Anthropic recently unveiled Claude 4, a significant advancement in the field of artificial intelligence. With two new models, Claude Opus 4 and Claude Sonnet 4, this initiative aims to transform the landscape of coding and complex tasks. Offering remarkable performance, these innovative systems are designed to meet the growing programming and automation needs of developers. Within this development, advanced technical features enrich the user experience and improve efficiency in a variety of contexts.<\/p>\n\n
Claude 4 isn’t just an update to existing models; it redefines performance standards in the software industry. Anthropic designed Claude Opus 4 to meet the demands of long and complex tasks. With impressive scores on the SWE-bench and Terminal-bench benchmarks, it clearly leads the pack. But what do these numbers mean in the daily lives of developers? Claude Opus 4 achieved 72.5% on SWE Benchmark and 43.2% on Terminal Benchmark, results that make the model the benchmark for coding. Designed to run over long periods of time, it is ideally suited to industrial workflows and managing complex tasks within multi-agent architectures. Its effectiveness is not limited simply to speed, but also includes the ability to maintain consistency in complex reasoning, an essential aspect for software intended for mission-critical applications.<\/p>\n\n
On the other hand, Claude Sonnet 4, while lighter, is no slouch. Replacing Sonnet 3.7, it achieved a score of 72.7% on SWE-bench. Designed for everyday applications, it responds quickly to user queries. This makes it accessible even to casual users who don’t require the power of a model like Claude Opus 4.<\/p>\n\n
Dominant performance in complex tasks<\/p>\n\n
Benchmark<\/p>\n\n Claude 4’s models introduce \u00ab\u00a0extended thinking,\u00a0\u00bb a feature that allows agents to seamlessly transition from reasoning to using external tools. These tools can include web searches that enrich the AI’s response, making it more relevant to users.<\/p>\n\n Ability to remember information from local files, simulating working memory<\/p>\n\n With the launch of Claude 4, Anthropic also introduced Claude Code, a development co-pilot that revolutionizes the way developers interact with code. Already proven on platforms such as GitHub, it is now available in a stable version, with integrations for Visual Studio Code and JetBrains. But how does Claude Code transform the programming process?<\/p>\n\n An SDK for custom integrations<\/p>\n\n The flexibility offered by Claude Code goes even further with the introduction of a software development kit (SDK). The latter allows companies to create personalized agents based on Claude Code, adapted to their specific needs. For example, a GitHub integration allows Claude Code to perform direct actions on pull requests, CI\/CD errors or complex refactorings.<\/p>\n\n Possibility of creating personalized agents according to your projects<\/p>\n\n Claude models are accessible via several cloud platforms, facilitating their adoption by users wishing to integrate artificial intelligence-based solutions into their processes.<\/p>\n\n Availability<\/p>\n\n In short, the launch of Claude 4 represents not only a technological breakthrough, but also a fundamental shift in the way conversational agents can interact with programming and manage complex tasks. Anthropic is establishing itself as a key player in artificial intelligence innovation by offering powerful and accessible tools.<\/p>\n\n Seamless integration into the technology ecosystem<\/p>\n\n Anthropic is strategically positioned by integrating its models into major platforms such as Amazon Bedrock and Google Vertex AI. This expands the scope of Claude 4’s applications and facilitates its adoption by various users and industries. These integrations meet the growing need for automation and process improvement solutions. Easy access to advanced models via cloud environments<\/p>\n\n Accelerated processes thanks to models integrated into existing systems<\/p>\n\n <\/p>\n\n\n","protected":false},"excerpt":{"rendered":" Anthropic recently unveiled Claude 4, a significant advancement in the field of artificial intelligence. With two new models, Claude Opus 4 and Claude Sonnet 4, this initiative aims to transform the landscape of coding and complex tasks. Offering remarkable performance, these innovative systems are designed to meet the growing programming and automation needs of developers. […]<\/p>\n","protected":false},"author":1,"featured_media":31710,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1398],"tags":[6333,1653,57610,30362,57613],"class_list":["post-31796","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-ai-en","tag-agents-en","tag-anthropic-en","tag-claude-4-en","tag-programming-en","tag-task-management-en"],"_links":{"self":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/31796","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/comments?post=31796"}],"version-history":[{"count":1,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/31796\/revisions"}],"predecessor-version":[{"id":31797,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/31796\/revisions\/31797"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/media\/31710"}],"wp:attachment":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/media?parent=31796"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/categories?post=31796"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/tags?post=31796"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n\n
\n \nScore (%)<\/th>\n Usage<\/th>\n Claude Opus 4<\/th>\n SWE-bench<\/th>\n<\/tr>\n<\/thead>\n \n 72.5<\/td>\n Long, complex tasks<\/td>\n Claude Opus 4<\/td>\n Terminal-bench<\/td>\n<\/tr>\n \n 43.2<\/td>\n Industrial workflows<\/td>\n Claude Sonnet 4<\/td>\n SWE-bench<\/td>\n<\/tr>\n \n 72.7<\/td>\n Everyday applications<\/td>\n To preserve the integrity of task management, Anthropic designed these models to be less prone to reasoning errors. Thanks to technical advances, Claude 4 is 65% less likely to resort to shortcuts or fall into infinite loops compared to its predecessors. These improvements place Claude 4 at the forefront of automated artificial intelligence, enabling conversational agents to act in a more reasoned and efficient manner.<\/td>\n Revolutionary technical features<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n Simultaneous use of several tools for an enriched response<\/h3>\n\n
Claude Code is much more than a simple toolbox. It offers contextual code suggestions, which appear directly in the development environment. This intuitive integration allows developers to save precious time, which is so vital in the fast-paced world of software development.<\/h2>\n\n
Native integrations for popular development environments<\/h3>\n\n
Model<\/h3>\n\n
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\n \nPrice (per million tokens)<\/th>\n Claude Opus 4<\/th>\n Anthropic API, Amazon Bedrock, Google Vertex AI<\/th>\n<\/tr>\n<\/thead>\n \n $15 \/ $75<\/td>\n Claude Sonnet 4<\/td>\n Anthropic API, Amazon Bedrock, Google Vertex AI<\/td>\n<\/tr>\n \n $3 \/ $15<\/td>\n These competitive pricing makes the technology accessible to a wide range of users, both for personal development and business projects. The ability to experiment with these models through established platforms like Google Vertex AI or Amazon Bedrock reinforces their appeal.<\/td>\n Anthropic and the future of artificial intelligence in coding<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n Competition in the language model sector is intensifying. With the emergence of Gemini 2.5 Pro and OpenAI Codex, the rise of AI in programming is only just beginning. This dynamic environment is conducive to the emergence of increasingly powerful and efficient solutions capable of supporting developers in their quest for innovation.<\/h2>\n\n
Facilitated interoperability for developers<\/h3>\n\n