Compatible with every major AI provider
Bring your own key — Parity Layer handles the rest
Two lines of code. Five minutes to deploy. Savings start on the first request. Parity Layer is a drop-in replacement for any OpenAI or Anthropic SDK.
1 import anthropic
2
3 client = anthropic.Anthropic(
4 api_key="sk-pl-...",
5 base_url="https://api.paritylayer.com"
6 )
7
8 # Everything else stays exactly the same.
9 # Your prompts. Your tools. Your code.Four stages. Your baseline is protected the whole way. Scroll to see each step.
STAGE 01 / 04
Every request goes straight to your AI provider.
You pay full price on every call. No alternatives tested. No data on what else might work. This is where every AI-native team starts — and where most stay.
STAGE 02 / 04
Two lines. Parity now sits in the middle.
We forward every request to your baseline provider — same model, same output. Nothing changes for your users. No prompts rewritten, no schemas touched.
STAGE 03 / 04
A cheaper model generates equal or better output — behind the scenes.
In parallel, Parity uses our patent-pending process to get a cheaper model to generate equal or better outputs than your original model. Nothing about your live traffic changes. This runs behind the scenes. Zero risk.
STAGE 04 / 04
You set the thresholds. When they're hit, we flip the route.
You define the proof and confidence thresholds for each prompt. Once achieved — for example 95% confidence and 100+ matches — we automatically switch to the specialist model, maintaining quality while reducing cost by 30–60%. If quality drops, we immediately fall back to your baseline.
STAGE 01 / 04
Every request goes straight to your AI provider.
You pay full price on every call. No alternatives tested. No data on what else might work. This is where every AI-native team starts — and where most stay.
STAGE 02 / 04
Two lines. Parity now sits in the middle.
We forward every request to your baseline provider — same model, same output. Nothing changes for your users. No prompts rewritten, no schemas touched.
STAGE 03 / 04
A cheaper model generates equal or better output — behind the scenes.
In parallel, Parity uses our patent-pending process to get a cheaper model to generate equal or better outputs than your original model. Nothing about your live traffic changes. This runs behind the scenes. Zero risk.
STAGE 04 / 04
You set the thresholds. When they're hit, we flip the route.
You define the proof and confidence thresholds for each prompt. Once achieved — for example 95% confidence and 100+ matches — we automatically switch to the specialist model, maintaining quality while reducing cost by 30–60%. If quality drops, we immediately fall back to your baseline.
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.
Average 30–60% cost reduction on proven prompt types. Verified before any switch happens.
Every response validated against your exact schema before delivery. Instant fallback if anything differs.
0%
Quality degradation
<50ms
Routing overhead
100%
Fallback guarantee
Drag the slider to your current monthly AI spend. Most teams save 30 to 60% on proven prompt types.
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.
From side projects to enterprise scale.
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.
Copilots, pipelines, summarizers. High-volume, repeatable workloads deliver the biggest savings. Same results — often better — for 30–60% less.
$5K/month on AI APIs and growing fast? Turn that into $2–3.5K. Same quality or better, up to 2x the runway. 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.
Built from the ground up to outperform
Your baseline model is always the fallback. Parity Layer only switches when it has mathematical proof the cheaper model is at least as good — often better. Never worse.
Automatically tests hundreds of models 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.
Gets smarter with every request. Continuously learns which models work best for each prompt pattern. Performance improves 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.
Your first 24 hours are a free discovery window. We prove unlimited prompts against cheaper models in the background — up to 100 comparisons per prompt — while you pay zero. No credit card required to start.
Once a prompt is proven, we route it to the cheaper model. You pay per-token at the new rate — 30–60% less than your baseline cost.
Need custom SLAs, on-prem deployment, or SSO? Contact us for enterprise
Parity Layer tests cheaper models against your baseline in the background. It only switches when it has verified that the cheaper model matches your expensive one for your specific prompts across dozens of real requests. Your baseline model is always the fallback.
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.
Parity Layer works as a gateway for all major LLM providers. Bring your own key from Anthropic, OpenAI, Google, xAI (Grok), Groq, or Together AI — Parity Layer automatically finds a more cost-effective equivalent for each of your prompts.
Your prompts are processed in real-time and used only for model comparison. We do not store prompt content after comparison is complete. Enterprise customers can deploy Parity Layer in their own VPC for full data isolation.
Requests continue to flow through your original provider at standard rates. You never experience downtime or service interruption. Upgrade your plan anytime to resume optimized routing.