Qwen3 Max Thinking (Preview)

Qwen3-Max-Thinking (Preview) is a large-scale reasoning model developed by Alibaba, released in January 2026 as the flagship reasoning variant of the Qwen3 series. Built on a Mixture of Experts (MoE) architecture featuring over 1 trillion parameters, the model was trained on 36 trillion tokens to handle complex instruction following and advanced cognitive tasks. It is specifically designed for high-precision problem-solving, achieving perfect scores in technical benchmarks such as the AIME 2025 and HMMT mathematics competitions.

The model introduces Test-Time Scaling technology, which allows it to allocate additional computational resources during the inference phase to enhance reasoning depth. This mechanism enables the model to iteratively refine its logical steps and resolve uncertainties before producing a final output. Furthermore, it incorporates Adaptive Tool-Use, allowing the system to autonomously select and invoke built-in search, memory, and code interpreter functions during a conversation to improve factual accuracy and real-time knowledge retrieval.

Qwen3-Max-Thinking supports a 128,000-token context window and is optimized for multilingual understanding across more than 100 languages. It emphasizes step-by-step transparency in its reasoning process, providing a "thinking" mode for auditability in complex workflows. The model is designed for high-end applications where accuracy, traceability, and complex logic are prioritized.