Model Comparison

Llama-3.3 Nemotron Super 49B v1 vs Qwen3 VL 4B InstructWhich 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 Qwen3 VL 4B Instruct — which is better?

Llama-3.3 Nemotron Super 49B v1 (by NVIDIA) and Qwen3 VL 4B Instruct (by Alibaba Cloud / Qwen Team) 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 1 benchmarks (AIME 2025), while Qwen3 VL 4B Instruct 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 1 of 1 shared benchmarks

Choose Qwen3 VL 4B Instruct if…

  • you want the most recent training data — it shipped Sep 2025
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Llama-3.3 Nemotron Super 49B v1 outperforms in 1 benchmarks (AIME 2025), while Qwen3 VL 4B Instruct is better at 0 benchmarks.

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

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

45.9B diff

Llama-3.3 Nemotron Super 49B v1 has 45.9B more parameters than Qwen3 VL 4B Instruct, making it 1147.5% larger.

NVIDIA
Llama-3.3 Nemotron Super 49B v1
49.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
49.9B
Llama-3.3 Nemotron Super 49B v1
4.0B
Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).

NVIDIA
Llama-3.3 Nemotron Super 49B v1
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas Llama-3.3 Nemotron Super 49B v1 does not.

Qwen3 VL 4B Instruct 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

Qwen3 VL 4B Instruct

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 Qwen3 VL 4B Instruct uses Apache 2.0.

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

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama-3.3 Nemotron Super 49B v1 was released on 2025-03-18, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 6 months newer than Llama-3.3 Nemotron Super 49B v1.

Llama-3.3 Nemotron Super 49B v1

Mar 18, 2025

1.2 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

8 months ago

6mo newer

Knowledge Cutoff

When training data ends

Llama-3.3 Nemotron Super 49B v1 has a documented knowledge cutoff of 2023-12-31, while Qwen3 VL 4B Instruct'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 Qwen3 VL 4B Instruct's cutoff date.

Llama-3.3 Nemotron Super 49B v1

Dec 2023

Qwen3 VL 4B Instruct

—

Outputs Comparison

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Key Takeaways

NVIDIA
Higher AIME 2025 score (58.4% vs 46.6%)
Alibaba Cloud / Qwen Team

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
NVIDIA
Llama-3.3 Nemotron Super 49B v1
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct

FAQ

Common questions about Llama-3.3 Nemotron Super 49B v1 vs Qwen3 VL 4B Instruct.

Which is better, Llama-3.3 Nemotron Super 49B v1 or Qwen3 VL 4B Instruct?

Llama-3.3 Nemotron Super 49B v1 significantly outperforms across most benchmarks. Llama-3.3 Nemotron Super 49B v1 is made by NVIDIA and Qwen3 VL 4B Instruct is made by Alibaba Cloud / Qwen Team. 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 Qwen3 VL 4B Instruct 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%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

What are the context window sizes for Llama-3.3 Nemotron Super 49B v1 and Qwen3 VL 4B Instruct?

Llama-3.3 Nemotron Super 49B v1 supports an unknown number of tokens and Qwen3 VL 4B Instruct 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 Llama-3.3 Nemotron Super 49B v1 and Qwen3 VL 4B Instruct?

Key differences include multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama-3.3 Nemotron Super 49B v1 and Qwen3 VL 4B Instruct?

Llama-3.3 Nemotron Super 49B v1 is developed by NVIDIA and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.

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