Claude Sonnet 4.5 is Anthropic's flagship multimodal model with text and image capabilities, featuring a 200K token context window and advanced reasoning abilities.
| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $1.50 | $7.50 | $0.150 | |
| $1.50 | $7.50 | $0.150 | |
| $1.65 | $8.25 | - | |
| $3.00 | $15.00 | $0.300 | |
| $3.00 | $15.00 | $0.300 | |
| $3.00 | $15.00 | $0.300 | |
| $3.30 | $16.50 | - |
Prices updated daily. Last check: Sep 6, 2026
Input, output, and batch rates, plus alternatives, for one provider at a time.
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
Claude Sonnet 4.5 is designed for complex, high-stakes applications that demand flagship-level performance. Its multimodal capabilities make it well-suited for document analysis involving charts, diagrams, and visual elements, while the 200K context window enables comprehensive review of lengthy contracts, research papers, and codebases. Organizations deploy it for sophisticated coding assistance, complex reasoning tasks, advanced chatbots requiring nuanced understanding, and agentic workflows where tool calling enables integration with external systems. The model's flagship positioning makes it appropriate for scenarios where accuracy and capability are prioritized over cost considerations.
Claude Sonnet 4.5 pricing varies by provider and pricing type (standard vs batch). Check the pricing table above for current rates across all providers.
Claude Sonnet 4.5 excels at complex reasoning tasks, multimodal document analysis, sophisticated code generation, and applications requiring tool calling capabilities. Its 200K context window and flagship-tier performance make it ideal for demanding workflows involving lengthy documents with visual elements, advanced programming assistance, and complex agentic applications.
Claude Sonnet 4.5 competes with models like GPT-5.4 and Gemini 3.1 Pro in the flagship tier. It offers multimodal text and image processing with a 200K token context window, tool calling capabilities, and Anthropic's constitutional AI approach. The choice between flagship models often depends on specific use case requirements, integration preferences, and performance characteristics for particular task types.