Anthropic announced on Wednesday that he introduces a latest, very expensive subscription plan for his AI Chatbot Claude: Max. Answer at the CHATGPT PRO level worth $ 200 per USD, Max has higher use limits than Claude Pro subscription in the amount of USD 20 per $ 20 per month, in addition to priority access to the latest models and the company’s AI functions.
A bit misleading, Max has two flavors with different price points and use limits. There is a maximum level of $ 100 with a 5x higher rate limit than Claude Pro and a maximum option of $ 200 per month with 20 times rate limits.
Developers Model Frontier AI are looking for latest ways to extend revenues – and offering advanced to users expensive subscription AI appears to be a promising solution to do it. Just two months after starting ChatgPT Pro, Openai apparently told investors His annual revenues increased by $ 300 million. If Max Anthropica’s latest plan has been successful, it may possibly give it to the company A Very needed for topping up.
Scott White, leading in the Anthropica product, said Techcrunch in an interview that the company does not exclude even dearer subscriptions one day. In particular, Anthropic still does not have an unlimited use plan, which OpenAI offers from ChatGPT PRO.
Asked if Anthropic will ever consider launching the Claude plan worth $ 500 per month, White said: “We will always have a number of exploration options for us.” He added that user feedback will proceed to direct the Anthropic map.
To meet the huge costs of developing AI Frontier models, Anthropic is investigating various latest revenue channels, one of which is Claude for Education. Claude for Education is addressed to college clients, providing specific opportunities and advantages for universities.
Anthropic refused to say TechCrunch how much Claude has sold so far. However, White said that the latest model AI Claude 3.7 Claude 3.7 created “high demand” for its products. Sonet Claude 3.7 is the first model of Anthropik’s reasoning, a style of model that uses greater computing power than traditional models for more reliable answers to some questions.