Qwen3.5-Plus Description
Qwen3.5-Plus is an advanced multimodal foundation model engineered to deliver efficient large-context reasoning across text, image, and video inputs. Powered by a hybrid architecture that merges linear attention mechanisms with a sparse mixture-of-experts framework, the model achieves state-of-the-art performance while reducing computational overhead. It supports deep thinking mode, enabling extended reasoning chains of up to 80K tokens and total context windows of up to 1 million tokens. Developers can leverage features such as structured output generation, function calling, web search, and integrated code interpretation to build intelligent agent workflows. The model is optimized for high throughput, supporting large token-per-minute limits and robust rate limits for enterprise-scale applications. Qwen3.5-Plus also includes explicit caching options to reduce costs during repeated inference tasks. With tiered pricing based on input and output tokens, organizations can scale usage predictably. OpenAI-compatible API endpoints make integration straightforward across existing AI stacks and developer tools. Designed for demanding applications, Qwen3.5-Plus excels in long-document analysis, multimodal reasoning, and advanced AI agent development.
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Pricing
Pricing Starts At:
$0.4 per 1M tokens
Pricing Information:
Input: $0.4 per 1M tokens
Output: $2.4 per 1M tokens
Output: $2.4 per 1M tokens
Company Details
Company:
Alibaba
Year Founded:
1999
Headquarters:
China
Website:
qwen.ai
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Qwen3.5-Plus Features and Options
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