You're overpaying for AI. We'll prove it in minutes.
No estimates, no guesses. We measure your real usage, find the cheaper route for each workload, and prove it with independent benchmarks for both quality and price.
Metadata only by default. Never without an explicit opt-in.
Works with your AI ecosystem.
How It Works
Connect once. Governed decisions on every workload.
Run the CostMyAI Verification Engine in your environment, point your SDK base URL at it, and get benchmark-backed switching decisions. Your provider keys stay where they are.
That is the whole setup. Point your application's SDK base URL at the Verification Engine that runs in your own environment — your code, your provider keys, your contracts, nothing moves to us — and governed decisions on every workload start flowing.
The levels are a standard, not a feature list. Read The CostMyAI Standard.
You see which switches hold quality on real benchmarks, and the ones we refuse to certify. A governed decision names what it cannot prove.
See how it works in fullWhy this is a system, not an audit
Nothing about AI pricing holds still.
Why would a one-time audit?
Prices are cut in response to competitors, your own workloads get heavier as they mature, and the same model ID can bill differently next quarter with your code untouched. An audit tells you where you stood. We measure where you are.
Read the full argument, and what we can and cannot proveEstimator
How much could you save?
Two quick steps, priced against the live catalog with the same quality bar the product runs. If the benchmark cannot back a claim, it says so instead of inventing a number.
Indicative
—
Pick a workload and a provider — spend alone is not a measurement
Monthly AI spend
$4,000
/ monthBuilt For
Built for whoever is accountable for the AI spend.
From a first scary invoice to governance across every team.
Spend Forecast
Your month-end AI bill, before the invoice arrives.
Most teams find out what AI cost them after the money is gone. We project the close of the month from your real usage, and we tell you what the projection is based on.
Month to date
Actual
Known, never re-estimated
Rest of month
Projected
From your trailing usage level
Month-end
Point or range
Range when the data demands it
Month-end forecast
$4,655
range $4,446 – $4,864day 18 of 30
Landed before the invoice does. Here is everything that number is built from.
Known
Month-to-date
Every day already billed is a fixed measurement. It never moves.
Projected
Remaining days
Trailing usage shape is carried forward, damped so one spike cannot run away.
Forecast
Month-end
A single number when the data supports it. A range when that would be dishonest.
What you already spent is never guessed
Month-to-date comes from real usage, so the part of the month that already happened never moves.
A spike is not a trend
Growth is carried forward damped and capped, so one loud week cannot become the month.
A range when a number would be dishonest
When usage is too dispersed for a single figure, you get a range instead.
The exact weighting behind these rules is ours. What is public is the principle: every forecast states its own basis, so you always know whether you are looking at a measurement or an estimate. Read how we forecast.
Security, by architecture
Why would you give an AI optimization company access to your AI traffic?
You don't. No prompts leave your environment. No completions leave your environment. No provider keys leave your environment. Nothing to migrate. CostMyAI sees the economics of your usage — never its content.
Architecture
Runs in your environment. Sees only metadata.
Connect in minutes. Nothing to migrate, nothing to rewrite.
The Verification Engine sits in your stack as middleware. Requests pass through unchanged; only token counts and model names leave your environment by default. No prompt content leaves your environment unless you explicitly opt in to remote classification — see how that opt-in works.
01request
Your App
Makes API requests
02forwarded unchanged
Verification Engine
Middleware in your environment
03provider
AI Provider
OpenAI, Anthropic, Gemini, others
03 · RESPONSE
Travels the same path in reverse — provider → engine → your app. The engine counts tokens; it does not read the body.
04 · METADATA ONLY
The only leg that leaves your environment carries nothing we could reconstruct a prompt from.
Aggregate rows. Token counts, model names, hosts. No prompt content by default.
Pricing
Start free. Scale when you need to.
Pricing covers 410 models across 71 providers.
Compare
Free
No card, ever
Same model, run through whichever provider charges less for it. Nothing about the output changes. Only who gets paid.
- Same model, cheaper host — across every priced host
- Live price catalog, re-synced continuously across every tracked provider
- Metadata-only ingest, no provider keys
- Spend, tokens and requests over 24h / 7d / 30d
- Up to 3 workspace members
Certify
$58 /mo
billed annually
A cheaper model, proven to score the same as what you're running today. 'Certified' means it cleared a benchmark test built to catch the difference. Not just a claim that it's just as good.
