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.
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| Intelligence | 48.2 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Coding | 75.8 | Composite score across standardised coding evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| OSWorld | 66.9 | Computer-use across real desktop applications | Source | September 21, 2026 |
| 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 |
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.