The LLM router that automatically picks the best model for each query. Save up to 90% on API costs.
Martian AI solves a real problem in the multi-model era: which LLM should handle each request? GPT-5 is great for reasoning but expensive. GPT-4o-mini is cheap but limited. Claude Opus writes better prose. Martian analyzes each incoming query and routes it to the optimal model based on complexity, cost, latency, and quality requirements. You get one API endpoint; Martian handles the rest.
Who it's for: Teams running production LLM applications who want to optimize cost without managing model selection logic themselves. Especially valuable for high-volume API usage where the cost difference between models adds up fast.
Martian's router analyzes each prompt and sends it to the best model — GPT-5 for hard reasoning, GPT-4o-mini for simple tasks, Claude for creative writing. Claims up to 90% cost savings vs always using the premium model.
One API endpoint that's OpenAI-compatible. Change your base URL, keep everything else. Works with existing SDKs, LangChain, and streaming.
If one provider goes down (OpenAI outage, Anthropic rate limits), Martian automatically retries on the next best model. Your app stays up.
See which models handle your traffic, how much you're saving vs a single-model approach, and quality metrics per route. Data-driven model decisions.
Martian AI is a smart addition to any production LLM stack. The cost savings are real — if you're currently sending everything to GPT-5, routing 60% of queries to cheaper models can cut your bill dramatically. The failover and analytics are bonuses. For low-volume apps, it may not be worth the added complexity, but at scale, it pays for itself.
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