Amazon Bedrock 现已推出 Anthropic 的 Claude 3.7 Sonnet 模型，这是 Anthropic 迄今为止最智能的模型。Claude 3.7 Sonnet 具有混合推理能力，能够快速响应或进行深入思考，解决复杂问题。它在编码方面表现出色，支持更长的输出长度，并提供可调节的推理预算，允许用户在速度、成本和性能之间进行权衡。该模型已集成到 Amazon Q Developer 中，帮助开发者加速软件开发。

🧠 **混合推理能力：** Claude 3.7 Sonnet 采用混合推理方式，将快速应答和解决复杂问题的能力整合到单个模型中，更接近人类的思考方式。它提供标准模式和扩展思考模式，用户可以根据需要选择。

💻 **编码能力卓越：** Claude 3.7 Sonnet 在编码方面表现出色，擅长理解上下文和创造性解决问题。在 SWE-bench Verified 标准模式下，它的准确率达到 70.3%，超越了之前的 Claude 3.5 Sonnet 模型，适用于构建 AI 代理和复杂工作流程。

📏 **更长的输出容量：** 与 Claude 3.5 Sonnet 相比，Claude 3.7 Sonnet 提供了显著增加的输出长度，支持高达 128K tokens 的输出（一般可用 64K，Beta 测试可达 128K）。这使得模型能够提供更详细的解释、多个例子，以及更多的背景信息。

💰 **可调节的推理预算：** 在 Amazon Bedrock 中使用 Claude 3.7 Sonnet 时，用户可以控制推理预算。通过为复杂问题分配更多 tokens 或限制 tokens 以加快响应速度，可以优化性能，从而在速度、成本和性能之间取得平衡。

