Model Comparison

Llama 3.1 Nemotron Ultra 253B v1 vs Qwen3 VL 4B InstructWhich is better in 2026?

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Verdict: Llama 3.1 Nemotron Ultra 253B v1 vs Qwen3 VL 4B Instruct — which is better?

Llama 3.1 Nemotron Ultra 253B 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 3.1 Nemotron Ultra 253B v1 outperforms in 2 benchmarks (AIME 2025, IFEval), while Qwen3 VL 4B Instruct is better at 0 benchmarks. Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Choose Llama 3.1 Nemotron Ultra 253B v1 if…

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

Choose Qwen3 VL 4B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Llama 3.1 Nemotron Ultra 253B v1 outperforms in 2 benchmarks (AIME 2025, IFEval), while Qwen3 VL 4B Instruct is better at 0 benchmarks.

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks.

Sat Jun 27 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 Qwen3 VL 4B Instruct, making it 6225.0% larger.

NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
253.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
253.0B
Llama 3.1 Nemotron Ultra 253B 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 3.1 Nemotron Ultra 253B v1
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B 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 3.1 Nemotron Ultra 253B v1

Text
Images
Audio
Video

Qwen3 VL 4B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 Nemotron Ultra 253B 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 3.1 Nemotron Ultra 253B 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 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 6 months newer than Llama 3.1 Nemotron Ultra 253B v1.

Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.2 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

9 months ago

5mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while Qwen3 VL 4B Instruct's cutoff date is not specified.

We can confirm Llama 3.1 Nemotron Ultra 253B v1's training data extends to 2023-12-01, but cannot make a direct comparison without Qwen3 VL 4B Instruct's cutoff date.

Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

Qwen3 VL 4B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

NVIDIA
Higher AIME 2025 score (72.5% vs 46.6%)
Higher IFEval score (89.5% vs 82.3%)
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

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.1 Nemotron Ultra 253B v1 and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 Nemotron Ultra 253B v1
✓ Preferred
Qwen3 VL 4B Instruct
Open in Playground
AI Model Comparison Table
Feature
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct

FAQ

Common questions about Llama 3.1 Nemotron Ultra 253B v1 vs Qwen3 VL 4B Instruct.

Which is better, Llama 3.1 Nemotron Ultra 253B v1 or Qwen3 VL 4B Instruct?

Llama 3.1 Nemotron Ultra 253B v1 significantly outperforms across most benchmarks. Llama 3.1 Nemotron Ultra 253B 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 3.1 Nemotron Ultra 253B v1 compare to Qwen3 VL 4B Instruct in benchmarks?

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%. 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 3.1 Nemotron Ultra 253B v1 and Qwen3 VL 4B Instruct?

Llama 3.1 Nemotron Ultra 253B 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 3.1 Nemotron Ultra 253B 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 3.1 Nemotron Ultra 253B v1 and Qwen3 VL 4B Instruct?

Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.

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