Poolside Laguna S 2.1
Poolside's efficiency model. Long-context specialist with 1.0M window.
Scores by test
Methodology →What you need to know
Poolside Laguna S 2.1 is an open-weight model optimized for high-precision formatting and massive data ingestion. Its primary technical advantage is the combination of a 1.0M token context window and a perfect 5/5 score in structured output, making it highly reliable for extracting specific schemas from extremely large documents.
At a blended cost of $0.175 per million tokens, the model is positioned as a budget-friendly option for high-volume processing. It delivers strong performance in multilingual tasks, persona consistency, and agentic planning, though it struggles with creative problem solving and constrained rewriting. Developers should be aware of a critical failure in safety calibration, which scored 1/5, indicating a lack of built-in guardrails.
Use this model if you need a low-cost, open-weight solution for processing long-form documents into structured data or maintaining a strict persona across large contexts. Skip this model if your application requires high safety alignment or nuanced creative writing.
Strengths — Top 3
Relative weaknesses — Bottom 3
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