OpenAI's ChatGPT has been accessible for a number of years, having first been introduced in 2022. Since its inception, the AI tool has provided a complimentary option for users to engage with the chatbot. Subsequently, the company rolled out ChatGPT Plus, which is priced at ₹1,999 in India. Recently, OpenAI has unveiled a new service tier: ChatGPT Pro, which comes at a premium cost. Specifically, it is set at $200 per month, equating to nearly ₹17,000 in Indian Rupees. For this substantial fee, OpenAI has incorporated a range of distinctive and advanced features that are not available in the lower service tiers.

What does ChatGPT Pro offer?

The company indicates that its $200 monthly subscription offers unlimited access to its most sophisticated AI model, OpenAI o1, in addition to GPT-4o. The Pro subscription further encompasses Advanced Voice Features and grants access to the o1 Pro Mode, which enables users to utilize enhanced computational power.

This increased computational capacity allows the model to "think harder" and tackle intricate problems effectively. OpenAI has also mentioned that the Pro tier will eventually incorporate even more robust computing resources and features aimed at enhancing productivity.

OpenAI has marketed ChatGPT Pro as a resource for researchers, engineers, and professionals who require research-grade intelligence to enhance their daily productivity.

ChatGPT Pro Unveiled: How It Stacks Up Against ChatGPT Plus and Free Versions

OpenAI states that ChatGPT Pro grants users unlimited access to its most advanced model, which delivers highly dependable responses. The o1 Pro Mode is specifically designed to produce precise and thorough answers in specialized areas such as data science, programming, and legal case analysis. Furthermore, the company emphasizes that the o1 Pro Mode demonstrates enhanced performance in machine learning benchmarks across various disciplines, including mathematics, science, and coding.

Subscribers to ChatGPT Pro can utilize the o1 Pro Mode via the model selector. However, due to the computational demands of this model, response times may be extended, and users will observe a progress indicator while the model formulates a response.

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