Free · no signup · vendor-independent
The same AI model can cost you 10× more — depending on where you run it.
AI spend scales with usage, so the provider you defaulted to can quietly become a large recurring cost. Before you sign anything, see what each model actually costs across every provider that serves it.
Compare model prices on Verna One →
Why this belongs on the board agenda
For open-weight models, several providers host the identical model and price it independently — so the cost per million tokens can differ by up to 10× for exactly the same output. For closed models, prices move over time and vary by tier and region. The result is simple: unless someone is actively checking, your AI is almost certainly not running on the cheapest sensible option — and no one owns that decision.
Knowing your AI unit economics — cost per task, per user, per outcome — is ordinary financial control. It also protects you from lock-in: when you can see the whole market on one page, switching or negotiating is a data-backed decision, not a leap of faith.
What the free tool shows
Verna One's model price index puts every provider's price for every model on a single page, normalised to USD per million tokens:
- ~1,500 models across 80+ vendors — text, image, audio and video
- The full provider spread per model, so the cheapest and most expensive host are obvious
- Flags on models whose sources disagree on price, and on models being deprecated or sunset
- Free, no signup, runs in your browser, refreshed regularly
How to use it in ten minutes
- Find your models. Search the model(s) you run today on verna.one/models.
- Read the spread. Compare the cheapest sensible provider to what you're paying now — the gap is your immediate saving.
- Check lifecycle. Confirm nothing you depend on is flagged for deprecation, and note the current equivalent.
- Take it to the table. Turn the numbers into a switch/negotiate decision — that's the governance step.
Independent of every vendor — advice measured in value
Live price data is only useful if someone owns the decisions behind it. A Fractional Chief AI Officer keeps your AI unit economics honest, governs the risk, and makes sure the right initiatives actually ship.
Book a strategy call →Frequently asked
Why does the same AI model cost different amounts?
For open-weight models, several providers host the identical model and price it independently — so the cost per million tokens can differ by up to 10× for exactly the same output. For closed models, pricing changes over time and varies by tier, region, and commitment. Unless you check, you are almost certainly not on the cheapest sensible option.
Is the price comparison tool free?
Yes. The model price index at verna.one/models is free, needs no signup, and runs in your browser. It covers roughly 1,500 models across 80+ vendors, normalised to USD per million tokens, and is refreshed regularly.
Why should the board care about model pricing?
AI cost scales with usage, so a wrong default can quietly turn into a large, recurring line item. Knowing your AI unit economics — cost per task, per user, per outcome — is basic financial control, and it protects you from vendor lock-in. It is exactly the kind of thing a Fractional Chief AI Officer keeps honest.
Does Walirian sell this tool?
No. We point to it because it is genuinely useful and vendor-independent. Walirian provides Fractional Chief AI Officer leadership; independent cost governance is part of that work.