LLM API Cost & AI Project Pricing Calculator

Compare costs across GPT-4o, Claude 3.5 Sonnet, and Gemini 2.0. Estimate your project margins, add markups, and calculate client pricing for AI implementation in India.

🔒 Your prompts and token counts never leave your browser.

🤖 Single Model Estimation

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Input Tokens per Request 1,000 tokens ≈ 750 words

Output Tokens per Request

Requests per Day

USD/INR Rate

₹

📊 Competitive Analysis

Input Tokens per Request

Output Tokens per Request

Requests per Day

USD/INR Rate

₹

💼 Freelancer Quote Generator

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Est. Input Tokens / Request

Est. Output Tokens / Request

Total Requests in Project

Your Markup (on API cost)

2×3×10×

Development Hours

Hourly Rate ($)

USD/INR Rate

₹

The Economics of AI Projects in India

As an AI freelancer or agency, pricing your projects requires balancing three separate costs: API consumption, Development time, and Markup. This calculator helps you navigate the rapidly changing pricing landscape of models like GPT-4o, Claude 3.5 Sonnet, and Gemini 2.0 Flash.

Input vs Output: Why the difference?

Every LLM provider charges differently for input tokens (your prompt + context) and output tokens (the AI's response). Output tokens are typically 3x to 5x more expensive because generating new tokens is more computationally intensive than processing existing ones. When building RAG (Retrieval Augmented Generation) systems, your input tokens will likely be much higher than your output tokens.

Pricing Models as of 2026

Reasoning Models (o1, o3): Highest cost, best for complex logic, math, and architecture.
Flagship Models (GPT-4o, Claude Sonnet): Balanced cost, standard for most high-quality business applications.
Flash/Mini Models (GPT-4o mini, Gemini Flash): Ultra-low cost, ideal for high-volume tasks like summarization, categorization, and simple chat.

GST Tip for Indian AI Developers: When you pay for OpenAI or Anthropic using an Indian credit card, it is an "Import of Services." If you are GST registered, you must pay 18% IGST under the Reverse Charge Mechanism (RCM). Factor this into your client pricing!

How to Price AI Projects

We recommend a Value-Based Pricing model rather than just "cost-plus."

Base Cost: Calculated API cost + Your development time.
The Buffer: Add at least a 20% buffer for token variability (some prompts generate much longer responses than others).
The Markup: For managed API services where you pay the provider, add a 3x-5x markup to cover maintenance, risks of API changes, and profit.