Stop Overpaying for LLMs: Run a Free Audit on Your Real Traffic

Most teams don’t optimize their LLM stack.

They pick a model, get something working, and move on.

That works. Until it gets expensive.

The Problem: You’re Probably Overpaying

Across teams we talk to, the pattern is consistent:

• Frontier models used for every request
  
• One provider handling all traffic
  
• No visibility into cost vs quality

It’s not intentional. It’s just how most systems evolve.

But the result is predictable:

Most teams waste 40%+ of their AI budget.

Not because they chose the wrong model.

Because they never tested alternatives on real usage.

Why Benchmarks Don’t Help

Benchmarks don’t reflect how your system actually runs.

They don’t include:

• your prompts
  
• your workflows
  
• your users
  
• your traffic patterns

A model that performs best on a benchmark might be:

• slower for your use case
  
• more expensive per request
  
• unnecessarily verbose

What matters is performance on your actual requests.

What a Real Audit Looks Like

Instead of guessing, you can measure.

With FastRouter, the audit runs on your real API traffic.

Step 1 — Setup

Replace your API base URL.
Requests flow unchanged.

Step 2 — Collecting

Traffic flows through your endpoint.
We build a sample of your real usage.

Step 3 — Audit Window

The system runs the audit over a fixed 7-day window.

Step 4 — Results

You get a full breakdown of your AI stack:

• cost
  
• quality
  
• latency
  
• reliability

No synthetic tests. No assumptions.

What You Actually Learn

The audit shows exactly where optimization is possible.

Cost Savings

See where you're overpaying and how much each switch saves.

Quality Comparison

Side-by-side outputs on your real prompts.
Cheaper models often perform just as well.

Reliability Gaps

Every provider failure is logged.
See where multi-provider routing would help.

Latency Wins

Identify slow paths and faster alternatives.

What Teams Typically Find

Across audits:

• 46% average cost reduction
  
• $1,240 average monthly savings identified

Same prompts.
Same outcomes.
Lower cost.

The biggest wins usually come from:

• removing overkill models from simple tasks
  
• reducing output token verbosity
  
• switching providers for specific workloads

The Core Insight

The most expensive model is not always the best.

And the cheapest model is not always the right one.

The real goal is:

Right model for each task.

That’s not something you can decide upfront.

It has to be measured.

From Guessing to Control

Without visibility, teams rely on:

• assumptions
  
• outdated benchmarks
  
• “default” model choices

With an audit, decisions become clear:

• which requests can run cheaper
  
• which models maintain quality
  
• where routing improves uptime

You move from guesswork to control.

Run Your Audit

You don’t need to change your system.

Setup takes ~5 minutes.

The audit runs on your real traffic over a 7-day window.

No credit card required.

👉 Run your free audit

Or, if you want help reviewing your setup:

👉 Book a call with our team

If you're running LLMs in production, this is the fastest way to understand what you're actually paying for — and what you don’t need to.