Migrate to DeepSeek-V4 Models Before the July 2026 Deprecation
Upgrade your AI workflows with standardized API model parameters.
Switch your API integrations to use the `deepseek-v4-pro` or `deepseek-v4-flash` model names immediately to ensure compatibility with standardized OpenAI/Anthropic SDKs.
The Scenario
An AI developer wants to transition their existing chatbot from a legacy model to the more robust DeepSeek-V4 system to improve reliability and cost-efficiency. They need to ensure the transition is seamless without changing their entire codebase.
Before & after
Developers previously had to manage disparate API endpoints or legacy model names like `deepseek-chat` and `deepseek-reasoner` which could be confusing. Manually updating and testing these legacy rotations could take up to 2 hours of refactoring.
Using the unified interface, you can switch between `deepseek-v4-pro` and `deepseek-v4-flash` via the API without rewriting your integration logic. This takes about 2 minutes to update your configuration file.
The Prompt
# Use this configuration in your application to access the new V4 models
client = OpenAI(
api_key="[YOUR_DEEPSEEK_API_KEY]",
base_url="https://api.deepseek.com"
)
response = client.chat.completions.create(
model="deepseek-v4-pro",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "[YOUR_QUESTION_HERE]"}
],
stream=False
)DeepSeek-V4-Pro and V4-Flash are now fully compatible with both OpenAI and Anthropic interface standards. This means you can use existing SDKs and libraries (like the OpenAI Python library) by simply swapping the base_url and the model name to `deepseek-v4-pro` or `deepseek-v4-flash`.
Source
Change Log | DeepSeek API Docs"DeepSeek API now supports V4-Pro and V4-Flash, available via both the OpenAI ChatCompletions interface and the Anthropic interface."