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Anthropic announced Tuesday that its Claude Sonnet 4 artificial intelligence model can now process up to 1 million tokens of context in a single request — a fivefold increase that allows developers to analyze entire software projects or dozens of research papers without breaking them into smaller chunks.
The expansion, available now in public beta through Anthropic’s API and Amazon Bedrock, represents a significant leap in how AI assistants can handle complex, data-intensive tasks. With the new capacity, developers can load codebases containing more than 75,000 lines of code, enabling Claude to understand complete project architecture and suggest improvements across entire systems rather than individual files.
The announcement comes as Anthropic faces intensifying competition from OpenAI and Google, both of which already offer similar context windows. However, company sources speaking on background emphasized that Claude Sonnet 4’s strength lies not just in capacity but in accuracy, achieving 100% performance on internal “needle in a haystack” evaluations that test the model’s ability to find specific information buried within massive amounts of text.
How developers can now analyze entire codebases with AI in one request
The extended context capability addresses a fundamental limitation that has constrained AI-powered software development. Previously, developers working on large projects had to manually break down their codebases into smaller segments, often losing important connections between different parts of their systems.
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“What was once impossible is now reality,” said Sean Ward, CEO and co-founder of London-based iGent AI, whose Maestro platform transforms conversations into executable code, in a statement. “Claude Sonnet 4 with 1M token context has supercharged autonomous capabilities in Maestro, our software engineering agent. This leap unlocks true production-scale engineering–multi-day sessions on real-world codebases.”
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