Comprehensive side-by-side LLM comparison
Nemotron Nano 9B v2 leads with 33.2% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Nemotron Nano 9B v2 is the stronger choice for coding tasks.
NVIDIA
Nemotron Nano 9B v2 is a language model developed by NVIDIA. It achieves strong performance with an average score of 77.0% across 6 benchmarks. It excels particularly in MATH-500 (97.8%), IFEval (90.3%), AIME 2025 (72.1%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents NVIDIA's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen2.5-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
4 months newer

Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27

Nemotron Nano 9B v2
NVIDIA
2025-08-18
Average performance across 1 common benchmarks

Nemotron Nano 9B v2

Qwen2.5-Omni-7B
Nemotron Nano 9B v2
2024-09
Available providers and their performance metrics

Nemotron Nano 9B v2

Qwen2.5-Omni-7B

Nemotron Nano 9B v2

Qwen2.5-Omni-7B