LLM Cost Optimisation

You’re spending too much
on LLM API calls.

Most teams route every request through their most expensive model because it’s the easiest option. That’s like taking a helicopter to the corner shop. We’ve cut LLM costs by 70% without losing quality.

$2,400
per day in API spend
(real client, before)
70%
cost reduction
(same quality)
0
visibility into spend
(most teams today)

The right model for the right task, every time. With caching, routing, and monitoring built in.
We make your LLM spend predictable and efficient.


What we do

Intelligent model routing, not brute-force spending

🔀

Model Routing & Fallbacks

Not every request needs GPT-4. We build routing layers that match tasks to the cheapest model that can handle them, with automatic fallback chains when quality thresholds aren’t met.

💾

Semantic Caching

If you’ve asked a similar question before, why pay for the answer again? Semantic caching catches near-duplicate requests and serves cached responses, cutting redundant API calls dramatically.

📉

Cost Monitoring & Alerts

Real-time dashboards showing spend per model, per feature, per team. Budget alerts before you blow through limits. No more invoice surprises at the end of the month.


Sound familiar?

The three stages of LLM cost denial

“We’re using GPT-4 for everything because it was easiest to set up.”

The default path is always the expensive one. Most tasks, from classification to extraction to simple Q&A, work perfectly well with smaller, cheaper models.

“We have no idea which features are driving our API costs.”

Without per-request attribution, cost optimisation is guesswork. You need to know that your chat feature costs 10x more than your summariser before you can fix it.

“Our prompts are 4,000 tokens long and growing.”

Prompt bloat is real. Every “just add this context” inflates your token count and your bill. Prompt compression and engineering can halve your input tokens without losing quality.


Results to expect

70%
Cost reduction
typical range
40%
Cache hit rate
after tuning
<2wk
Time to first
savings
100%
Spend visibility
per feature


Stack we work with

🔄

LiteLLM
proxy & routing

🌐

OpenRouter
multi-provider

💾

Semantic
caching layers

✂️

Prompt
compression

📊

Cost analytics
& alerting

Stop burning money on API calls

We’ll audit your current LLM spend and show you exactly where the savings are. No commitment, just numbers.

Book a call