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Alibaba cuts prices on its visual language model Qwen-VL by up to 85%, after cutting Qwen prices by as much as 97% in May, amid growing AI competition in China

Alibaba is cutting prices on its large language models by up to 85%, the Chinese tech giant announced Tuesday.

CNBC Ryan Browne

Context & Ripple Effects

Alibaba had already paired AI rollout with cloud-cost reductions, including planned cuts to core cloud-product costs, and later broadened Qwen availability through more than 100 open-source Qwen 2.5 models. The Qwen-VL reduction extends that playbook from access and distribution to paid model pricing.

The repeated reductions matter because they make the cost of deploying multimodal AI a more explicit competitive lever for Alibaba, rather than leaving model selection to capability alone.

First-order effects

  • Qwen-VL customers face sharply lower listed model costs, reducing the immediate budget hurdle for visual-language workloads.
  • Alibaba accepts lower revenue per unit of Qwen-VL usage in pursuit of greater adoption and usage volume amid Chinese AI competition.

Second-order effects

  • Competing Chinese model providers face pressure to respond on pricing, model access, or bundled cloud offerings when customers can use Alibaba's reduced rates as a benchmark.
  • Enterprise buyers gain leverage in model negotiations and can test more multimodal use cases at lower marginal cost.

Third-order effects

  • If repeated cuts persist, model inference is likely to become more commoditized, with providers differentiating through cloud integration, distribution, and application ecosystems rather than API price alone.
  • The pattern increases the importance of sustaining efficient inference economics: lower prices can expand demand, but also tighten the margin available to model and cloud providers.

The trend: China's AI market is moving toward price-led competition in which falling inference costs and broad model availability shift buyer power toward enterprises and developers.