Martian
Model router that optimizes cost and quality per request
Martian is profiled here as a LLM tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Martian is a model routing company founded by Etan Ginsberg and Shriyash Upadhyay that directs each request to the model offering the best result for the task. It runs a dynamic router that weighs accuracy against price across many providers, and an interpretability-driven approach informs how it predicts which model will perform on a given input. The product targets organizations spending heavily on inference that want to control cost without sacrificing output quality. A single interface across providers also gives automatic failover when one model degrades or goes offline. The router exposes an OpenAI-compatible endpoint, so existing client code can point at it without changes.
Key Capabilities:
Dynamic routing across commercial and open models
Cost and quality optimization per individual request
A unified interface spanning multiple providers
Automatic failover when a provider degrades
Spend analytics across routed traffic
Enterprise controls for large-scale inference workloads
Alternative tools
- Kong AI Gateway
AI traffic governance built on the Kong gateway
- Eden AI
One API for many AI models across providers and modalities
- Reka
Multimodal models that reason across text, image, and video
- Moonshot AI
Open-weight Kimi models tuned for agentic and coding tasks
- xAI Grok
Grok model family with real-time search through one API
- LLM Guard
Open-source security toolkit for LLM interactions
