OrcaRouter Core Features
OrcaRouter is an AI gateway that routes prompts to 200+ models with zero markup. Features adaptive routing, guardrails, agent firewall, and observability.
Core Features of OrcaRouter
Adaptive Smart Routing
OrcaRouter grades every prompt by embedding and routing it through a model that learns online from real traffic, sending each request to the best-fit model automatically.
Routing Accuracy Leader
The router leads the public RouterArena leaderboard at 75.5% accuracy as of June 2026, ahead of GPT-5, Azure, Martian, and NotDiamond.
Zero Token Markup
All 200+ models are billed at the upstream provider's published rate with no token markup added, making routing free on every tier.
200+ Models via One Endpoint
A single OpenAI-compatible endpoint provides access to 200+ models from providers including Anthropic, Google, Alibaba Cloud, and Moonshot.
Automatic Failover
When a provider rate-limits or returns a 5xx error, OrcaRouter retries against a healthy model across 200+ options in under 50 milliseconds before the response starts.
Configurable Routing Objectives
Workspaces can be configured with routing modes including Cheapest, Balanced, Quality, and Adaptive, each optimizing for a different priority.
Guardrails
Prompt injection detection, sensitive data blocking, and topic enforcement policies run on every request to prevent misuse and data leakage.
Agent Firewall
API key governance and model access controls restrict which models and capabilities each agent or service can reach through the gateway.
Observability
A built-in dashboard tracks request volume, latency, cost, model usage, and failure rates across all routed traffic.
Routing as Code
Routing logic can be expressed as version-controlled YAML with CEL expressions, deployed in seconds without any client-side changes or redeploys.
Load Balancing
Traffic is distributed across providers and models to optimize for cost, latency, and availability while preventing any single upstream from being overloaded.
Use Cases of OrcaRouter
- [Startups]: Access 200+ LLMs through one endpoint without managing multiple API keys or provider integrations.
- [Engineering teams]: Route prompts to the optimal model automatically, balancing quality and cost with zero manual tuning.
- [Enterprise security teams]: Enforce guardrails and agent firewall policies across all AI usage from a centralized governance layer.
- [Operations teams]: Maintain service continuity with automatic sub-50ms failover when any upstream provider rate-limits or goes down.
- [Finance teams]: Reduce AI spending by up to 40% through intelligent routing that picks the cheapest model meeting quality requirements.
