Model Comparison

Gemma 3 4B vs Llama 3.1 Nemotron Ultra 253B v1Which is better in 2026?

Llama 3.1 Nemotron Ultra 253B v1 shows notably better performance in the majority of benchmarks.

Verdict: Gemma 3 4B vs Llama 3.1 Nemotron Ultra 253B v1 — which is better?

Gemma 3 4B (by Google) and Llama 3.1 Nemotron Ultra 253B v1 (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 1 benchmarks (IFEval), while Llama 3.1 Nemotron Ultra 253B v1 is better at 2 benchmarks (GPQA, LiveCodeBench). Llama 3.1 Nemotron Ultra 253B v1 shows notably better performance in the majority of benchmarks.

Choose Gemma 3 4B if…

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

Choose Llama 3.1 Nemotron Ultra 253B v1 if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemma 3 4B outperforms in 1 benchmarks (IFEval), while Llama 3.1 Nemotron Ultra 253B v1 is better at 2 benchmarks (GPQA, LiveCodeBench).

Llama 3.1 Nemotron Ultra 253B v1 shows notably better performance in the majority of benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

249.0B diff

Llama 3.1 Nemotron Ultra 253B v1 has 249.0B more parameters than Gemma 3 4B, making it 6225.0% larger.

Google
Gemma 3 4B
4.0Bparameters
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
253.0Bparameters
4.0B
Gemma 3 4B
253.0B
Llama 3.1 Nemotron Ultra 253B v1

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
Llama 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B v1 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

Llama 3.1 Nemotron Ultra 253B v1

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, while Llama 3.1 Nemotron Ultra 253B v1 uses Llama 3.1 Community License.

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

Gemma 3 4B

Gemma

Open weights

Llama 3.1 Nemotron Ultra 253B v1

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07.

Llama 3.1 Nemotron Ultra 253B v1 is 1 month newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.3 years ago

Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.2 years ago

3w newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a knowledge cutoff of 2024-08-01, while Llama 3.1 Nemotron Ultra 253B v1 has a cutoff of 2023-12-01.

Gemma 3 4B has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to Llama 3.1 Nemotron Ultra 253B v1 (2023-12-01).

Gemma 3 4B

Aug 2024

8 mo newer
Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Outputs Comparison

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Key Takeaways

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Higher IFEval score (90.2% vs 89.5%)
NVIDIA
Higher GPQA score (76.0% vs 30.8%)
Higher LiveCodeBench score (66.3% vs 12.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 4B
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1

FAQ

Common questions about Gemma 3 4B vs Llama 3.1 Nemotron Ultra 253B v1.

Which is better, Gemma 3 4B or Llama 3.1 Nemotron Ultra 253B v1?

Llama 3.1 Nemotron Ultra 253B v1 shows notably better performance in the majority of benchmarks. Gemma 3 4B is made by Google and Llama 3.1 Nemotron Ultra 253B v1 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 Llama 3.1 Nemotron Ultra 253B v1 in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. Llama 3.1 Nemotron Ultra 253B v1 scores MATH-500: 97.0%, IFEval: 89.5%, GPQA: 76.0%, BFCL v2: 74.1%, AIME 2025: 72.5%.

What are the context window sizes for Gemma 3 4B and Llama 3.1 Nemotron Ultra 253B v1?

Gemma 3 4B supports 131K tokens and Llama 3.1 Nemotron Ultra 253B v1 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 Llama 3.1 Nemotron Ultra 253B v1?

Key differences include multimodal support (yes vs no), licensing (Gemma vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 4B and Llama 3.1 Nemotron Ultra 253B v1?

Gemma 3 4B is developed by Google and Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA.

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