Comprehensive side-by-side LLM comparison
Qwen2.5 32B Instruct leads with 10.8% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5 32B Instruct is the stronger choice for coding tasks.
Alibaba / Qwen
Qwen2.5-32B-Instruct is a 32-billion-parameter open-weight model from Alibaba's Qwen team, released in September 2024 as part of the Qwen2.5 series trained on 18 trillion tokens. The model is positioned as a high-capability option for developers with access to multi-GPU setups or high-VRAM hardware, offering strong performance on coding, structured reasoning, and multilingual tasks while remaining fully open under Apache 2.0. Its 128K context window and support for structured output generation made it a popular choice for document processing and agentic workflows in the open-source community.
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 32B Instruct
Alibaba / Qwen
2024-09-19
Qwen2.5-Omni-7B
Alibaba / Qwen
2025-03-26
Average performance across 1 common benchmarks
Qwen2.5 32B Instruct
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
Qwen2.5 32B Instruct
Qwen2.5-Omni-7B
Available providers and their performance metrics
Qwen2.5 32B Instruct
Qwen2.5-Omni-7B
Qwen2.5 32B Instruct
Qwen2.5-Omni-7B