Use DeepSeek-Reasoner for Complex Chain-of-Thought Logical Tasks
Enable thinking mode to solve complex logical and mathematical problems.
Switch your API call or model selection to 'deepseek-reasoner' when tackling complex logic, math, or coding bugs to trigger the model's internal thinking process.
The Scenario
You are an engineer faced with a subtle race condition in your code or a complex mathematical optimization problem that regular LLMs consistently fail to solve correctly.
Before & after
You might spend 30-45 minutes manually stepping through complex code or using a standard chat model that gives quick but shallow logic answers.
By switching to 'deepseek-reasoner' (V3.2 thinking mode), the AI spends more time on internal logic before responding. This reduces debugging cycles to approximately 2-4 minutes.
The Prompt
I am going to use the DeepSeek-Reasoner (Thinking Mode). Please solve this complex logic puzzle or debug this intricate code block: [PASTE_CODE_OR_PROBLEM_HERE]. Walk me through your internal reasoning step-by-step.
DeepSeek-V3.2 utilizes a hybrid reasoning architecture. The 'reasoner' endpoint specifically enables a 'thinking mode' where the model performs extensive internal chain-of-thought processing. This is ideal for tasks where accuracy in logic is more important than speed.
Source
Change Log | DeepSeek API Docs"deepseek-reasoner' corresponds to DeepSeek-V3.2's thinking mode"