Claude Sonnet 4: Anthropic has unveiled Claude Sonnet 4, the upgraded version of its first hybrid reasoning model - Claude Sonnet 3.7. The latest version offers frontier performance that’s practical for most AI use cases, including user-facing AI assistants and high-volume tasks. Claude Sonnet 4 Release Released on May 22, 2025, the Claude Sonnet 4 delivers superior coding and reasoning while responding more precisely to your instructions.Claude Sonnet 4: AvailabilityThe Claude Sonnet 4 is available on Claude for all users across the web, iOS, and Android. For those who are interested in building custom AI solutions with Claude Sonnet 4, it is available on the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI.Claude Sonnet 4 PricingThe pricing for Claude Sonnet 4 starts at $3 per million input tokens and $15 per million output tokens, with up to 90% cost savings with prompt caching and 50% cost savings with batch processing.Claude Sonnet 4: FeaturesAccording to Anthropic, the Claude Sonnet 4 can understand nuanced instructions and context, recognize and correct its own mistakes, and create sophisticated analysis and insights from complex data. It can produce near-instant responses or extended, step-by-step thinking that is made visible to the user. API users also have fine-grained control over how long the model thinks for.Customer-facing AI agentsThe Claude Sonnet 4 features superior instruction following, tool selection, error correction, and advanced reasoning for customer-facing agents and complex AI workflows.Code generationClaude Sonnet 4 offers strong performance in both planning and solving complex coding tasks, making it an ideal choice to power end-to-end software development processes.Computer useClaude Sonnet 4 is an even more accurate model to reliably use computers in this way, and we expect the capability to improve over time.Advanced chatbotsClaude Sonnet 4 offers enhanced reasoning and a warm, human-like tone. It is ideal for chatbots that need to connect data and take action across a variety of systems and tools.Apart from these, it is also ideal for answering questions around large knowledge bases, documents, and codebases. It can also able to extract information from visuals like charts, graphs, and complex diagrams. It excels at writing and is able to understand nuance and tone to generate more detailed content. Additionally, it is also capable of handling complex processes and operations.