The AI Bill Reality Check
Flat-rate AI ended in 2026. Adjust the inputs below and see what your team is actually on track to spend.
A rough estimate, based on published API pricing and usage research.
See where your AI bill is headed, and what governing it could save.
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This estimates your AI spend. It is not a Chiri price. Chiri quotes its platform and services separately.
What changed
For two years, a fixed monthly subscription hid the real cost of AI. That subsidy is ending. In late 2025 and through 2026, major vendors moved enterprise customers off bundled usage. They switched customers to metered, per-token billing instead. Anthropic now charges most enterprise accounts a low base seat fee. Every token then costs the standard API rate, with no usage included. [1]
Token prices fell 98%. Enterprise AI bills tripled anyway. [10]
The reason is volume. As teams move from chatting with AI to running agents, consumption explodes. Anthropic's own research found agents use roughly 4x the tokens of a single chat. Multi-agent systems use about 15x. [8] The price per token keeps dropping. The number of tokens you use climbs far faster.
Why coding felt free
A $200 ChatGPT plan can return up to roughly $14,000 in API-equivalent tokens a month. The same $200 Claude Max tier caps out closer to $8,000. [4] That is a deliberate subsidy aimed at engineers. Engineers are the users AI labs most want to keep using their tools.
Heavily subsidized. The cheapest tokens you'll ever buy.
Ops, finance, HR, go-to-market. They never carried the subsidy, so they bill at true cost.
The trap
Past about 150 seats, accounts move to an enterprise tier. The seat fee no longer covers any usage. Every token then bills at the standard API rate. [1] Adding more people to AI makes this cliff cost more. And that happens exactly when adoption is finally working.
Uber used up its full-year AI budget in four months. It then capped engineers at $1,500 a month. [7]
What tokens actually cost
Not all tokens are priced the same. Frontier models cost far more than last year's models. Seat bundles hide the per-token rate entirely.
That 10–40x spread between frontier and previous-generation models is exactly what routing takes advantage of. Flat, seat-based bundles hide the real per-token cost until you hit usage caps.
These are approximate list prices. They vary by model and tier. See the sources below for vendor pricing references.
The next step
We govern, route, and monitor the back-office, ops, and finance work that generates the real bill. That way, it scales with your business instead of spiraling.
Talk to us →We build it. You own it. Chiri scales it.
Sources and assumptions
Profile sets the monthly token volume for each person (Light ~3M, Mixed ~12M, Heavy ~45M tokens/month). Your AI model or tool count multiplies total consumption (1 model = 1x, 7+ models = 1.9x). Use case sets the non-coding share. The premium default costs about $7 per million tokens while enterprise usage remains partly bundled. Past about 150 seats, the price increases to about $11 per million tokens after bundled usage ends. Governed routing uses about $3 per million tokens for routable work. Frontier code work uses about $7 per million tokens. Your use case's non-code share determines this blend. The estimate includes prompt caching and usage monitoring. Figures are approximate and for discussion.