A developer sets temperature=0 when calling the Claude API. What effect does this have on Claude's responses?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Temperature zero is like locking in the most likely answer every time — you get consistent, predictable responses. Perfect for tasks where you want the 'right' answer, not a creative one.
Full explanation below image
Full Explanation
Temperature controls the randomness of token selection during generation. At temperature=0, the model consistently selects the highest-probability token at each step, producing near-deterministic (highly reproducible) outputs. This is ideal for factual Q&A, classification, data extraction, and any task where consistency matters over creativity. Higher temperatures (0.5-1.0) introduce more variety and creativity. Option A is incorrect — temperature has nothing to do with refusals. Option C is nonsensical — temperature=0 means no randomness in token selection, not zero output. Option D is wrong — 0 is a valid and commonly used temperature value.