Introducing Claude Opus 4.7
Anthropic News · 2026-04-16
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Topics: claude-opus-4-7agentic-aisoftware-engineering-aicybersecurity-safeguardsmultimodal-vision
Claims
- Claude Opus 4.7 delivers substantial improvements over Opus 4.6 on advanced software engineering, particularly on the hardest long-horizon coding tasks.
- Opus 4.7 supports images up to 2,576 pixels on the long edge (~3.75 megapixels), more than three times the resolution of prior Claude models.
- Anthropic has released Opus 4.7 with automated safeguards that detect and block prohibited or high-risk cybersecurity uses, serving as a testbed before a broader Mythos Preview release.
- Opus 4.7 introduces an 'xhigh' effort level between 'high' and 'max', giving developers finer control over the reasoning–latency tradeoff.
- Due to an updated tokenizer and increased thinking at higher effort levels, the same input can map to roughly 1.0–1.35× more tokens in Opus 4.7 than in Opus 4.6.
Key quotes
Users report being able to hand off their hardest coding work—the kind that previously needed close supervision—to Opus 4.7 with confidence.
Opus 4.7 is the first such model: its cyber capabilities are not as advanced as those of Mythos Preview (indeed, during its training we experimented with efforts to differentially reduce these capabilities).
Claude Opus 4.7 autonomously built a complete Rust text-to-speech engine from scratch—neural model, SIMD kernels, browser demo—then fed its own output through a speech recognizer to verify it matched the Python reference. Months of senior engineering, delivered autonomously.