DeepSeek's Vision Lineage: From DeepSeek-VL to Vision-Exp

By zipflow.xyz This is an independent technical analysis of DeepSeek's public research and documentation. It is not an official DeepSeek statement, and it does not claim that the current Vision-Exp API is available through our upstream channel. When DeepSeek released deepseek-v4-flash-vision-exp , the obvious story was that a text-focused model had finally gained native image input. The more useful story is longer: DeepSeek had already spent years exploring visual data, vision-language alignment, OCR, charts, documents, and unified visual understanding and generation. This article reconstructs that public research lineage and separates three things that are often mixed together: What DeepSeek's papers actually disclose What the current API documentation says What we still cannot verify about the newest model's training data 1. DeepSeek-VL: starting from real-world visual data DeepSeek-VL's 2024 paper, Towards Real-World Vision-Language Understanding , did not frame vision as only a captioning problem. It explicitly targeted practical inputs such as web screenshots, PDFs, OCR, charts, and knowledge-oriented visual content. The project also described a taxonomy derived from real user scenarios. That taxonomy was used to build instruction-tuning data for tasks including recognition, transcription, conversion, analysis, commonsense reasoning, logical reasoning, multi-image comparison, and safety-related prompts. The model family combined three major pieces: A hybrid vision encoder A vision-language adaptor A DeepSeek language model The hybrid encoder paired a lower-resolution semantic branch based on SigLIP-L with a higher-resolution branch derived from a SAM-B-style encoder. The design goal was practical: global semantic understanding is not enough for small text, dense documents, OCR, and visual grounding. The three-stage training recipe The paper described a staged approach: Adaptor warm-up: train the vision-language adaptor while the primary vision and language comp