Cut your LLM bill by up to 80%. Keep the quality.
Specton replaces expensive frontier calls with small, fine-tuned models that hold quality at a fifth of the cost, then gives finance and engineering one dashboard to prove every dollar saved.
after Specton routing · -80% inference spend
Guaranteed: if your bill does not drop in 60 days, you do not pay.
How it works
From frontier spend to fine-tuned savings in three steps.
Specton sits in front of your existing stack, learns your workload, and moves the cheap-to-serve calls onto a model built for them.
STEP 01
Connect your traffic
Add the Specton proxy or SDK. We map every LLM call to a workflow and start measuring spend, latency, and quality inside your environment.
STEP 02
Fine-tune a small model
Specton distills the task into a compact model and validates it against your eval set until it clears your quality bar.
STEP 03
Route and save
Easy calls move to the small model, hard calls stay on frontier, and the dashboard shows the bill dropping in real numbers.
Cost dashboard
A line-item view of where your tokens go.
Break spend down by workflow and model, spot runaway costs, and see exactly what Specton is saving you.
Spend breakdown
Spend this month
$48,210
tracked across 11 workflows
Saved by Specton
$32,640
down 68% vs. baseline
Quality held
99.2%
above your 98% floor
Auto-savings finder
It spots the savings before you do.
Specton constantly replays your traffic against cheaper models and surfaces only the swaps that hold your quality line. You approve; it rolls out.
Backed by your own evals
Every suggestion is validated on your dataset, not a public leaderboard.
You set the quality floor
Specton only recommends swaps that stay above the bar you choose.
One-click rollout and rollback
Canary a swap, watch it live, and revert quickly if anything drifts.
GPT-4 class
$8.40 / 1k calls
Specton-S 3B
$1.62 / 1k calls
Result
-81% cost · -61% latency
99.1%
eval score retained
egress to Specton: none
Self-host
Run it entirely inside your walls.
Specton deploys in your VPC or on-prem. Prompts, weights, and logs stay on your hardware, and the app is ready for air-gapped environments.
Lower your token bill, or your money back.
If Specton does not reduce your inference spend within 60 days, measured against your own baseline, you pay nothing.
Get started
See your savings before you commit.
Share your workload and we will run a free cost X-ray on a sample of your traffic before you sign anything.