See how routing simple vs complex requests changes your bill.
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Plugsky is OpenAI-compatible with flat-rate plans — see pricing or start on the free plan (2 free models, no card).
The AI Workload Router Simulator models how requests would be routed across several models instead of sending everything to one frontier model. You describe each request type and its quality or latency needs, and the simulator shows which model class fits and where cost drops. It is useful for teams building routing layers or multi-model gateways. Plugsky exposes 30+ models behind one OpenAI-compatible endpoint, which makes a router practical to implement.
Workload routing sends each request to the cheapest model that can meet its quality and latency bar, falling back to a stronger model when confidence is low. Simple classification and extraction often run on small models, while hard reasoning goes to frontier models.
No. A single provider with a broad model catalogue is easier to operate. Plugsky serves 30+ models, from micro to frontier, behind one OpenAI-compatible API, so routing is a model-name change rather than a new integration.
Task success rate, latency at peak concurrency, and cost per successful request. Measure them on your own prompts, set thresholds for escalation, and log the route chosen for each request so you can audit and tune the policy.
Canonical pricing and plans: plugsky.com/#sec-pricing · Terms · SLA · Docs