Model Comparison

Llama-3.3 Nemotron Super 49B v1 vs Llama 4 ScoutWhich is better in 2026?

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

Verdict: Llama-3.3 Nemotron Super 49B v1 vs Llama 4 Scout — which is better?

Llama-3.3 Nemotron Super 49B v1 (by NVIDIA) and Llama 4 Scout (by Meta) 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.

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

Choose Llama-3.3 Nemotron Super 49B v1 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

Choose Llama 4 Scout if…

  • you want the most recent training data — it shipped Apr 2025

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

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

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

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

59.1B diff

Llama 4 Scout has 59.1B more parameters than Llama-3.3 Nemotron Super 49B v1, making it 118.4% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
Meta
Llama 4 Scout
109.0Bparameters
49.9B
Llama-3.3 Nemotron Super 49B v1
109.0B
Llama 4 Scout

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.

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

Llama-3.3 Nemotron Super 49B v1

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Llama-3.3 Nemotron Super 49B v1 is licensed under Llama 3.1 Community License, while Llama 4 Scout uses Llama 4 Community License Agreement.

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

Llama-3.3 Nemotron Super 49B v1

Llama 3.1 Community License

Open weights

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while Llama 4 Scout was released on 2025-04-05.

Llama 4 Scout is 1 month newer than Llama-3.3 Nemotron Super 49B v1.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.4 years ago

Llama 4 Scout

Apr 5, 2025

1.3 years ago

2w newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Llama 4 Scout's cutoff date is not specified.

We can confirm Llama-3.3 Nemotron Super 49B v1's training data extends to 2023-12-31, but cannot make a direct comparison without Llama 4 Scout's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Llama 4 Scout

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

NVIDIA
Higher GPQA score (66.7% vs 57.2%)
Higher MBPP score (91.3% vs 67.8%)
Meta
Larger context window (10,000,000 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

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

Llama-3.3 Nemotron Super 49B v1
✓ Preferred
Llama 4 Scout
Open in Playground
AI Model Comparison Table
Feature
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Meta
Llama 4 Scout

FAQ

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

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

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks. Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama-3.3 Nemotron Super 49B v1 compare to Llama 4 Scout in benchmarks?

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%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

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

Llama-3.3 Nemotron Super 49B v1 supports an unknown number of tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama-3.3 Nemotron Super 49B v1 and Llama 4 Scout?

Key differences include multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama-3.3 Nemotron Super 49B v1 and Llama 4 Scout?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and Llama 4 Scout is developed by Meta.

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