Qwen3 Next 80B A3B Instruct
Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model from the Qwen3-Next series, designed for quick and stable responses without “thinking” traces. It handles complex tasks like reasoning, code generation, knowledge Q&A, and multilingual applications with strong alignment and formatting. Compared to earlier Qwen3 instruct versions, it offers higher throughput and stability, even with long inputs or multi-turn conversations. Ideal for RAG, tool use, and agentic workflows, it delivers consistent and reliable answers with efficient parameter use and fast inference.
Pricing
Pay-as-you-go rates for this model. More details can be found here.
Input Tokens (1M)
$0.07
Output Tokens (1M)
$0.70
Capabilities
Input Modalities
Output Modalities
Supported Parameters
Available parameters for API requests
Usage Analytics
Token usage across the last 30 active days
Uptime
Reliability over the last 7 days
Throughput
Time-To-First-Token (TTFT)
Code Example
Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.
Basic request example. Ensure API key permissions. For more details, see our documentation.
from openai import OpenAI
client = OpenAI(
base_url="https://api.naga.ac/v1",
api_key="YOUR_API_KEY",
)
resp = client.chat.completions.create(
model="qwen3-next-80b-a3b-instruct",
messages=[
{{"role": "user", "content": "What's 2+2?"}}
],
temperature=0.2,
)
print(resp.choices[0].message.content)