B Instructed LiteRT (Preview) (by Google) and Llama 4 Maverick (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.

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Llama 4 Maverick is better at 6 benchmarks (GPQA, LiveCodeBench, MBPP, MGSM, MMLU, MMLU-Pro). Llama 4 Maverick significantly outperforms across most benchmarks.

Choose Gemma 3n E2B Instructed LiteRT (Preview) if…

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

Choose Llama 4 Maverick if…

  • you want the strongest raw capability — it leads on 6 of 6 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Llama 4 Maverick is better at 6 benchmarks (GPQA, LiveCodeBench, MBPP, MGSM, MMLU, MMLU-Pro).

Llama 4 Maverick significantly outperforms across most benchmarks.

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

398.1B diff

Llama 4 Maverick has 398.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 20842.4% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
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 E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Fri Aug 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed LiteRT (Preview) and Llama 4 Maverick support multimodal inputs.

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

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, 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 E2B Instructed LiteRT (Preview)

Gemma

Open weights

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Llama 4 Maverick was released on 2025-04-05.

Gemma 3n E2B Instructed LiteRT (Preview) is 2 months newer than Llama 4 Maverick.

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.2 years ago

1mo newer
Llama 4 Maverick

Apr 5, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a documented knowledge cutoff of 2024-06-01, while Llama 4 Maverick's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed LiteRT (Preview)'s training data extends to 2024-06-01, but cannot make a direct comparison without Llama 4 Maverick's cutoff date.

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Llama 4 Maverick

—

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 (1,000,000 tokens)
Higher GPQA score (69.8% vs 24.8%)
Higher LiveCodeBench score (43.4% vs 13.2%)
Higher MBPP score (77.6% vs 56.6%)
Higher MGSM score (92.3% vs 53.1%)
Higher MMLU score (85.5% vs 60.1%)
Higher MMLU-Pro score (80.5% vs 40.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed LiteRT (Preview) and Llama 4 Maverick side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed LiteRT (Preview)
✓ Preferred
Llama 4 Maverick
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed LiteRT (Preview)
Meta
Llama 4 Maverick

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Llama 4 Maverick.

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Llama 4 Maverick?

Llama 4 Maverick significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) is made by Google and Llama 4 Maverick is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E2B Instructed LiteRT (Preview) compare to Llama 4 Maverick in benchmarks?

Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

What are the context window sizes for Gemma 3n E2B Instructed LiteRT (Preview) and Llama 4 Maverick?

Gemma 3n E2B Instructed LiteRT (Preview) 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.

What are the main differences between Gemma 3n E2B Instructed LiteRT (Preview) and Llama 4 Maverick?

Key differences include licensing (Gemma vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and Llama 4 Maverick?

Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and Llama 4 Maverick is developed by Meta.

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