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Thesean
Cloud-based LLM routing API for all business sizes
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Thesean - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: September 2026
Thesean overview
What is Thesean?
Martian is an AI research and tooling platform centered on LLM interpretability and intelligent model routing. Its flagship product, the Martian Gateway, provides unified API access to 200+ large language models across major providers through a single endpoint compatible with OpenAI and Anthropic interfaces. A built-in LLM model router evaluates each incoming prompt and routes it to the optimal model based on configurable cost-quality tradeoffs, predicting model performance without executing the request first. Automatic failover reroutes traffic to alternative providers during outages or high-latency periods, maintaining continuity without manual intervention. Integration requires a single line of code, and bring-your-own API key support is available for teams already holding provider accounts.
Beyond routing, Martian offers additional tooling grounded in mechanistic interpretability research. ARES (Agentic Research and Evaluation Suite) is a reinforcement learning framework for training and evaluating LLM agents, treating model requests as observations and responses as actions, with particular application to code generation. K-Steering enables inference-time behavior control by modifying model activations directly, without fine-tuning. Custom routers can be trained on customer-specific datasets and user behavior to optimize routing for particular task profiles. A web-based dashboard provides real-time usage tracking, model performance monitoring, and full request history.
Martian serves a broad range of customers, from individual developers on self-serve plans to Fortune 500 enterprises on customized deployments. Target industries include telecommunications, customer service, software development, and enterprise AI applications. Interpretability-based research, including identification and mitigation of Chain-of-Thought Hijacking developed in collaboration with researchers from Stanford, Oxford, and Anthropic, underpins the platform's approach to principled model behavior control.
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