SunoPaidOperationalModerated
Suno Uploads
API model name: suno_uploads
Suno Uploads is Suno's AI model, served on the Api.Airforce unified API. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.
Pricing
Specifications
- Provider
- Suno
- Type
- AI model
What is Suno Uploads used for?
- Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.
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Suno Uploads — frequently asked questions
- How much does Suno Uploads cost?
- Suno Uploads is billed per generation rather than per token. See the pricing page for the current rate.
- What can Suno Uploads do?
- Suno Uploads is Suno's AI model, accessible through the Api.Airforce API.
- Is Suno Uploads free to use?
- Suno Uploads is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
- How do I use Suno Uploads via the API?
- Suno Uploads is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID suno_uploads with your Api.Airforce API key.
- Who makes Suno Uploads?
- Suno Uploads is Suno's AI model, served through the unified Api.Airforce gateway alongside 100+ other models.
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Use Suno Uploads via the API
OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass suno_uploads as the model.
cURL
curl https://api.airforce/v1/chat/completions \
-H "Authorization: Bearer $AIRFORCE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "suno_uploads",
"messages": [{ "role": "user", "content": "Hello!" }]
}'Python
from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
model="suno_uploads",
messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
model: "suno_uploads",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);