Qwen

Qwen: Qwen3 Next 80B-A3B Thinking

stable

Qwen3 Next 80B-A3B Thinking is available through Everstack's OpenAI-compatible gateway with routing, fallback, retries, and observability.

qwen3-next-80b-a3b-thinkingqwen3released Sep 1, 2025
Context
131.1K
tokens
Max output
32.8K
tokens
Input
$0.50
per 1M
Output
$6.00
per 1M

Activity

Daily period usage
Aggregated managed Everstack traffic. Buckets below 5 tenants or 100 requests are withheld.

Providers

ProviderContextInput /MOutput /M

Pricing

ItemPriceUnit
Input$0.50per 1M tokens
Output$6.00per 1M tokens

Performance

Reliability

Compare

Compare usage and performance
Place this model beside up to three other catalog models.

Capabilities

Capabilities
Modalities
Input
Output
Details
Model ID
qwen3-next-80b-a3b-thinking
Family
qwen3
Status
stable
Knowledge
-
Released
Sep 1, 2025
Gateway Config
API
v1
Auth
DASHSCOPE_API_KEY
Discovery
static
Provider type
static

Quick Start

index.ts
import Everstack from "@everstack/node";const client = new Everstack({  apiKey: process.env.EVERSTACK_API_KEY!,  baseUrl: "https://{instance}.{region}.everstack.ai",});const completion = await client.chat.completions.create({  model: "@qwen/qwen3-next-80b-a3b-thinking",  messages: [{ role: "user", content: "Explain vector cache routing." }],});console.log(completion.choices[0]?.message?.content);

Endpoint

Base URL
https://dashscope-intl.aliyuncs.com/compatible-mode/v1
Chat completions
https://dashscope-intl.aliyuncs.com/compatible-mode/v1/chat/completions
Model
qwen3-next-80b-a3b-thinking
Auth env
DASHSCOPE_API_KEY

Qwen3 Next 80B-A3B Thinking FAQ

How much does the Qwen3 Next 80B-A3B Thinking API cost?

Through Qwen, Qwen3 Next 80B-A3B Thinking costs $0.50 per 1M input tokens and $6.00 per 1M output tokens.

What is the context window of Qwen3 Next 80B-A3B Thinking?

Qwen3 Next 80B-A3B Thinking accepts up to 131.1K tokens of context and returns up to 32.8K output tokens on Qwen.

What can Qwen3 Next 80B-A3B Thinking do?

Qwen3 Next 80B-A3B Thinking supports chat, function calling and reasoning. It accepts text input.

How do I call Qwen3 Next 80B-A3B Thinking through Everstack?

Point any OpenAI-compatible SDK at your Everstack gateway and set the model to @qwen/qwen3-next-80b-a3b-thinking. Everstack adds retries, provider fallback, caching, per-tenant budgets and OpenTelemetry traces for every request.