Amazon Web Services has strengthened its Bedrock platform by adding support for Alibaba’s Qwen3 and DeepSeek V3, two advanced large language models that are gaining traction in the global AI ecosystem. The announcement marks another step in AWS’s strategy to provide businesses with a diverse suite of generative AI options, giving enterprises more flexibility to build and scale applications.
The addition of these models allows AWS customers to experiment with and deploy AI tools tailored to specialized needs, ranging from natural language understanding to advanced problem-solving. Bedrock, which offers fully managed foundation models through an API-based system, has been positioned as a way to help companies adopt AI without having to build and maintain their own infrastructure. By including Qwen3 and DeepSeek V3, AWS is expanding the choice available to developers and enterprises looking to integrate state-of-the-art AI into their workflows.
Alibaba’s Qwen3 is the latest in its series of large language models, designed to handle multiple modalities and provide strong performance in text understanding, code generation, and reasoning tasks. Known for its multilingual capabilities, Qwen3 has attracted attention in Asia and globally as a viable alternative to models developed in the US. DeepSeek V3, developed by Chinese startup DeepSeek, is another large language model that has shown improvements in efficiency and accuracy, particularly in natural language processing and conversational applications.
With the inclusion of these models, AWS Bedrock now offers a broader range of capabilities for businesses across industries. Organizations can use them to power chatbots, enhance search functionality, generate content, and improve decision-making processes. Analysts note that this move reflects AWS’s strategy of being model-agnostic, providing access to a wide array of AI systems so customers can choose the most suitable one for their needs.
Industry experts suggest that the collaboration also highlights the increasing globalization of AI development. While US-based models like Anthropic’s Claude or OpenAI’s GPT dominate many markets, models from China are rapidly emerging as credible alternatives. AWS’s decision to onboard Qwen3 and DeepSeek V3 underscores its recognition of customer demand for variety and its willingness to integrate international AI talent into its offerings.
For enterprises, this means greater flexibility to test, evaluate, and adopt models based on performance, cost, and compliance factors. By eliminating the need to commit to a single provider, AWS positions Bedrock as a marketplace of AI capabilities, where businesses can choose from leading global models depending on their use cases.
The expansion also comes at a time when organizations are increasingly concerned with balancing innovation and control. By offering managed AI services, AWS enables customers to avoid the complexity of training models from scratch, while maintaining oversight of how AI is deployed in their environments. This approach is especially valuable for companies in regulated industries, which face stringent requirements around data use and compliance.
Market observers believe the move could intensify competition among cloud providers. Google Cloud, Microsoft Azure, and other rivals have also been expanding their AI portfolios, adding partnerships with different model developers. AWS’s latest update signals its intent to remain a central hub for generative AI, offering clients access to both Western and Asian innovations.
The integration of Qwen3 and DeepSeek V3 is also expected to help developers scale AI projects faster. The managed environment of Bedrock reduces the technical barriers to entry, enabling smaller businesses to access sophisticated AI tools without heavy upfront investment. At the same time, larger enterprises can experiment with multiple models to determine which best suits their operational needs.
As demand for generative AI accelerates, the ability to choose among diverse models is likely to become a key differentiator in cloud services. AWS’s expansion of Bedrock reflects an industry-wide recognition that no single model will meet all requirements, and that flexibility will drive adoption.