Alibaba used the older Qwen2.5-Math and Qwen2.5-Coder models to generate synthetic training data. The training took place in two phases: the first with a context length of 4K and 30 trillion ...

Qwen3’s open-weight release under an accessible license marks an important milestone, lowering barriers for developers and organizations.

Superior Reasoning: Surpasses previous Qwen models (QwQ in thinking mode and Qwen2.5 in non-thinking mode) in mathematics, coding, and logical reasoning benchmarks. Enhanced Human Alignment: Delivers ...

Large language models like ChatGPT and DeepSeek are increasingly being looked at for their potential to help make decisions ...

These were combined from the predecessor model Qwen2.5 for training. The math and coding skills were also provided using synthetic data generated by the predecessor model. There were three levels ...

Superior Reasoning: Surpasses previous Qwen models (QwQ in thinking mode and Qwen2.5 in non-thinking mode) in mathematics, coding, and logical reasoning benchmarks. Enhanced Human Alignment ...

Qwen3 models can seamlessly switch between thinking mode for complex, multi-step tasks such as mathematics ... double that of its predecessor Qwen2.5 -- Qwen3 delivers significant advancement ...

Qwen3 models can seamlessly switch between thinking mode for complex, multi-step tasks such as mathematics, coding ... dataset of 36 trillion tokens - double that of its predecessor Qwen2.5 -- Qwen3 ...

These improvements, along with others, greatly boosted Qwen3’s capabilities compared to its predecessor, Qwen2, Alibaba said ... a challenging math benchmark, and BFCL, a test for assessing ...

The flagship, Qwen3-235B-A22B, has demonstrated competitive performance in benchmarks across coding, mathematics ... the coverage of their predecessor, Qwen2.5. This broad multilingual capability ...