Model Comparison

Gemma 3n E4B Instructed vs Llama 3.2 3B Instruct

Gemma 3n E4B Instructed shows notably better performance in the majority of benchmarks. Llama 3.2 3B Instruct is 2000.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3n E4B Instructed outperforms in 2 benchmarks (MGSM, MMLU), while Llama 3.2 3B Instruct is better at 1 benchmark (GPQA).

Gemma 3n E4B Instructed shows notably better performance in the majority of benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 3B Instruct costs less

For input processing, Gemma 3n E4B Instructed ($20.00/1M tokens) is 2000.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).

For output processing, Gemma 3n E4B Instructed ($40.00/1M tokens) is 2000.0x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).

In conclusion, Gemma 3n E4B Instructed is more expensive than Llama 3.2 3B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu May 14 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed
Input tokens$20.00
Output tokens$40.00
Best providerTogether
Meta
Llama 3.2 3B Instruct
Input tokens$0.01
Output tokens$0.02
Best providerDeepinfra
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Model Size

Parameter count comparison

4.8B diff

Gemma 3n E4B Instructed has 4.8B more parameters than Llama 3.2 3B Instruct, making it 149.2% larger.

Google
Gemma 3n E4B Instructed
8.0Bparameters
Meta
Llama 3.2 3B Instruct
3.2Bparameters
8.0B
Gemma 3n E4B Instructed
3.2B
Llama 3.2 3B Instruct

Context Window

Maximum input and output token capacity

Llama 3.2 3B Instruct accepts 128,000 input tokens compared to Gemma 3n E4B Instructed's 32,000 tokens. Llama 3.2 3B Instruct can generate longer responses up to 128,000 tokens, while Gemma 3n E4B Instructed is limited to 32,000 tokens.

Google
Gemma 3n E4B Instructed
Input32,000 tokens
Output32,000 tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.

Gemma 3n E4B Instructed can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3n E4B Instructed

Text
Images
Audio
Video

Llama 3.2 3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B 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 E4B 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 E4B Instructed was released on 2025-06-26, while Llama 3.2 3B Instruct was released on 2024-09-25.

Gemma 3n E4B Instructed is 9 months newer than Llama 3.2 3B Instruct.

Gemma 3n E4B Instructed

Jun 26, 2025

10 months ago

9mo newer
Llama 3.2 3B Instruct

Sep 25, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E4B 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 E4B 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 E4B Instructed

Jun 2024

Llama 3.2 3B Instruct

Provider Availability

Gemma 3n E4B Instructed is available from Together. Llama 3.2 3B Instruct is available from DeepInfra.

Gemma 3n E4B Instructed

together logo
Together
Input Price:Input: $20.00/1MOutput Price:Output: $40.00/1M

Llama 3.2 3B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.01/1MOutput Price:Output: $0.02/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Higher MGSM score (67.0% vs 58.2%)
Higher MMLU score (64.9% vs 63.4%)
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (32.8% vs 23.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed
Meta
Llama 3.2 3B Instruct

FAQ

Common questions about Gemma 3n E4B Instructed vs Llama 3.2 3B Instruct.

Which is better, Gemma 3n E4B Instructed or Llama 3.2 3B Instruct?

Gemma 3n E4B Instructed shows notably better performance in the majority of benchmarks. Gemma 3n E4B 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 E4B Instructed compare to Llama 3.2 3B Instruct in benchmarks?

Gemma 3n E4B Instructed scores HumanEval: 75.0%, MGSM: 67.0%, MMLU: 64.9%, Global-MMLU-Lite: 64.5%, MBPP: 63.6%. Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.

Is Gemma 3n E4B Instructed cheaper than Llama 3.2 3B Instruct?

Llama 3.2 3B Instruct is 2000.0x cheaper for input tokens. Gemma 3n E4B Instructed costs $20.00/M input and $40.00/M output via together. Llama 3.2 3B Instruct costs $0.01/M input and $0.02/M output via deepinfra.

What are the context window sizes for Gemma 3n E4B Instructed and Llama 3.2 3B Instruct?

Gemma 3n E4B Instructed supports 32K 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 E4B Instructed and Llama 3.2 3B Instruct?

Key differences include context window (32K vs 128K), input pricing ($20.00 vs $0.01/M), 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 E4B Instructed and Llama 3.2 3B Instruct?

Gemma 3n E4B Instructed is developed by Google and Llama 3.2 3B Instruct is developed by Meta.