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The Alibaba Qwen team has launched the new Qwen3-4B series model, including two versions: Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507. This release marks a significant breakthrough in small language model (SLM) technology, opening up new development paths for AI applications on mobile devices.
The newly released models are characterized by an optimized balance between performance and size. Despite having a relatively small parameter count, these models can efficiently run on smartphones and other mobile devices, effectively solving the high hardware resource dependency issue of traditional large models.
In terms of technical specifications, Qwen3-4B-Instruct-2507 has made significant progress in general capabilities. The model has stronger instruction understanding and execution capabilities, with significantly improved response speed, making it particularly suitable for practical application scenarios such as content creation and tool invocation. Notably, the model's context processing capability has been extended to 256K, allowing it to handle long text tasks, which is outstanding among models of similar scale.
Performance comparison data shows that Qwen3-4B-Instruct-2507 has surpassed the performance level of the closed-source small model GPT-4.1-nano and is close to the capabilities of the large-scale model Qwen3-30B-A3B (non-inference version) from the same brand. This achievement provides strong technical support for AI applications on mobile devices.
In terms of professional reasoning ability, Qwen3-4B-Thinking-2507 demonstrates excellent performance. The model achieved a high score of 81.3 in the authoritative mathematical reasoning evaluation AIME25, demonstrating strong mathematical and logical reasoning capabilities. This result is comparable to that of the medium-sized Qwen3-30B-Thinking model, proving the potential of small models in solving complex problems.
From an industrial development perspective, the release of the Qwen3-4B series holds significant importance for the development of Agentic AI (intelligent agent) technology. As models become lighter and performance improves, AI assistants can be better integrated into various mobile applications, providing users with more convenient intelligent service experiences.
This technological advancement reflects an important trend in the current AI industry: while continuously pursuing improvements in model capabilities, how to achieve maximum resource efficiency has become a key technical challenge. The breakthroughs made by Alibaba Qwen in small and efficient models provide valuable technical references for the entire industry.
For ordinary users, this means that in the future, they will be able to enjoy AI services close to those of large models on their personal mobile devices without relying on cloud computing resources, which will significantly improve user experience and reduce usage costs.
