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Claude Opus 4.7

Claude Opus 4.7 represents a meaningful step forward for complex, autonomous work, with particularly notable gains in advanced software engineering compared to its predecessor. The model is designed to handle difficult coding tasks with less supervision—users can hand off their hardest technical problems with confidence that the system will execute rigorously and verify its own outputs before finishing. A significant technical advancement is its high-resolution vision: maximum image resolution has increased substantially, with coordinates mapping directly to actual pixels without requiring scale-factor calculations, making tasks like pointing, measuring, and visual verification more straightforward. The model also demonstrates improved taste and creativity in professional deliverables, producing higher-quality interfaces, presentations, and documentation.

The model was developed alongside Anthropic's Project Glasswing cybersecurity initiative, and during its training, the team experimented with safeguards to differentially reduce certain capabilities—making Opus 4.7 the first model to undergo these cyber-focused alignment tests. While less broadly capable than the Mythos Preview tier, it outperforms Opus 4.6 across a range of benchmarks. It excels at long-horizon agentic tasks, knowledge work, memory tasks, and document-heavy workflows—tracking multi-day projects, analyzing charts and figures, working across large codebases, and handling screenshot-intensive processes. The model is positioned as Anthropic's most capable generally available release for sustained autonomy in production environments, with a knowledge cutoff in early 2026 and support for adaptive thinking.

Perplexity Agentanthropic/claude-opus-4-7claude-opus

Quick Info

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Provider
Perplexity Agent
Model key
anthropic/claude-opus-4-7
Release date
Apr 16, 2026
Last updated
Apr 16, 2026
Knowledge cutoff
2026-01-31
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$5.00
Output token cost
$25.00

Limits

Output tokens
128,000 tokens
Context window
1,000,000 tokens

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