Model Comparison

Gemma 3n E2B Instructed vs Llama 3.2 11B Instruct

Llama 3.2 11B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while Llama 3.2 11B Instruct is better at 3 benchmarks (GPQA, MGSM, MMLU).

Llama 3.2 11B Instruct significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Google
Gemma 3n E2B Instructed
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

2.6B diff

Llama 3.2 11B Instruct has 2.6B more parameters than Gemma 3n E2B Instructed, making it 32.5% larger.

Google
Gemma 3n E2B Instructed
8.0Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
8.0B
Gemma 3n E2B Instructed
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.2 11B Instruct specifies input context (128,000 tokens). Only Llama 3.2 11B Instruct specifies output context (128,000 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed and Llama 3.2 11B Instruct support multimodal inputs.

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

Gemma 3n E2B Instructed

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed is licensed under a proprietary license, while Llama 3.2 11B 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 11B 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 11B Instruct was released on 2024-09-25.

Gemma 3n E2B Instructed is 9 months newer than Llama 3.2 11B Instruct.

Gemma 3n E2B Instructed

Jun 26, 2025

9 months ago

9mo newer
Llama 3.2 11B Instruct

Sep 25, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a knowledge cutoff of 2024-06-01, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.

Gemma 3n E2B Instructed has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to Llama 3.2 11B Instruct (2023-12-31).

Gemma 3n E2B Instructed

Jun 2024

6 mo newer
Llama 3.2 11B Instruct

Dec 2023

Outputs Comparison

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Key Takeaways

Google
Meta
Larger context window (128,000 tokens)
Has open weights
Higher GPQA score (32.8% vs 24.8%)
Higher MGSM score (68.9% vs 53.1%)
Higher MMLU score (73.0% vs 60.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about Gemma 3n E2B Instructed vs Llama 3.2 11B Instruct

Llama 3.2 11B Instruct significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and Llama 3.2 11B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.
Gemma 3n E2B Instructed supports an unknown number of tokens and Llama 3.2 11B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E2B Instructed is developed by Google and Llama 3.2 11B Instruct is developed by Meta.