Model Comparison

Llama 3.1 Nemotron Ultra 253B v1 vs QvQ-72B-Preview

Comparing Llama 3.1 Nemotron Ultra 253B v1 and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama 3.1 Nemotron Ultra 253B v1 and QvQ-72B-Preview don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

179.6B diff

Llama 3.1 Nemotron Ultra 253B v1 has 179.6B more parameters than QvQ-72B-Preview, making it 244.7% larger.

NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
253.0Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
253.0B
Llama 3.1 Nemotron Ultra 253B v1
73.4B
QvQ-72B-Preview

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas Llama 3.1 Nemotron Ultra 253B v1 does not.

QvQ-72B-Preview 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

QvQ-72B-Preview

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 QvQ-72B-Preview uses Qwen.

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

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Llama 3.1 Nemotron Ultra 253B v1 was released on 2025-04-07, while QvQ-72B-Preview was released on 2024-12-25.

Llama 3.1 Nemotron Ultra 253B v1 is 3 months newer than QvQ-72B-Preview.

Llama 3.1 Nemotron Ultra 253B v1

Apr 7, 2025

1.0 years ago

3mo newer
QvQ-72B-Preview

Dec 25, 2024

1.3 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 Nemotron Ultra 253B v1 has a documented knowledge cutoff of 2023-12-01, while QvQ-72B-Preview'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 QvQ-72B-Preview's cutoff date.

Llama 3.1 Nemotron Ultra 253B v1

Dec 2023

QvQ-72B-Preview

—

Outputs Comparison

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Key Takeaways

NVIDIA
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
NVIDIA
Llama 3.1 Nemotron Ultra 253B v1
Alibaba Cloud / Qwen Team
QvQ-72B-Preview

FAQ

Common questions about Llama 3.1 Nemotron Ultra 253B v1 vs QvQ-72B-Preview

Llama 3.1 Nemotron Ultra 253B v1 (NVIDIA) and QvQ-72B-Preview (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
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%. QvQ-72B-Preview scores MathVista: 71.4%, MMMU: 70.3%, MathVision: 35.9%, OlympiadBench: 20.4%.
Key differences include multimodal support (no vs yes), licensing (Llama 3.1 Community License vs Qwen). See the full comparison above for benchmark-by-benchmark results.
Llama 3.1 Nemotron Ultra 253B v1 is developed by NVIDIA and QvQ-72B-Preview is developed by Alibaba Cloud / Qwen Team.