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Gemma 3 4B vs Llama-3.3 Nemotron Super 49B v1

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Google · NVIDIA · Updated for 2026

Which is better?

Gemma 3 4B outperforms in 0 benchmarks, while Llama-3.3 Nemotron Super 49B v1 is better at 2 benchmarks (GPQA, MBPP). Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemma 3 4B

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

Choose Llama-3.3 Nemotron Super 49B v1

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

At a glance

The differences that matter most.

Gemma 3 4B
Google
Llama-3.3 Nemotron Super 49B v1
NVIDIA
Benchmark wins
0 of 2
2 of 2
Input price
$0.02 / M
— / M
Output price
$0.04 / M
— / M
Context window
131,072
—
Released
Mar 2025
Mar 2025
License
Gemma
Llama 3.1 Community License

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemma 3 4B outperforms in 0 benchmarks, while Llama-3.3 Nemotron Super 49B v1 is better at 2 benchmarks (GPQA, MBPP).

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks.

Wed Aug 26 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

45.9B diff

Llama-3.3 Nemotron Super 49B v1 has 45.9B more parameters than Gemma 3 4B, making it 1147.5% larger.

Google
Gemma 3 4B
4.0Bparameters
NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
4.0B
Gemma 3 4B
49.9B
Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Wed Aug 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 4B supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, while Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1 was released on 2025-03-18.

Llama-3.3 Nemotron Super 49B v1 is 0 month newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.5 years ago

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.4 years ago

6d newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a knowledge cutoff of 2024-08-01, while Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1 (2023-12-31).

Gemma 3 4B

Aug 2024

8 mo newer
Llama-3.3 Nemotron Super 49B v1

Dec 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3 4B and Llama-3.3 Nemotron Super 49B v1 side-by-side, then vote on the output you prefer.

Gemma 3 4B
✓ Preferred
Llama-3.3 Nemotron Super 49B v1
Open in Playground

FAQ

Common questions about Gemma 3 4B vs Llama-3.3 Nemotron Super 49B v1.

Which is better, Gemma 3 4B or Llama-3.3 Nemotron Super 49B v1?

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks. Gemma 3 4B is made by Google and Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1 in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. Llama-3.3 Nemotron Super 49B v1 scores MATH-500: 96.6%, MT-Bench: 91.7%, MBPP: 91.3%, Arena Hard: 88.3%, BFCL v2: 73.7%.

What are the context window sizes for Gemma 3 4B and Llama-3.3 Nemotron Super 49B v1?

Gemma 3 4B supports 131K tokens and Llama-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B 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-3.3 Nemotron Super 49B v1?

Gemma 3 4B is developed by Google and Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA.

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