Model Comparison

Gemma 3 4B vs Llama 3.1 Nemotron Nano 8B V1Which is better in 2026?

Llama 3.1 Nemotron Nano 8B V1 shows notably better performance in the majority of benchmarks.

Verdict: Gemma 3 4B vs Llama 3.1 Nemotron Nano 8B V1 — which is better?

Gemma 3 4B (by Google) and Llama 3.1 Nemotron Nano 8B 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 Nano 8B V1 is better at 2 benchmarks (GPQA, MBPP). Llama 3.1 Nemotron Nano 8B 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 Nano 8B 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 Mar 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 Nano 8B V1 is better at 2 benchmarks (GPQA, MBPP).

Llama 3.1 Nemotron Nano 8B V1 shows notably better performance in the majority of benchmarks.

Thu Jun 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

4.0B diff

Llama 3.1 Nemotron Nano 8B V1 has 4.0B more parameters than Gemma 3 4B, making it 100.0% larger.

Google
Gemma 3 4B
4.0Bparameters
NVIDIA
Llama 3.1 Nemotron Nano 8B V1
8.0Bparameters
4.0B
Gemma 3 4B
8.0B
Llama 3.1 Nemotron Nano 8B 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 Nano 8B V1
Input- tokens
Output- tokens
Thu Jun 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas Llama 3.1 Nemotron Nano 8B 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 Nano 8B V1

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, while Llama 3.1 Nemotron Nano 8B 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 Nano 8B 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 Nano 8B V1 was released on 2025-03-18.

Llama 3.1 Nemotron Nano 8B V1 is 0 month newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.3 years ago

Llama 3.1 Nemotron Nano 8B V1

Mar 18, 2025

1.3 years ago

6d newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a knowledge cutoff of 2024-08-01, while Llama 3.1 Nemotron Nano 8B V1 has a cutoff of 2023-12-31.

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 Nano 8B V1 (2023-12-31).

Gemma 3 4B

Aug 2024

8 mo newer
Llama 3.1 Nemotron Nano 8B 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 79.3%)
NVIDIA
Higher GPQA score (54.1% vs 30.8%)
Higher MBPP score (84.6% vs 63.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3 4B
NVIDIA
Llama 3.1 Nemotron Nano 8B V1

FAQ

Common questions about Gemma 3 4B vs Llama 3.1 Nemotron Nano 8B V1.

Which is better, Gemma 3 4B or Llama 3.1 Nemotron Nano 8B V1?

Llama 3.1 Nemotron Nano 8B V1 shows notably better performance in the majority of benchmarks. Gemma 3 4B is made by Google and Llama 3.1 Nemotron Nano 8B 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 Nano 8B 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 Nano 8B V1 scores MATH-500: 95.4%, MBPP: 84.6%, MT-Bench: 81.0%, IFEval: 79.3%, BFCL v2: 63.6%.

What are the context window sizes for Gemma 3 4B and Llama 3.1 Nemotron Nano 8B V1?

Gemma 3 4B supports 131K tokens and Llama 3.1 Nemotron Nano 8B 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 Nano 8B 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 Nano 8B V1?

Gemma 3 4B is developed by Google and Llama 3.1 Nemotron Nano 8B V1 is developed by NVIDIA.

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