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Open-weight coding models, Laguna s and xs 2.1, with an OpenAI-compatible API and a terminal agent
Poolside trains its own foundation models for agentic coding and publishes the weights. The current pair is Laguna s 2.1 at 118 billion parameters with 8 billion active, and Laguna xs 2.1 at 33 billion with 3 billion active, released under licences ranging from OpenMDW to Apache 2.0 and downloadable from Hugging Face. The same models can be called through an OpenAI-compatible chat API, run locally in Docker, or driven from the company's own terminal agent harness, a desktop app, or third parties such as OpenRouter and the Vercel AI Gateway. The site says API use is free for a limited time and quotes no rates, and there is a separate government track alongside the commercial one.
No rate card is published. The models page says API access is free for a limited time, and the open weights cost nothing to download; commercial and government terms are handled directly with the company.
Use tool ↗One of the few labs training coding-specific frontier models and then publishing the weights, which means you can run Laguna locally, call it as an API, or point an existing agent harness at it through OpenRouter. The sparse-activation sizes — 8 billion active out of 118 — are aimed squarely at making agentic loops affordable. The gap is commercial: no rate card, a free-for-now API, and a company that publishes research and a government track but not its own address.
Watch out: Free-for-a-limited-time API access is not a price; budget for what it costs after the window, or plan to self-host.
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