Qwen3.6 Plus
qwen3.6-plusCompare qwen3.6-plus API pricing, supported endpoints, capabilities and access options on Modelsell.
- Starting price
- Input / Output · 1M
- Context
- 1M
- Maximum input window
- Max output
- 65.5K
- Maximum tokens per response
- Modalities
- →
Pricing by Supplier
| Input/ 1M tokens | Output/ 1M tokens | Cache Read/ 1M tokens |
|---|---|---|
$0.282 | $1.692 | $0.0282 |
- Input/ 1M tokens
- $0.282
- Output/ 1M tokens
- $1.692
- Cache Read/ 1M tokens
- $0.0282
| Input/ 1M tokens | Output/ 1M tokens | Cache Read/ 1M tokens |
|---|---|---|
$0.282 | $1.692 | $0.0282 |
- Input/ 1M tokens
- $0.282
- Output/ 1M tokens
- $1.692
- Cache Read/ 1M tokens
- $0.0282
Capabilities / Supported modalities
Provider & data privacy
Qwen tokenizer (tiktoken-compat)Performance
Benchmarks
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Qwen3.6 Plus
This model is not included in the current benchmark snapshot.
Missing models or measurements are not zero scores.
Benchmark charts preserve the source model selection and reasoning settings. Missing models or measurements are not zero scores, and benchmark cost or speed is not this site’s service commitment.
About Qwen3.6 Plus
用自然语言描述，把交互想法做出来
Qwen3.6 Plus 兼具文本推理与多模态理解，适合编程、前端开发和复杂任务协作。它可以结合文字、图片与视频分析需求，再输出代码、方案或结构化结果，帮助开发者从一个想法推进到可检查的实现。
它的编程应用包括页面交互、游戏和三维场景等，也适合阅读代码库、追踪问题和调整现有功能。做交互原型时，可以描述用户能操作什么、操作后会发生什么，再提供视觉参考与技术限制。先实现关键行为，随后根据运行结果细化视觉，往往比一开始提出大量笼统审美要求更容易迭代。
图片或视频也可以用于解释现有产品：例如让它分析界面布局、梳理演示中的状态变化，再转换成组件结构与实现步骤。较长上下文有助于同时保留需求文档、相关代码和工具反馈，适合需要跨材料理解的开发任务。
模型支持思考模式、函数调用、内置工具和结构化输出。复杂推理可增加思考投入，查询与执行则需要应用启用对应工具。对于生成的交互或三维代码，最终效果要以实际运行和操作结果判断；给出目标浏览器、设备与性能要求，也能让实现更贴近使用环境。
Use cases and prompting
交互演示提示词
“请实现一个展示仓库货物流转的交互演示。用户可以切换收货、分拣、发货三个阶段，点击区域查看说明。先设计状态与组件，再用项目现有技术栈实现；关键路径要能完整操作，最后提供运行方法和逐步验收清单。”
常见问题
- 只有概念，应该怎么描述？明确用户动作、可见反馈和完成条件，再补充参考图与风格要求。
- 三维或游戏代码能直接用吗？需要在目标环境运行，检查资源加载、交互和性能，再根据结果迭代。
- 想分析现有演示视频，如何提问？指定关注的操作与状态，要求先整理过程，再生成实现建议。
API access
API documentation
Code samples
/v1/chat/completions| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
Replace <YOUR_API_KEY> with the API key from your token settings.
Authentication
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
Supported parameters
| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
Rate limits
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| Alibaba | Unlimited | Unlimited | Unlimited |
| official | Unlimited | Unlimited | Unlimited |
No restriction
Frequently asked questions about qwen3.6-plus
What is qwen3.6-plus?
Compare qwen3.6-plus API pricing, supported endpoints, capabilities and access options on Modelsell.
How do I call qwen3.6-plus?
Create an API key with access to qwen3.6-plus, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is qwen3.6-plus priced?
Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.
What is the context window of qwen3.6-plus?
The model catalog lists a context window of 1000000 tokens. Check the selected endpoint for request limits.
What is the maximum output of qwen3.6-plus?
The model catalog lists a maximum output of 65536 tokens. Your request settings may set a lower limit.
How should I evaluate qwen3.6-plus for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.