Map premium usage
Baseline the models, prompts, agents, latency requirements, and monthly cost pressure.
OpenAI and frontier API cost reduction
Reduce OpenAI API cost without rewriting your product.
Benchmark which calls can leave premium routes and which calls need frontier fallback.
ProfitMaxx compares your production workload across premium APIs, lower-cost model paths, checks, and fallback rules to target 99% AI quality at 10% inference cost.
- Quality
- 99%
- Cost
- 10%
- Spend fit
- $10k/mo
Vendor cost without vendor lock-in panic
Do not rip out OpenAI. Stop using premium routes for routine work.
The point is not to replace every frontier call. The point is to identify the calls where OpenAI, Anthropic, Gemini, open models, or routed mixes produce the same customer-visible result at a radically different cost.
How the API-cost benchmark works
Find the calls where premium API spend is optional.
Compare route quality
Test lower-cost paths against your examples, quality bar, and failure cases.
Keep smart fallback
Define where premium APIs stay in the loop and where routine traffic can move.
reduce OpenAI API cost
lower OpenAI API cost
OpenAI cost optimization
Anthropic API cost
Best fit
For teams spending enough that routing changes margin.
If your AI feature is working but the API bill is climbing faster than revenue, this is the page for you.
- $10k+ monthly AI spend or an urgent path toward that level.
- Production OpenAI, Anthropic, Gemini, open-model, or mixed usage.
- Repeatable workflows where examples can be benchmarked.
- Clear cost pressure from support, agents, copilots, or operations.
Free qualified review
Show us where premium API spend is leaking margin.
Share the model stack, spend range, request volume, and workload. We will qualify whether a 99/10 benchmark is worth doing.
Best fit: $10k+/mo AI spend, measurable quality bar, and repeatable traffic.