Your AI Bill Has a 30x Leak: Move High-Volume Work to the New Cheap Tier
Four labs shipped new models in two weeks, and the gap between the best one and a capable cheap one is now more than 30x. Here is the 20-minute move to stop paying flagship prices for grunt work.
What happened. In the last two weeks of July 2026, four labs shipped at once. Anthropic put Claude Opus 5 on top of the public intelligence and agentic rankings at roughly $5 per million input tokens and $25 per million output. At month-end DeepSeek shipped V4-Flash at about $0.14 in and $0.28 out. Same window: OpenAI's GPT-5.6 family and xAI's Grok 4.5.
The so-what for operators. The price gap between the best model and a capable cheap one is now more than 30x. Most owners point one model at everything, which means paying flagship rates to summarize a voicemail or tag inbound leads. Your job is not to track every launch. It is to run a simple rule that soaks up the cheap capacity and saves the expensive model for judgment.
The move (20 minutes). Sort your recurring AI tasks into two buckets:
- High volume, low stakes: categorizing email, cleaning up notes, drafting first-pass replies, summarizing transcripts. Route these to the cheap tier.
- High stakes, low volume: pricing, contracts, anything a customer or the IRS reads, anything you sign. Keep these on the top model, and cross-check the ones that matter.
Pick your single highest-volume task, run 10 real examples on the cheap model, and read the output like a critic. If it holds, switch that task over. One high-volume task moved off a flagship model can cut its slice of the bill by 90 percent.
One caution: keep customer records and financials in a private or business AI workspace, not a free public tier, no matter which model you route to.