Qwen3-Max by Alibaba Cloud is a cutting-edge open-source language model designed for expansive context understanding, advanced reasoning, and high-volume content generation. Equipped with an expansive 256K-token context window, it excels in large-scale text analysis, multi-turn dialogue, and complex code synthesis. It delivers strong performance across multilingual and quantitative benchmarks, making it suitable for demanding AI applications that require long-range dependency handling and intricate data processing. Licensed under Apache 2.0, Qwen3-Max offers commercial and research flexibility, with native support for English, Chinese, and over 10 additional languages. It stands out for its superior scalability and cost-efficiency for projects needing extended token capacities and robust output volumes.
Qwen3-Max demonstrates leading-edge capabilities in processing ultra-long documents and complex conversations. Its ability to maintain context coherence over 256K tokens surpasses most contemporary LLMs, supporting workflows that require persistent state awareness and extended creative or analytical generation. Coding benchmarks reflect its robust development use cases, while multilingual tasks confirm its balanced global language competence.
Qwen3-Max delivers enterprise-grade performance for diverse AI workloads:
While Qwen3-Max provides unprecedented token capacity and advanced reasoning, it incurs higher API costs at the upper token ranges and may show some latency differences in ultra-long context scenarios compared to smaller models optimized for speed. Additionally, some benchmark scores await public confirmation but are expected to align with the high standard set by the Qwen3 family.
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-preview", "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-preview", "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-preview","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 |
|---|---|---|---|---|
| Intelligence | 16.3 | Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Math | 82.3 | Composite score across standardised mathematics evaluations, measured independently by Artificial Analysis | Source | September 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Qwen3-Max Preview This page | Coding + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Qwen3-Max Preview has a 252,000 tokens context window and can return up to 32,768 tokens.
Qwen3-Max Preview takes text as input and returns text.
Use alibaba/qwen3-max-preview as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Qwen3-Max Preview became available on September 30, 2025.
Qwen3-Max Preview is priced at input $1.56 / 1M tokens, output $7.8 / 1M tokens, cached input $0.312 / 1M tokens.
Yes, Qwen3-Max Preview can stream responses as they are generated.
Qwen3-Max Preview was built by Alibaba Cloud.
Yes, its capabilities include reasoning along with function calling and web search.
It is available through the API endpoint at api.aimlapi.com/v1/chat/completions.
