Anthropic’s Claude AI model can now handle longer prompts

Anthropic is taking a significant step forward in the AI landscape by enhancing its Claude AI model, allowing enterprise users to submit longer prompts. This update aims to attract more developers to its suite of AI coding solutions. The latest evolution, the Claude Sonnet 4 model, now boasts an astonishing one million token context window, enabling it to process requests as extensive as 750,000 words—surpassing even the entirety of the Lord of the Rings trilogy or an equivalent to 75,000 lines of code. This new capability represents a dramatic increase from Claude’s previous limit of 200,000 tokens and offers a competitive edge over OpenAI’s GPT-5, which features a 400,000 token context window. Companies utilizing Anthropic’s cloud services, including Amazon Bedrock and Google Cloud’s Vertex AI, will also benefit from this expanded context. Anthropic has established itself as a major player in the enterprise AI sector by providing Claude to various coding platforms, including Microsoft’s GitHub Copilot and others like Windsurf and Anysphere’s Cursor. While Claude has gained popularity among developers, OpenAI’s GPT-5 is emerging as a formidable competitor with its attractive pricing and robust coding capabilities. Anysphere CEO Michael Truell recently supported OpenAI in announcing GPT-5, which has now become the default AI model for users in Cursor. In a recent interview with TechCrunch, Brad Abrams, Anthropic’s product lead for the Claude platform, expressed optimism about the benefits this update will bring to AI coding platforms. When asked about potential impacts from GPT-5 on Claude’s API usage, Abrams remained confident, stating that he is pleased with the growth of their API business. Unlike OpenAI, which primarily generates revenue through consumer subscriptions to ChatGPT, Anthropic focuses on selling its AI models to businesses via APIs. This strategy positions AI coding platforms as crucial clients, prompting the company to introduce new features to stay competitive against GPT-5. Last week, Anthropic also revealed an upgraded version of its flagship model, Claude Opus 4.1, further enhancing its AI coding functionality. Generally, AI models benefit from larger context windows, particularly when tackling software engineering tasks that require a comprehensive understanding of a project. Abrams noted that the extensive context window of Claude enhances its performance on long coding tasks, allowing the AI to retain its previous steps over extended periods. However, some competitors have pushed the limits of context windows even further; for instance, Google’s Gemini 2.5 Pro offers a 2 million token capacity, while Meta’s Llama 4 Scout boasts a staggering 10 million tokens. Research indicates that there may be a threshold to the effectiveness of these vast context windows, as AI models can struggle with processing excessively large prompts. Abrams mentioned that Anthropic's research team concentrated on not just increasing the context limits, but also on enhancing the “effective context window” to ensure that Claude comprehends most of the information it receives, although he refrained from disclosing the specific methodologies used. As part of this update, users submitting prompts over 200,000 tokens will incur additional charges, with prices set at $6 per million input tokens and $22.50 per million output tokens, up from previous rates of $3 and $15, respectively.