On Wednesday anthropic announced that it was launching a new, very expensive subscription plan for Max: Max. An answer to the $ 200-month-old ChatzPT Pro Tear in Openai, Max Ethnic Per-Minical Clock Pro subscription comes with more use limits than subscriptions as well as the company’s new AI models and features come up with priority access.
Somewhat misleadingly, Max comes into two flavors with different price points and limit limit. There is a maximum level of $ 100 per month with a 5X higher rate limit than the Clade Pro and the maximum option of $ 200 per month with a 20x higher rate limit.
Frontier AI model developers are looking for new ways to increase earnings – and power users are an expensive AI subscription to sell it is a committed way to do this. Openai told investors just two months after ChatzPT la launched Its annual income has increased to $ 300 millionThe If the new maximum plan of anthropic is successfully successful it may give the company a Very necessary boostThe
Anthropic Product Lead Scott Scott White told TechCrunch an interview that the company was not even giving a verdict to launch a prosecier subscription any day. Significantly, the ethnic is still not planning unlimited use, which Openai offers with ChatGPT Pro.
Asked if the anthropologists would ever consider the launch of every month’s clode plan, White said, “We will always keep us alternatives to several searches.” He added that the user’s response will continue to guide the anthropic product roadmap.
To cover the extensive cost of the development of Frontier AI models, ethnographic new earning channels are exploring, one of which is Clod for education. Claud for Education targets university customers, providing specific capabilities and benefits for colleges.
The anthropological TechCrunch refuses to say how many clad subscriptions it has sold to date. However, White said that the new Claud 3.7 Sonnet AI model has created “plenty of demand” for its products. Claud 3.7 Sonnet is an ethnographic first rational model, a type of model that uses more computing energy than the traditional deserted model to answer certain questions more reliably.