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Qwen 3.5 397B is Alibaba's flagship open-source language model with 397 billion parameters, offering tool calling and a 128K token context window.
Prices updated daily. Last check: Sep 6, 2026
Qwen 3.5 397B is designed for organizations requiring a flagship-tier model with local deployment capabilities. Its 397B parameter scale makes it suitable for complex reasoning tasks, multi-step problem solving, and sophisticated code generation where model capability is prioritized over inference speed. The open-source nature makes it valuable for research institutions, enterprises with strict data privacy requirements, and developers building custom AI applications that need fine-tuning capabilities. The tool calling feature enables agentic workflows and integration with existing software systems, while the substantial parameter count supports demanding applications like advanced mathematical reasoning, complex document analysis, and multi-turn coding assistance.
Qwen 3.5 397B pricing varies by provider and deployment method, with some offering hosted API access while others provide infrastructure for self-hosting the open-source model. Check the pricing table above for current rates across all available providers.
Qwen 3.5 397B excels at complex reasoning tasks, advanced code generation, and multi-step problem solving where its 397B parameter scale provides advantages. It's particularly valuable for organizations needing flagship-tier capabilities with local deployment options, research applications requiring model customization, and agentic workflows leveraging its tool calling features.
Running Qwen 3.5 397B requires substantial GPU memory due to its 397 billion parameters. The exact requirements depend on precision (FP16, INT8, etc.) and serving configuration, but expect to need multiple high-memory GPUs or specialized inference hardware for practical deployment speeds.