DeepSeek-V4-Pro

DeepSeek-V4-Pro is a large language model built by DeepSeek. Its standout feature is letting users decide how long the model should "think" before answering. You pick from three levels—Low, High, and Max—much like shifting gears in a car: low gear for simple questions, high gear for complex problems. The longer it thinks, the more accurate the answer tends to be, but that also means longer wait times and higher costs.

The model has shown particular strength in tasks that require multiple steps, such as reading files and executing commands in sequence. In tests measuring the ability to process commands sequentially in a terminal, it performed on par with rival models, and it was designed to connect directly with OpenAI's coding tools. Notably, benchmark numbers leaked the day before the official launch turned out to match the real announcement exactly, which drew attention.

On pricing, it's reportedly cheaper than other top-tier models released around the same time. This combination of strong performance and low price reflects the broader competitive dynamics of the market it belongs to.

Articles typically describe it as "now available directly through Expert Mode in the DeepSeek chat app and web, as well as via the API." Here, Expert Mode isn't a separate new product—it's simply the menu name for turning on DeepSeek-V4-Pro within the app. Another common point of confusion: the reasoning intensity levels (Low, High, Max) don't change the underlying model itself; they're an option that adjusts how long the same model thinks before generating an answer.

In the DeepSeek app or web chat window, try specifying your desired reasoning intensity in your prompt as shown below.

1. Simple question - "Answer at Low intensity: summarize today's meeting notes in three lines."
2. Multi-step task - "At High intensity: find the bug in this code and present the fixed code step by step."
3. Complex problem - "At Max intensity: solve the math problem below step by step and verify the answer."

By asking the same question while only changing the intensity level, you can directly compare how response speed and depth of answer change.