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Alibaba rolls out Qwen 3.5 as China’s AI race heats up

Alibaba announced the launch of its new AI model, Qwen 3.5, designed for autonomous task execution. The company claims Qwen 3.5 is 60% cheaper to operate and eight times more capable of handling large workloads than its predecessor.

The model features “visual agentic capabilities,” allowing it to perform actions across mobile and desktop apps. Alibaba aims to attract more users to its Qwen chatbot app amid competition from ByteDance’s Doubao and DeepSeek.

Benchmark tests show Qwen 3.5 outperforms rivals such as GPT-5.2, Claude Opus 4.5, and Gemini 3 Pro. DeepSeek is expected to release its next-generation model soon, heightening competition in China’s AI sector.

🔗 Source: Reuters

🧠 Food for thought

Implications, context, and why it matters.

Price cuts tie to a multi-billion dollar bet on cloud infrastructure

  • Qwen 3.5 launching at 60% lower prices fits a broader plan shaped by fierce competition in China’s AI market 1.
  • In late 2025, Alibaba lowered prices for its Qwen3-Max model by almost 50% for domestic users as rivals rolled out competing foundational models, including releases from start-ups such as Moonshot AI 2.
  • These discounts rest on a capital push of at least 380 billion yuan (US$53 billion) over three years for AI and cloud infrastructure 3.
  • The outlay has hit profitability. Profit fell 52% year-on-year in the cited quarter, even as Alibaba’s cloud revenue rose 34% year-on-year in a recent quarter, which signals a focus on growth and infrastructure build-out over near-term earnings 3, 4.

China’s price war continues, Alibaba pushes for international adoption

  • Competition at home includes ByteDance’s Doubao chatbot and DeepSeek, yet Qwen models also keep landing overseas partnerships.
  • AI Singapore (a national program that helps companies and public agencies adopt AI) selected Alibaba’s Qwen to power its national AI program, moving away from models developed by Meta and Google 5.
  • The choice leaned on stronger Southeast Asian language performance, not price. A 32-billion-parameter Qwen-based model beat a 70-billion-parameter model based on Meta on regional benchmarks 5.
  • The same source links open-source uptake to a feedback loop that can lift demand for Alibaba’s paid cloud services, which turns AI usage into infrastructure revenue 5.

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