Anthropic/claude-sonnet-4-5-20250929
A high-performance flagship general large model developed by Anthropic, featuring powerful deep logical reasoning, native multimodal text-image parsing and million-token ultra-long context, suitable for enterprise complex business development, massive document in-depth analysis, professional code engineering and academic research.
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README
Anthropic/claude-sonnet-4-5-20250929
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 as a flagship enterprise-grade general commercial large model in the Claude Sonnet series, it adopts an optimized dense Transformer architecture, ranking in the top tier across mainstream authoritative benchmarks covering general reasoning, coding and logic tasks, specially built for medium-to-large enterprises with high-load complex business demands. Paragraph 2: Based on Sonnet 4, this model optimizes training data distribution and attention scheduling, improves lossless long-text information recall and multi-step reasoning accuracy, enhances visual parsing for high-definition charts, scanned documents and engineering drawings, and delivers significantly higher stability and fault tolerance in batch tool calling compared with peer competitive models. Key Capabilities ● Advanced Logical Reasoning: Excels at multi-step deduction, mathematical computation and logical error verification, achieving leading performance on authoritative high-level math and legal reasoning benchmarks. ● Professional Coding Development: Supports full-stack programming, large-scale project refactoring, vulnerability detection and unit test writing, capable of interpreting and iterating million-line code repositories. ● Agent Orchestration: Enables batch sequential and parallel function calling with autonomous tool-chain planning to automate data collection, computation and summary across multiple third-party tools. ● Native Multimodal Understanding: Precisely parses high-resolution screenshots, scanned PDFs, technical blueprints and handwritten documents to extract structured data and implement cross-modal reasoning. ● Million-Token Ultra-Long Context: Loads massive text datasets without information loss and delivers accurate global detail retrieval, effectively mitigating information forgetting in lengthy documents. ● Enterprise-Grade Safety Alignment: Adopts layered safety policies for data desensitization, harmful content interception and hallucination reduction to meet regulatory compliance requirements for commercial enterprise deployment. ● Unstructured Data Structuring: Efficiently extracts information from bulk documents, cleans tabular datasets and organizes business rules to generate standardized structured datasets at scale. Technical Strengths 表格 Feature Benefit Optimized Dense Attention Architecture Reduces information forgetting in million-token context scenarios, improves global reasoning accuracy for long documents and significantly cuts hallucination risks in lengthy content analysis High-Resolution Multimodal Encoder Processes blurry scanned files, complex tables and formulas without preprocessing, lowering manual data sorting workload and accelerating digitization of offline paper materials Enhanced Function Call Scheduler Supports autonomous serial/parallel tool orchestration with retry and result validation mechanisms, greatly improving the reliability of enterprise agent-based automated workflows Global Hallucination Mitigation Trained on high-quality aligned datasets to boost factual output reliability, avoiding costly business risks caused by false conclusions in legal, financial and research scenarios Cross-Lingual Semantic Alignment Delivers high-precision professional comprehension and translation across mainstream languages for technical documents and international contracts, supporting global business deployment Optimized Streaming Compute Scheduling Stable low-latency output under heavy workloads, preventing generation interruptions for large code and long-text batch tasks to boost enterprise operational efficiency Capability Ratings 表格 Dimension Rating Notes Reasoning Top-tier Outperforms most peer models on complex multi-step mathematical, legal and business logic benchmarks with leading high-order reasoning accuracy Coding Top-tier Supports end-to-end large-scale software development, code refactoring and vulnerability auditing for enterprise full-stack and backend engineering scenarios Creative Writing Excellent Produces rigorous, well-structured commercial, academic and literary content with rich standardized expressive capability Multimodal Top-tier Accurately interprets high-definition charts, scanned archives and engineering drawings, leading the industry in cross-modal structured information extraction Response Speed Fast Stable streaming latency under high-load multimodal and long-text tasks, well suited for enterprise batch API invocation scenarios Context Window Huge Supports one-time loading of million-token corpora with precise global detail retrieval, ideal for knowledge base, contract cluster and bulk literature analysis Use Cases ● Enterprise Mass Document Governance: Batch-process contracts, financial reports and internal knowledge bases to extract key information, identify compliance risks and categorize documents for manual workload reduction. ● Large-Scale Software R&D: Analyze massive code repositories, generate business-driven code, detect security vulnerabilities and build test suites to accelerate software iteration for engineering teams. ● Academic Research & Data Analysis: Summarize bulk research papers, interpret experimental charts, validate research findings and organize unstructured literature into standardized review datasets. ● Legal & Financial Compliance Audit: Batch-review commercial agreements and risk control documents to detect clause loopholes and generate structured risk assessment reports for regulatory compliance. ● Enterprise Intelligent Automation Agents: Integrate with internal databases, business systems and third-party APIs via function calling to automate data analytics, report generation and workflow approval tasks. ● Offline Paper Digitization: Convert scanned archives, handwritten invoices and engineering blueprints into searchable structured enterprise datasets to realize full digital archive management. ● Cross-Border Business Content Processing: Deliver accurate professional translation, semantic proofreading and rule collation for multilateral technical manuals and international commercial contracts to support global business expansion.
Pricing
| Token Type | LinkAI Price | Official Price |
|---|---|---|
| input | $2.550000 / 1M tokens | $3.000000 / 1M tokens |
| output | $12.750000 / 1M tokens | $15.000000 / 1M tokens |
| cache_write_5m | $3.187500 / 1M tokens | $3.750000 / 1M tokens |
| cache_write_1h | $5.100000 / 1M tokens | $6.000000 / 1M tokens |
| cache_input | $0.255000 / 1M tokens | $0.300000 / 1M tokens |