AI API Pricing and Token Billing

AI API pricing is usually based on token usage. For development teams, the most important questions are how input tokens are priced, how output tokens are priced, how usage is tracked, and how billing is managed across different model providers.

Input and output token pricing

Most AI models charge separately for input tokens and output tokens. Input tokens are the text, messages, and context sent to the model. Output tokens are the generated response. Seenlife API keeps model pricing visible so customers can compare supported GPT and DeepSeek options before choosing a model.

Unified balance and billing

• Recharge one account balance.
• Use one API key across supported models.
• Track token usage by request and model.
• Review pricing in one place.
• Reduce billing complexity for teams and projects.

Plan usage before scaling

For production applications, pricing should be evaluated together with quality, latency, and expected request volume. Start by reviewing the pricing page, then test supported models through the API documentation.