Choosing the Right Model for Your Project
Small, fast models are perfect for classification, extraction and simple chat. Large reasoning models shine at complex analysis and code.
Consider cost per request 💰
Credits are consumed based on the number of input and output tokens. A cheaper model can often achieve the same result when the task is simple.
Model comparison
| Model class | Best for | Relative cost |
|---|---|---|
| mini / fast | Chat, extraction, classification | Lowest |
| standard | General reasoning, drafting | Medium |
| reasoning | Math, code, analysis | Highest |
Test before you commit 🧪
Run a few representative prompts through a small model first. If quality is not enough, move up the model ladder instead of paying for the largest one from day one.
Monitor and adjust 📈
Check your usage regularly in the panel and switch models if you see a big gap between quality and spend.
Frequently asked questions ❓
What is the fastest model?
The mini-class models have the lowest latency and are best for chat, extraction and classification.
When should I pay for a reasoning model?
For math, code and multi-step analysis, reasoning models are usually worth the extra cost.
Can I switch models later?
Yes. Tokens are model-agnostic — just change the model name in your request.
Do all models cost the same?
No. Each model class has its own credit price, shown in the panel before you send.
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