Laguna S 2.1 is a 118B-parameter Mixture-of-Experts model with approximately 8B parameters activated per token, designed for agentic coding and long-horizon work.
Highlights
Agentic coding: optimized for software engineering, terminal tasks, and long-running tool workflows.
Efficient MoE architecture: routes each token through 10 of 256 experts plus one shared expert.
Native reasoning: supports interleaved and preserved thinking across tool calls.
Long context: supports up to 262,144 tokens.
Custom Fields
Special features defined by the model author
Enable Thinking
: boolean
(default=true)
Controls whether the model will think before replying
Preserve Thinking
: boolean
(default=false)
Preserves reasoning content from prior assistant turns