AI economy
The real cost of LLMs, not just $/M tokens.
Most pricing pages hide the parts that actually move your bill: output is 3–5× input, cached input is nearly free, long context quietly burns money. This one doesn't.
Model Context Protocol
Use it from your AI assistant.
Same dataset, same tools — callable from Claude Desktop, Cursor, Claude Code, or any MCP-aware client. Paste one URL into your config. No install, no auth, free.
See how it works{
"mcpServers": {
"ai-pricing": {
"url": "https://aieconomylab.com/mcp"
}
}
} Four lenses most pricing pages skip
Input vs output asymmetry
Output tokens cost 3–5× input across every major provider. Most budgets ignore this.
Cached input
Prompt caching drops repeated system prompts to ~10% of normal cost. Big teams pay full price because no one measured it.
Context window trap
Longer context = higher cost, slower replies, worse answers (lost-in-the-middle). A 2M window is a tool, not a feature.
Language tokenization
Turkish prompts take 30–40% more tokens than English, depending on the tokenizer. Arabic is 50%+. Your non-English users cost more.
Stay ahead of the bill.
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