What Is Temperature in AI Models

How Temperature Works

When an AI model generates each word of its response, it calculates a probability for every possible next word. "The capital of France is" almost certainly has "Paris" as the highest-probability next word. At temperature 0, the model always picks the highest-probability option. At higher temperatures, the model sometimes picks lower-probability options, which introduces variety and unpredictability into the output.

Temperature is a number between 0 and 2, though values above 1.0 are rarely useful. Most applications work best between 0 and 0.8. The default temperature on most models is around 0.7, which provides a good balance between consistency and natural variation.

Recommended Temperature Settings

Temperature 0 to 0.2: Maximum Consistency

Use low temperature for tasks where you want the same input to produce the same output every time:

• Classification and categorization
• Data extraction and formatting
• Factual question answering from a knowledge base
• Code generation where correctness matters
• Any task used in automated workflows where predictable output is important

Temperature 0.3 to 0.6: Balanced

Use moderate temperature for tasks that need some natural variation but still need to be reliable:

• Customer support chatbot conversations (each response should sound slightly different)
• Business email drafting
• Product descriptions (varied but professional)
• Report writing

Temperature 0.7 to 1.0: Creative

Use higher temperature for tasks where creativity and variety matter:

• Brainstorming and idea generation
• Creative content writing
• Marketing copy that needs to stand out
• Generating multiple diverse variations of the same content
• Trivia and quiz question generation

Temperature Above 1.0: Rarely Useful

Temperatures above 1.0 make the output increasingly random. The model starts making unusual word choices that can feel incoherent. This is almost never what you want for business applications. Stick to 1.0 as the maximum for even the most creative tasks.

Temperature Does Not Affect Intelligence

A common misconception is that higher temperature makes the model "smarter" or "more creative in its thinking." It does not. Temperature only affects word choice randomness. A model at temperature 0 and temperature 1.0 is equally capable of solving problems. The difference is only in how varied and unpredictable the output text is. For better reasoning, use a reasoning model rather than increasing temperature.

Setting Temperature on the Platform

Temperature can be configured per chatbot or per workflow step. If you are building a customer support chatbot, try 0.3 to 0.5 for natural but consistent responses. For a creative content generator, try 0.7 to 0.8. For a classification or data processing step, use 0 for maximum consistency. Test different settings with your actual use case to find the best balance.