<section class="blog-post-content lb-rtxt"><table><tbody><tr><td><p></p></td></tr></tbody></table><p><a href="https://aws.amazon.com/bedrock/&quot;&gt;Amazon Bedrock</a> is expanding its foundation model (FM) offerings as the generative AI field evolves. Today, we’re excited to announce the availability of Anthropic’s <a href="https://www.anthropic.com/news/claude-3-7-sonnet?utm_source=partner-aws&amp;amp;utm_medium=referral&amp;amp;utm_campaign=sonnet_3-7_launch&quot;&gt;Claude 3.7 Sonnet</a> foundation model in Amazon Bedrock. As Anthropic’s most intelligent model to date, Claude 3.7 Sonnet stands out as their first hybrid reasoning model capable of producing quick responses or <em>extended thinking</em>, meaning it can work through difficult problems using careful, step-by-step reasoning. Additionally, today we are adding Claude 3.7 Sonnet to the list of models used by <a href="https://aws.amazon.com/q/developer/&quot;&gt;Amazon Q Developer</a>. Amazon Q is built on Bedrock, and with Amazon Q you can use the most appropriate model for a specific task such as Claude 3.7 Sonnet, for more advanced coding workflows that enable developers to accelerate building across the entire software development lifecycle.</p><p><strong>Key highlights of Claude 3.7 Sonnet</strong><br />Here are several notable features and capabilities of Claude 3.7 Sonnet in Amazon Bedrock.</p><p><strong>The first Claude model with hybrid reasoning –</strong> Claude 3.7 Sonnet takes a different approach to how models think. Instead of using separate models—one for quick answers and another for solving complex problems—Claude 3.7 Sonnet integrates reasoning as a core capability within a single model. This combination is more similar to how the human brain works. After all, we use the same brain whether we’re answering a simple question or solving a difficult puzzle.</p><p>The model has two modes—<em>standard</em> and <em>extended thinking</em> mode—which can be toggled in Amazon Bedrock. In <em>standard</em> mode, Claude 3.7 Sonnet is an improved version of Claude 3.5 Sonnet. In <em>extended thinking</em> mode, Claude 3.7 Sonnet takes additional time to analyze problems in detail, plan solutions, and consider multiple perspectives before providing a response, allowing it to make further gains in performance. You can control speed and cost by choosing when to use reasoning capabilities. Extended thinking tokens count towards the context window and are billed as output tokens.</p><p><strong>Anthropic’s most powerful model for coding</strong> – Claude 3.7 Sonnet is state-of-the art for coding, excelling in understanding context and creative problem solving, and according to Anthropic, achieves an industry-leading 70.3% for <em>standard</em> mode on <a href="https://www.swebench.com/#verified&quot;&gt;SWE-bench Verified</a>. Claude 3.7 Sonnet also performs better than Claude 3.5 Sonnet across the majority of benchmarks. These enhanced capabilities make Claude 3.7 Sonnet ideal for powering AI agents and complex workflows.</p><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/02/24/3-7_benchmarks.png&quot;&gt;&lt;img class="alignnone size-full wp-image-93681" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/02/24/3-7_benchmarks.png&quot; alt="Claude 3.7 Sonnet benchmarks" width="2800" height="2292" /></a></p><p><em>Source: <a href="https://www.anthropic.com/news/claude-3-7-sonnet&quot;&gt;https://www.anthropic.com/news/claude-3-7-sonnet&lt;/a&gt;&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Over 15x longer output capacity than its predecessor</strong> – Compared to <a href="https://aws.amazon.com/blogs/aws/anthropics-claude-3-5-sonnet-model-now-available-in-amazon-bedrock-the-most-intelligent-claude-model-yet/&quot;&gt;Claude 3.5 Sonnet</a>, this model offers significantly expanded output length. This enhanced capacity is particularly useful when you explicitly request more detail, ask for multiple examples, or request additional context or background information. To achieve long outputs, try asking for a detailed outline (for writing use cases, you can specify outline detail down to the paragraph level and include word count targets). Then, ask for the response to index its paragraphs to the outline and reiterate the word counts. Claude 3.7 Sonnet supports outputs up to 128K tokens long (up to 64K as generally available and up to 128K as a beta).</p><p><strong>Adjustable reasoning budget –</strong> You can control the budget for thinking when you use Claude 3.7 Sonnet in Amazon Bedrock. This flexibility helps you weigh the trade-offs between speed, cost, and performance. By allocating more tokens to reasoning for complex problems or limiting tokens for faster responses, you can optimize performance for your specific use case.</p><p><strong>Claude 3.7 Sonnet in action</strong><br />As for any new model, I have to request access in the <a href="https://console.aws.amazon.com/bedrock/&quot;&gt;Amazon Bedrock console</a>. In the navigation pane, I choose <strong>Model access</strong> under Bedrock configurations. Then, I choose <strong>Modify model access</strong> to request access for Claude 3.7 Sonnet.