The latest advancements from tech giants like OpenAI, Anthropic, and Google are impressive. However, their size presents a significant limitation, as users can only access these models via their proprietary chatbots. In stark contrast, Alibaba has recently entered the arena with an intriguing development: the “Qwen 3.5 Small Models,” featuring four variants designed for efficiency and accessibility.<\/p>\n
Alibaba’s Qwen 3.5 lineup includes models with parameters as follows:<\/p>\n
In comparison, the latest models from major competitors are estimated to have parameters in the hundreds of billions, making Alibaba’s smaller offering particularly noteworthy.<\/p>\n
Models Qwen3.5-0.8B and Qwen3.5-2B are optimized for deployment on modest devices, prioritizing battery efficiency. Meanwhile, the Qwen3.5-4B model boasts multimodal capabilities, recognizing input from both text and images and supporting an impressive context window of 262,144 tokens. With a size under 3 GB in its 4-bit quantized version, it can even function on mobile devices.<\/p>\n
The star of Alibaba’s smaller models, Qwen3.5-9B, is a reasoning model that reportedly surpasses the capabilities of the much larger gpt-oss-120B from OpenAI. This model is available through open weights on platforms like Hugging Face<\/a> and ModelScope<\/a>.<\/p>\n Alibaba’s models leverage an Efficient Hybrid Architecture<\/strong>, which synergies innovative attention algorithms known as Gated Delta Networks<\/strong> with the established Mixture-of-Experts (MoE)<\/strong> framework. This design effectively circumvents the “memory wall” issue that often plagues smaller models.<\/p>\n Benchmark tests reveal that Qwen3.5-4B and Qwen3.5-9B perform exceptionally well, especially in multimodal tests. For instance, Qwen3.5-9B outperformed the Gemini 2.5 Flash lite in the MMMU-Pro visual reasoning test and bested the gpt-oss-120B in the GPQA reasoning test. AI expert Paul Couvert noted that Qwen3.5-4B matches the output quality of previously acclaimed larger models, thereby bridging the gap between size and performance.<\/p>\n These models stand out for their ability to run on everyday devices such as laptops and smartphones, which implies accessibility for a broader audience. Users can enjoy the privacy and security of offline operation, as their data wouldn\u2019t be sent to the cloud, thereby ensuring conversations remain confidential.<\/p>\n In the West, only Google appears to be exploring the realm of smaller models, exemplified by its Gemma 3 270M released in August 2025. Microsoft has also introduced its Phi-4<\/strong>, though wider interest seems limited. Startups like Liquid are beginning to develop smaller models, but Alibaba currently leads the pack in the small AI model sector.<\/p>\n In conclusion, while large AI models dominate the conversation, Alibaba\u2019s Qwen 3.5 Small Models present a promising alternative, poised to democratize access to highly capable AI.<\/p>\nA New Approach to AI Architecture<\/h3>\n
Promising Returns<\/h3>\n
Models for Everyone<\/h3>\n
The Competitive Landscape<\/h3>\n