Use DeepSeek Reasoner for Complex Mathematical and Logic Benchmarks
Toggle 'Thinking Mode' via the reasoner endpoint for heavy logic tasks.
Use the 'deepseek-reasoner' model specifically for tasks requiring deep logic, math, or complex reasoning to leverage the model's dedicated thinking capacity.
The Scenario
You are faced with a complex coding bug or a sophisticated mathematical proof that requires more than just a quick prediction of the next token.
Before & after
A user prompts a standard chat model for a complex math or logic problem, receiving a fast but confidently incorrect answer. The user then spends 20 minutes manually checking the math.
Switching to the 'deepseek-reasoner' endpoint (DeepSeek-V3.2 thinking mode) generates a step-by-step chain of thought to solve the logic, taking about 30-60 seconds.
The Prompt
[SET_MODEL_TO_DEEPSEEK_REASONER] I need you to solve this complex logic and mathematical problem using your internal 'thinking mode' to verify each step: [INSERT_COMPLEX_PROBLEM]
DeepSeek-V3.2 introduced a clear distinction between 'non-thinking' (chat) and 'thinking' (reasoner) modes. The thinking mode is specifically optimized for tasks that require high-compute reasoning, such as AIME-level math or complex coding architecture.
Source
Change Log | DeepSeek API Docs"deepseek-reasoner corresponds to DeepSeek-V3.2's thinking mode."