Model Comparison

Gemma 3n E2B vs Llama 3.2 90B Instruct

Comparing Gemma 3n E2B and Llama 3.2 90B Instruct across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and Llama 3.2 90B Instruct don'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

82.0B diff

Llama 3.2 90B Instruct has 82.0B more parameters than Gemma 3n E2B, making it 1025.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
Meta
Llama 3.2 90B Instruct
90.0Bparameters
8.0B
Gemma 3n E2B
90.0B
Llama 3.2 90B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 90B Instruct specifies input context (128,000 tokens). Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B and Llama 3.2 90B Instruct 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 3.2 90B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Llama 3.2 90B Instruct uses Llama 3.2.

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

Gemma 3n E2B

Proprietary

Closed source

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Llama 3.2 90B Instruct was released on 2024-09-25.

Gemma 3n E2B is 9 months newer than Llama 3.2 90B Instruct.

Gemma 3n E2B

Jun 26, 2025

10 months ago

9mo newer
Llama 3.2 90B Instruct

Sep 25, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a documented knowledge cutoff of 2024-06-01, while Llama 3.2 90B Instruct'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 3.2 90B Instruct's cutoff date.

Gemma 3n E2B

Jun 2024

Llama 3.2 90B Instruct

—

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

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
Meta
Llama 3.2 90B Instruct

FAQ

Common questions about Gemma 3n E2B vs Llama 3.2 90B Instruct.

Which is better, Gemma 3n E2B or Llama 3.2 90B Instruct?

Gemma 3n E2B (Google) and Llama 3.2 90B 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 E2B compare to Llama 3.2 90B Instruct in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.

What are the context window sizes for Gemma 3n E2B and Llama 3.2 90B Instruct?

Gemma 3n E2B supports an unknown number of tokens and Llama 3.2 90B 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 E2B and Llama 3.2 90B Instruct?

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

Who makes Gemma 3n E2B and Llama 3.2 90B Instruct?

Gemma 3n E2B is developed by Google and Llama 3.2 90B Instruct is developed by Meta.