Llama 3.1 8B API in Singapore
Meta’s small Llama: quick and very cheap for simple, high-volume text work. Priced in Singapore dollars for teams in Singapore, on the same key as every other model.
Llama 3.1 8B API pricing in Singapore
In Singapore dollars, the currency your card is charged in, with the published US dollar rate beside each.
For scale: 1,000 requests of about 3,000 tokens in and 1,000 out cost S$0.4271 — 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.
Prices are our published US dollar rates converted at S$1.30 to the dollar, our rate for October — the same rate your card is charged.
About Llama 3.1 8B
Llama 3.1 8B is the smallest model in Meta’s Llama 3.1 family and one of the most widely used open models anywhere. It has no reasoning mode and makes no pretence of one: it is fast, very inexpensive, follows instructions well for its size (80.4% on IFEval) and handles a 128K-token context.
Use it where the task is simple and the volume is high — routing messages, tagging, short summaries, pulling out a few fields. For anything that needs real reasoning, a 2026 small model will do much better.
What is Llama 3.1 8B good for?
- Routing, tagging and extraction at very low cost.
- Short summaries and simple chat.
- Steps in a pipeline where speed matters more than depth.
Where to be careful
- Its knowledge stops at December 2023.
- Weak at maths and multi-step reasoning next to newer small models.
- Meta’s licence carries use restrictions; it is not open source in the OSI sense.
Specs
llama-3.1-8bUsing Llama 3.1 8B from Singapore
Roar AI provides access to Llama 3.1 8B through the Roar AI gateway, charged in Singapore dollars on one bill with every other model. Requests from Singapore go through our gateway in Singapore. Developers can use Llama 3.1 8B alongside other supported models without a separate integration for every provider.
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="llama-3.1-8b",
messages=[{"role": "user", "content": "Summarise this contract in plain English."}],
)Where is Llama 3.1 8B processed?
Requests to Llama 3.1 8B are processed on international infrastructure, outside Singapore. The model directory says where each model is processed.
Questions
How much does Llama 3.1 8B cost in Singapore?
Input is S$0.0929 per 1M tokens; output is S$0.1486 per 1M tokens. For scale, 1,000 requests of about 3,000 tokens in and 1,000 out cost S$0.4271. Prices are our published US dollar rates converted at S$1.30 to the dollar, our rate for October — the same rate your card is charged. The rate is published and does not change from one request to the next.
Is Llama 3.1 8B open source?
Its weights are open under the Llama 3.1 Community License licence, so you could run it yourself. Through Roar AI you call it like any other model, with no servers to manage.
Try Llama 3.1 8B
on one key
Sign up, get a key and call it with the SDK you already use. Pay in your local currency, on one bill.