Future-Proof Your DeepSeek API Integrations for V4-Pro
Update your API model parameters to v4-pro or v4-flash today.
Migrate your API calls from legacy model names to 'deepseek-v4-pro' or 'deepseek-v4-flash' to access 1.6T parameter capabilities and avoid the July 2026 deprecation.
The Scenario
You are a developer maintaining an AI-powered application and need to upgrade to the latest model to improve context length and reasoning capabilities before legacy endpoints expire.
Before & after
Developers often manually monitor API changelogs and stick to older versions like `deepseek-chat` or `v3.2` for long periods. Updating legacy integrations can take 30–60 minutes of research and testing.
By updating your model parameter to `deepseek-v4-pro`, you gain access to a 1.6T parameter model with 1M-token context. This transition takes about 2 minutes to update your configuration files.
The Prompt
I am currently using the DeepSeek API with the model parameter set to [OLD_MODEL_NAME]. Please help me update my Python/Node.js script to use the new `deepseek-v4-pro` model while maintaining the existing base_url. Here is my current code: [PASTE_CODE_HERE]
The DeepSeek-V4 update introduces two primary models: V4-Pro and V4-Flash. V4-Pro is a Mixture-of-Experts (MoE) model with 1.6 trillion parameters, while V4-Flash offers high performance with OpenAI and Anthropic interface compatibility. Existing model names like `deepseek-chat` and `deepseek-reasoner` currently point to V4-Flash, but they will be discontinued on July 24, 2026. Transitioning early ensures your code is future-proof and takes advantage of the newer hybrid attention architecture.
Source
Change Log | DeepSeek API Docs"To access the new models, the base_url remains unchanged, and the model parameter should be set to deepseek-v4-pro or deepseek-v4-flash."