Every request runs through your model and a cheaper one that was adjusted using our patent-pending technology. We show you side by side the responses from both. With one click, get better results for less spend.
Draft a reply to this billing ticket. Confirm the fix and the refund timeline.
Hi Maya, thanks for flagging this. You're right, your March invoice was charged twice. I've reversed the duplicate charge, and the refund will reach your card within 3 to 5 business days.
Hi Maya, you're right, the March invoice went through twice and I'm sorry for the hassle. The duplicate charge is reversed (ref 8241). Your refund lands in 3 to 5 business days.
Blind judge is comparing, names hidden, order swapped…
We prove it on your prompts, free. Unlimited prompts, no credit card. You pay only after you switch.
Works with the OpenAI and Anthropic SDKs you already use
Routes across OpenAI, Anthropic, Google, xAI, Groq and Together AI models. One key to connect, none to manage.
Connecting Parity is the base URL and one key. Do it by hand in about five minutes, or paste one line into Claude Code, Cursor, Codex or whichever coding agent your team already uses, and it makes the change for you.
Paste this into Claude Code, Cursor, Codex or whichever coding agent works in your repository. It reads the instructions, makes the change, and tells you which files it touched.
Read https://paritylayer.com/SKILL.md and integrate Parity Layer into this
application. You are the installer, not the workload: change only this app's
LLM client configuration, and do not reconfigure yourself to use Parity.Or fetch it directly: curl -fsS https://paritylayer.com/SKILL.md
Parity is not for coding agents themselves. Here the agent is only the installer, wiring Parity into your application, and what we route is your application's own traffic.
Routers guess from benchmarks and price lists. We prove, per prompt, on your prompts, before a single request moves.
STAGE 01 / 04
Every request goes straight to your provider, at full price.
You pay whatever your provider charges, on every call, and you have no idea what a cheaper model could do on your traffic, because nothing ever tests one. This is where every AI-native team starts, and where most stay.
STAGE 02 / 04
Point your SDK at Parity. Nothing else changes.
We forward every request to your current provider, same model, same output, and routing is free. You connect your current provider once and we handle every provider we route to after that. Your users see nothing, your prompts stay untouched.
STAGE 03 / 04
Cheaper models are tested against your real traffic, invisibly.
In parallel, our patent-pending process gets a cheaper model producing results as good as yours, or better, judged blind against your own model's consistency. Your live traffic never changes, and the proving is free, unlimited prompts.
STAGE 04 / 04
When a cheaper model beats your own model's bar, you flip the switch.
Your own model sets the bar: we measure how consistent it is with itself, and a cheaper model has to match or beat that on your real requests, prompt by prompt. Once proven, you activate in one click at one simple lower price, saving 30 to 60% on every request, and if quality ever drops we fall back to your baseline instantly.
STAGE 01 / 04
Every request goes straight to your provider, at full price.
You pay whatever your provider charges, on every call, and you have no idea what a cheaper model could do on your traffic, because nothing ever tests one. This is where every AI-native team starts, and where most stay.
STAGE 02 / 04
Point your SDK at Parity. Nothing else changes.
We forward every request to your current provider, same model, same output, and routing is free. You connect your current provider once and we handle every provider we route to after that. Your users see nothing, your prompts stay untouched.
STAGE 03 / 04
Cheaper models are tested against your real traffic, invisibly.
In parallel, our patent-pending process gets a cheaper model producing results as good as yours, or better, judged blind against your own model's consistency. Your live traffic never changes, and the proving is free, unlimited prompts.
STAGE 04 / 04
When a cheaper model beats your own model's bar, you flip the switch.
Your own model sets the bar: we measure how consistent it is with itself, and a cheaper model has to match or beat that on your real requests, prompt by prompt. Once proven, you activate in one click at one simple lower price, saving 30 to 60% on every request, and if quality ever drops we fall back to your baseline instantly.
No live traffic to share yet?
Upload a sample of your past requests, a JSONL export, and we'll prove a cheaper model matches your results before you change a single line of code.
Every prompt gets a verdict: the cheaper model's answer next to your model's, judged same, better, or fail. Only prompts that pass ever switch.
Every response is validated against your exact format before delivery, and anything off falls back to your baseline. Click any request in the dashboard and check the judgement yourself.
