Coder Model is not just another LLM, but a virtual model designed to reduce unnecessary, costly interactions during Agentic Coding.
We leverage the best aspects of top-performing models so you always get the right tool for the task.
Deterministic checks and meta analysis help prevent error-prone situations.
By minimizing unnecessary iterations, you use fewer tokens without sacrificing quality.
Set your cline or OpenHands configuration to use Coder Model's base URL and API key.
Your coding agent forwards requests through our API.
For each request, our system automatically chooses the most suitable model from across the ecosystem—often Sonnet, but also others when needed (for example, to break out of repetitive loops, handle long contexts, or spend compute more efficiently).
We perform real-time meta analysis on your agentic flow. Our enhancement layer then applies deterministic checks and feedback to minimize mistakes and avoid costly interactions.
The final, refined output is returned to your agent as if it came straight from a specific LLM.
Coder Model uses the same per-token rates as Sonnet. You gain all the benefits of dynamic model selection and LLM enhancement—at no extra per-token cost and with fewer costly agent interactions as a result.
$3
per MTok
$3.75
per MTok
$0.30
per MTok
$15
per MTok
Purchase token credits as you need them. There's no monthly subscription or long-term commitment.
Access detailed usage metrics and performance logs through our dashboard.
Limited time pre-launch offer
Coder Model brings the best from the LLM ecosystem into your agentic coding workflow. By automatically selecting the optimal model for each request and enhancing the interaction with meta analysis and deterministic checks, it reduces mistakes and saves you tokens—at the same per-token cost as using Sonnet.
Coder Model — Coder Model is a virtual model designed for agentic coding, providing dynamic LLM selection and meta analysis to enhance your coding workflow.