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Anthropic Introduces Local Claude Pricing In India, Its Second-Largest Market

by THEFUTURE.TEAM

July 14, 2026

Anthropic has begun introducing local pricing for Claude in India, its largest market outside the United States, as global AI companies intensify efforts to expand in one of the world’s fastest-growing technology markets.

Local pricing is now appearing for some users on Claude’s website and mobile apps in India. Unlike OpenAI, however, Anthropic has yet to enable payments through the Unified Payments Interface (UPI), the country’s dominant instant payment system. Indian users must still pay by card or through Apple’s and Google’s app store billing platforms.

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Removing A Barrier For Indian Users

The move removes one of the main barriers for Indian subscribers, who until now had to pay in U.S. dollars and absorb currency conversion costs. According to Anthropic, India accounts for 5.8% of global Claude usage, making it the company’s second-largest market after the United States.

How Claude Is Priced In India

On Claude’s website, the annual Pro plan is priced at ₹2,000 per month (around $21), compared with $17 in the U.S. Claude Max starts at ₹11,999 per month (around $125), versus $100 in the U.S., while Team plans begin at ₹2,399 (around $25) per user each month, compared with $20 in the U.S. Indian prices include local taxes, while pricing on the mobile apps varies slightly.

A Bigger Push Into India

The pricing update forms part of Anthropic’s broader expansion in India. The company opened an office in Bengaluru in February after announcing its plans last October, appointed former Microsoft India managing director Irina Ghose to lead its local operations in January, and has partnered with Infosys and Tata Consultancy Services to expand enterprise AI deployments.

The expansion has not been without challenges. In June, Anthropic suspended access to its Fable 5 and Mythos 5 models for users outside the United States, prompting some Indian developers and startup founders to explore alternatives from other AI providers. Access to Fable 5 has since been restored, while Mythos 5 remains restricted.

India has become a strategic market for AI companies because of its large developer community and expanding technology sector. The challenge now is turning strong user adoption into paid subscriptions in a market where price sensitivity remains high.

Anthropic did not respond to a request for comment.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.