Per prompt
Verdicts before any switch
Instant
Fallback to your baseline
Every request
Inspectable in the dashboard
Drag the slider to your monthly AI spend. Proven prompts are billed at the cheaper model's rate, typically 30 to 60% below what you pay now.
What do you use AI for?
Currently paying
$25,000/mo
With Parity Layer · 60% off
$10,000/mo
Save $15,000/mo · $180,000/year
Category averages are typical customer outcomes. Your actual savings depend on your prompts.
If you run the same prompts thousands of times a day behind a product, a support tool, or a pipeline, that is the bill we cut.
Running Claude or GPT behind product features? Parity Layer finds proven alternatives at 30-60% less cost. Your users never notice. Your margins improve overnight.
Support assistants, pipelines, summarizers. High-volume, repeatable workloads deliver the biggest savings. Better results for 30-60% less.
$5K/month on AI APIs and growing fast? Proven prompts bring that to roughly $2-3.5K. Same quality or better, and the savings compound as you scale.
Hundreds of prompts across dozens of teams. One gateway with full visibility into spend, performance, and savings. Custom SLAs available.
For each prompt we pick the cheapest specialist from a bank of hundreds and prove it before it serves a single request. Every comparison is stored so you can check our work whenever you like.
Your baseline model is always the fallback. Parity Layer only switches after the cheaper model proves it matches or beats your baseline on your own prompts. Never worse.
Automatically tests candidates to find the cheapest one that matches your specific prompts. You don’t pick models. It does.
Learns your exact response format and validates every response before delivery. Any deviation triggers instant fallback.
Works with any OpenAI or Anthropic SDK. Python, TypeScript, Go, Ruby, or raw REST. Change the base URL, deploy, done.
See every comparison side-by-side. Track savings by prompt, model, and day. Click any request to verify quality yourself.
Switched prompts stay under audit. If quality ever drifts from your baseline, requests revert to your original model automatically.
Pricing
Per request, per token. You only pay the new (lower) cost per token for the models we've already proven can handle your prompts.
Try Parity free on unlimited prompts. We optimize cheaper models against each one and prove the result on your own traffic. You pay nothing to see it, no credit card required.
Once a prompt is proven, you activate it and we route it to the cheaper model. You pay per-token at one simple integrated price, 30-60% less than your baseline cost.
Need custom SLAs, on-prem deployment, or SSO? Contact us for enterprise
Routers pick models from benchmarks and price lists, so you are trusting someone else's tests. We prove parity per prompt, on your prompts, with your own model as the judge, before a single request is rerouted.
We first measure how consistent your own model is with itself, then a cheaper model has to match or beat that bar on your real requests, prompt by prompt. You see every verdict before you activate anything.
Then Parity Layer does not switch. Your original model continues to serve every request. Switches only happen after rigorous verification. If quality ever drifts after a switch, Parity Layer automatically reverts to your original model.
About 5 minutes. Change your base URL and API key, two lines of code. Parity Layer is compatible with any OpenAI or Anthropic SDK. No new libraries, no prompt changes, no breaking changes.
Yes, and it is the fastest way. Sign up free, copy the one-line prompt from your dashboard, and paste it into Claude Code, Cursor, Codex or whichever coding agent works in your repository. It points your app's LLM clients at Parity, keeps every model name, prompt and parameter exactly as it is, and tells you which files it changed. Your API key is never pasted into the chat: the agent collects it from a one-time link that expires in 15 minutes and works once. The agent is the installer here, not the workload. Two steps stay with you: the one-time connection in Settings, and that one click. The full guide is at paritylayer.com/docs/agent-setup, also served as plain markdown at /docs/agent-setup.md.
Parity Layer routes across all major LLM providers: Anthropic, OpenAI, Google, xAI (Grok), Groq, and Together AI. You connect your current provider once, and that is the only key you ever handle. We manage every provider we route to after that, so there are no other keys to collect or maintain, and Parity Layer automatically finds a more cost-effective equivalent for each of your prompts.
Your traffic stays yours. We store the prompts and both models' responses to power your side-by-side audit trail, so you can go back and verify any verdict. Enterprise customers can deploy Parity Layer in their own VPC for full data isolation.