Anthropic/claude-sonnet-4-20250514

Supported Functionality 表格 Item Specification Input Text, Image Output Text Context 1,000,000 tokens Max Output 128,000 tokens Vision ✓ Supported Function Calling ✓ Supported Description Paragraph 1: Released by Anthropic in May 2025, Claude Sonnet 4 belongs to the flagship commercial Claude Sonnet series. Positioned as an all-purpose large model for government, enterprise, research and technical teams, it ranks top-tier across mainstream benchmarks for general capability, mathematical reasoning, coding and multimodal tasks, focusing on reliable and controllable commercial deployment. Paragraph 2: It features comprehensive upgrades on architecture and training data based on Claude 3.5 Sonnet, optimizing long-text attention mechanism and multi-step reasoning chains, improving visual parsing accuracy for images, tables and scanned documents, while enhancing stability and error self-recovery for batch function calling and greatly reducing hallucination rates. Key Capabilities ● Complex Chain Reasoning: Delivers outstanding performance on multi-step logical deduction, mathematical calculation and business scenario simulation, supporting high-complexity decision analysis tasks. ● Full-Scenario Coding Development: Supports frontend, backend, scripting and embedded programming, enabling project review, code refactoring, vulnerability scanning and test case generation for large-scale engineering projects. ● Reliable Function & Tool Calling: Supports serial and parallel multi-tool invocation with parameter verification and automatic retry to build autonomous business workflow automation. ● Multimodal Text-Image Understanding: Accurately parses high-resolution screenshots, scanned PDFs, data tables, flowcharts and handwritten documents for structured data extraction and cross-modal reasoning. ● Million-Token Ultra-Long Context: Enables one-time loading of massive text corpora with high accuracy of key detail retrieval, ideal for global analysis of contracts, knowledge bases and bulk literatures. ● Low-Hallucination Fact-Based Generation: Trained with massive factual alignment datasets to guarantee high accuracy in financial reports, legal contracts and academic papers, avoiding false derivations. ● Multilingual Professional Content Processing: Provides high-precision translation, proofreading and content summarization for dozens of mainstream languages to support cross-border business and global office scenarios. Technical Strengths 表格 Feature Benefit Long-Context Optimized Attention Mechanism Mitigates long-distance information forgetting under million-token context, ensures accurate global correlation analysis and avoids business losses caused by omitted key details High-Precision Multimodal Encoder Recognizes blurry scanned files, complex tables and formulas without preprocessing, drastically improving the digitization efficiency of offline paper materials Fault-Tolerant Tool Calling Framework Automatically validates parameters and retries failed API requests to prevent workflow interruption, greatly improving the stability of enterprise agent applications Large-Scale Factual Alignment Training Restricts fictional outputs strictly to ensure high credibility in regulated industries like law, finance and healthcare, cutting operational risks from misinformation Vertical Domain Pre-Trained Corpus Deeply absorbs domain knowledge in tech, law, finance and academia, delivering better professional document comprehension than general-purpose models Dynamic Streaming Compute Scheduling Ensures smooth long-text and code generation without interruption, meeting high-concurrency API access demands for enterprise production environments Capability Ratings 表格 Dimension Rating Notes Reasoning Top-tier Excels at complex multi-step mathematical, legal and business logic reasoning with leading performance on high-order reasoning benchmarks Coding Excellent Supports full-stack development, code auditing and project refactoring for most enterprise software and scripting automation scenarios Creative Writing Excellent Capable of both literary creation and formal writing for business, academic and legal documents with rigorous standardized expression Multimodal Top-tier Achieves leading industry performance in parsing scanned archives, technical charts and structured data via cross-modal information extraction Response Speed Fast Stable latency for long-text and multimodal tasks with fluent streaming output, suitable for high-frequency enterprise API calls Context Window Huge Allows one-time loading of massive documents, perfect for global deep analysis of knowledge bases, contract batches and literature collections Use Cases ● Enterprise Bulk Document Review: Automatically extract key clauses and identify hidden risks from contracts, financial statements and internal policies to cut manual auditing costs. ● R&D Efficiency Improvement: Analyze code repositories, generate functional code, detect security vulnerabilities and develop documentation to accelerate software iteration cycles. ● Academic Literature Organization: Summarize research papers, interpret experimental charts and organize literature reviews to streamline academic research workflows. ● Legal & Financial Compliance Audit: Decompose commercial agreements and risk reports to identify compliance loopholes and deliver standardized risk assessment documents. ● Intelligent Business Automation: Connect internal databases and third-party systems to automate data statistics, report generation and business data aggregation via function calling. ● Offline Archive Digitization: Convert scanned invoices, engineering drawings and handwritten files into searchable structured enterprise digital assets. ● Cross-Border Multilingual Business Operation: Deliver consistent professional translation, terminology normalization and content validation for international contracts and technical manuals to support global business expansion.