Comprehensive side-by-side LLM comparison
Phi-3.5-vision-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.
Microsoft
Phi-3.5 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
5 months newer

Phi-3.5-vision-instruct
Microsoft
2024-08-23

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
2025-01-20
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 1.5B

Phi-3.5-vision-instruct

DeepSeek R1 Distill Qwen 1.5B

Phi-3.5-vision-instruct