DeepSeek V3.1 Thinking activates the model's chain-of-thought capabilities, significantly boosting performance in math, coding, and complex reasoning tasks. While slower than the standard mode due to its 'thinking' process, it achieves markedly higher scores on logic-heavy benchmarks like AIME and GPQA. It sacrifices some speed and conversational fluidity for depth and analytical precision.