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Compute and modelsManaged Token Supply
The same model sells for anywhere from 50 to 80 percent of list price depending on where you buy it. That spread is permanent, not a glitch. Model makers sell only their own models, token factories cover only open-source models, and large platforms are not neutral, so nobody manages the whole supply chain from the buyer's side. We do. Others compete on discounts; we build the supply chain.
Why it's different
The specifics behind the claim.
Of list price, depending on source
That is how widely the same model's price varies across the market. Our pools lock in the low end of the range and keep it stable.
User satisfaction with routing
Measured in production. Each request is judged for complexity: simple ones go to cost-efficient models, hard ones to strong models.
For uptime and low price
SLA and low price come from the same place: many pools. Stability and smart routing come from the same place: deep operations.
What is included
Scope is set per site. These are the building blocks we combine.
Supply scheduling
Multiple supply pools with health circuit-breakers and active probing, so one provider's outage or price spike never reaches your application.
Request scheduling
Every request is scored for complexity in real time and sent to the cheapest model that can handle it, behind one interface.
Task scheduling
Requests that belong to the same task are recognized by context similarity and locked to one model, instead of jumping between models mid-task.
What we measure
Every engagement starts with a baseline and reports against the same numbers.
| Metric | Unit | Why it matters |
|---|---|---|
| Effective uptime | % | Held up by multi-pool redundancy and failover, not one provider's SLA. |
| Tail latency | p95 ms | What users actually feel. |
| Serving cost | $ per 1M tokens | The number finance asks for. |
| Quality delta | eval score | Change on your own test set, reported with every routing change. |
How an engagement runs
Four stages. Each ends with something you can review before the next begins.
Baseline
Capture current spend, latency and quality by model.
Connect
Point your calls at one endpoint.
Route
Turn on request and task scheduling.
Report
Monthly spend, uptime and quality against the baseline.