AI & Prompt Tools · Free tool
AI Sampling Settings Helper
Recommended temperature, top_p, top_k, and penalties for different use cases — code, creative, factual, reasoning.
Updated April 2026
Pick a use case and get a recommended sampling configuration for OpenAI-style APIs. Values are starting points—tune from here.
Temperature
0.90
top_p
0.95
top_k
80
presence
0.6
frequency
0.3
Rationale
High temperature and top_p encourage novel word choices; presence penalty pushes the model to explore new ideas.
JSON snippet
{
"temperature": 0.9,
"top_p": 0.95,
"top_k": 80,
"presence_penalty": 0.6,
"frequency_penalty": 0.3
}Found this useful?Email
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What it does
Get recommended temperature, top_p, top_k, and penalty settings for your use case — with a short reason why.
Runs entirely in your browser — no upload, no account, no watermark. For more tools in this category see the full tools index.
How to use it
- Pick your use case.
- Read the recommended settings.
- Apply them to your API call.
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