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Gemma 3n E2B Instructed LiteRT (Preview) vs Llama 3.2 3B Instruct

Llama 3.2 3B Instruct leads the LLM Stats Score -5.9 to -9.4.

Google · Meta · Updated for 2026

Which is better?

Llama 3.2 3B Instruct leads the overall LLM Stats Score -5.9 to -9.4, ranking #349 overall.

In the 5 individual benchmarks reported for both models, Llama 3.2 3B Instruct wins 4; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemma 3n E2B Instructed LiteRT (Preview)

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

Choose Llama 3.2 3B Instruct

  • overall performance matters — it scores -5.9 and ranks #349 on LLM Stats
  • you value its reported benchmark strengths — it wins 4 of 5 exact shared results

At a glance

The differences that matter most.

Core performance indexes
-9.4
#353
-5.9
#349
-9.7
#345
-6.6
#341
Cost, coverage & limits
Benchmark wins
1 of 5
4 of 5
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 Instructed LiteRT (Preview)
Llama 3.2 3B Instruct
-6.0#312
-3.3#304
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

28 reported for Gemma 3n E2B Instructed LiteRT (Preview) · 15 for Llama 3.2 3B Instruct

5 shared

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 1 benchmarks (HellaSwag), while Llama 3.2 3B Instruct is better at 4 benchmarks (ARC-C, GPQA, MGSM, MMLU).

Llama 3.2 3B Instruct significantly outperforms across most benchmarks.

Sat Sep 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1.3B diff

Llama 3.2 3B Instruct has 1.3B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 68.1% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
Meta
Llama 3.2 3B Instruct
3.2Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
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 LiteRT (Preview)
Input- tokens
Output- tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Sep 05 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

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

Gemma

Open weights

Llama 3.2 3B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Llama 3.2 3B Instruct was released on 2024-09-25.

Gemma 3n E2B Instructed LiteRT (Preview) is 8 months newer than Llama 3.2 3B Instruct.

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.3 years ago

7mo newer
Llama 3.2 3B Instruct

Sep 25, 2024

1.9 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 3.2 3B Instruct'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 3.2 3B Instruct's cutoff date.

Gemma 3n E2B Instructed LiteRT (Preview)

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

Gemma 3n E2B Instructed LiteRT (Preview)
✓ Preferred
Llama 3.2 3B Instruct
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Llama 3.2 3B Instruct.

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Llama 3.2 3B Instruct?

Llama 3.2 3B Instruct leads the LLM Stats Score -5.9 to -9.4. Gemma 3n E2B Instructed LiteRT (Preview) 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 Instructed LiteRT (Preview) compare to Llama 3.2 3B Instruct 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 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 LiteRT (Preview) and Llama 3.2 3B Instruct?

Gemma 3n E2B Instructed LiteRT (Preview) 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 LiteRT (Preview) and Llama 3.2 3B Instruct?

Key differences include LLM Stats Score (-9.4 vs -5.9), multimodal support (yes vs no), licensing (Gemma vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and Llama 3.2 3B Instruct?

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