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Anthropic expands the capabilities of its enterprise AI solution: the Claude Sonnet 4 model can now handle requests with context lengths of up to one million tokens. This allows developers to work with significantly larger codebases and projects without constantly splitting requests into fragments.
The new limit means roughly 750,000 words in a single query – five times higher than Claude’s previous limit and more than 400,000 tokens offered by OpenAI’s GPT-5. Such a long context window opens up possibilities for analyzing large code materials, technical documents, and related data simultaneously with a single request.
Anthropic offers access to extended context through its cloud partnerships: Amazon Bedrock and Google Cloud Vertex AI allow using Claude Sonnet 4’s long context in the cloud. This makes it possible for startups and enterprise clients to tackle long-running tasks without having to switch context manually.
Anthropic focuses on monetizing its coding AI models primarily through enterprise APIs. Claude has already become the choice of many developers, notably through integrations with coding platforms such as Microsoft’s GitHub Copilot, Windsurf, and Cursor from Anysphere. Expectations of a GPT-5 competitor in the form of lower costs and higher performance push the company to provide new advantages to stay a notable player in the enterprise coding segment.
Summarizing their stance on development, the head of Claude product at Anthropic, Brad Abrams, said to expect “great benefits” for AI-coding platforms thanks to this update. When asked whether GPT-5 influenced Claude API usage, Abrams replied that he is “very satisfied with the API business and its growth.”
Expanded Context Window and Its Significance for Coding
Changing the context allows Claude Sonnet 4 to see a larger portion of a project at once, increasing accuracy and coherence when creating new features or analyzing large codebases. According to Abrams, the long context window supports a prolonged agentic process – the AI can autonomously work on a task for an extended period, remembering previous steps and decisions.
Platforms and Availability
Anthropic’s cloud partnerships allow companies to integrate Claude Sonnet 4 into their own solutions via well-known platforms: Amazon Bedrock and Google Cloud Vertex AI. The Anthropic ecosystem also maintains partnerships with coding platforms, enabling enterprise clients to implement the model in real-world workflows as efficiently as possible.
Financial Model and Pricing
If requests to Claude Sonnet 4 exceed 200,000 tokens, Anthropic will apply an increased rate. The pricing is $6 per million input tokens and $22.50 per million output tokens. Previously these figures were $3 and $15, respectively. This shift in pricing reflects the company’s aim to sustain cost-effective use of the model for large projects and long analytical sessions.
“great benefits”
“very pleased with the API business and its growth”
The Future of Long Context in Coding and AI
Research in the field shows that even very large context windows have their limits in terms of efficiency. The Anthropic team emphasizes efforts not only to increase the size of the context but also to an “efficient context window” – the model’s ability to understand and use a larger portion of the provided information more rationally. While the exact methods remain an internal priority of the company, the idea of focusing on high-quality context is important for high productivity during complex coding tasks.
Separately, it’s worth noting that the gap between private and public solutions continues to shrink: competitors not only from OpenAI but from other major players are demonstrating increased context capabilities. For Anthropic this means a closer connection with corporate clients and further adaptation of products to the needs of developer teams, engineers, and technical leaders.
As of August 12, 2025, the development of long context remains a key trend in AI for coding: large context windows boost productivity, enable handling vast amounts of data, and reduce the need for manual context management during complex tasks. Anthropic continues to work on algorithmic and economic aspects to ensure long context remains a real advantage for enterprises.
Overall, the development of Claude and its long context window underscores growing interest in tools that support large-scale coding and data analysis projects. For companies focused on efficiency and rapid integration, the new capabilities of Claude Sonnet 4 mean higher team productivity and new horizons in automating software development.
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