And one update could shift the balance.
Anthropic just handed developers something rare in the AI world—memory that actually lasts.
The Claude Sonnet 4 model now supports a 1 million token context window. That’s enough to process 750,000 words or 75,000 lines of code in one go. For perspective, that’s five times its previous limit, and more than double GPT-5’s 400,000 token window.
This upgrade isn’t just about bragging rights. In software engineering, context changes everything. A model that can “see” your entire project can build, debug, and improve features with fewer gaps—and far less human hand-holding.
Anthropic is positioning this as a direct appeal to enterprise AI customers—especially coding platforms like GitHub Copilot, Windsurf, and Cursor—at a time when GPT-5 is chasing the same market. And yes, the extra memory comes with a higher price tag, but for teams working on complex, long-horizon coding tasks, the payoff could be huge.
The takeaway? We might be entering an AI coding arms race where the winner isn’t the fastest or cheapest model—it’s the one that remembers the most.
Developers, would you pay extra for an AI that can remember your entire codebase?
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