</p><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/02/24/Base-models-showing-3-7-cross-region-inf.png&quot;&gt;&lt;img class="alignnone size-full wp-image-93712" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/02/24/Base-models-showing-3-7-cross-region-inf.png&quot; alt="Base-models-showing-3-7-cross-region-inference" width="1557" height="669" /></a></p><p>To try Claude 3.7 Sonnet, I choose <strong>Chat / Text</strong> under <strong>Playgrounds</strong> in the navigation pane. Then I choose <strong>Select model</strong> and choose <strong>Anthropic</strong> under the <strong>Categories</strong> and <strong>Claude 3.7 Sonnet</strong> under the <strong>Models</strong>. To enable the <em>extended thinking</em> mode, I toggle <strong>Model reasoning</strong> under <strong>Configurations</strong>. I type the following prompt, and choose <strong>Run</strong>:</p><pre class="lang-plain text">You're the manager of a small restaurant facing these challenges:Three staff members called in sick for tonight's dinner serviceYou're expecting a full house (80 seats)There's a large party of 20 coming at 7 PMYour main chef is available but two kitchen helpers are among those who called in sickYou have 2 regular servers and 1 trainee availableHow would you:Reorganize the available staff to handle the situationPrioritize tasks and serviceDetermine if you need to make any adjustments to reservationsHandle the large party while maintaining service qualityMinimize negative impact on customer experienceExplain your reasoning for each decision and discuss potential trade-offs</pre><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/02/22/2-LM1517.png&quot;&gt;&lt;br /></a><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/02/22/2-LM1517.png&quot;&gt;&lt;img class="aligncenter wp-image-93667 size-full" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/02/22/2-LM1517.png&quot; alt="Chat / Text playground" width="1924" height="991" /></a></p><p>Here’s the result with an animated image showing the reasoning process of the model.</p><p><img class="alignnone size-full" src="https://d2908q01vomqb2.cloudfront.net/artifacts/AWSNews/2025/LaunchMarketingIntake-1517.gif&quot; alt="Testing Claude 3.7 Sonnet reasoning" width="1920" height="1080" /></p><p>To test image-to-text vision capabilities, I upload an image of a detailed architectural site plan created using Amazon Bedrock. I receive a detailed analysis and reasoned insights of this site plan.</p><p><a href="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/02/23/output2-LM1517.gif&quot;&gt;&lt;img class="alignnone size-full wp-image-93676" src="https://d2908q01vomqb2.cloudfront.net/da4b9237bacccdf19c0760cab7aec4a8359010b0/2025/02/23/output2-LM1517.gif&quot; alt="" width="960" height="540" /></a></p><p>Claude 3.7 Sonnet can also be accessed through <a href="https://aws.amazon.com/developer/tools/&quot;&gt;AWS SDK</a> by using <a href="https://docs.aws.amazon.com/bedrock/latest/APIReference/welcome.html&quot;&gt;Amazon Bedrock API</a>. To learn more about Claude 3.7 Sonnet’s features and capabilities, visit the <a href="https://aws.amazon.com/bedrock/claude/&quot;&gt;Anthropic’s Claude in Amazon Bedrock</a> product detail page.</p><p><strong>Get started with Claude 3.7 Sonnet today</strong><br />Claude 3.7 Sonnet’s enhanced capabilities can benefit multiple industry use cases. Businesses can create advanced AI assistants and agents that interact directly with customers. In fields such as healthcare, it can assist in medical imaging analysis and research summarization, and financial services can benefit from its abilities to solve complex financial modeling problems. For developers, it serves as a coding companion that can review code, explain technical concepts, and suggest improvements across different languages.</p><p>Anthropic’s Claude 3.7 Sonnet is available today in the US East (N. Virginia), US East (Ohio), and US West (Oregon) Regions. Check the <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/models-regions.html&quot;&gt;full Region list</a> for future updates.</p><p>Claude 3.7 Sonnet is priced competitively and matches the price of Claude 3.5 Sonnet. For pricing details, refer to the <a href="https://aws.amazon.com/bedrock/pricing/&quot;&gt;Amazon Bedrock pricing page</a>.</p><p>To get started with Claude 3.7 Sonnet in Amazon Bedrock, visit the <a href="https://console.aws.amazon.com/bedrock/&quot;&gt;Amazon Bedrock console</a> and <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html#acessing-api&quot;&gt;Amazon Bedrock documentation</a>.</p><a href="https://www.linkedin.com/in/esrakayabali/&quot;&gt;— Esra</a><p><em>2/24/2025: Base models screenshot updated.</em></p></section><aside class="blog-comments"><div data-lb-comp="aws-blog:cosmic-comments" data-env="prod" data-content-id="1b428006-bb21-4e78-b95a-150ce150c971" data-title="Anthropic’s Claude 3.7 Sonnet hybrid reasoning model is now available in Amazon Bedrock" data-url="https://aws.amazon.com/blogs/aws/anthropics-claude-3-7-sonnet-the-first-hybrid-reasoning-model-is-now-available-in-amazon-bedrock/&quot;&gt;&lt;p data-failed-message="Comments cannot be loaded… Please refresh and try again.">Loading comments…</p></div></aside>