Muse Spark 1.3 API

meta/muse-spark-1.3
Meta Muse Spark 1.3 is a multimodal reasoning model from Meta that is especially good at agentic and coding workflows, including longer-horizon work across multiple steps.
Context
1M 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 Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Intelligence
48.2
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Coding
75.8
Composite score across standardised coding evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
OSWorld
66.9
Computer-use across real desktop applicationsSourceSeptember 21, 2026

Muse Spark 1.3 vs other models

ModelInputOutputContextBest for
$1.71925 / 1M tokens
$5.84545 / 1M tokens
1M 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
128K tokens
Multimodal reasoning and tool use

Frequently asked questions

Muse Spark 1.3 has a 1,048,576 tokens context window.

Muse Spark 1.3 takes image, text as input and returns text.

Use meta/muse-spark-1.3 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

Muse Spark 1.3 became available on September 2, 2026.

Muse Spark 1.3 is priced at input $1.71925 / 1M tokens, output $5.84545 / 1M tokens, cached input $0.20631 / 1M tokens.

Yes, Muse Spark 1.3 can stream responses as they are generated.

Yes, Muse Spark 1.3 accepts image input alongside text.

Muse Spark 1.3 was built by Meta.

Yes, it supports function calling along with parallel tool calls and structured outputs.

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