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Llama 3.1 Nemotron Nano 8B V1 vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 43.2% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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NVIDIA
Llama 3.1 Nemotron Nano 8B V1 is a language model developed by NVIDIA. It achieves strong performance with an average score of 72.2% across 7 benchmarks. It excels particularly in MATH-500 (95.4%), MBPP (84.6%), MT-Bench (81.0%). Released in 2025, it represents NVIDIA's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
9 days newer
Llama 3.1 Nemotron Nano 8B V1
NVIDIA
2025-03-18
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Average performance across 50 common benchmarks
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Llama 3.1 Nemotron Nano 8B V1
Average Score:10.1%
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Qwen2.5-Omni-7B
Average Score:53.3%(+43.2%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 Nemotron Nano 8B V1
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 Nemotron Nano 8B V1
0 providers
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Qwen2.5-Omni-7B
0 providers
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Llama 3.1 Nemotron Nano 8B V1
Avg Score:10.1%
Providers:0
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Qwen2.5-Omni-7B
Avg Score:53.3%(+43.2%)
Providers:0