Model overview
Qwen 3.6 Plus builds on a hybrid architecture that combines efficient linear attention with sparse mixture-of-experts routing, enabling strong scalability and high-performance inference. Compared to the 3.5 series, it delivers...
The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.
Key features
- 采用混合架构，融合高效线性注意力与稀疏专家混合（MoE）路由机制
- 支持超长上下文（1,000,000 tokens）
- 多模态输入能力：支持文本、图像、视频输入，输出为文本
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| OpenRouter · qwen/qwen3.6-plus ↗ | USD 0.325 | USD 1.95 | Per million tokens | 2026/11/2 06:25:23 |
OpenRouter · qwen/qwen3.6-plus · 阶梯定价
[
{
"min_prompt_tokens": 256000,
"prompt": "0.0000013",
"completion": "0.0000039",
"input_cache_write": "0.000001625"
}
]Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Qwen3.6 Plus 是否支持多模态输出？
不支持；根据资料，其输出类型仅限于文本。
该模型的上下文长度具体是多少？
上下文长度为 1,000,000 tokens。
它是否具备工具调用或结构化输出能力？
是的，标签中明确包含 'structured_outputs' 和 'tools'，表明支持结构化输出与工具调用能力。
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：来源未披露，须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。