Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-R1-Distill-Qwen-14B was developed as a mid-sized distilled variant based on Qwen, designed to balance reasoning capability with practical deployment considerations. Built to provide strong analytical performance while remaining accessible, it serves applications requiring reliable reasoning without flagship-scale resources.
DeepSeek
DeepSeek-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
1 month newer

DeepSeek VL2 Tiny
DeepSeek
2024-12-13

DeepSeek R1 Distill Qwen 14B
DeepSeek
2025-01-20
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 14B

DeepSeek VL2 Tiny

DeepSeek R1 Distill Qwen 14B

DeepSeek VL2 Tiny