Model Comparison

Gemma 3 4B vs Nemotron Nano 9B v2Which is better in 2026?

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Verdict: Gemma 3 4B vs Nemotron Nano 9B v2 — which is better?

Gemma 3 4B (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.

Gemma 3 4B outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 3 benchmarks (GPQA, IFEval, LiveCodeBench). Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Choose Gemma 3 4B if…

  • you want predictable pricing at $0.02/M input and $0.04/M output

Choose Nemotron Nano 9B v2 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Aug 2025
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3 4B outperforms in 0 benchmarks, while Nemotron Nano 9B v2 is better at 3 benchmarks (GPQA, IFEval, LiveCodeBench).

Nemotron Nano 9B v2 significantly outperforms across most benchmarks.

Tue Jun 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

4.9B diff

Nemotron Nano 9B v2 has 4.9B more parameters than Gemma 3 4B, making it 122.5% larger.

Google
Gemma 3 4B
4.0Bparameters
NVIDIA
Nemotron Nano 9B v2
8.9Bparameters
4.0B
Gemma 3 4B
8.9B
Nemotron Nano 9B v2

Context Window

Maximum input and output token capacity

Only Gemma 3 4B specifies input context (131,072 tokens). Only Gemma 3 4B specifies output context (131,072 tokens).

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
NVIDIA
Nemotron Nano 9B v2
Input- tokens
Output- tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.

Gemma 3 4B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemma 3 4B

Text
Images
Audio
Video

Nemotron Nano 9B v2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B 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 3 4B

Gemma

Open weights

Nemotron Nano 9B v2

NVIDIA Open Model License Agreement

Open weights

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while Nemotron Nano 9B v2 was released on 2025-08-18.

Nemotron Nano 9B v2 is 5 months newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.3 years ago

Nemotron Nano 9B v2

Aug 18, 2025

10 months ago

5mo newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a knowledge cutoff of 2024-08-01, 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 3 4B (2024-08-01).

Gemma 3 4B

Aug 2024

Nemotron Nano 9B v2

Sep 2024

1 mo newer

Outputs Comparison

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Key Takeaways

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
NVIDIA
Higher GPQA score (64.0% vs 30.8%)
Higher IFEval score (90.3% vs 90.2%)
Higher LiveCodeBench score (71.1% vs 12.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 4B
NVIDIA
Nemotron Nano 9B v2

FAQ

Common questions about Gemma 3 4B vs Nemotron Nano 9B v2.

Which is better, Gemma 3 4B or Nemotron Nano 9B v2?

Nemotron Nano 9B v2 significantly outperforms across most benchmarks. Gemma 3 4B 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 3 4B compare to Nemotron Nano 9B v2 in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. 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 context window sizes for Gemma 3 4B and Nemotron Nano 9B v2?

Gemma 3 4B supports 131K tokens and Nemotron Nano 9B v2 supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3 4B 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 3 4B and Nemotron Nano 9B v2?

Gemma 3 4B is developed by Google and Nemotron Nano 9B v2 is developed by NVIDIA.

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