Poolside: Laguna XS 2.1
poolside's efficiency model. Context window: 262K tokens.
Scores by test
Methodology →What you need to know
Laguna XS 2.1 is primarily a high-reliability utility model optimized for precision and long-form data processing. Its strongest differentiators are perfect scores in structured output, faithfulness, and long context handling, supported by a 262K context window. This makes it highly effective for extracting data from large documents or maintaining strict formatting requirements without hallucinating.
At a blended cost of $0.105 per million tokens, the model is priced as a budget-tier option. Given its high performance in structured tasks and persona consistency, it offers significant value for developers who need deterministic outputs at a low price point rather than general-purpose intelligence.
The model struggles with safety calibration and exhibits mediocre performance in tool calling and creative problem solving. It is not designed for autonomous agentic workflows that require complex API orchestration or for user-facing applications where strict safety guardrails are a priority.
Use this model if you need a low-cost solution for RAG pipelines, structured data extraction, or processing large documents with high fidelity. Skip this model if your application requires robust safety filtering, complex tool integration, or creative brainstorming.
Strengths — Top 3
Relative weaknesses — Bottom 3
Similar models