Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Distill-Qwen-1.5B was created through distillation into an ultra-compact Qwen architecture, designed to enable reasoning capabilities on resource-constrained devices. Built with just 1.5 billion parameters, it brings advanced analytical techniques to edge computing and mobile scenarios.
Alibaba Cloud / Qwen Team
Qwen2.5-VL 72B was created as the flagship vision-language model in the Qwen 2.5 series, designed to provide advanced multimodal understanding. Built with 72 billion parameters optimized for visual and textual reasoning, it represents Qwen's most capable offering for tasks requiring integrated image and language processing.
6 days newer

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20

Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

Qwen2.5 VL 72B Instruct

DeepSeek R1 Distill Qwen 1.5B

Qwen2.5 VL 72B Instruct