
What is Claude 3.7 Sonnet?
The Claude series is developed by Anthropic, an artificial intelligence company dedicated to building ethical and safer AI systems.Claude 3.7 Sonnet is an evolution of the Claude 3 series and is the world's first AI system released by Anthropic.mixed inference model, and is the company's smartest AI model to date. The model can solve more complex problems and outperforms previous models in areas such as math and coding.
Key features of Claude 3.7 Sonnet
- mixed reasoning ability: Combining immediate response and deep thinking modes, users can switch according to their needs to enhance complex task processing capabilities.
- Strong coding capabilities: Claude 3.7 Sonnet excels in handling complex codebases, front-end development, and full-stack updates, significantly outperforming other models.
- Flexible thought control: Through the API, users can precisely control the thinking time and budget of the model, balancing speed with answer quality.
- Optimized inference performance: Claude 3.7 Sonnet excels at tasks such as math, physics, and instruction following, and especially improves significantly in extended thinking mode.
- Safety and reliability: Extensively tested to more accurately distinguish between harmful and benign requests and reduce unnecessary rejections.
- GitHub Integration: Claude 3.7 Sonnet supports direct connections to the GitHub codebase to help developers fix bugs, develop features, and build documentation.
- Multi-Platform Support: Claude 3.7 Sonnet is available on Anthropic API, Amazon Bedrock, and Vertex AI for Google Cloud.
Claude 3.7 Sonnet's model review
According to the latest reviews, Claude 3.7 Sonnet performs well in several benchmarks and here are its key performances:
- SWE-bench Verified (software engineering benchmarking): Claude 3.7 Sonnet scored in this test 70.3% (using customized scaffolding) cap (a poem) 62.31 TP4T (standard scaffold) This high score far exceeds competitors such as OpenAI's GPT-4 and DeepSeek R1, demonstrating its strong ability to solve real-world software problems. This demonstrates its strong ability to solve real-world software problems.

- TAU-bench (benchmarking of intelligent body tool use): In the retail and aviation scenarios, Claude 3.7 Sonnet achieved respectively 81.2% cap (a poem) 58.4% The leading achievement. This demonstrates an excellent ability to interact with users and tools in complex real-world tasks.
- Mathematics and science: In Extended Thinking mode, Claude 3.7 Sonnet performs significantly better on math and science tasks, but is still slightly behind Grok 3 Beta in some areas.
- Multimodal capabilities and command following: Claude 3.7 Sonnet excels in instruction adherence, generalized reasoning, and multimodal capabilities, especially in intelligent body coding, which is significantly enhanced by its Extended Thinking model.
- Pokémon game test: In Anthropic's in-house Pokémon playtest, the Claude 3.7 Sonnet outperforms all previous generation models.
Claude 3.7 Model Pricing for Sonnet
Pricing for Claude 3.7 Sonnet remains the same as the previous version for both standard and extended thinking modes: $3 per million input tokens and $15 per million output tokens (which includes thinking tokens).
Claude 3.7 Scenarios for the use of Sonnet
- Code generation and developmentClaude 3.7 Sonnet excels in programming, generating high-quality code quickly and supporting front-end development, complex codebase handling, and full-stack updates. Its companion tool, Claude Code, allows you to edit, test, commit, and push code directly in the terminal, dramatically improving development efficiency, especially for developers who need to code efficiently and automate tasks.
- Complex reasoning and analysis: In complex reasoning tasks such as math and physics, Claude 3.7 Sonnet's Extended Thinking Mode enables deep logical analysis and significantly improves problem solving. It also supports multimodal tasks, combining image and text information to accomplish complex tasks, for scenarios that require precise reasoning and multidimensional analysis.
- Content generation: Claude 3.7 Sonnet is capable of generating high-quality text content, includingCreative Copywriting, report writing and article creation for a variety of writing needs. Its flexible output modes make it an excellent performer in the content creation field, especially for users who need to generate high-quality text quickly.
- Enterprise Applications: Claude 3.7 Sonnet supports enterprise-level applications such as knowledge search and retrieval, product recommendation and quality control. It can help enterprises improve efficiency and competitiveness by performing accurate information retrieval based on a massive knowledge base, providing personalized recommendation solutions, and optimizing quality inspection in the production process.
- Intelligent Agents and Tool Use: As an intelligent agent, Claude 3.7 Sonnet is able to autonomously perform computer operations, execute tasks through command line tools, and build complex AI workflows. It supports client-oriented AI agents that drive intelligent workflows, especially for scenarios that require automated task execution and intelligent interactions.
- Predictive Analytics and Image Text Parsing: Claude 3.7 Sonnet can be used for data analysis and prediction to help users perform trend forecasting and risk assessment to support decision making. It also supports the extraction of textual information from images, combined with reasoning capabilities to enable the understanding and application of image content, for scenarios requiring image parsing and predictive analytics.
How to use Claude 3.7 Sonnet?
Claude 3.7 Sonnet is now available on all Claude subscription plans (including Free, Pro, Team, and Enterprise editions) and supports the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI platform. Extended Thinking Mode is available for all but the free version of Claude.
1. Individual users:
interviewsClaude official website, register to log in to your account:
- Standard Model: For fast response, similar to the Claude 3.5 Sonnet upgrade.
- Extended Thinking Model: Self-reflection before answering is suitable for tasks that require deep thinking, such as math, physics, and programming, and can significantly improve performance.
2. Developer users:
- Claude 3.7 Sonnet is available on the Anthropic API,Amazon Bedrock and Google Cloud's Vertex AI On the use of the extended thinking mode is now live on all platforms except the free version.
data statistics
Relevant Navigation

The large-scale language model with powerful semantic understanding and knowledge reasoning capabilities introduced by KU Xunfei is widely used in many fields such as enterprise services, intelligent hardware, and smart government.

Gemma 3
Google launched a new generation of open source AI models with multi-modal, multi-language support and high efficiency and portability, capable of running on a single GPU/TPU for a wide range of application scenarios.

DeepSeek-Math-V2
The world's first large model of mathematical reasoning in open source form to reach the gold medal level of the International Mathematical Olympiad (IMO), realizing the rigor of reasoning and the ability to solve difficult mathematical problems through a self-verification framework.

GPT-4o
OpenAI introduces a multimodal, all-inclusive AI model that supports text, audio and image input and output with fast response and advanced features, and is free and open to the public to provide a natural and smooth interactive experience.

Xiaomi MiMo
Xiaomi's open-sourced 7 billion parameter inference macromodel, which outperforms models such as OpenAI o1-mini in mathematical reasoning and code competitions by a small margin.

Tongyi LM
Launched by AliCloud, the ultra-large-scale pre-trained language model has powerful natural language processing and comprehension capabilities, and is able to simulate human thinking for tasks such as multi-round conversations and copywriting, and serves a number of industries and scenarios to provide users with intelligent solutions.

Chitu
The Tsinghua University team and Qingcheng Jizhi jointly launched an open source large model inference engine, aiming to realize efficient model inference across chip architectures through underlying technological innovations and promote the widespread application of AI technology.

Gemini 3
Google launched the world's first native multimodal “doctoral” AI model, with millions of contexts, cross-modal deep reasoning and generative UI as the core, redefining the boundaries of intelligent collaboration from scientific research and creation to everyday tasks.
No comments...

