Cost Reduction
Reduce your OpenAI costs
without changing your code.
68% of AI API calls go to flagship models for tasks that cheaper models handle just as well. PromptUnit fixes the default automatically.
The most common pattern in production AI infrastructure is a single default model, usually GPT-4o, that receives every request regardless of complexity. It is the safe choice when you are moving fast. It becomes an expensive choice once your volume grows.
Most AI workloads are not equally complex. A summarization request, a classification call, and a structured extraction task do not require the same model capability as a multi-step reasoning chain or a complex code generation task. When you send all of them to GPT-4o, you are paying $7 per million input tokens for tasks that GPT-4o-mini handles at $0.15, a 46x price difference with no measurable quality loss on the simpler task types.
PromptUnit sits between your application and your AI providers as a transparent proxy. It inspects each request, classifies the task type across 10 signal dimensions, and routes it to the cheapest model that meets your quality threshold. Your code sends requests to GPT-4o as normal. PromptUnit intercepts those calls and routes the simple ones to cheaper models automatically. Your application receives standard OpenAI-format responses, it never knows a routing decision was made.
The 14-day observation period runs before any routing changes go live. During that period, PromptUnit shadows your traffic, classifies every request, and builds a projected savings report. You see the exact breakdown, which task types, which features, how much, before enabling anything. Routing activates only when you click.
40–70%
average cost reduction
14 days
to see your full savings forecast
1 line
of code to integrate
What gets routed to what
| Task | You send | We route to | Cost saved |
|---|---|---|---|
| Summarization | GPT-4o | GPT-4o-mini | 94% |
| Classification | GPT-4o | GPT-4o-mini | 94% |
| Structured extraction | GPT-4o | GPT-4o-mini | 94% |
| Customer support | GPT-4o | Claude Haiku 4.5 | 88% |
| Complex reasoning | GPT-4o | GPT-4o | 0%, stays on flagship |
How it works
Connect in one line
Swap your base URL to point to PromptUnit. Your existing OpenAI code stays unchanged. The integration takes under five minutes and requires no SDK changes.
14-day observation period
We log every call, classify the task type, and project your exact savings. No routing changes happen during this period, it is purely observational.
Review your forecast
Your dashboard shows the full breakdown: projected savings by task type, by feature, and by model. You see exactly what would happen before committing to anything.
Enable routing with one click
Flip the switch when you are ready. Every call gets routed automatically from that point. You pay 20% of verified savings only, nothing if routing saves nothing.
Who this is for
OpenAI cost reduction is most impactful for engineering teams that have grown their AI feature set to the point where the monthly API invoice is a budget line item. The threshold where routing typically justifies itself is around $2,000 per month in AI API spend, below that, the absolute savings are small enough that the observation period may not produce a compelling forecast.
Teams at $5,000 to $50,000 per month in AI API costs typically see the most dramatic results. At that scale, the mix of simple and complex tasks is large enough that task-type routing produces savings in the thousands of dollars per month, with no engineering work beyond the initial integration.
See your savings in 5 minutes
Free to start. No routing until you click. Pay only from savings.
Start Free Audit