本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。

# Qwen3 Coder 下一篇
<a name="model-card-qwen-qwen3-coder-next"></a>

## ![\[alt text not found\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/models/qwen.png)Qwen — Qwen3 Coder Next
<a name="model-card-qwen-qwen3-coder-next-header"></a>

## 模型详细信息
<a name="model-card-qwen-qwen3-coder-next-details"></a>

Qwen3 Coder Next 是 Qwen 的编码模型，具有改进的代码生成、调试和软件工程功能。有关模型开发和性能的更多信息，请参阅[模型/服务](https://qwen.ai/blog?id=qwen3-coder)卡片。
+ **模型发布日期：**2026 年 2 月 4 日
+ **型号停产日期：N/** A
+ **最终用户许可协议和使用条款：**[查看](https://aws.amazon.com/legal/bedrock/third-party-models/)
+ **模型生命周期：**活跃
+ **上下文窗口：**12.8 万个代币
+ **最大输出代币：**16K


| **输入模式** | **输出模式** | **[APIs 支持的](https://docs.aws.amazon.com/bedrock/latest/userguide/apis.html)** | **[支持的终端节点](https://docs.aws.amazon.com/bedrock/latest/userguide/endpoints.html)** | 
| --- | --- | --- | --- | 
| ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png)音频 | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png)嵌入 | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png) Responses | ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png) bedrock-runtime | 
| ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png)图片 | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png)图片 | ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png) Chat Completions | ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png) bedrock-mantle | 
| ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png)演讲 | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png)演讲 | ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png) Invoke |  | 
| ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png)文本 | ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png)文本 | ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png) Converse |  | 
| ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png)视频 | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png)视频 |  |  | 

**注意**  
只要有可能，我们建议您使用`bedrock-mantle`终端节点。

## 功能和特点
<a name="model-card-qwen-qwen3-coder-next-capabilities"></a>

***基岩特征***

**使用`bedrock-mantle`端点支持的功能**


| **支持的** | **不支持** | 
| --- | --- | 
|  [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/model-card-qwen-qwen3-coder-next.html)  |  [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/model-card-qwen-qwen3-coder-next.html)  | 

**使用`bedrock-runtime`端点支持的功能**


| **支持的** | **不支持** | 
| --- | --- | 
|  [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/model-card-qwen-qwen3-coder-next.html)  |  [\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/model-card-qwen-qwen3-coder-next.html)  | 

## 定价
<a name="model-card-qwen-qwen3-coder-next-pricing"></a>

有关定价，请参阅 [Amazon Bedrock 定价](https://aws.amazon.com/bedrock/pricing/)页面。

## 以编程方式访问
<a name="model-card-qwen-qwen3-coder-next-programmatic-access"></a>

使用以下模型 IDs 和端点 URLs 以编程方式访问此模型。有关可用 APIs 和终端节点的更多信息，请参阅[APIs 支持的和支持的](https://docs.aws.amazon.com/bedrock/latest/userguide/apis.html)[终端节点](https://docs.aws.amazon.com/bedrock/latest/userguide/endpoints.html)。


| **Endpoint** | **型号标识** | **区域内终端节点 URL** | **地理推理 ID** | **全局推理 ID** | 
| --- | --- | --- | --- | --- | 
| bedrock-runtime | qwen.qwen3-coder-next | https://bedrock-runtime.\$1region\$1.amazonaws.com | 不支持 | 不支持 | 
| bedrock-mantle | qwen.qwen3-coder-next | https://bedrock-mantle.\$1region\$1.api.aws/v1 | 不支持 | 不支持 | 

*例如，如果区域为 us-east-1（弗吉尼亚北部），则基岩运行时端点 URL 将为 “”，基岩地幔的终端节点 URL 将https://bedrock-runtime.us-east-1.amazonaws.com为” https://bedrock-mantle.us-east-1.api.aws/v1 “。*

## 服务等级
<a name="model-card-qwen-qwen3-coder-next-tiers"></a>

Amazon Bedrock 提供多个服务等级，以满足您的工作负载要求。**标准版**提供 pay-per-token访问权限，无需任何承诺。P@@ **ri** ority 通过基于时间的承诺提供更高的吞吐量。**Flex** 为灵活 non-time-sensitive的工作负载提供更低成本的访问权限。Reserved 为可预测的工作负载提供@@ **专用**吞吐量和定期承诺。有关更多信息，请参阅[服务等级](https://docs.aws.amazon.com/bedrock/latest/userguide/service-tiers-inference.html)。


| **Standard** | **优先级** | **Flex** | **已保留** | 
| --- | --- | --- | --- | 
| ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png) | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png) | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png) | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png) | 

