Comprehensive side-by-side LLM comparison
DeepSeek VL2 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 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
1 month newer

DeepSeek VL2
DeepSeek
2024-12-13

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

DeepSeek R1 Distill Qwen 14B

DeepSeek VL2
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DeepSeek R1 Distill Qwen 14B

DeepSeek VL2

DeepSeek R1 Distill Qwen 14B

DeepSeek VL2