Laguna S 2.1

Poolside🇺🇸poolside/laguna-s-2.1

دردشةمقارنة

Laguna S 2.1 is an open-weight agentic coding model from Poolside, a 118B-parameter mixture-of-experts system with 8B active parameters per token and up to a 1M-token context window. Trained with reinforcement learning inside Poolside's own agent harness, it targets agentic software engineering tasks and is competitive with much larger models on SWE-bench and Terminal-Bench.