## 区域可用性
<a name="model-card-qwen-qwen3-coder-next-regional-availability"></a>

***地区供应情况一览***

Bedrock 提供三种推理选项：**区域内**将请求保留在单个区域内以严格合规；**跨地理**区域（美国、欧盟等）进行跨区域路由以提高吞吐量，同时尊重数据驻留；**全球跨区域**路由，以便在没有居住限制的情况下实现最大吞吐量。有关更多详细信息，请参阅该[区域可用性](models-region-compatibility.md)页面。


| **区域** | **区域内** | **Geo** | **Global** | 
| --- | --- | --- | --- | 
| us-east-1（弗吉尼亚北部） | ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png) | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png) | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png) | 
| eu-west-2（伦敦） | ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png) | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png) | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png) | 
| ap-southeast-2（悉尼） | ![\[Yes\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-yes.png) | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png) | ![\[No\]](http://docs.aws.amazon.com/zh_cn/bedrock/latest/userguide/images/icons/icon-no.png) | 

## 配额和限制
<a name="model-card-qwen-qwen3-coder-next-quotas"></a>

您的 AWS 账户具有默认配额，用于维持服务性能并确保适当使用 Amazon Bedrock。分配给账户的默认配额可能会根据地区因素、付款历史记录、欺诈性使用情况、[增加配额请求](https://docs.aws.amazon.com/bedrock/latest/userguide/quotas-increase.html)的 and/or 批准而更新。有关更多详细信息，请参阅[Amazon Bedrock 的配额](quotas.md)文档并查看该模型的[限制](https://docs.aws.amazon.com/general/latest/gr/bedrock.html#limits_bedrock)。

## 示例代码
<a name="model-card-qwen-qwen3-coder-next-sample-code"></a>

**第 1 步-AWS 账户：**如果您已有 AWS 账户，请跳过此步骤。如果您不熟悉 AWS，请注册一个 A [WS 账户](https://portal.aws.amazon.com/billing/signup)。

**第 2 步-API 密钥：**前往 [Amazon Bedrock 控制台](https://console.aws.amazon.com/bedrock/home#/api-keys/long-term/create)生成长期 API 密钥。

**第 3 步-获取 SDK：**要使用本入门指南，必须已安装 Python。然后根据 APIs 您使用的软件安装相关软件。

------
#### [ Responses/Chat Completions API ]

```
pip install boto3 openai
```

------
#### [ Invoke/Converse API ]

```
pip install boto3
```

------

**第 4 步-设置环境变量：**将您的环境配置为使用 API 密钥进行身份验证。

------
#### [ Responses/Chat Completions API ]

```
OPENAI_API_KEY="<provide your Bedrock API key>"
OPENAI_BASE_URL="https://bedrock-mantle.<your-region>.api.aws/v1"
```

------
#### [ Invoke/Converse API ]

```
AWS_BEARER_TOKEN_BEDROCK="<provide your Bedrock API key>"
```

------

**第 5 步-运行您的第一个推理请求：**将文件另存为 `bedrock-first-request.py`

------
#### [ Responses API ]

```
from openai import OpenAI

client = OpenAI()

response = client.responses.create(
    model="qwen.qwen3-coder-next",
    input="Can you explain the features of Amazon Bedrock?"
    )
print(response)
```

------
#### [ Chat Completions API ]

```
from openai import OpenAI

client = OpenAI()

response = client.chat.completions.create(
    model="qwen.qwen3-coder-next",
    messages=[{"role": "user", "content": "Can you explain the features of Amazon Bedrock?"}]
    )
print(response)
```

------
#### [ Invoke API ]

```
import json
import boto3

client = boto3.client('bedrock-runtime', region_name='us-east-1')
response = client.invoke_model(
    modelId='qwen.qwen3-coder-next',
    body=json.dumps({
            'messages': [{ 'role': 'user', 'content': 'Can you explain the features of Amazon Bedrock?'}],
            'max_tokens': 1024
    })
 )
 print(json.loads(response['body'].read()))
```

------
#### [ Converse API ]

```
import boto3

client = boto3.client('bedrock-runtime', region_name='us-east-1')
response = client.converse(
    modelId='qwen.qwen3-coder-next',
    messages=[
        {
            'role': 'user',
            'content': [{'text': 'Can you explain the features of Amazon Bedrock?'}]
        }
    ]
)
print(response)
```

------