Optimize for Latency Using Non-Thinking Mode for Simple Tasks
Use non-thinking mode for high-speed, routine data processing tasks.
Route simple data extraction and conversational tasks to the 'deepseek-chat' endpoint to maximize speed and reduce latency.
The Scenario
You need to quickly reformat a list of 500 email addresses or translate a simple set of UI labels into three different languages.
Before & after
Using a heavy reasoning model for simple greetings or formatting can be slow and consume unnecessary computation, wasting 30–60 seconds per turn.
Using 'deepseek-chat' (non-thinking mode) handles these requests with minimal latency. High-volume tasks are completed in seconds rather than minutes.
The Prompt
Format the following raw data into a clean JSON object without using any reasoning steps: [PASTE_DATA]
Not every interaction needs deep thought. For routine data formatting, basic Q&A, or simple translations, 'deepseek-chat' (Non-Thinking Mode) is more efficient and cost-effective than the 'reasoner' mode.
Source
Change Log | DeepSeek API Docs"deepseek-chat corresponds to DeepSeek-V3.2's non-thinking mode."