Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Alibaba Cloud / Qwen Team
Qwen 2.5 14B was developed as a mid-sized instruction-tuned model, designed to balance capability and efficiency for diverse language tasks. Built with 14 billion parameters, it provides strong performance for applications requiring reliable instruction-following without the resource demands of larger models.
Alibaba Cloud / Qwen Team
Qwen2.5-VL 7B was developed as an efficient vision-language model, designed to provide multimodal understanding with minimal computational requirements. Built with 7 billion parameters for integrated visual and textual processing, it serves applications requiring practical vision-language capabilities with constrained resources.
4 months newer

Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19

Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Available providers and their performance metrics

Qwen2.5 14B Instruct

Qwen2.5 VL 7B Instruct

Qwen2.5 14B Instruct

Qwen2.5 VL 7B Instruct