Claude 3.7 Sonnet: Capabilities and How to Use | Writingmate Blog

Claude 3.7 Sonnet: Capabilities and How to Use

Explore the new capabilities of Claude 3.7 Sonnet and discover how to use this powerful AI model with Writingmate.

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Author, Co-Founder & CEO

Artem Vysotsky

Reviewer, Co-Founder & CMO

Sergey Vysotsky

9 min read

Updated: 05/31/2025
Fact Checked

Hello, I am Artem and Anthropic Claude models are one of my favourites for coding, data science, visual processing and many more daily tasks. Yes, I use GPTs, Llama and Grok often as well, but the latest release of Claude 3.7 Sonnet has surprised me in (a good way) and has shown me even more use cases.

This article review of Claude Sonnet 3.7 is both for very beginners and for advanced users, and I want to share some of Claude’s new and distinguishing features. What does set it apart? What are other insights on how to use in the most effective way possible? You will learn how to apply it and improve your workflow with a smaller pricing, more features and less limits as well.

Why Claude 3.7 Sonnet?

It has a faster processing and better accuracy when comparing Claude 3.7 to Claude 3.5 Sonnet or to Claude Opus, and it enhanced language understanding while also giving you a lot more relevant responses. It is good at conversational AI as other Anthropic models, but this one is arguably a better choice for customer support, content creation and even personal assistance than a previous Claude Sonnet 3.5. In comparison, Claude 3.7 difference includes more natural interactions, a higher token limit, and improved context retention

Claude 3.7 Sonnet is better than ChatGPT-4 in many more aspects, such as:

What is Claude 3.7 Sonnet Pricing? (+API)

There are multiple ways to use new Claude 3.7 and the way you choose will also change its price. This pricing for Claude Sonnet 3.7 depends on your usage needs. For example, for token-based access via API, prices start at an affordable rate and let small and mid businesses scale their use of the AI model in accordance with any demand. For the sake of brevity, Claude 3.7 Sonnet is now available on all Claude plans as well as the Anthropic API, Amazon Bedrock, and Google Cloud’s Vertex AI.

Particularly cheap is the integration with Writingmate, where a subscription to a couple dozen of recent AI models is available for just $20 a month and with almost no limits there. This plan offers users a cost-effective way to use all of Claude Sonnet 3.7’s capabilities. This already makes advanced AI accessible without breaking the bank. More detailed original pricing information can be found on Anthropic's Pricing Page, including the latest updates and specific token costs. For users accessing Claude 3.7 free through platforms like Writingmate, it gets a lot simpler with tokens.

Generally, with a single subscription you can use Claude in any way you want in the web app with all other features included. This gives clarity on token consumption and makes sure that you still have manageable budgeting for other API calls and integrations.

Capabilities of Claude 3.7 Sonnet

After trying Claude 3.7 for my daily tasks I am sure that it is a true frontrunner in 2025 AI technologies. For me, it was useful in data interpretation and complex problem-solving, and both are very demanding niches. The Claude 3.7 Sonnet can handle intricate language structures and also offer good outputs in both business and casual settings. Whether you're drafting a report or maybe writing code, Claude Sonnet 3.7 free trials will offer a look into what it’s capable of.

By the way, I found this video about a new Sonnet particularly useful. Maybe it will be helpful to you as well:

Claude Sonnet 3.7 is the Future of Coding

How to Use Claude Sonnet 3.7

Using Claude 3.7 is straightforward. First, access it through platforms that support Anthropic's models, such as Writingmate. These platforms give users a simple and clear interface, where you can input queries (prompts) and receive responses directly from the model in the fastest way possible.

Difference Between Claude and Other Models

A common question I often hear is: Is Claude better than GPT? While each has their own strengths, Claude 3.7 for me done a better job in context understanding and language generation. I tend to use it in detail-oriented applications. However, GPT continues to be (one of) the best in creative and broad application scopes along with Grok and Google Gemini.

This model includes a feature that is good for developers called Claude Code Research Preview. It focuses on programming languages and coding tasks, receiving assistance with coding, debugging, and generating code snippets across various languages. This feature aims to provide clear and concise guidance.

Comparing Models With Writingmate

Writingmate is the go-to for those who want to compare AI models between each other. It already gives access to all of Claude's models and others like GPT4o, OpenAI o1, Mistral, Llama, and Grok, allowing users to test Claude 3.7, Claude sonnet 3.5, and others side by side with a special Model Comparison feature.

Comparing Claude 3.7 Sonnet with GPT-4o

Claude 3.7 has huge advantages in cost and performance. Despite GPT-4o's recent updates, Claude 3.7 has more recent training data, with a larger context window, making it a preferred choice for extensive coding tasks for many users.

Claude 3.5 vs Claude 3.7

The newer version boasts meaningful improvements, enhancing user experience by building a more comprehensive context before delivering information. While some claims suggest 3.5 is a better writer, 3.7 optimizes output quality and demonstrates better project management overall.

Performance and Pricing

Research indicates that Claude 3.7 demonstrates decent accuracy in software engineering tasks, evident in a 62.3% accuracy score on the SWE-bench. The API pricing is set at $3 per 1 million input tokens. This competitive rate provides a combo of reasonable pricing with high performance that not every other model matches.

Conclusion

Claude 3.7 Sonnet has become a significant step forward in AI technology, especially for precise tasks, coding, and analysis. Enhanced language comprehension a flexibility of this LLM makes it a valuable resource in various applications. Understanding and testing various AI models can provide insights into how AI can transform workflow.