The model demonstrates superior performance in benchmarks and real-world applications, ranking third globally on text leaderboards and surpassing even GPT-5-Chat in several metrics. It delivers enhanced programming abilities, including code generation and debugging, which are verified by the SWE-Bench score of 69.6, indicating significant improvements in software engineering tasks. With a focus on instruction following and agent functions, Qwen3-Max efficiently supports tool calling and retrieval-augmented generation workloads, making it suitable for industrial production use through high-throughput, low-latency API access. Its strong multilingual support, including excellent Chinese language understanding, broadens its usability across diverse language contexts.
Qwen3-Max is accessible primarily through API platforms such as Alibaba Cloud Model Studio and Qwen Chat, as it is a closed-source model not available for local deployment. API pricing is tiered by token usage, with input tokens starting at approximately $0.861 per million tokens and output tokens priced around $3.441 per million tokens, scaling up with higher token usage. The model ecosystem also includes multiple related versions like Qwen3-Max-Instruct and Qwen3-Max-Thinking, each optimized for different task complexities, such as daily conversations, deep reasoning, and mathematical computations. With ongoing updates and planned expansions in multimodal capabilities, Qwen3-Max is positioned to support enterprise applications and research needs across various domains.
