import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "poolside/laguna-m.1", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "poolside/laguna-m.1", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"poolside/laguna-m.1","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Laguna M.1 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Laguna M.1 has a 262,144 tokens context window and can return up to 32,768 tokens.
Laguna M.1 takes image, text as input and returns text.
Use poolside/laguna-m.1 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Laguna M.1 is priced at input $0.26 / 1M, output $0.52 / 1M.
Yes, Laguna M.1 can stream responses as they are generated.
Yes, Laguna M.1 accepts image input alongside text.
Yes. It supports function calling, tool use, and parallel tool calls.
Yes, web search is included as a supported feature and capability.