FastRouter is a routing and operations platform for enterprise AI teams. Its core goal is to enable teams to route, compare, and operate over 200 models through a single OpenAI-compatible API, so that every request achieves the best balance among quality, cost, and reliability.
Purpose
FastRouter primarily serves enterprise teams that need unified access to and management across multiple AI models. It helps engineering teams, technical leads, and similar roles unify model access without locking into a single vendor, control costs, and maintain high application availability.
Main Capabilities
Unified Model Access
Access mainstream models such as Claude Fable 5, Gemini 3.1 Pro, GPT-5.5, Grok 4.3, Veo 3.1, Nano Banana, and Claude 4.8 Opus through a single OpenAI-compatible API. It supports multiple modalities including text, images, video, embeddings, and speech. Adding or switching models requires no code changes.
Intelligent Cost Optimization
Reduce AI spending through intelligent routing, batching, and model control: intelligently route requests to lower-cost models, avoid unnecessary use of high-priced models, and batch high-throughput workloads.
Cost Control and Governance
Provide project and API key limits, member roles, and access control to help teams prevent runaway spending and bill spikes without slowing down team efficiency.
Reliability and Uptime
Built-in automatic retries, cross-provider failover, fallback models on failure, and virtual model lists enable seamless failover.
Unified Dashboard and Alerts
A unified dashboard across models and providers supports filtering by cost, latency, and errors, and provides alerts for usage and spikes.
Auto Routing
Auto Router automatically routes each request to the best LLM based on cost, latency, and output quality, without manual tuning. Models can be selected by accuracy, response speed, or high-concurrency handling capability.
Model Comparison and Composition
Compare models' latency, output quality, and cost in an interactive playground, or compose multiple models to cross-check outputs and leverage each model's strengths to improve result quality.
Observability
Track usage, latency, errors, and cost across all models in real time, and monitor usage and performance for each request to ensure consistent output quality.
Self-Hosting
The enterprise edition supports running the full gateway on your own cloud infrastructure, so prompts, responses, logs, and provider keys never leave your own network. The team assists with deployment and upgrades.
How to Use
Access it through the OpenAI-compatible API, and you can use different providers' models through a unified interface. The platform offers free credits, with no setup fees, no monthly minimums, and no credit card required, and can be used to build, test, and explore the unified API. The self-hosted version requires contacting the enterprise edition.
Use Cases
Suitable for enterprise AI teams that need routing, cost optimization, and unified governance across multiple models; AI applications that need high availability and automatic failover; scenarios that need to compare and compose multiple models to improve output quality; and enterprises that need to deploy the gateway within their own infrastructure.
Limitations
Specific information such as the supported model list, pricing, and free credit amounts is not yet provided.
