Muse Spark 1.3 API

Meta's chat model
Context
1.0M tokens
Input
$1.71925 / 1M tokens
Output
$5.84545 / 1M tokens
Released
Sep 2, 2026

How to use Muse Spark 1.3 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to meta/muse-spark-1.3.
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.

Muse Spark 1.3 API Pricing

TypePrice
Input
$1.71925 / 1M tokens
Output
$5.84545 / 1M tokens
Cached input
$0.20631 / 1M tokens

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.

Muse Spark 1.3 vs other models

ModelInputOutputContextBest for
$1.71925 / 1M tokens
$5.84545 / 1M tokens
1.0M tokens
Agentic workflows and structured output
$1.71925 / 1M tokens
$5.84545 / 1M tokens
1M tokens
Long-context multimodal reasoning and tool use
$1.71925 / 1M tokens
$5.84545 / 1M tokens
1M tokens
Agentic tasks, computer use & coding
$0.48139 / 1M tokens
$2.0631 / 1M tokens
131K tokens
Multimodal reasoning and tool use

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