claude-sonnet-4-20250514（Claude Code）

Basic Information

Claude Sonnet 4 is one of the core models in the Claude 4 series, officially released by Anthropic on May 22, 2025. It is built on Anthropic’s self-developed core technology architecture. The model’s API ID is claude-sonnet-4-20250514, representing an important achievement by Anthropic in the development of balanced AI capabilities. Positioned as a general-purpose, high-performance model, it strikes a balance between performance and ease of use. Ordinary users can access and use it free of charge via the Claude.ai platform on web, iOS, and Android devices. Developers can call it through the Claude Developer Platform, Amazon Bedrock, and Google Cloud’s Vertex AI; API integration supports smooth migration and adaptation.

Core Features

Balanced Programming Capabilities: Full-Process Development Adaptation and Enhanced Terminal Interaction

As a general-purpose model in the Claude 4 series, Claude Sonnet 4 demonstrates excellent balance in programming capabilities. In the SWE-bench Verified benchmark, which measures real-world software engineering abilities, it achieves outstanding results in regular mode. With the series’ standard “Extended Thinking Mode” enabled, its ability to solve coding problems further improves. In the specialized Terminal-bench test for terminal operations, its performance reaches the leading level among similar general-purpose models, supporting basic tasks across the entire development workflow, such as code compilation and execution, basic project environment configuration, and simple log analysis. It can quickly adapt to small- and medium-sized project development and daily programming needs, effectively integrating basic technical documentation information to generate development support reports.

Agent Tool Usage: Multi-Scenario Long-Step Reasoning Adaptation

In the field of agent tool usage, the model adopts Anthropic’s newly designed reasoning process, supporting reasoning tasks up to 100 steps. It can simulate complex thought processes such as retail strategy design and airline scheduling optimization, demonstrating stable scenario adaptation capability in the TAU-bench test. This process encourages the model to output a complete chain of reasoning rather than directly generating results, giving it stronger logic in multi-round thinking and cross-tool collaboration tasks. Combined with Anthropic’s foundational agent development ecosystem, it lowers the technical barrier for small- and medium-sized enterprises to develop agents, adapting to the agent-building needs of common business scenarios.

Computer Operation and Tool Interaction Capability: Multi-Tool Collaboration Adaptation

Claude Sonnet 4 possesses comprehensive computer operation fundamentals, supporting execution in terminal environments and enabling command-line interaction and basic file management. Although specific data from the OSWorld test has not been made public, official disclosures indicate that it can collaborate with common office software and basic development tools, handling simple data entry, document format conversion, and basic data analysis tasks, adapting to the automation office and basic development & O&M needs of small- and medium-sized enterprises.

Reasoning and Knowledge Processing Capability: Efficient Adaptation Across General Domains

In reasoning capability tests, the model shows distinct generalization advantages. In the multilingual question-answering MMMLU test, it achieves an accuracy rate of 85.4%, demonstrating solid cross-domain knowledge mastery. In the AIME (High School Mathematics Competition) test, it scores over 33%, far surpassing the level of previous models in the same category, reflecting significant progress in mathematical reasoning. Official test data shows that in scenarios such as academic paper interpretation, industry report analysis, and basic professional consulting, the model exhibits coherent logical reasoning and accurate knowledge application, making it an efficient auxiliary tool for general domains and basic professional scenarios.

Multi-modal and Contextual Advantages: Long-Text Processing and Multi-Format Adaptation

The model supports text and image inputs (such as charts and document image analysis), with comprehensive multilingual processing capabilities, adapting to the multilingual collaboration needs of global teams. Its context window size reaches 200,000 tokens (about 150,000 words). Actual testing shows it can smoothly handle ultra-long documents, small- and medium-sized codebases, and multi-document integration tasks, meeting the demands of large-scale tasks such as long report generation, collaborative analysis of multiple documents, and comprehensive codebase interpretation. Image generation functionality is currently not supported.

Technical Highlights

Developer Tool Ecosystem: Lightweight and Highly Integrated

The model is deeply integrated into the Claude development ecosystem, supporting collaboration with mainstream development environments. It allows direct execution of basic code and creation of simple files within dialogue scenarios, simplifying the development interaction process. The API interface design follows Anthropic’s unified standards, enabling developers to smoothly migrate and integrate without major adjustments to existing development frameworks, significantly reducing upgrade costs. For small- and medium-sized development teams, it optimizes response efficiency in high-frequency scenarios such as basic code debugging and document generation, enhancing the daily development collaboration experience.

Security Framework: Privacy-Prioritized and Compliant Design

The model continues Anthropic’s high-level security standards, featuring strict ethical constraints. By default, it does not use user data for model training, providing strong privacy protection and adapting to privacy-sensitive scenarios such as healthcare and legal fields. Official disclosures reveal that it is equipped with a high-precision content filtering mechanism, effectively blocking high-risk violating content, while also possessing basic prompt injection attack resistance. It meets the security compliance requirements of small- and medium-sized enterprises and general scenarios. Specific details about the security framework’s level and technical mechanisms remain undisclosed at this time.

Cost and Deployment Optimization: High Cost-Effectiveness Adaptation

The model supports flexible deployment across multiple platforms, adapting to the technical architecture needs of enterprises of different sizes. It particularly optimizes the deployment process for small- and medium-sized enterprises and individual developers. Although official pricing details have not been disclosed, it is clearly positioned as a cost-effective model, offering better cost advantages compared to the flagship Opus 4 model in the same series. It is suitable for high-frequency use cases such as batch processing, daily development, and general consulting, and can achieve a balance between cost and efficiency through reasonable combination strategies.

Market Impact

The release of Claude Sonnet 4 completes Anthropic’s Claude 4 series product matrix. Its core advantages—balanced performance, high cost-effectiveness, and ease of use—mark further maturity in the practical application of AI technology in small- and medium-sized enterprises and general scenarios. With leading test performances of 85.4% in MMMLU and over 33% in AIME, along with multi-modal and long-context processing capabilities, it has become the preferred model for small- and medium-sized software development, automation office, basic professional consulting, and cross-border collaboration scenarios. Its strategy of free access to ordinary users significantly lowers the threshold for using AI technology, while also meeting the cost-control needs of SMEs. It is especially favored by startups, small and medium-sized tech companies, and cross-border service agencies, and is expected to drive the large-scale popularization of inclusive AI applications.

Simply change the API Base in Claude Code to:https://api.302.ai/cc or https://api.302ai.cn/cc and use the key created in the backend directly as your APIKey.

With the official API charging at 70% of the original price, you need to modify the Base Url in Claude Code.