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Anthropic launches low-cost Haiku 4.5 model to make AI more accessible for businesses

AI startup Anthropic has unveiled a major update to its smallest model, Haiku, as it seeks to make artificial intelligence more affordable and practical for companies outside Silicon Valley. The new version, Haiku 4.5, costs about one-third as much as Anthropic’s Sonnet 4 and just one-fifteenth the price of its flagship Opus model, while matching or outperforming mid-tier models on tasks like coding and data synthesis.

Chief Product Officer Mike Krieger said the upgrade reflects a growing demand among traditional businesses for cost-effective AI tools that still deliver high performance. “Small models really help because they can be a more economical way of deploying at scale,” Krieger told Reuters, noting that cheaper AI makes it easier for firms to integrate intelligent assistants into systems used by thousands of employees.

Anthropic’s enterprise business now accounts for about 80% of its revenue, with over 300,000 corporate customers using its AI tools internally or within their products. The company’s annual revenue run rate has reached nearly $7 billion, underscoring its rapid ascent in the AI sector.

Founded in 2021 by former OpenAI employees, the San Francisco-based company has become one of the strongest challengers to OpenAI, backed by a recent valuation of $183 billion.

Anthropic’s smaller models, such as Haiku, aim to balance power and affordability at a time when companies are pushing back against the massive computational costs of training and running large-scale AI systems. The firm says businesses can even combine models — using advanced ones for strategic planning and smaller ones for everyday tasks like information synthesis and web searches.

Anthropic Launches Claude Opus 4 AI Model Capable of Autonomous Multi-Hour Coding

AI startup Anthropic has unveiled Claude Opus 4, its most advanced artificial intelligence model to date, claiming the system can now code autonomously for hours — a significant leap in the evolution of long-context, reasoning-driven AI tools. The company also introduced Claude Sonnet 4, a smaller, cost-efficient sibling model designed for broader accessibility.

Backed by tech giants Alphabet (Google) and Amazon, Anthropic has carved a niche in building safe, high-performing AI assistants, with software development and autonomous task execution as core strengths.

What’s New with Claude Opus 4?

  • Autonomous task handling extended from minutes to multiple hours

    • Example: Opus 4 was used by Rakuten to code for nearly 7 hours continuously

    • Another experiment had it play a 24-hour session of Pokémon — up from just 45 minutes with Claude 3.7 Sonnet

  • Enhanced long-form coherence and persistent memory

  • Improved context retention, logic, and decision-making over extended periods

“For AI to truly have the economic and productivity impact that it can, models need to work autonomously and coherently for long periods,” said Mike Krieger, Anthropic’s Chief Product Officer.

Key Technical Upgrades

  • Models now toggle between fast responses and deep reasoning based on the complexity of the task

  • Integrated web search capability for real-time information retrieval

  • Claude Code, Anthropic’s developer tool for software engineering, is now generally available after a February preview

Strategic Context

The release comes in a week marked by major AI updates from Google and OpenAI, reflecting the intensifying race for AI supremacy. With Claude Opus 4, Anthropic positions itself as a strong contender in the high-performance, enterprise-ready AI space — particularly in software engineering, automation, and long-context tasks.

Market Implications

  • Strengthens Anthropic’s value proposition for enterprise use cases such as code generation, virtual R&D assistants, and simulation tools

  • Places pressure on rivals including OpenAI’s GPT-4, Google’s Gemini, and Mistral’s open-weight models

  • Reinforces investor confidence in Anthropic’s multibillion-dollar backers, as the startup moves toward fully autonomous AI agents