Anthropic Releases Claude Opus 4.7 - Built for Long-Running Tasks With Self-Verification

Anthropic has launched Claude Opus 4.7, positioning it as their most capable generally available model for autonomous operations. The new model is specifically engineered for long-running tasks that require minimal human oversight, including multi-step reasoning, autonomous coding, CI/CD pipelines, and multi-agent coordination. The standout feature of Opus 4.7 is its self-verification capability, allowing the model to check its own work before delivering results. This addresses a critical challenge in autonomous AI operations where models run unsupervised for extended periods. The model also demonstrates improved handling of underspecified requests, making sensible assumptions whilst clearly stating them rather than stalling or making poor guesses. Benchmark results show Opus 4.7 outperforming its predecessor Opus 4.6 across multiple domains, including agentic coding, multidisciplinary reasoning, scaled tool use, and computer use scenarios. The release aligns strategically with Anthropic's earlier announcement of Claude Code Routines, which enables agents to run autonomously on their cloud infrastructure. The model is immediately available through Anthropic's API and Amazon Bedrock, representing another significant advancement in autonomous AI capabilities for enterprise and developer use cases.