Qwen3.6 35B A3B
qwen3.6-35b-a3bCompare qwen3.6-35b-a3b API pricing, supported endpoints, capabilities and access options on Modelsell.
- Starting price
- Input / Output · 1M
- Context
- 262.1K
- Maximum input window
- Max output
- 235.9K
- Maximum tokens per response
- Modalities
- →
Pricing by Supplier
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 35B A3B
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 35B A3B
结合界面与代码推进开发
Qwen3.6-35B-A3B 适合前端实现、仓库问题分析和多步开发任务。它能阅读需求与代码，也能理解图片和视频，帮助把界面截图中的现象联系到组件、状态和交互流程。例如根据设计稿提出页面结构，比较实现截图中的间距与信息层级，或结合错误日志分析某个操作为什么没有达到预期。
处理项目问题时，提供相关目录、已有组件约定和可复现步骤，比只问“帮我修好”更容易得到可执行建议。可以先让模型缩小需要查看的文件范围，再根据文件内容生成修改，随后把运行结果传回，继续调整。它输出代码和文字；文件读写、命令执行及浏览器检查由接入的工具完成。
怎样支持连续多轮任务？
模型支持工具调用，可由智能体提供检索文件、运行检查等功能。工具定义要说明参数与返回内容，并把实际结果保留在对话中，使后续判断能够依据新证据。它还具备保留历史思考上下文的能力，适合多轮迭代；应用需要维护对应会话内容，这不等于模型会自动记住其他会话或持续训练。
默认思考模式适合代码推理和方案比较，直接改写、简单问答等任务可通过参数关闭思考。不要依赖在提示词中添加 /think 或 /nothink 来切换。复杂修改应分成可检查的小步，并以运行结果、页面表现和验收条件判断是否完成。
Use cases and prompting
例如处理前端筛选故障，提供相关组件、请求代码、报错信息和操作录像后输入：
“筛选条件已变化，但列表仍显示旧结果。请沿‘筛选状态—请求参数—响应更新—列表渲染’检查现有代码，指出证据最充分的原因。先给最小修改，再说明需要验证的操作；复用已有组件与样式，不扩展到无关页面。”
如配置了文件和执行工具，让模型读取真实文件，并将检查结果继续传入；只有建议文本时，将修改与命令交由开发环境执行。百炼请求可用 enable_thinking=false 关闭思考；简单任务不必依靠文字指令强行要求省略推理。
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 qwen3.6-35b-a3b
What is qwen3.6-35b-a3b?
Compare qwen3.6-35b-a3b API pricing, supported endpoints, capabilities and access options on Modelsell.
How do I call qwen3.6-35b-a3b?
Create an API key with access to qwen3.6-35b-a3b, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is qwen3.6-35b-a3b 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 qwen3.6-35b-a3b?
The model catalog lists a context window of 262144 tokens. Check the selected endpoint for request limits.
What is the maximum output of qwen3.6-35b-a3b?
The model catalog lists a maximum output of 235929 tokens. Your request settings may set a lower limit.
How should I evaluate qwen3.6-35b-a3b for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.