import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "meta/muse-spark-1.3", "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": "meta/muse-spark-1.3", "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":"meta/muse-spark-1.3","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
The documented pricing caveat is that Muse Spark 1.3 has a separate contributor tier that is cheaper but allows Meta to use your prompts and completions to improve its products, while the standard tier keeps data private and costs more.
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Muse Spark 1.3 This page | Agentic workflows and structured output | |||
| Long-context multimodal reasoning and tool use | ||||
| Agentic tasks, computer use & coding | ||||
| Multimodal reasoning and tool use |