Cut your LLM costs in half.
Keep the quality.
InferCut is a drop-in, OpenAI-compatible endpoint. Change one line of code and pay up to 50% less on every API call — with the same output quality you get today.
- No credit card required
- 2-minute setup
- No lock-in
from openai import OpenAI client = OpenAI(- base_url="https://api.openai.com/v1",+ base_url="https://api.infercut.com/v1", api_key="INFER_...") # Everything else stays exactly the sameresponse = client.chat.completions.create( model="gpt-5.5", messages=messages,)01 — How it works
Up and running in three steps
Most teams go from signup to savings in under two minutes. There is nothing to install and nothing to maintain.
Change one line
Point your API base URL at InferCut. No new SDKs, no migration project, no downtime — your existing code keeps working.
Your calls flow through
Prompts, parameters, and response formats work exactly as before. The optimization layer does its work invisibly on every request.
Pay up to 50% less
Same output quality, continuously verified. The savings show up immediately — on your very first invoice.
02 — The math
Half the bill. Nothing else changes.
Your current monthly bill
$10,000
Paid straight to your LLM provider, at list price.
With InferCut
$5,000
Same performance, same intelligence, same workflow.
Back in your budget
+$5,000
Every single month, from day one.
Illustrative example at InferCut's 50% average savings rate.
What would your team save?
Drag the slider to your current monthly LLM spend.
$2,500
$30,000
Based on InferCut's flat 50% reduction on your current spend. No tiers, no thresholds — the rate is the rate.
03 — Pricing
The same call, at half the price
Your code keeps making the same calls. Performance and intelligence stay the same — the only thing that changes is the number on the invoice.
| Model | List price | With InferCut | You save |
|---|---|---|---|
| gpt-5.5 | $5.00 in · $30.00 out | $2.50 in · $15.00 out | −50% |
| claude-sonnet-4-6 | $3.00 in · $15.00 out | $1.50 in · $7.50 out | −50% |
| claude-haiku-4-5 | $1.00 in · $5.00 out | $0.50 in · $2.50 out | −50% |
| gemini-3.1-pro | $2.00 in · $12.00 out | $1.00 in · $6.00 out | −50% |
Prices per 1M tokens (input · output). Provider list prices as of June 2026, standard tier. Same request format, same response format, same output quality.
Same quality.
Guaranteed.
Every response is held to the performance and intelligence bar you expect. The risk of trying InferCut is exactly zero — if we can't save you money on a call, you don't pay us for it.
Start saving- Output quality verified continuously, on real traffic
- If a call can't be optimized, it passes through untouched — free of InferCut charges
- You never pay more than you would at list price
04 — What teams say
Nobody believes it until the invoice arrives
We pointed staging traffic at InferCut on a Friday and shipped to production the next week. The bill dropped by almost half — and nobody on the team could tell the difference in output.
I had budgeted a full sprint for inference cost optimization. It turned out to be a one-line pull request. Our runway math genuinely changed that week.
We run LLM workloads for a dozen clients. Same prompts, same quality bar, and the margin on every single project got noticeably better.
05 — Who it's for
Built for teams that watch their margins
AI startups
Shipping fast on a tight budget. Cut inference costs from day one and put the difference straight into runway.
SaaS with LLM features
AI-powered features shouldn't eat your margins. Same quality for your users, half the API bill for you.
Inference-heavy agencies
Running LLM workloads across many clients? Savings compound across every single project you operate.
Enterprise AI teams
Serious volume, serious savings. The bigger the spend, the bigger the line item you hand back to finance.
06 — Security & privacy
Your data stays yours
InferCut sits in your request path, so we hold ourselves to infrastructure-grade standards.
Zero retention
Prompts and completions are never stored or logged. They pass through and they're gone.
Never used for training
Your data is never used to train models — not ours, not anyone else's. Ever.
Encrypted in transit
Every request is protected end-to-end with modern TLS. Nothing travels in the clear.
Keys you control
Scoped API keys you can rotate or revoke instantly from your dashboard.
07 — FAQ
Frequently asked questions
You buy InferCut credits up front. For every $1 of credits you use, you take roughly $2 off your provider bill — so you always end up paying less than you do today. No subscriptions, no tiers, no hidden fees.
No. You get the same output quality you get today, verified continuously. If a call can't be optimized without compromise, it passes through normally and you aren't charged for it. You never pay more.
One line. You change your API base URL to point at InferCut. Everything else stays the same — your prompts, your parameters, your response handling, your code.
Yes. We do not store, log, or train on your data. Prompts and completions pass through encrypted and are never retained.
No. You can start with as little as $5 in credits and scale as you go. InferCut works the same for a solo developer and a large engineering team.
Sign up, grab your API key, and change one line of code. The whole process takes under two minutes — most teams see savings on their very first day.
Stop overpaying
for inference.
One line of code. Up to 50% off every LLM call. The same quality your users expect.
- $5 free credits
- No credit card required
- 2-minute setup