Qwen3 Max is Alibaba's flagship proprietary large language model, built with a mixture-of-experts architecture and optimized for reasoning, instruction following, and long-context processing. It delivers strong performance across math, coding, logic, and science tasks while maintaining accuracy on complex instructions in both Chinese and English. The model supports over 100 languages, performs well on retrieval-augmented generation, and provides tool-calling capabilities for agentic systems. It is built for developers working on demanding reasoning problems that also need reliable instruction following and multilingual coverage. With a 262K context window and a non-reasoning design that favors direct answers, Qwen3 Max is well suited to applications that process long documents, orchestrate agents, and run production RAG where visible reasoning steps are not required.
Qwen3 Max runs on 2 different routes through the Opper gateway. Compare residency, ZDR, and training posture at a glance β full data-handling detail per route below.
Training posture across routes: No training on prompts by default.
Each route hosting Qwen3 Max has its own privacy posture, residency, and GDPR terms. Postures are maintained by Opper with a last-verification timestamp.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; unknown.
Zero data retention is available via Opper Enterprise contract. No training on customer data. US; SCCs; DPA available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call Qwen3 Max through the Opper gateway with one API key. Let your coding agent set it up, or call it directly β Opper is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into your coding agent β Claude Code, Cursor, Codex, and more β and it'll wire up Opper for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.OPPER_API_KEY,baseURL: "https://api.opper.click/v3/compat",});const completion = await client.chat.completions.create({model: "deepinfra/Qwen/Qwen3-Max",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, EU hosting, pricing, and benchmarks.
