AI Subscription Cost Calculator
Data-backed recommendation engine. Tell us your use case, document size & budget — we show exactly what you can build, with real examples, context window math, and true INR cost after forex & GST.
| Model | Context window | India cost/mo | Pricing | Best for |
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AI Subscription Cost Calculator — Context Windows, True INR Cost & What You Can Actually Build
Most AI subscription comparisons tell you the price. This calculator tells you what you get for that price — specifically, how large a document each model can handle, what you can realistically build, and what the effective cost is in rupees after forex markup and 18% GST.
What is a context window and why does it matter?
A context window is how much text an AI model can process in one session — your question, your document, the AI's response, and all previous conversation all count toward this limit. One token is roughly 0.75 words. A 128K context holds about 320 pages. A 200K context holds 500 pages. Gemini's 2M context window can hold approximately 5,000 pages — enough for an entire legal archive or a decade of financial reports.
Which AI model has the largest context window in 2026?
Among consumer subscriptions, Google AI Pro (Gemini 3.1) offers the largest context window at 2 million tokens — enough to process an entire codebase or hundreds of legal documents in one session. MiniMax (free) offers 1 million tokens at no cost, making it the best free option for large document work. Claude Pro has a 200K default window with strong quality throughout the full context, while ChatGPT Plus varies between 128K and 400K depending on which model version is serving the request.
Do you actually need RAG if you have a large context window?
For documents under 200K tokens (roughly 500 pages), you often do not need a RAG pipeline — you can simply load the entire document into the prompt. A developer writing on DEV Community described refactoring a 47-file Flask application (8,200 lines, ~28,000 tokens) in 40 minutes by feeding the entire codebase to Claude, versus the day it would have taken to build a RAG system. However, for corpora over 1M tokens that change frequently, RAG is still more cost-effective than filling the full context window on every query.
Why do Indian users pay more than the listed dollar price?
When billed in USD on an Indian card, banks add a foreign currency markup of roughly 2.8%, and the Indian government levies 18% GST on imported digital services. Together these can push a $20/month plan above ₹2,300. OpenAI is the only major provider with official India-specific INR pricing for ChatGPT at ₹1,999 per month including GST. Anthropic, Google, and Perplexity all bill in USD directly.