Speed
Output tokens / second
Custom pricing for production workloads
Meta's multimodal reasoning model built for agentic tasks, with a 1M token context window, computer use, and parallel sub-agents.
Muse Spark 1.1 is a chat model from Meta for text, image and file inputs, combining vision and reasoning with tool calling and structured text outputs.
meta/muse-spark-1.1https://api.aimlapi.com/v1See how Muse Spark 1.1 compares in generation speed and latency. Data retrieved Nov 3, 2026.
Output tokens / second
Compare 6 models available on AI/ML API across 5 independent benchmarks.
Expert-written questions across academic subjects.
Graduate-level science questions written to resist web search.
Agentic tasks completed in a command-line environment.
Reasoning across long documents of about 100k tokens.
Python coding tasks drawn from scientific research.
| Usage | Price | Unit |
|---|---|---|
| Input | $1.32 | 1M tokens |
| Output | $4.5 | 1M tokens |
| Cached input | $0.1587 | 1M tokens |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
| $1.32 | $4.5 | |
| $0.3703 | $1.59 | |
| $1.32 | $4.5 | |
| $1.32 | $4.5 | |
| $4.23 | $21.16 |
Give your agent the model details, code and documentation.
export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"curl 'https://api.aimlapi.com/v1/chat/completions' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "meta/muse-spark-1.1",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "meta/muse-spark-1.1",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}
response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = 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-1.1",
"messages": [
{
"role": "user",
"content": "Write a haiku about the ocean."
}
]
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Muse Spark 1.1 has a 1,000,000 tokens context window and can return up to 128,00 tokens.
Muse Spark 1.1 takes text, image, file in as input and returns text out.
Use meta/muse-spark-1.1 as the model id.
Muse Spark 1.1 became available on July 9, 2026.
Muse Spark 1.1 costs $1.32 input and $4.5 output per 1M tokens on AI/ML API, billed as you go with no subscription.
Yes, Muse Spark 1.1 can stream responses as they are generated.
Yes, Muse Spark 1.1 accepts image input alongside text.
Muse Spark 1.1 was built by Meta.
Yes, computer use is listed among its features.
Yes, it supports parallel tool calling.