Muse Spark 1.2
Muse Spark 1.2 is Meta's general-purpose model. It reads images, understands video and reasons step by step before it answers. It takes up to 1.05M tokens of context and writes up to 1.05M per response.
Output price
$2.635
USD / 1M tokens
38% below list price
Add $5, get $5 more on your first top-up.
Same Muse Spark 1.2. 38% less.
Specs.
- Model ID
- muse-spark-1.2
- Made by
- Meta
- Context window
- 1.05M tokens
- Max output
- 1.05M tokens
- Endpoint
- /v1/chat/completions
- Billing
- Per token, from one balance
Edge gateways
Requests enter at the gateway nearest your app and go straight to the model, so routing adds very little to each call.
One key, every model
Switch models by changing a string. One prepaid balance covers all of them, billed per token.
Nothing stored
We keep token counts for billing, never your prompts or responses.
Call Muse Spark 1.2 in a minute.
Point any OpenAI-compatible client at our base URL, keep your key in an environment variable, and use the model ID muse-spark-1.2.
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.promptsforless.com/v1",
api_key=os.environ["PFL_API_KEY"],
)
response = client.chat.completions.create(
model="muse-spark-1.2",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
Cursor guide
OpenCode guide
OpenAI SDK guide
Google
DeepSeekQuestions.
How much does Muse Spark 1.2 cost?
$2.635 / 1M tokens output and $0.775 / 1M tokens input, 38% below Meta's list price. You pay per token from a prepaid balance, with no subscription or minimum. We match your first $5 top-up, so you start with $10 of credit.
Is it the real Muse Spark 1.2?
Yes. Your requests run on Meta's Muse Spark 1.2, not a distilled copy or a substitute. The discount comes from how we buy capacity, not from changing the model.
Which tools can use Muse Spark 1.2?
Anything that speaks the OpenAI API: set the base URL to our endpoint and use the model ID muse-spark-1.2. We have setup guides for Cursor, Codex, OpenCode, the OpenAI and Vercel AI SDKs, LangChain and more.
How fast is it?
Requests go through our edge gateways, so the network hop adds very little on top of Muse Spark 1.2's own generation time. Responses stream back token by token.