Qwen3-Max Instruct is Alibaba’s flagship large language model (LLM) boasting over 1 trillion parameters, officially released in early 2025. It represents a major advance in large-scale AI, with massive training data, advanced architecture, and strong capabilities especially in technical, code, and math tasks. This instruct-tuned variant is optimized for fast, direct instruction following without step-by-step reasoning.
Qwen3-Max achieves world-class performance, especially excelling in code, mathematical reasoning, and technical domains. Alibaba’s internal and leaderboard testing show it outperforms or matches top AI models like GPT-5-Chat, Claude Opus 4, and DeepSeek V3.1 in multiple benchmarks.
vs GPT-5-Chat: Qwen-3-Max Instruct leads in coding benchmarks and agent capabilities, demonstrating strong performance on software engineering tasks. GPT-5-Chat, however, has a more mature ecosystem with multimodal features and wider commercial integrations. Qwen offers a much larger context window (~262k tokens) compared to GPT-5’s ~100k tokens.
vs Claude Opus 4: Qwen-3-Max surpasses Claude Opus 4 in agent and coding performance benchmarks while supporting a significantly larger context size. Claude excels in long-duration agent workflows and safety-focused behaviors. Both models are close in performance, with Claude having an edge in conservative code editing.
vs DeepSeek V3.1: Qwen-3-Max outperforms DeepSeek V3.1 on agent benchmarks like Tau2-Bench and coding challenges, showcasing stronger reasoning and tool-use ability. DeepSeek supports multimodal inputs but falls behind Qwen on extended context processing. Qwen’s training and scaling innovations give it a confirmed lead in large-scale tasks.
Accessible via AI/ML API. Documentation: available here.
Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "alibaba/qwen3-max", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "alibaba/qwen3-max", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"alibaba/qwen3-max","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Qwen3-Max Instruct This page | Coding + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Qwen3-Max Instruct has a 262,144 tokens context window and can return up to 65,536 tokens.
Qwen3-Max Instruct takes text as input and returns text.
Use alibaba/qwen3-max as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Qwen3-Max Instruct became available on September 30, 2025.
Qwen3-Max Instruct is priced at input $1.56 / 1M tokens, output $7.8 / 1M tokens, cached input $0.312 / 1M tokens.
Yes, Qwen3-Max Instruct can stream responses as they are generated.
Qwen3-Max Instruct was built by Alibaba Cloud.
Yes, it supports function calling and tool use, including parallel tool calls.
It is accessed via an API endpoint (https://api.aimlapi.com/v1/chat/completions); no local deployment option is listed.
