Qwen3 Next 80B A3B Instruct
Qwen · Text · Context 256K · max output 262.1K tokens
qwen3-next-80b-a3b-instruct
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Pricing
| MarkasAI | Vendor list price | |
|---|---|---|
| Input | Rp 2.294 | Rp 2.684 |
| Output | Rp 18.345 | Rp 21.468 |
| Cache | Rp 2.294 | |
| Cache write | Rp 2.294 |
MarkasAI sale prices in Rupiah, read from the same catalog as GET /v1/models. Prices can change and apply to later requests.
Specifications
- Model ID
qwen3-next-80b-a3b-instruct- Provider
- Qwen
- Type
- Text
- Endpoint
POST /v1/chat/completions- Context window
- 256,000 tokens
- Output limit per request
- 262,114 tokens
About this model
Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks across reasoning, code generation, knowledge QA, and multilingual...
Quoted from the provider's public catalog, in English.
Call example
curl https://api.markas.ai.id/v1/chat/completions \
-H "Authorization: Bearer $MARKASAI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-next-80b-a3b-instruct",
"messages": [{"role": "user", "content": "What is an API?"}],
"max_tokens": 300
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://api.markas.ai.id/v1", api_key=os.environ["MARKASAI_API_KEY"])
resp = client.chat.completions.create(
model="qwen3-next-80b-a3b-instruct",
messages=[{"role": "user", "content": "What is an API?"}],
max_tokens=300,
)
print(resp.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.markas.ai.id/v1", apiKey: process.env.MARKASAI_API_KEY });
const resp = await client.chat.completions.create({
model: "qwen3-next-80b-a3b-instruct",
messages: [{ role: "user", content: "What is an API?" }],
max_tokens: 300,
});
console.log(resp.choices[0].message.content);Keep your API key in the MARKASAI_API_KEY environment variable. Read the endpoint docs