DeepSeek unveils Flash Vision v4
deepseek
| Source: HN | Original article
DeepSeek unveils its experimental v4 Flash Vision model, which can process images with text to describe pictures, read screenshots, and analyze charts.
DeepSeek has rolled out an experimental multimodal model, deepseek‑v4‑flash‑vision‑exp, marking the company’s first publicly available vision‑enabled large language model. The new offering, launched on 21 August 2026, extends the existing DeepSeek‑V4 Flash family with the ability to process images alongside text, letting users ask the model to describe pictures, extract text from screenshots, or interpret charts.
The move addresses a recurring criticism noted on developer forums: earlier versions of the model would claim visual competence but fall back on fabricated text‑based analysis when faced with actual images. By integrating genuine image input, DeepSeek aims to close that gap and broaden the range of applications—from visual document processing to data‑driven insights—available to its user base.
Pricing details released on OpenRouter show the service costing $0.22 per million input tokens and $0.66 per million output tokens, with an additional cache‑read fee of $0.007 per million tokens. Prompt caching can lower effective rates, and the model retains the broader DeepSeek‑V4 limits: a 1 million token context window, a 384 K token output ceiling, and 2 500 concurrent requests. The model is also listed on the ofox platform under the identifier deepseek/deepseek‑v4‑flash‑vision‑exp, and Hugging Face provides starter code for integration.
Industry observers will be watching how quickly developers adopt the vision capability, especially given the competitive pricing and the model’s concurrency limits. Performance benchmarks, real‑world usage patterns, and any subsequent pricing adjustments will signal whether DeepSeek can translate its multimodal promise into a sustainable edge over rivals such as OpenAI’s GPT‑4‑Turbo Vision or Anthropic’s Claude‑3. Further refinements or a full‑scale release could cement DeepSeek’s position in the rapidly evolving AI landscape.
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