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Claude 3.7 Sonnet

Claude 3.7 Sonnet is the latest intelligent model launched by Anthropic, supporting fast response and deep reasoning.

#Artificial Intelligence
#deep learning
#programming
#API
#reasoning
Claude 3.7 Sonnet

Product Details

Claude 3.7 Sonnet is the latest hybrid inference model launched by Anthropic, which can achieve seamless switching between fast response and deep inference. It excels in areas such as programming, front-end development, and provides granular control over the depth of inference via APIs. This model not only improves code generation and debugging capabilities, but also optimizes the processing of complex tasks, making it suitable for enterprise-level applications. Pricing is consistent with its predecessor, charging $3 per million tokens for input and $15 per million tokens for output.

Main Features

1
Supports fast response and deep reasoning, and users can customize the thinking time.
2
Excellent performance in programming and front-end development, with the ability to produce high-quality code.
3
Provides granular control over inference depth via API, supporting output of up to 128K tokens.
4
It optimizes the processing capabilities of complex tasks and is suitable for enterprise-level applications.
5
Provides integration with GitHub to support code task assignment directly in the terminal.

How to Use

1
1. Visit the official Anthropic website, sign up and select the appropriate plan (such as Pro, Team or Enterprise).
2
2. Create a project on the Claude.ai platform and connect to the GitHub code repository to integrate the code.
3
3. Use the API or terminal tool (such as Claude Code) to call the Claude 3.7 Sonnet model.
4
4. Select standard mode or extended thinking mode according to needs, and set the reasoning depth.
5
5. Submit the task and the model will generate a response or execute the code task according to the settings.

Target Users

Claude 3.7 Sonnet is mainly aimed at enterprise users, developers who need efficient programming and complex task processing, and researchers who need deep reasoning capabilities. It can significantly improve development efficiency, reduce manual workload, and solve complex practical problems through reasoning capabilities.

Examples

In Cursor tests, the Claude 3.7 Sonnet was rated the best model for practical programming tasks.

Vercel leverages Claude 3.7 Sonnet to build complex web applications and dashboards that cannot be accomplished with other models.

Canva's evaluation shows that Claude 3.7 Sonnet can generate production-grade code with a stronger design feel and lower error rates.

Quick Access

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Categories

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› AI model
› code assistant

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