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Gemma 3n E2B vs Llama 3.2 3B Instruct

Gemma 3n E2B and Llama 3.2 3B Instruct are closely matched at -10.1 and -6.0 on the LLM Stats Score.

Google · Meta · Updated for 2026

Which is better?

Gemma 3n E2B and Llama 3.2 3B Instruct are closely matched on the overall LLM Stats Score at -10.1 and -6.0.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3n E2B

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

Choose Llama 3.2 3B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
-10.1
#364
-6.0
#358
-10.3
#357
-6.6
#352
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.01 / M
Output price
— / M
$0.02 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemma 3n E2B
Llama 3.2 3B Instruct
-6.3#319
-3.7#312
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Gemma 3n E2B · 15 for Llama 3.2 3B Instruct

2 shared

Gemma 3n E2B outperforms in 1 benchmarks (HellaSwag), while Llama 3.2 3B Instruct is better at 1 benchmark (ARC-C).

Both models are evenly matched across the benchmarks.

Tue Sep 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

4.8B diff

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

Google
Gemma 3n E2B
8.0Bparameters
Meta
Llama 3.2 3B Instruct
3.2Bparameters
8.0B
Gemma 3n E2B
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
Input- tokens
Output- tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Sep 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Gemma 3n E2B

Text
Images
Audio
Video

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B 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

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

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

Gemma 3n E2B

Jun 26, 2025

1.2 years ago

9mo newer
Llama 3.2 3B Instruct

Sep 25, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B 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'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

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 and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Gemma 3n E2B and Llama 3.2 3B Instruct are closely matched on the LLM Stats Score at -10.1 and -6.0. Gemma 3n E2B is made by Google and Llama 3.2 3B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3n E2B compare to Llama 3.2 3B 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 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 and Llama 3.2 3B Instruct?

Gemma 3n E2B 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 and Llama 3.2 3B Instruct?

Key differences include LLM Stats Score (-10.1 vs -6.0), 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 and Llama 3.2 3B Instruct?

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