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DeepSeek Releases Experimental Vision Model Challenging Anthropic

Independent verification of the company’s claimed near‑Opus performance is still limited.

Overview

  • DeepSeek on Friday released DeepSeek‑V4‑Flash‑Vision‑Exp, an experimental multimodal version of its V4‑Flash line that accepts images and visual prompts through the company’s API.
  • The company says internal tests show the model performs close to Anthropic’s Opus 4.8 on multimodal agent tasks, meaning it can reason about images and act with limited human guidance.
  • DeepSeek attributes much lower per‑call cost to architectural choices such as a Mixture‑of‑Experts design and a smaller KV cache for image tokens, which it says cuts inference compute versus rival models.
  • The lab has published open weights under an MIT license and made the V4 family API‑compatible with OpenAI and Anthropic formats to ease developer switching and speed adoption.
  • Industry observers note rising competitive pressure on Western firms and raise questions about training‑from‑output practices, data‑sovereignty risk for customers, and the need for independent third‑party benchmarks.