MARZAI Temperature Simulator
See how temperature affects token sampling, illustrated with a local demo distribution.
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About this tool
An educational, illustrative simulator showing how the temperature parameter reshapes a token probability distribution — using a local demo distribution, not a live model call.
How to use
- Adjust the temperature slider.
- Watch how the demo probability distribution flattens (higher temperature) or sharpens (lower temperature).
- Use the visualization to build intuition, not to predict a specific real model's output.
FAQ
Does this call a real AI model?
No. This is a transparent, illustrative simulation using a fixed local demo distribution to visually explain the concept of temperature — it does not reflect any specific model's real output.
What does temperature actually do in real models?
Temperature rescales the model's output probability distribution before sampling: lower values make high-probability tokens even more likely (more deterministic output), higher values flatten the distribution (more random, diverse output).