Poolside: Laguna M.1 (free)

poolside/laguna-m.1:free

Released Apr 28, 2026131,072 context$0/M input tokens$0/M output tokens

Laguna M.1 is the flagship coding agent model from Poolside, optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 128K context window and up to 8K output tokens. Quantized to fp8 for efficient inference.

Providers for Laguna M.1 (free)

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Performance for Laguna M.1 (free)

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Effective Pricing for Laguna M.1 (free)

Actual cost per million tokens across providers over the past hour

Apps using Laguna M.1 (free)

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Recent activity on Laguna M.1 (free)

Total usage per day on OpenRouter

Prompt

114M

Completion

2.22M

Reasoning

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Laguna M.1 (free)

Uptime stats for Laguna M.1 (free) across all providers

Sample code and API for Laguna M.1 (free)

OpenRouter normalizes requests and responses across providers for you.

OpenRouter supports reasoning-enabled models that can show their step-by-step thinking process. Use the reasoning parameter in your request to enable reasoning, and access the reasoning_details array in the response to see the model's internal reasoning before the final answer. When continuing a conversation, preserve the complete reasoning_details when passing messages back to the model so it can continue reasoning from where it left off. Learn more about reasoning tokens.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.