Model Comparison
Nemotron Nano 9B v2 vs Qwen2.5-Omni-7B
Nemotron Nano 9B v2 significantly outperforms across most benchmarks.
Performance Benchmarks
Comparative analysis across standard metrics
Nemotron Nano 9B v2 outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 0 benchmarks.
Nemotron Nano 9B v2 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
Cost data unavailable.
Model Size
Parameter count comparison
Nemotron Nano 9B v2 has 1.9B more parameters than Qwen2.5-Omni-7B, making it 27.1% larger.
Input Capabilities
Supported data types and modalities
Qwen2.5-Omni-7B supports multimodal inputs, whereas Nemotron Nano 9B v2 does not.
Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Nemotron Nano 9B v2
Qwen2.5-Omni-7B
License
Usage and distribution terms
Nemotron Nano 9B v2 is licensed under NVIDIA Open Model License Agreement , while Qwen2.5-Omni-7B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
NVIDIA Open Model License Agreement
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Nemotron Nano 9B v2 was released on 2025-08-18, while Qwen2.5-Omni-7B was released on 2025-03-27.
Nemotron Nano 9B v2 is 5 months newer than Qwen2.5-Omni-7B.
Aug 18, 2025
8 months ago
4mo newerMar 27, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Nemotron Nano 9B v2 has a documented knowledge cutoff of 2024-09-01, while Qwen2.5-Omni-7B's cutoff date is not specified.
We can confirm Nemotron Nano 9B v2's training data extends to 2024-09-01, but cannot make a direct comparison without Qwen2.5-Omni-7B's cutoff date.
Sep 2024
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Outputs Comparison
Key Takeaways
Qwen2.5-Omni-7B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Nemotron Nano 9B v2 vs Qwen2.5-Omni-7B