Model Comparison

Gemma 3n E2B vs Nemotron Nano 9B v2Which is better in 2026?

Comparing Gemma 3n E2B and Nemotron Nano 9B v2 across benchmarks, pricing, and capabilities.

Verdict: Gemma 3n E2B vs Nemotron Nano 9B v2 — which is better?

Gemma 3n E2B (by Google) and Nemotron Nano 9B v2 (by NVIDIA) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Gemma 3n E2B if…

  • you are already invested in the Google ecosystem

Choose Nemotron Nano 9B v2 if…

  • you want the most recent training data — it shipped Aug 2025
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and Nemotron Nano 9B v2 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

900.0M diff

Nemotron Nano 9B v2 has 0.9B more parameters than Gemma 3n E2B, making it 11.3% larger.

Google
Gemma 3n E2B
8.0Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
8.0B
Gemma 3n E2B
8.9B
Nemotron Nano 9B v2

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas Nemotron Nano 9B v2 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

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Nemotron Nano 9B v2 uses NVIDIA Open Model License Agreement .

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3n E2B

Proprietary

Closed source

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B was released on 2025-06-26, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 2 months newer than Gemma 3n E2B.

Gemma 3n E2B

Jun 26, 2025

11 months ago

Nemotron Nano 9B v2

Aug 18, 2025

9 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a knowledge cutoff of 2024-06-01, while Nemotron Nano 9B v2 has a cutoff of 2024-09-01.

Nemotron Nano 9B v2 has more recent training data (up to 2024-09-01), making it potentially better informed about events through that date compared to Gemma 3n E2B (2024-06-01).

Gemma 3n E2B

Jun 2024

Nemotron Nano 9B v2

Sep 2024

3 mo newer

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
Nemotron Nano 9B v2

FAQ

Common questions about Gemma 3n E2B vs Nemotron Nano 9B v2.

Which is better, Gemma 3n E2B or Nemotron Nano 9B v2?

Gemma 3n E2B (Google) and Nemotron Nano 9B v2 (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 Nemotron Nano 9B v2 in benchmarks?

Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Nemotron Nano 9B v2 scores MATH-500: 97.8%, IFEval: 90.3%, AIME 2025: 72.1%, LiveCodeBench: 71.1%, BFCL_v3_MultiTurn: 66.9%.

What are the main differences between Gemma 3n E2B and Nemotron Nano 9B v2?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs NVIDIA Open Model License Agreement ). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B and Nemotron Nano 9B v2?

Gemma 3n E2B is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.

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