Anthropic releases Claude Opus 4.7 with automated cybersecurity safeguards Software teams building agentic AI workflows have been pushing frontier models toward longer, unsupervised task runs. Claude Opus 4.7, now generally available from Anthropic, is aimed squarely at that demand, with particular gains in software engineering, multimodal processing, and the kind of instruction fidelity that matters when a model is running tasks autonomously over multiple steps. Opus 4.7 is available across all Claude products and the API, Amazon Bedrock, Google Cloud’s Vertex AI, and Microsoft Foundry. Pricing remains the same as Opus 4.6: $5 per million input tokens and $25 per million output tokens. What changed from Opus 4.6 Opus 4.7 is a notable improvement on Opus 4.6 in advanced software engineering, with particular gains on the most difficult tasks. The model handles complex, long-running tasks with rigor and consistency, pays precise attention to instructions, and devises ways to verify its own outputs before reporting back. On the vision side, the upgrade is significant. Opus 4.7 can accept images up to 2,576 pixels on the long edge, approximately 3.75 megapixels, more than three times as many as prior Claude models. That increase supports use cases including computer-use agents reading dense screenshots, data extractions from complex diagrams, and work that needs pixel-perfect references The higher resolution is a model-level change, meaning images sent to the API are automatically processed at greater fidelity; users who do not need the extra detail can downsample images before sending to control token costs. Instruction-following behavior has also shifted in ways that require attention from teams migrating existing deployments. Where previous models interpreted instructions loosely or skipped parts entirely, Opus 4.7 takes the instructions literally. Users should re-tune their prompts and harnesses accordingly. Opus 4.7 is also better at using file system-based memory. It remembers important notes