Poolside’s Laguna S 2.1 brings 118B parameters and 1M context to a single DGX Spark
ying11231 · x · 2026-07-22
- The post highlights Laguna S 2.1 from poolsideai, now live on SGLang with day-0 support.
- It has 118B total parameters, a 1M context window, and both thinking and no-thinking modes.
- The model is positioned for long-horizon agentic coding: it reportedly keeps planning, testing, and self-correcting for up to 24 hours with little intervention.
- Efficiency comes from sparse MoE design: only 8B active parameters per token, plus official NVFP4 quantization that fits the model on a single NVIDIA DGX Spark.
- Reported scores include 70.2% on Terminal-Bench 2.1 and 78.5% on SWE-bench Multilingual.
Related event: Poolside Releases 118B Open-Weight Coding Model Laguna S 2.1(35 posts)→
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