The deepseek-v4-flash-vision-exp model accepts images alongside text, so you can ask the model to describe pictures, read text from screenshots, analyze charts, and more.Supported image formats: JPEG, PNG, GIF, and WebP. The format is detected from the actual file content, not from the file name or the declared MIME type.
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding, and long-horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks.
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. It is designed for fast inference and high-throughput workloads, while maintaining strong reasoning and coding performance.
DeepSeek v3.2 是 DeepSeek V3 系列中最新的正式發佈版本：一個大型、推理優先的開放權重語言模型系列，旨在支援長上下文理解、穩健的 Agent/工具運用、高階推理、程式設計與數學。
deepseek-r2 coming soon
DeepSeek-Reasoner 是 DeepSeek 的推理優先 LLM 與 API 端點系列，旨在 (1) 向呼叫者呈現其內部的思維鏈（CoT）推理，並且 (2) 在針對多步規劃、數學、程式設計與代理／工具使用調校的“思考”模式下運作。
最受歡迎且具成本效益的 DeepSeek-V3 模型。671B 全血版。此模型支援最大 64,000 個 token 的上下文長度。
coming soon