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Gemma 3n E2B Instructed vs Llama 3.2 3B Instruct

Llama 3.2 3B Instruct significantly outperforms across most benchmarks.

Google · Meta · Updated for 2026

Which is better?

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Llama 3.2 3B Instruct is better at 3 benchmarks (GPQA, MGSM, MMLU). Llama 3.2 3B Instruct significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 3n E2B Instructed

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

Choose Llama 3.2 3B Instruct

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemma 3n E2B Instructed
Google
Llama 3.2 3B Instruct
Meta
Benchmark wins
0 of 3
3 of 3
Input price
— / M
$0.01 / M
Output price
— / M
$0.02 / M
Context window
—
128,000
Released
Jun 2025
Sep 2024
License
Proprietary
Llama 3.2 Community License

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Llama 3.2 3B Instruct is better at 3 benchmarks (GPQA, MGSM, MMLU).

Llama 3.2 3B Instruct significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

4.8B diff

Gemma 3n E2B Instructed has 4.8B more parameters than Llama 3.2 3B Instruct, making it 149.2% larger.

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

Context Window

Maximum input and output token capacity

Only Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.

Gemma 3n E2B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E2B Instructed

Text
Images
Audio
Video

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while Llama 3.2 3B 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 E2B Instructed

Proprietary

Closed source

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

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

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

Gemma 3n E2B Instructed

Jun 26, 2025

1.2 years ago

9mo newer
Llama 3.2 3B Instruct

Sep 25, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a documented knowledge cutoff of 2024-06-01, while Llama 3.2 3B Instruct's cutoff date is not specified.

We can confirm Gemma 3n E2B Instructed's training data extends to 2024-06-01, but cannot make a direct comparison without Llama 3.2 3B Instruct's cutoff date.

Gemma 3n E2B Instructed

Jun 2024

Llama 3.2 3B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
Llama 3.2 3B Instruct
Open in Playground

FAQ

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

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

Llama 3.2 3B Instruct significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and Llama 3.2 3B Instruct 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 compare to Llama 3.2 3B Instruct in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.

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

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

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

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

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

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