Model Comparison

Gemma 3 4B vs Nemotron 3 Nano (30B A3B)

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Gemma 3 4B is 4.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3 4B outperforms in 0 benchmarks, while Nemotron 3 Nano (30B A3B) is better at 3 benchmarks (GPQA, MMLU-Pro, WMT24++).

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks.

Tue Jun 02 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemma 3 4B ($0.02/1M tokens) is 3.0x cheaper than Nemotron 3 Nano (30B A3B) ($0.06/1M tokens).

For output processing, Gemma 3 4B ($0.04/1M tokens) is 6.0x cheaper than Nemotron 3 Nano (30B A3B) ($0.24/1M tokens).

In conclusion, Nemotron 3 Nano (30B A3B) is more expensive than Gemma 3 4B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jun 02 2026 • llm-stats.com
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
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Model Size

Parameter count comparison

28.0B diff

Nemotron 3 Nano (30B A3B) has 28.0B more parameters than Gemma 3 4B, making it 700.0% larger.

Google
Gemma 3 4B
4.0Bparameters
NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
4.0B
Gemma 3 4B
32.0B
Nemotron 3 Nano (30B A3B)

Context Window

Maximum input and output token capacity

Nemotron 3 Nano (30B A3B) accepts 262,144 input tokens compared to Gemma 3 4B's 131,072 tokens. Nemotron 3 Nano (30B A3B) can generate longer responses up to 262,144 tokens, while Gemma 3 4B is limited to 131,072 tokens.

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Tue Jun 02 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) 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 3 Nano (30B A3B)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, 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 3 4B

Gemma

Open weights

Nemotron 3 Nano (30B A3B)

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

Nemotron 3 Nano (30B A3B) is 9 months newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.2 years ago

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

5 months ago

9mo newer

Knowledge Cutoff

When training data ends

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

Gemma 3 4B

Aug 2024

Nemotron 3 Nano (30B A3B)

Nov 2025

1.3 yr newer

Provider Availability

Gemma 3 4B is available from DeepInfra. Nemotron 3 Nano (30B A3B) is available from DeepInfra.

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M

Nemotron 3 Nano (30B A3B)

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.24/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
NVIDIA
Larger context window (262,144 tokens)
Higher GPQA score (75.0% vs 30.8%)
Higher MMLU-Pro score (78.3% vs 43.6%)
Higher WMT24++ score (86.2% vs 46.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 4B
NVIDIA
Nemotron 3 Nano (30B A3B)

FAQ

Common questions about Gemma 3 4B vs Nemotron 3 Nano (30B A3B).

Which is better, Gemma 3 4B or Nemotron 3 Nano (30B A3B)?

Nemotron 3 Nano (30B A3B) significantly outperforms across most benchmarks. Gemma 3 4B is made by Google and Nemotron 3 Nano (30B A3B) 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 3 Nano (30B A3B) in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. Nemotron 3 Nano (30B A3B) scores AIME 2025: 99.2%, WMT24++: 86.2%, MMLU-Pro: 78.3%, GPQA: 75.0%, LiveCodeBench v6: 68.3%.

Is Gemma 3 4B cheaper than Nemotron 3 Nano (30B A3B)?

Gemma 3 4B is 3.0x cheaper for input tokens. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra. Nemotron 3 Nano (30B A3B) costs $0.06/M input and $0.24/M output via deepinfra.

What are the context window sizes for Gemma 3 4B and Nemotron 3 Nano (30B A3B)?

Gemma 3 4B supports 131K 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.

What are the main differences between Gemma 3 4B and Nemotron 3 Nano (30B A3B)?

Key differences include context window (131K vs 262K), input pricing ($0.02 vs $0.06/M), 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 3 Nano (30B A3B)?

Gemma 3 4B is developed by Google and Nemotron 3 Nano (30B A3B) is developed by NVIDIA.