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-Zero was introduced as an experimental variant trained with minimal human supervision, designed to develop reasoning patterns through self-guided reinforcement learning. Built to explore how models can discover analytical strategies independently, it represents research into autonomous reasoning capability development.
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 Zero
DeepSeek
2025-01-20
Context window and performance specifications
Available providers and their performance metrics

DeepSeek R1 Zero

DeepSeek VL2
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DeepSeek R1 Zero

DeepSeek VL2

DeepSeek R1 Zero

DeepSeek VL2