OrcaRouter

OrcaRouter

3.2

OrcaRouter is an OpenAI-compatible AI gateway that adaptively routes prompts across 200+ models with failover, guardrails and zero token markup for developers and teams.

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AI APIai-workflowSAAS
Last Updated Oct 21, 2026
OrcaRouter screenshot

About

OrcaRouter is an AI gateway that puts more than 200 language models behind a single OpenAI-compatible API endpoint. Teams point their existing SDK at OrcaRouter, and the service grades each incoming prompt, routes it to a model that meets the configured quality bar, and handles failover, logging and cost tracking along the way. The product targets the common production problem of juggling multiple provider accounts: instead of hard-coding one vendor, developers get one key, one base URL and a routing layer that can send easy prompts to cheaper models and escalate hard ones to frontier models.

The gateway aggregates OpenAI, Anthropic, Google, AWS, Azure, Mistral, Meta and other providers. Its stated economics are a zero-markup model: users pay providers directly at published token rates, and OrcaRouter earns revenue from optional team features rather than token fees. Privacy is positioned as architectural: prompts are not logged unless logging is explicitly enabled, and personally identifiable information can be cloaked before it reaches a model. The company also publishes OrcaRouter Lite, an MIT-licensed self-hosted version of the gateway.

Key Features

Adaptive routing: Every prompt is graded and then routed to a model that clears the user's configured quality threshold, with the option to escalate difficult prompts to frontier models.
Automatic failover: Users can configure a fallback chain of models so that retries complete before a response begins, absorbing upstream errors and rate limits.
Guardrails and Agent Firewall: PII, secrets, jailbreaks and prompt-injection attempts are blocked before the model sees them, and every tool or MCP call from an agent is graded before it runs.
Zero-markup pricing: Users pay providers directly at their published rates; OrcaRouter states it adds nothing on top of token costs, with itemized receipts per call.
Observability: Request logs record grade, model, latency and cost for each call (copyable as cURL), and an insights view combines routing, latency, spend and model quality data.
Routing rules as code: Routing logic can be expressed in a YAML plus CEL domain-specific language that takes effect immediately without redeployment.
Bring your own key: Users can plug in their own provider keys, rate limits and credits, or self-host the MIT-licensed OrcaRouter Lite gateway on their own infrastructure.

Pricing & Fees

  • Pricing: OrcaRouter charges nothing on top of provider token prices; its revenue comes from optional team features. Token payment options include pay-as-you-go, a credit subscription, and bring-your-own-key. Specific plan prices are not fully listed on the pages we reviewed; check the official site for current plans.
  • Getting started: The site states developers can be live in about 60 seconds by changing the base URL in an OpenAI SDK, with no credit card required to get an API key.
  • Privacy defaults: Prompts are not stored by default; logging stays off until the user turns it on, and a zero-retention agreement is available.
  • Data protection: Names, emails and card numbers can be cloaked before reaching the model, data residency can be declared for US, EU, UK, Asia-Pacific or China, and retained logs use quantum-safe hybrid ML-KEM encryption.
  • Reported performance: The company cites 40%+ inference cost savings with cache-aware adaptive routing, 99% routing accuracy with frontier escalation, and routing latency under 10 ms.

Who It's For

OrcaRouter is built for engineering teams that run AI features in production and want one endpoint across many model providers. AI product teams can ship against every model without vendor lock-in; platform teams get automatic failover when upstream providers throttle; security and compliance teams get policy enforcement, scoped API keys, RBAC, budgets and exportable evidence for 32 compliance frameworks; and FinOps staff get per-call cost attribution with zero markup. Agent builders benefit from the Agent Firewall and per-agent budgets, while enterprises get SSO, data residency and SLA options.

FAQ

What is OrcaRouter?OrcaRouter is an AI gateway that exposes 200+ language models from providers such as OpenAI, Anthropic, Google and Meta through a single OpenAI-compatible API, with adaptive routing, failover, guardrails and cost observability.

How much does OrcaRouter cost?OrcaRouter adds no markup to token costs; users pay providers directly at published rates, and the vendor earns revenue from optional team features. Tokens can be paid for via pay-as-you-go, a credit subscription, or bring-your-own-key.

Is there a free way to try OrcaRouter?Yes, the site says developers can get an API key and be live in about 60 seconds with no credit card required.

Which tools and frameworks does OrcaRouter integrate with?OrcaRouter works with OpenAI-compatible SDKs and lists integrations including Cursor, LangChain, n8n, the Vercel AI SDK and an MCP server, plus a browser playground for comparing models side by side.

Does OrcaRouter store my prompts?No; prompts are not logged unless the user explicitly turns logging on, a zero-retention agreement can lock that off, and PII can be cloaked before it reaches any model.