Example reportIllustrative data
How much are you overspending on your AI API bill?
A representative Parity Layer report showing how a cheaper model, proven to match your quality prompt by prompt, would cut a team's AI API spend by 30 to 60 percent. Sample company: Northwind Labs.
Parity Layer results
We improved 18.0% of your responses and saved you 51.6%.
Across 10 proven prompts, every routed response is checked against your original model — same quality or better, for a fraction of the cost.
$47,180
saved to date
$76,380
projected / year
Total saved to date
$0
vs $90,700 would-be spend
Projected annual savings
$0/yr
At your current volume
Savings rate
0.0%
Blended across routed traffic
Responses improved
0.0%
of 4,900 checked
Projected monthly
$0/mo
Requests routed
0
Handled by Parity
Prompts live
0
of 10 tracked
Avg saved / request
$0
Would-be spend
$0
Per month, before Parity
Tokens processed
0
last 90d
Spend per prompt — before vs after Parity
Monthly spend on each prompt before Parity, and what you pay now. Bar length = your old bill.
Your most-used prompts
Top three highlighted
Where your traffic actually goes — your busiest prompts drive most of your spend, and most of your savings.
Where your savings come from
Share of monthly savings
This is what Parity proves. What would it save on your prompts?
Free to start · no card · you see the proof for your own prompts before anything ever switches.
Spend over time
Actual paid vs saved, net of our fee, from your billing records
Cheaper and better — every prompt
Each bubble is a prompt. Right = more saved. Up = higher quality vs your model. Size = monthly volume.
Cost per request over time
Blended $/request as adoption grew
12-month projection
If your current volume continues
On track to save $76,380 over the next year.
Top saver
FAQ answer drafter
$1,530
saved across 14,200 requests
Most used
FAQ answer drafter
14,200
requests routed · $1,530 saved
Quality scorecard by prompt
Green = passing · amber = watching · grey = not yet measured
| Prompt | Status | Quality · Speed · Reliability | Match | Routed | Saved |
|---|---|---|---|---|---|
| FAQ answer drafter | Proven | 98.0% | 14,200 | $1,530 | |
| Support ticket summarizer | Proven | 99.0% | 11,800 | $1,380 | |
| Product description rewriter | Proven | 96.0% | 6,900 | $830.00 | |
| Email subject generator | Proven | 97.0% | 9,400 | $790.00 | |
| Invoice data extractor | Proven | 99.0% | 5,200 | $570.00 | |
| Meeting notes summarizer | Proven | 98.0% | 4,100 | $510.00 | |
| Tweet thread writer | Proven | 95.0% | 3,300 | $330.00 | |
| Resume bullet improver | Proven | 96.0% | 1,600 | $170.00 | |
| Code comment explainer | Proven | 94.0% | 900 | $160.00 | |
| Sentiment classifier | Proven | 99.0% | 2,700 | $95.00 |
Recent wins
A live sample of routed requests and what each one saved
Draft an answer to: "How do I reset my password if I lost access to my email?"
Routed by Parity · 2m ago
$0.11
49.0% off
Summarize action items from the Q3 planning sync transcript
Routed by Parity · 6m ago
$0.14
54.0% off
Write a subject line for a Black Friday 40% off campaign
Routed by Parity · 11m ago
$0.09
56.0% off
Extract vendor, total, and due date from invoice #A-2291
Routed by Parity · 18m ago
$0.10
52.0% off
Rewrite for SEO and clarity: "Stainless steel water bottle, 24oz…"
Routed by Parity · 24m ago
$0.12
50.0% off
Classify sentiment: "The app is fast but crashes every time I export."
Routed by Parity · 31m ago
$0.07
50.0% off
Quality of your responses
Every routed response is graded against your original model. Here's how the cheaper model compared.
18.0%
Responses we improved
97.0%
Matched or beat your model
4,900
Responses independently checked
10
Prompts proven at parity
Downstream impact
Quality you can rely on — so cheaper routing never costs you rework, errors, or customer trust downstream.
882
Responses upgraded in quality
97.0%
Quality-assured rate
12,400
Ongoing quality checks
0
Quality regressions
We keep re-checking live traffic after switching. If quality ever drifts, we automatically revert to your original model — you stay protected, and we absorb the cost.
Money we've saved you
Real dollars off your model bill, with no change to how you call the API.
$47,180
Saved to date
$0.48
You now pay (per $1 before)
$0.21
Cost / request before
$0.10
Cost / request now
In the last 90 days, Parity saved you $18,640 across 180,300 requests — a run-rate of $6,365/mo. This is the amount your invoice drops by, net of our fee.
AI API overspend, answered
How do I know if I am overspending on my AI API costs?
You are almost certainly overspending if you send everything to a frontier model by default. Most production AI work, such as summaries, extraction, classification and support answers, runs fine on a cheaper model, but teams keep paying the top-tier price because nobody has proven the cheaper one holds quality on their own prompts. The only way to know is to measure it on your own traffic, which is what this report shows.
How much can I cut my AI API bill?
On the prompts where a cheaper model is proven to match or beat your current one, the saving typically lands in the 30 to 60 percent range. It varies prompt by prompt, which is why each one is proven separately rather than swinging your whole bill at a single cheaper model. The example above shows a representative result.
Does switching to a cheaper AI model mean worse quality?
Not if you prove it first. Parity Layer runs a cheaper candidate against your current model on your real prompts and only routes the ones where a blind judge, held to your own model's standard, confirms the cheaper output matches or beats your baseline. If quality ever drifts it falls straight back to your current model. This is not for coding agents, where cheaper models still lose.
How does Parity Layer prove the saving before anything switches?
Two lines of code, or an offline upload of your past requests. Parity forwards every request to your current provider exactly as before, and in parallel runs a cheaper model on the same prompts. It checks the format, whether the answers agree, and the meaning, then routes only what passed, with instant fallback. You see the proof on your own prompts before a single request changes.
Is this a real customer's report?
No. It is a representative example with illustrative data, sample company Northwind Labs, so you can see the shape of the report without us passing off a specific customer's numbers as your own. Your report is generated from your own prompts once you connect.
Stop paying for models you don't need.
See exactly what a cheaper model would save on your own prompts — proven against your current model, with quality checked on every response, before anything switches.