Model Comparison

Gemma 3n E2B Instructed LiteRT (Preview) vs Nemotron Nano 9B v2

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 3 benchmarks (AIME 2025, GPQA, LiveCodeBench).

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Wed Jun 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

7.0B diff

Nemotron Nano 9B v2 has 7.0B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 366.0% larger.

Google
Gemma 3n E2B Instructed LiteRT (Preview)
1.9Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
1.9B
Gemma 3n E2B Instructed LiteRT (Preview)
8.9B
Nemotron Nano 9B v2

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas Nemotron Nano 9B v2 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

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

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

Gemma

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 3 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.0 years ago

Nemotron Nano 9B v2

Aug 18, 2025

9 months ago

3mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) 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 Instructed LiteRT (Preview) (2024-06-01).

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Nemotron Nano 9B v2

Sep 2024

3 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher AIME 2025 score (72.1% vs 6.7%)
Higher GPQA score (64.0% vs 24.8%)
Higher LiveCodeBench score (71.1% vs 13.2%)

Detailed Comparison

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Nemotron Nano 9B v2.

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Nemotron Nano 9B v2?

Nemotron Nano 9B v2 significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) is made by Google and Nemotron Nano 9B v2 is made by NVIDIA. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E2B Instructed LiteRT (Preview) compare to Nemotron Nano 9B v2 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%. 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 Instructed LiteRT (Preview) and Nemotron Nano 9B v2?

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

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and Nemotron Nano 9B v2?

Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.