Model Comparison

Gemma 3n E2B vs Nemotron 3 Nano (30B A3B)

Comparing Gemma 3n E2B and Nemotron 3 Nano (30B A3B) across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3n E2B and Nemotron 3 Nano (30B A3B) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

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
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

24.0B diff

Nemotron 3 Nano (30B A3B) has 24.0B more parameters than Gemma 3n E2B, making it 300.0% larger.

Google
Gemma 3n E2B
8.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
8.0B
Gemma 3n E2B
32.0B
Nemotron 3 Nano (30B A3B)

Context Window

Maximum input and output token capacity

Only Nemotron 3 Nano (30B A3B) specifies input context (262,144 tokens). Only Nemotron 3 Nano (30B A3B) specifies output context (262,144 tokens).

Google
Gemma 3n E2B
Input- tokens
Output- tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) 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 3 Nano (30B A3B)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B is licensed under a proprietary license, while Nemotron 3 Nano (30B A3B) 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 3 Nano (30B A3B)

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 3 Nano (30B A3B) was released on 2025-12-15.

Nemotron 3 Nano (30B A3B) is 6 months newer than Gemma 3n E2B.

Gemma 3n E2B

Jun 26, 2025

9 months ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

4 months ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B has a knowledge cutoff of 2024-06-01, while Nemotron 3 Nano (30B A3B) has a cutoff of 2025-11-28.

Nemotron 3 Nano (30B A3B) has more recent training data (up to 2025-11-28), making it potentially better informed about events through that date compared to Gemma 3n E2B (2024-06-01).

Gemma 3n E2B

Jun 2024

Nemotron 3 Nano (30B A3B)

Nov 2025

1.4 yr newer

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
NVIDIA
Larger context window (262,144 tokens)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E2B
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about Gemma 3n E2B vs Nemotron 3 Nano (30B A3B)

Gemma 3n E2B (Google) and Nemotron 3 Nano (30B A3B) (NVIDIA) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Gemma 3n E2B scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.
Gemma 3n E2B supports an unknown number of tokens and Nemotron 3 Nano (30B A3B) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
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.
Gemma 3n E2B is developed by Google and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.