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

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.

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.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

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