Poolside: Laguna M.1

Poolside Laguna M.1 is a text-in, text-out model from Poolside that accepts up to 262,144 tokens of context and returns up to 32,768 tokens per completion. It supports tool use and reasoning, giving it the building blocks for agentic workflows and multi-step tasks. Structured output support is not confirmed, and it takes no image or audio input. At $0.20 per million input tokens and $0.40 per million output tokens, the pricing sits at the budget end of the reasoning-capable tier, which makes it worth a look for cost-sensitive teams running long-context or tool-heavy workloads. The catch is that there is no independent benchmark coverage yet, so quality relative to peers is unproven. Buyers should treat it as an untested option and run their own evals before committing to production use.