Nemotron 3 Nano (30B A3B) vs QvQ-72B-Preview Comparison

Comparing Nemotron 3 Nano (30B A3B) and QvQ-72B-Preview across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Nemotron 3 Nano (30B A3B) 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
Sat Mar 14 2026 • llm-stats.com
NVIDIA
Nemotron 3 Nano (30B A3B)
Input tokens$0.06
Output tokens$0.24
Best providerDeepinfra
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

41.4B diff

QvQ-72B-Preview has 41.4B more parameters than Nemotron 3 Nano (30B A3B), making it 129.4% larger.

NVIDIA
Nemotron 3 Nano (30B A3B)
32.0Bparameters
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
73.4Bparameters
32.0B
Nemotron 3 Nano (30B A3B)
73.4B
QvQ-72B-Preview

Context Window

Maximum input and output token capacity

Only Nemotron 3 Nano (30B A3B) specifies input context (262,144 tokens). Only Nemotron 3 Nano (30B A3B) specifies output context (262,144 tokens).

NVIDIA
Nemotron 3 Nano (30B A3B)
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
QvQ-72B-Preview
Input- tokens
Output- tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

QvQ-72B-Preview supports multimodal inputs, whereas Nemotron 3 Nano (30B A3B) does not.

QvQ-72B-Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.

Nemotron 3 Nano (30B A3B)

Text
Images
Audio
Video

QvQ-72B-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Nemotron 3 Nano (30B A3B) is licensed under NVIDIA Open Model License Agreement , while QvQ-72B-Preview uses Qwen.

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

Nemotron 3 Nano (30B A3B)

NVIDIA Open Model License Agreement

Open weights

QvQ-72B-Preview

Qwen

Open weights

Release Timeline

When each model was launched

Nemotron 3 Nano (30B A3B) was released on 2025-12-15, while QvQ-72B-Preview was released on 2024-12-25.

Nemotron 3 Nano (30B A3B) is 12 months newer than QvQ-72B-Preview.

Nemotron 3 Nano (30B A3B)

Dec 15, 2025

2 months ago

11mo newer
QvQ-72B-Preview

Dec 25, 2024

1.2 years ago

Knowledge Cutoff

When training data ends

Nemotron 3 Nano (30B A3B) has a documented knowledge cutoff of 2025-11-28, while QvQ-72B-Preview's cutoff date is not specified.

We can confirm Nemotron 3 Nano (30B A3B)'s training data extends to 2025-11-28, but cannot make a direct comparison without QvQ-72B-Preview's cutoff date.

Nemotron 3 Nano (30B A3B)

Nov 2025

QvQ-72B-Preview

Outputs Comparison

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Key Takeaways

Larger context window (262,144 tokens)
Alibaba Cloud / Qwen Team

QvQ-72B-Preview

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
NVIDIA
Nemotron 3 Nano (30B A3B)
Alibaba Cloud / Qwen Team
QvQ-72B-Preview