Comprehensive side-by-side LLM comparison
Qwen2 72B Instruct leads with 7.0% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2 72B Instruct is the stronger choice for coding tasks.
Alibaba / Qwen
Qwen2-72B-Instruct is a 72-billion-parameter language model released by Alibaba's Qwen team in June 2024, serving as the flagship of the Qwen2 generation and representing a major step in open-weight multilingual modeling. Trained on data spanning 30+ languages with strong coverage of code and structured reasoning, the model was among the first openly released 70B-class models to demonstrate competitive performance across diverse benchmarks. It established the foundation architecture and training methodology that the Qwen2.5 series would later extend.
Alibaba / Qwen
Qwen2.5-Omni-7B is a 7-billion-parameter end-to-end multimodal model from Alibaba, released in March 2025 as part of the Omni series designed to unify perception and generation across text, images, audio, and video in a single model architecture. Unlike pipeline-based multimodal systems, it processes all modalities end-to-end and can generate both text and speech outputs, targeting use cases in voice assistants, multimodal agents, and real-time interactive applications. Its compact size made it notable for on-device and resource-constrained multimodal deployments.
9 months newer
Qwen2 72B Instruct
Alibaba / Qwen
2024-06-07
Qwen2.5-Omni-7B
Alibaba / Qwen
2025-03-26
Average performance across 1 common benchmarks
Qwen2 72B Instruct
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
Qwen2 72B Instruct
Qwen2.5-Omni-7B
Available providers and their performance metrics
Qwen2 72B Instruct
Qwen2.5-Omni-7B
Qwen2 72B Instruct
Qwen2.5-Omni-7B