Quick answer
Temperature is an AI parameter (usually 0.0-2.0) that controls randomness. Low temperature = predictable, focused, often-the-same answers. High temperature = creative, varied, sometimes wild. Most consumer chat apps lock it to a default; API users tune it for their use case. For factual answers use 0.0-0.3; for creative writing use 0.7-1.2.
If you have used the OpenAI or Anthropic API directly, you have seen a "temperature" setting. ChatGPT and Claude don't expose it in the consumer app, but it is happening behind the scenes. Knowing what it does helps you control AI better when you have access to it.
What does temperature actually do?
When an AI generates text, at each step it has many possible next words ranked by likelihood. With temperature near 0, it picks the highest-likelihood word every time — deterministic and consistent. With higher temperature, it injects randomness — sometimes picking the second or third choice. That makes outputs more varied and creative, but also less predictable.
When to use low temperature (0.0 - 0.3)
- Factual Q&A — you want the right answer, not creative variants
- Code generation — bugs love randomness
- Data extraction — pulling structured info from text
- Translation — accuracy over flair
- Compliance checks — same input → same output is essential
When to use high temperature (0.7 - 1.2)
- Creative writing — fiction, poetry, song lyrics
- Brainstorming — you want variety, not the same idea
- Marketing copy — break out of generic phrasing
- Naming products or features — explore the space
- When you want to retry and get a meaningfully different answer
Temperature 0 is NOT actually deterministic in most modern models — small numerical differences in computation can still vary outputs slightly. For true determinism, also set a fixed "seed" parameter where supported.
Default temperatures in major AI apps
ChatGPT: ~0.7-1.0 (varies by use case). Claude.ai: ~1.0. Gemini app: ~0.9. API defaults: OpenAI 1.0, Anthropic 1.0, Google 1.0. If you build with an API, lower it to 0.0-0.2 for any task where consistency matters.
Related reading
Bottom line
Temperature controls how predictable AI outputs are. Low for facts and code. High for creative work. Most users never see it because consumer apps hide it; if you use the API, tuning temperature is one of the easiest ways to make AI better for your task.
