Model Comparison

Gemma 3n E2B vs Llama 3.1 Nemotron Nano 8B V1

Comparing Gemma 3n E2B and Llama 3.1 Nemotron Nano 8B V1 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and Llama 3.1 Nemotron Nano 8B V1 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

0.0M diff

Llama 3.1 Nemotron Nano 8B V1 has 0.0B more parameters than Gemma 3n E2B, making it 0.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
8.0B
Gemma 3n E2B
8.0B
Llama 3.1 Nemotron Nano 8B V1

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas Llama 3.1 Nemotron Nano 8B V1 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 3.1 Nemotron Nano 8B V1

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Llama 3.1 Nemotron Nano 8B V1 uses Llama 3.1 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 3.1 Nemotron Nano 8B V1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Llama 3.1 Nemotron Nano 8B V1 was released on 2025-03-18.

Gemma 3n E2B is 3 months newer than Llama 3.1 Nemotron Nano 8B V1.

Gemma 3n E2B

Jun 26, 2025

10 months ago

3mo newer
Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a knowledge cutoff of 2024-06-01, while Llama 3.1 Nemotron Nano 8B V1 has a cutoff of 2023-12-31.

Gemma 3n E2B has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to Llama 3.1 Nemotron Nano 8B V1 (2023-12-31).

Gemma 3n E2B

Jun 2024

6 mo newer
Llama 3.1 Nemotron Nano 8B V1

Dec 2023

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
NVIDIA
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
NVIDIA
Llama 3.1 Nemotron Nano 8B V1

FAQ

Common questions about Gemma 3n E2B vs Llama 3.1 Nemotron Nano 8B V1.

Which is better, Gemma 3n E2B or Llama 3.1 Nemotron Nano 8B V1?

Gemma 3n E2B (Google) and Llama 3.1 Nemotron Nano 8B V1 (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3n E2B compare to Llama 3.1 Nemotron Nano 8B V1 in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Llama 3.1 Nemotron Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%.

What are the main differences between Gemma 3n E2B and Llama 3.1 Nemotron Nano 8B V1?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B and Llama 3.1 Nemotron Nano 8B V1?

Gemma 3n E2B is developed by Google and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.