Kimi API Pricing (What to Track)
Understand Kimi pricing with input/output tokens and workflow call volume so you can control spend.
Kimi pricing becomes confusing when you ignore the *number of calls* your app triggers. Once you count calls, the picture gets clear.
The two tokens that matter
- Input tokens: context and tool payload you send
- Output tokens: the response you receive
Add call volume to make it real
Total cost scales with how many times your workflow calls Kimi — especially under failures or multi-step revisions.
What to optimize
- Keep prompts short and structured
- Limit tool outputs and retry depth
- Add budgets and stop rules for runaway agent behavior
Next step
Estimate monthly cost with the AI cost calculator .
Related reading
A clear way to estimate Claude costs, including input vs output tokens and workflow call volume.
How to estimate DeepSeek costs and compare value across tasks, especially when you optimize prompts and reduce retries.
A decision framework for choosing between GPT-4 and Claude based on real workflow token usage.
Understand OpenAI cost drivers and how to estimate cost per token for input and output.