Anthropic Launches Claude Opus 4.7 With Self Verification for Autonomous Agents

Claude

Apr 16, 2026 · Updated Jun 5, 2026

Anthropic released Claude Opus 4.7, a model optimized for long-running tasks that can verify its own logic and outputs before reporting back. This update shifts the focus from conversational assistance to reliable autonomy by reducing the need for human supervision during complex workflows.

Anthropic launched Claude Opus 4.7, a model iteration specifically engineered for long-horizon agentic workflows (autonomous systems that complete multi-step tasks over hours). It introduces self-verification, where the model identifies logical faults during planning and validates its own results. The update also includes a 3x vision resolution increase for reading diagrams.

This release addresses the reliability gap in autonomous agents, which often struggle with "looping" or stalling during tasks. By improving instruction following and adding a new xhigh effort level (a setting that controls the reasoning-to-latency tradeoff), the model enables more consistent performance on asynchronous work like CI/CD pipelines.

The model is available via the Claude API, Amazon Bedrock, and Google Cloud. In Claude Code, the new /ultrareview command uses this model to flag bugs and design issues that a careful reviewer would catch. This enables more autonomous, multi-step coding tasks with fewer interruptions.

View the full update on anthropic.com

Claude

@claudeaiApr 16

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision. https://t.co/PtlRdpQcG5

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