alibabaCertifiedReleased 09/11/2025

Qwen3 Next 80B A3B Instruct

A new generation of open-source, non-thinking mode model powered by Qwen3. This version demonstrates superior Chinese text understanding, augmented logical reasoning, and enhanced capabilities in text generation tasks over the previous iteration (Qwen3-235B-A22B-Instruct-2507).

View API reference ↓
Input / output priceFrom$0.090 / $1.10per 1M
24h uptime99.94%
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.inferencebureau.com/v1",
  apiKey: process.env.IB_API_KEY,
});

const res = await client.chat.completions.create({
  model: "alibaba/qwen3-next-80b-a3b-instruct",
  messages: [{ role: "user", content: "Why is the sky blue?" }],
});

console.log(res.choices[0].message.content);

Providers

Dispatch routes requests across these providers and fails over between them without changing the model. Restrict or order providers with team Directives. Prices are gateway list prices before the platform fee.

ProviderContextMax outputLatencyThroughputInputOutputCacheCapabilitiesZDRNo trainingRegionsStatus
DeepInfra262K33K0.4 s138 tps$0.090$1.10Read —Write —3 featuresNoYesGlobalCertified
Google Vertex AI262K262K——$0.15$1.20Read —Write —3 featuresYesYesGlobalCertified

Uptime

24 hours

Request success rate per provider.

DeepInfra99.94%
Google Vertex AI—

Throughput

last hour

P50 output tokens per second.

DeepInfra138 tps
Google Vertex AI—

Latency

last hour

P50 time to first token.

DeepInfra0.4 s
Google Vertex AI—

Getting started

Create a key on the API Keys page and set it as IB_API_KEY. See the quickstart.

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.inferencebureau.com/v1",
  apiKey: process.env.IB_API_KEY,
});

const res = await client.chat.completions.create({
  model: "alibaba/qwen3-next-80b-a3b-instruct",
  messages: [{ role: "user", content: "Why is the sky blue?" }],
});

console.log(res.choices[0].message.content);

Top-level parameters

Standard Chat Completions parameters work as documented. These have model-specific behavior.

ParameterTypeRequiredDescription
modelstringYesModel ID in the form creator/model, e.g. alibaba/qwen3-next-80b-a3b-instruct. Must be allowed by your team's Directives.
max_tokensnumberNoHard cap on generated tokens, and the basis for the balance reserved per request. Qwen3 Next 80B A3B Instruct supports up to 262,114 output tokens.
toolsTool[]NoFunction definitions the model can call. Tool calls are returned in choices[].message.tool_calls.
Supportedmax_tokenstemperaturestoptoolstool_choiceresponse_formatstructured_outputs

Input limits

InputSourcesLimits
Text—Prompt and response share the 262K-token context window

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