Poolside releases Laguna S 2.1, the open-weight coding model pitched as the West’s answer to DeepSeek and Qwen
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Poolside released Laguna S 2.1, a 118B open-weight coding model that matches larger rivals and runs on a desktop, pitched as the West’s answer to Chinese AI.
Poolside has released Laguna S 2.1, a 118-billion-parameter open-weight model built for agentic coding that the San Francisco startup says matches or exceeds models several times its size. The model uses a mixture-of-experts architecture with eight billion active parameters per token, is compact enough to run on a single Nvidia DGX Spark desktop system, and the weights are available on Hugging Face under the Linux Foundation’s OpenMDW license.
On Terminal-Bench and SWE-Bench Pro, two agentic coding evaluations, Laguna S 2.1 scored just over 70 percent and nearly 60 percent respectively, matching or beating models from DeepSeek, Nvidia, and Thinking Machines that carry two to eight times as many active parameters. Poolside acknowledges the model is “not yet at the frontier,”...
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