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Home English Business Technology Artificial Intelligence (AI) Alibaba Previews Qwen 3.8 Max, Its Largest AI Model Ever
Artificial Intelligence (AI) Business English Technology

Alibaba Previews Qwen 3.8 Max, Its Largest AI Model Ever

By Sadia Afrin JoyaJuly 23, 20262 Mins Read

Alibaba unveiled Qwen 3.8 Max on July 19 at Shanghai World AI Conference, a 2.4-trillion-parameter model claimed second only to Anthropic Fable 5.

Alibaba Qwen 3.8 Max AI

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The sparse Mixture-of-Experts multimodal model processes text, images, video, and documents with a one-million-token context window. Alibaba released it as preview on its Token Plan, Qoder, and QoderWork platforms, offering 10% discount pricing.

The Specs and Performance Claims

With 2.4 trillion parameters, Qwen 3.8 Max sits between frontier models and open-weight alternatives. Alibaba made bold positioning claims about performance, though preview launched without benchmarks or third-party validation.

The company said it plans open-weight release soon with no timeline given. This mirrors industry trends where large model makers release gated previews first.

Pricing and Developer Access

During preview, model runs on credit-based tiers: $6 Lite plan gets 2,500 credits weekly, $68 Pro gets 40,000 credits with concurrent agents. Developers access it through Alibaba platforms without upfront fees.

The preview launch positions Qwen to capture developers exploring alternatives to American and European AI models. Alibaba infrastructure advantage in China gives it leverage serving domestic demand.

The race to build frontier AI models now involves spending at scales previously reserved for semiconductor manufacturing alone.

References

MarkTechPost. (2026). Alibaba Previews Qwen3.8-Max AI Model. Published July 19, 2026.

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Sadia Afrin Joya
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Sadia Afrin Joya is a journalist at Zoom Bangla News, contributing to news writing and editorial support. She works to ensure accuracy, clarity, and consistency in published content for digital audiences. Her approach reflects a commitment to responsible journalism and quality reporting.

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