Why does this guide avoid fixed price claims?
API prices and model availability can change. The live pricing table is the source for current costs; this page explains how to think about cost before routing traffic.
AI API pricing guide
TKEN supports multiple model families through one OpenAI-compatible gateway. Use this guide to decide what to check before selecting a model, then confirm the current price on the live pricing page. The API base URL is https://www.tken.shop/v1.
1. Choose a task: chat, coding, extraction, agent step
2. Pick candidate models: GPT, Claude, DeepSeek, Qwen, Kimi, MiniMax
3. Run a short prompt sample
4. Check input and output token usage
5. Confirm live price on /pricing
6. Add a cost guardrail before scaling traffic
The cheapest listed model is not always the cheapest workflow. Long outputs, retries, tool calls, low cache hit rates and poor task fit can make a low-price model more expensive in practice.
API prices and model availability can change. The live pricing table is the source for current costs; this page explains how to think about cost before routing traffic.
Run a representative prompt batch, measure usage and response quality, compare it with at least one fallback model, then move a small percentage of traffic.
Set a spend cap, log non-sensitive usage metrics, confirm the selected model price, and keep a fallback route for errors or rate limits.
Use this guide for planning and the pricing page for the current numbers.