Laguna S 2.1
AssessTools
A large Mixture-of-Experts coding model built for long-horizon agentic work.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by model releases, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7Hacker News·7/21/2026model_releasePoolside releases Laguna S 2.1 coding model
Poolside has released Laguna S 2.1, a 118B-parameter Mixture-of-Experts coding model with 8B active parameters per token and support for up to a 1M-token context window. The company says it is optimized for longer-horizon agentic coding work and reports strong results on benchmarks such as Terminal-Bench 2.1, SWE-Bench Multilingual, SWE-Bench Pro, DeepSWE, SWE Atlas, and Toolathlon Verified.