Poolside Releases Laguna S 2.1 — an Open-Weight Model for Agentic Coding That Punches Above Its Weight Class in SWE-Bench Multilingual

Poolside released Laguna S 2.1, an open-weight model with 11.8 billion parameters and 8 billion active per token, designed for agentic coding. Based on a Mixture-of-Experts (MoE) architecture, it supports up to 1 million tokens of context and can run on a single NVIDIA DGX Spark. Laguna S 2.1 ranks first among open models with known size on Terminal-Bench 2.1 (70.2%) and SWE-Bench Multilingual (78.5%), outperforming many larger competitors.

Poolside DeepSeek NVIDIA Tencent Moonshot AI Alibaba/Qwen Anthropic