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Claude 3.7 Sonnet - Anthropic's first hybrid inference model

Claude 3.7 Sonnet, developed by Anthropic, is the world's first hybrid reasoning model, featuring both a "standard mode" and an "extended thinking mode." In standard mode, Claude 3.7 Sonnet can quickly generate...

What is Claude 3.7 Sonnet?

Claude 3.7 Sonnet, developed by Anthropic, is the world's first hybrid inference model, featuring both a "Standard Mode" and an "Extended Thinking Mode." In Standard Mode, Claude 3.7 Sonnet generates responses rapidly; in Extended Thinking Mode, it solves complex problems based on step-by-step reasoning. The model excels in complex tasks such as mathematics, physics, and programming, and leads the way in coding capabilities. Claude 3.7 Sonnet optimizes security, reducing unnecessary rejections. Claude 3.7 Sonnet supports Vertex AI access via the Anthropic API, Amazon Bedrock, and Google Cloud.

Claude 3.7 Sonnet's main functions

  • Hybrid reasoning mode:
    • Standard modeIt generates responses quickly, making it suitable for everyday conversations and simple tasks.
    • Expanding thinking patternsIt enables deep self-reflection and step-by-step reasoning, making it suitable for complex tasks such as mathematics, physics, logical reasoning, and programming.
  • Complex task processing capabilitiesIt excels in fields requiring strong logical reasoning, such as mathematics, physics, and programming. It performs exceptionally well in benchmark tests, such as SWE-bench Verified and TAU-bench.
  • Code collaboration abilityIt supports development workflows such as code editing and test execution. It also supports integration with GitHub to help developers fix bugs, develop new features, and handle full-stack updates.
  • Security EnhancementIt can more accurately distinguish between malicious and legitimate requests, reducing unnecessary rejections by 45% compared to its predecessor.
  • Multi-platform supportAvailable for free, professional, team, and enterprise subscription plans, accessible via the Anthropic API, Amazon Bedrock, and Vertex AI on Google Cloud.
  • Flexible usageWhen using the API, users can specify the number of tokens to think of, with an output limit of 128K tokens.

Claude 3.7 Sonnet performance

  •  Reasoning ability task performance:
    • In tasks such as mathematics, physics, instruction execution, and programming, Claude 3.7 Sonnet with extended thinking mode performs exceptionally well, showing an improvement of over 10% compared to the previous generation model.
    • SWE-benchClaude 3.7 achieved a high score of 70.3% on Sonnet, breaking the SOTA (State of the Art) record.
  • Coding ability:
    • SWE-bench Verified TestClaude 3.7 significantly improves Sonnet's coding capabilities, efficiently solving real-world software problems.
  • Multimodal and agent capabilities:
    • OSWorld TestClaude 3.7 Sonnet can complete tasks based on virtual mouse clicks and keyboard key presses.
    • Pokémon game testClaude 3.7 Sonnet, based on extended thinking ability and agent training, earns corresponding badges and performs far better than earlier versions.
  • Scaling is calculated during testing.:
    • Calculation during serial testingBefore generating the final output, multiple consecutive reasoning steps are performed, continuously increasing the investment of computational resources. For example, in solving mathematical problems, its accuracy increases logarithmically with the number of thinking tokens.
    • Computation during parallel testingBy sampling multiple independent thought processes and selecting the best outcome (such as majority voting or scoring models), model performance is significantly improved. In the GPQA test, Claude 3.7 Sonnet achieved an overall score of 84.8% based on parallel computing (with a physics score as high as 96.5%).

Claude 3.7 Sonnet project address

Claude 3.7 Sonnet Model Pricing

  • Enter Token$3 per million tokens entered.
  • Output Token$15 per million output tokens.

Application scenarios of Claude 3.7 Sonnet

  • Software Development and CodingIt helps developers handle complex codebases, write high-quality code, perform full-stack updates and fix bugs, and supports everything from simple code generation to complex system architecture design.
  • Front-end developmentOptimizes the front-end development process, generates HTML, CSS, and JavaScript code, and supports responsive design and interactive interface development.
  • Mathematics and Science Problem SolvingBased on extended thinking modes, it solves complex mathematical and physical problems, supporting logical reasoning and step-by-step solutions.
  • Enterprise-level task automationIn enterprise environments, it is used to automate complex business processes, generate reports, optimize workflows, and execute directive tasks.
  • Multimodal interaction and collaborationIt supports multimodal input and output, making it suitable for complex tasks that require combining text, images, or other data types, such as intelligent customer service, educational assistance, and creative design.
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