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DeepSeek-v4-flash-vision-exp

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Why This Matters

DeepSeek-v4-flash-vision-exp enhances AI models by enabling image understanding alongside text, allowing for more comprehensive analysis such as reading text from images and analyzing charts. This development is significant for the tech industry as it broadens AI capabilities in multimedia comprehension, benefiting applications from accessibility to data analysis. Consumers and businesses can leverage this technology for more intuitive and efficient interactions with visual content.

Key Takeaways

Vision

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.

There are three ways to provide an image to the model. All of them use the standard OpenAI-compatible Chat Completions format, where content is an array of blocks instead of a plain string. The same three methods are also available in the Responses API, where images are carried in input_image content parts.

The base_url for the examples below is https://api.deepseek.com .

Encode the image and embed it directly in the request as a data: URL. This is the simplest option for local files. The encoded data counts toward the 48 MiB request body limit (see Limits).

import base64

from openai import OpenAI

client = OpenAI ( api_key = "<DeepSeek API Key>" , base_url = "https://api.deepseek.com" )

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