Amazon, Google-backed startup Anthropic launches Claude Opus 4, its most advanced AI model

Anthropic, an AI startup backed by both Alphabet and Amazon, has unveiled its latest AI model, Claude Opus 4. It is said to be capable of autonomously coding for extended durations, significantly surpassing the capabilities of its earlier versions.

Claude Opus 4 is Anthropic’s most advanced AI model, designed for sustained, high-performance coding and problem-solving. It greatly exceeds previous Sonnet models by working continuously for hours and excelling in complex tasks. 

Industry leaders like Cursor, Replit and Rakuten commended on its precision and ability to handle complicated code changes. While testing with client Rakuten, Claude Opus 4 demonstrated the ability to code continuously for nearly seven hours, a substantial improvement over the 45-minute duration achieved by the earlier Claude 3.7 Sonnet model.

Anthropic has also introduced Claude Sonnet 4, a streamlined and budget-friendly alternative to Opus 4. 

Sonnet 4 may not as powerful as Opus 4, but it is said to strike the right balance between capability and efficiency, making it ideal for practical applications. 

Companies like Sourcegraph, GitHub, and Augment Code recognise these models as breakthroughs in AI-driven software development, enhancing reasoning, reliability, and code quality. 

Anthropic has positioned Opus 4 as a game-changer in advanced AI applications, and the Sonnet 4 will act as an immediate upgrade for everyday use AI.

The company has also officially launched Claude Code, a tool designed to support software developers, following its initial preview in February. It aims to simplify coding tasks and boost efficiency.

Anthropic’s latest announcement comes days after major AI launches at the Google I/O. 

However, the startup looks to cut through the clutter with Claude Opus 4 and Sonnet 4.

Anthropic's Chief Product Officer Mike Krieger, during the launch, highlighted the need for AI models to function autonomously and consistently over long periods to drive real economic and productivity gains. 

Sci/Tech