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Claude Sonnet 4 now supports 1M tokens of context

Claude Sonnet 4 now supports up to 1 million tokens of context on the Anthropic API—a 5x increase that lets you process entire codebases with over 75,000 lines of code or dozens of research papers in a single request. Long context support for Sonnet 4 is now in public beta on the Anthropic API and in Amazon Bedrock, with Google Cloud’s Vertex AI coming soon. Longer context, more use cases With longer context, developers can run more comprehensive and data-intensive use cases with Claude, incl

Claude Sonnet's memory gets a big boost with 1M tokens of context

Sabrina Ortiz/ZDNET ZDNET's key takeaways Claude Sonnet 4 now has one million context tokens. As a result, the model can process much larger developer tasks. Developers can access it now, but API pricing does increase for certain requests. We all have that friend who is a great active listener and can recall details from past interactions, which then feeds into better conversations in the future. Similarly, AI models have context windows that impact how much content they can reference -- an

Claude vs. Gemini: Testing on 1M Tokens of Context

Was this newsletter forwarded to you? Sign up to get it in your inbox. Today, Anthropic is releasing a version of Claude Sonnet 4 that has a 1-million token context window. That’s approximately the entire extant set of Harry Potter books in each prompt. We got early access last week, so you know we had to put it to the test. We did three main tests on Claude Sonnet 4: Long context text analysis: We hid two movie scenes in 1 million tokens of context, and asked Claude to find those scenes and

Claude Fans Threw a Funeral for Anthropic’s Retired AI Model

On July 21 at 9 am PT, Anthropic retired Claude 3 Sonnet, a lightweight model known for being quick and cost-effective. On Saturday, in a large warehouse in San Francisco’s SOMA district, more than 200 people gathered to mourn its passing. The star-studded funeral was put on by a group of Claude fanatics and Gen Z founders, one of whom told me he dropped out of college after learning about artificial general intelligence. Attendees included Amanda Askell, an Anthropic researcher who has jokingl

Agents built from alloys

This spring, we had a simple and, to my knowledge, novel idea that turned out to dramatically boost the performance of our vulnerability detection agents at XBOW. On fixed benchmarks and with a constrained number of iterations, we saw success rates rise from 25% to 40%, and then soon after to 55%. The principles behind this idea are not limited to cybersecurity. They apply to a large class of agentic AI setups. Let me share. XBOW’s Challenge XBOW is an autonomous pentester. You point it at yo