# Cheap AI tokens need request-level receipts > Source: > Published: 2026-06-27 10:19:47+00:00 If you sell or buy cheaper AI model tokens, the headline price is only half the story. A user may start with a simple question: Why did this API key spend more than expected? That question cannot be answered by a model price table alone. It needs a receipt for the actual request path. At Tokens Forge, this is the product problem we keep running into while building lower-cost access to GPT, Claude, Gemini, and research workflows: cheap tokens create trust only when the usage trail is clear. When an API call goes through a gateway, the visible model name is not always the whole story. A useful receipt should preserve: Without that detail, cheap token access can feel like a black box. The customer sees a number go down, but not the reason. Different users trust different routes for different jobs. Some jobs should use official/direct model credit. Some jobs can use lower-cost RMB-style routing. Some long-running research jobs need a warning before they start because retries, data fetches, and expanded context can consume more tokens than a chat message. That is why the accounting surface matters as much as the routing surface. If a product offers cheaper AI tokens but mixes all spend into one unexplained balance, support questions become harder: Those are not edge cases. They are the normal questions people ask once they start using AI in real workflows. A built-in AI Researcher is useful because it gives users a workflow immediately: market notes, company reports, technical analysis, and deeper research. But it also makes token budgeting visible. A fast report, a standard report, and a deep report should not feel identical from a cost perspective. The deeper job may call more model sections, fetch more data, retry more failures, and produce a fuller PDF-style report. The user should see that before the run starts and understand it after the run ends. For a token gateway, I think the clean product loop is: This is the direction Tokens Forge is taking: lower-cost model access plus the ledger needed to trust it. Cheap AI tokens are useful. Cheap AI tokens with request-level receipts are much easier to adopt.