Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 15.0% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
Alibaba / Qwen
Qwen2.5-72B-Instruct is the flagship of Alibaba's Qwen2.5 series, a 72-billion-parameter open-weight model released in September 2024 after training on 18 trillion tokens spanning code, mathematics, and multilingual text. It offers strong generalist performance across coding, instruction-following, and structured reasoning while remaining fully open-weight under Apache 2.0 — a combination that made it a widely referenced model in open-source evaluations and community benchmarking. The 128K context window and built-in structured output support made it a common choice for document analysis and multi-step agentic pipeline development.
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.
6 months newer
Qwen2.5 72B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5-Omni-7B
Alibaba / Qwen
2025-03-26
Average performance across 1 common benchmarks
Qwen2.5 72B Instruct
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
Qwen2.5 72B Instruct
Qwen2.5-Omni-7B
Available providers and their performance metrics
Qwen2.5 72B Instruct
Qwen2.5-Omni-7B
Qwen2.5 72B Instruct
Qwen2.5-Omni-7B