Alibaba launches 2.4-trillion-parameter Qwen3.8-Max and plans revenue share on open weights

Alibaba released Qwen3.8-Max, its largest model to date — a 2.4-trillion-parameter mixture-of-experts system with 95 billion active parameters, a one-million-token context window and multimodal input. On OpenRouter it's priced around $2 per million input tokens, roughly 40% of Claude Opus 5, continuing the Chinese push toward aggressive price-performance. Alibaba plans to open-source the weights (an r/LocalLLaMA thread pegged the open release for the following Wednesday) and ship a smaller Qwen3.8-27B on August 12, alongside QwenWork, an enterprise agent product consolidating its AI office tools.

The more consequential shift is business-model: Alibaba is testing a revenue-sharing arrangement for major commercial users of its next open-weight model, mirroring Moonshot's Kimi K3. Enterprises generating substantial revenue from services built on Qwen would negotiate a commercial agreement — an evolving monetization strategy that tries to reconcile open weights with sustainable returns as Chinese labs intensify global competition.

That revenue-share experiment lands the same week DeepSeek raised prices, underscoring that the era of pure loss-leader Chinese AI pricing is giving way to margin discipline. Alibaba is simultaneously extending Qwen's capability war upward (Qwen3.8-Max) and its ecosystem downward (open 27B weights, QwenWork agents).

Watch how Qwen3.8-Max benchmarks against Claude Opus 5, GPT-5.6 and Grok 4.6, whether the open-weight revenue-share model deters or reshapes commercial adoption, and how Western enterprises weigh cost savings against the compliance and provenance questions around Chinese open models.