Stay connected with us on X, Discord, and LinkedIn to stay up to date with future analysis

LLM Price Calculator

Calculate and compare pricing across different LLM models. Choose between token-based or prompt-based calculations to estimate your costs.

Estimates costs for typical conversational AI applications with moderate concurrency, e.g. customer support, information retrieval, and general assistance scenarios.

Input tokens1,000

User message + conversation history per turn.

Response tokens2,000

Chatbot response per turn.

Reasoning tokens1,000

Chatbot reasoning/thought process per turn.

API calls10,000

Simulating moderate concurrent user load. Each API call represents a single turn in an 8–10 message conversation.

Suitable for estimating costs for feature development where responses require moderate context understanding. Values shown are per 1,000 API calls.

Input tokens8,000

Relevant codebase context, API specifications, and key requirements.

Response tokens1,000

Focused code changes, targeted unit tests, and specific documentation updates.

Reasoning tokens2,500

Model's thought process for understanding code context, identifying integration points, and planning changes.

API calls1,000

Simulating an iterative development workflow.

Represents processing documents of substantial length, similar to a 200-page book or a comprehensive legal manual.

Input tokens300,000

A 200-page book or comprehensive legal manual.

Response tokens30,000

A detailed summary, key findings, or structured analysis of the document.

Reasoning tokens0

No reasoning for this use case.

API calls100

Processing multiple large documents over time.

For reasoning models only.