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Poolside released Laguna S 2.1 on 2026-07-22

Brief

Laguna S 2.1, released by Poolside on 2026-07-22, is a 118B-parameter Mixture-of-Experts model (8B active per token) with up to a 1M-token context and 'thinking'/'no-thinking' modes. Poolside claims parity with models 10× its size, the ability to run on a single NVIDIA DGX Spark, and has published weights under OpenMDW-1.1 on Hugging Face.

Why it matters

Poolside released Laguna S 2.1 on 2026-07-22: a 118B-parameter Mixture-of-Experts model activating 8B parameters per token, supporting up to a 1M-token context window and offering 'thinking' and 'no-thinking' modes.

Key details

  • @BasedTorba calls this 'a huge deal,' highlighting that Laguna S 2.1 is an American open-source model that Poolside says matches models 10× its size, can run on a single NVIDIA DGX Spark, and is fully open under OpenMDW-1.1 with weights on Hugging Face.
Source evidence

This is a huge deal. An American open source model that I can run on my local machine and that performs on par with models 10X its size.

Poolside (@poolsideai)

Today we're releasing Laguna S 2.1, our most capable model to date.

It's a 118B total parameter Mixture-of-Experts model with 8B activated per token, a context window of up to 1M tokens, and thinking and no-thinking modes.

Capable enough to hold its own against models many times its size. Small enough to run on a single @NVIDIAAI DGX Spark.

Laguna S 2.1 is fully open under OpenMDW-1.1, with weights available today on @huggingface

poolside.ai/blog/introducing…

Video

— https://nitter.net/poolsideai/status/2079613777343848465#m