- Everything in Compare
- Quality-matched cheaper models, cheapest that clears the bar
- Published evaluation, score and measurement margin per claim
- Refusals with reasons when nothing clears
- Objectives: cost, latency ceiling, quality floor
- Invoice reconciliation against your own provider bills
- Up to 10 workspace members
Rightsize
$324 /mo
not on sale yet — price shown for reference
Matches the model to what the task actually requires. Some tasks are running on far more model than the work needs. Rightsize points those at a model built for that size of problem, not a smaller budget.
- Everything in Certify
- Oversized-workload detection per task class
- Manual switch activation, pause and one-click rollback
- Up to 25 workspace members
In closed beta — invitation only
Govern
$749 /mo
not on sale yet — price shown for reference
Everything Compare, Certify, and Rightsize already proved safe, applied automatically. Without you clicking anything. Every switch it runs on its own already cleared the same evidence bar Compare, Certify, and Rightsize use for you.
- Everything in Rightsize
- Autonomous switching inside the equivalence band
- Re-checked at the moment of action, not only at evaluation
- Full audit trail of every automated decision
- Unlimited workspace members
In closed beta — invitation only
Neutrality Charter
We don't work for OpenAI, Anthropic, or anyone else who sells you tokens. We work for your P&L.
Nobody is buying products or features — they all buy a better P&L.
Financial Governance requires independence. We have no provider affiliations, no sponsored placements, and no incentive to recommend any specific model.
CostMyAI has no economic reason to prefer OpenAI, Anthropic, Google, Azure, AWS, Together, Fireworks, or any other provider — we are paid by you, not by where the workload lands.
No vendor affiliation
No provider pays for placement, ranking, or inclusion. There is no ad slot to buy here.
Buy-side only
We are paid by you and only by you. A cost advisor with a revenue share from the destination is a sales channel in a lab coat.
Independent benchmarks
Quality claims rest on third-party evaluations we do not run, with the measurement margin published alongside the score.
Refusal is a feature
When nothing clears the bar you get the refusal and its reason — not a weaker suggestion dressed up as a saving.
Why we refuse to match a headline number from other AI-spend tools.
Some routers advertise cost reduction by citing their own internal reports — not independent, third-party verification. CostMyAI will not certify a switch we cannot prove against a published, independent benchmark. A global routing dial that silently reroutes traffic might move most of your workloads; we would refuse to certify most of those moves because they lack per-workload proof. When the benchmark cannot separate the models, you get a refusal and the reason — not a weaker suggestion dressed up as a saving.
FAQ
Common questions, accurate answers.
No, and this is one of the most common misconceptions in AI budgeting. Model pricing and model quality do not move together in a straight line. Competitive pressure and efficiency gains mean a meaningfully cheaper model can perform equivalently to a more expensive one on a specific task, while being genuinely worse on a different task. The only reliable way to know which is true for your workload is to measure it, not assume it from the price tag.
Read more →You should be cautious about this, and the caution is justified. An API key is a live credential with direct access to billable resources and, depending on the provider, to real usage data. Handing a raw key to a third party service means trusting that service's own security indefinitely, and if that service is ever compromised, your key is compromised with it.
Read more →Shadow AI spend is money an organization is spending on AI tools that were never reviewed or approved by IT or procurement, often small individual subscriptions that look trivial one at a time and become a real, uncounted line item once added up across an entire company. Audits routinely surface hundreds of unsanctioned tools and significant unconsolidated spend once someone actually looks.
Read more →Per token prices have fallen dramatically over the past two years, and bills have still gone up for most organizations running AI at any real scale. The reason is consumption, not price. Agentic workflows, where a model plans, calls tools, checks its own work, and iterates, can use ten to thirty times more tokens per completed task than a single chatbot style request. A falling price per token does very little to offset a workload quietly generating thirty times as many tokens to finish the same job.
Read more →Ship faster. Spend less. Never get blindsided by a price change.
Connect once and get a complete, defensible breakdown of every workload in under 60 seconds — what holds quality cheaper, what does not, and exactly what we refuse to certify.