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.
Directional 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 sizes the spend on your AI, not a Chiri price. Chiri's platform and services are quoted separately. Figures are directional and for discussion.
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 the major vendors moved enterprise customers off bundled usage and onto metered, per-token billing. Anthropic now bills most enterprise accounts at a low base seat fee plus every token at standard API rates, with no usage included. [1]
Token prices fell 98%. Enterprise AI bills tripled anyway. [11]
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, and multi-agent systems about 15x. [9] The price per token keeps dropping. The number of tokens you burn 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 nearer $8,000. [4] That is a deliberate subsidy aimed at engineers, because that is who the labs most want hooked.
Heavily subsidized. The cheapest tokens you'll ever buy.
Ops, finance, HR, GTM. They never carried the subsidy, so they bill at true cost.
The trap
Past about 150 seats, accounts move onto an enterprise tier where the seat fee stops including any usage, and every token bills at standard API rates. [1] The more people you put on AI, the harder the cliff hits, exactly when adoption is finally working.
When GitHub Copilot flipped to usage-based credits on June 1, 2026, some developers reported bills jumping 25x overnight. [7] Uber burned its full-year AI budget in four months and capped engineers at $1,500 a month. [8]
What tokens actually cost
Not all tokens are priced the same. Frontier models cost an order of magnitude more than last year's models, and seat bundles hide the per-token rate entirely.
That 10–40x spread between frontier and prev-gen is exactly what routing exploits, and seat-based bundles like Copilot hide the real per-token cost until you hit usage caps.
Directional list prices; 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 where the real bill is generated, so it scales with your business instead of spiraling.
Talk to us →We build it. You own it. Chiri scales it.
Sources and assumptions
Per-person monthly token volume is set by profile (Light ~3M, Mixed ~12M, Heavy ~45M tokens/month). LLM count multiplies total consumption (1 model = 1x, 7+ models = 1.9x). Use case sets the non-coding share. The premium default bills at ~$7/M tokens while enterprise usage is still partly bundled, and jumps to ~$11/M past ~150 seats once the seat fee stops including usage. Governed routing blends ~$3/M for routable work and ~$7/M for code or frontier-needed work, weighted by your use case's non-code share, with prompt caching and monitoring. Figures are directional and for discussion.