Muse Spark 1.3 Contributor
The same Muse Spark 1.3 at a far lower price — because Meta may train on what you send it.
About Muse Spark 1.3 Contributor
This is not a different model. It is Muse Spark 1.3 sold under Meta’s Contributor terms: a heavy discount in exchange for permission to use your prompts and the model’s answers to train future Meta models. Everything you send, and everything it sends back, may become training data.
That makes it a good deal for the right work — prototypes, experiments, public code, benchmark runs — and the wrong model for anything confidential. Meta has published no retention period or way to withdraw consent that we could find, so treat every request as a permanent donation.
Where it’s strong
Prototypes and experiments on data that is not sensitive.
Agents working on public or open-source code.
Large test and benchmark runs where cost matters more than privacy.
Where to be careful
Do not send customer data, personal data, confidential documents or anything regulated: Meta may use it to train its models.
Lower rate limits than the standard Muse Spark 1.3.
Your users cannot tell which version their data went through — only the model name in your code decides it — so say so in your own product.
Price in rupees
For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost $0.65 — a long prompt and a page of answer each. Every rate is published and stays the same from one request to the next. See every model.
Specs
muse-spark-1.3-contributorUsing it from Sri Lanka
Muse Spark 1.3 Contributor is billed in rupees, on the same monthly invoice as every other model your team uses — no foreign card, no separate Meta account, and one key for all of it.
Prompts sent to Muse Spark 1.3 Contributor are processed outside Sri Lanka. If a workload has to stay in the country, Qwen3.8-27B (Colombo) runs on our own servers in Colombo.
If your work involves personal data about people in Sri Lanka, check with whoever handles your data-protection obligations before you use this model.
Call it
Use the OpenAI SDK you already have — point it at Roar AI and name the model. Read the docs.
from openai import OpenAI
client = OpenAI(base_url="https://api.roar-ai.com/v1", api_key="roar_live_…")
reply = client.chat.completions.create(
model="muse-spark-1.3-contributor",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Compare Muse Spark 1.3 Contributor
Questions
How much does Muse Spark 1.3 Contributor cost in Sri Lanka?
Input is $0.13 per 1M tokens; output is $0.26 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost $0.65. The rate is published and does not change from one request to the next.
Can I pay for Muse Spark 1.3 Contributor in Sri Lankan rupees?
Yes. Usage is billed to one monthly invoice in rupees, together with every other model your team uses, and you can also pay by card. There is no separate Meta account to open and no foreign card needed.
Does Muse Spark 1.3 Contributor keep data in Sri Lanka?
No — prompts sent to Muse Spark 1.3 Contributor are processed outside Sri Lanka. If your data has to stay in the country, use Qwen3.8-27B (Colombo), which runs on our servers in Colombo.
Is Muse Spark 1.3 Contributor open source?
No. Meta does not publish the weights, so it is only available through an API like this one.