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Model details
Qwen Plus
Qwen Plus sits within Alibaba's Tongyi Qianwen series of large language models, developed by the group's xAI team on a Transformer architecture that supports multilingual processing in Chinese and English. The model is positioned as an advanced-tier offering alongside lighter and faster siblings, and is typically accessed through the Tongyi Model Studio API rather than as a downloadable open-weight checkpoint, which fits its role as a commercially hosted flagship service. As part of the broader Qwen family, it benefits from ongoing research that produced the dense decoder-only Qwen2.5 line of foundation models, giving the Plus variant a lineage rooted in scalable pretraining and continual post-training refinement.
In practical use, Qwen Plus is designed to handle complex tasks such as mathematical reasoning, code generation, and structured data work, with built-in support for JSON-format output and tool calling that make it suitable for agent-style and retrieval-augmented applications. Context handling is a defining strength: the model ships with a default context length around 32k tokens, while extended versions stretch that window to 128k tokens and, in select deployments, up to the cataloged API limit tokens for long-document and codebase scenarios. This combination of long-context capability, multilingual fluency, and structured-output tooling makes Qwen Plus a flexible choice for organizations that need a single model to cover both conversational assistants and more demanding analytical or development workflows.
Quick Info
Powered by- Provider
- Kilo Gateway
- Model key
- qwen/qwen-plus
- Release date
- Jan 25, 2024
- Last updated
- Sep 11, 2025
- Knowledge cutoff
- 2024-04
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $0.26
- Output token cost
- $0.78
Limits
- Output tokens
- 32,768 tokens
- Context window
- 1,000,000 tokens
Transparent token rates
Compare Qwen Plus pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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