Comprehensive side-by-side LLM comparison
Qwen2.5-Coder 7B Instruct leads with 10.3% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Overall, Qwen2.5-Coder 7B Instruct is the stronger choice for coding tasks.
Alibaba / Qwen
Qwen2.5-Coder-7B-Instruct is a 7-billion-parameter code-specialized model from Alibaba, released in November 2024 as part of the Qwen2.5-Coder family, trained on a curated corpus spanning 92 programming languages with emphasis on code generation, debugging, and fill-in-the-middle completion. Built on the Qwen2.5 architecture, it extends the base series' improvements in instruction-following and long-context handling to coding-specific tasks within a compact deployable footprint. It became popular for integration into IDE extensions, CI pipelines, and self-hosted code assistant tools.
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.
4 months newer
Qwen2.5-Coder 7B Instruct
Alibaba / Qwen
2024-11-12
Qwen2.5-Omni-7B
Alibaba / Qwen
2025-03-26
Average performance across 1 common benchmarks
Qwen2.5-Coder 7B Instruct
Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
Qwen2.5-Coder 7B Instruct
Qwen2.5-Omni-7B
Available providers and their performance metrics
Qwen2.5-Coder 7B Instruct
Qwen2.5-Omni-7B
Qwen2.5-Coder 7B Instruct
Qwen2.5-Omni-7B