Meta is stepping up its AI plans with Muse Wonder, a new model built to handle hard tasks. But the big question is how much users must pay, and what they get for their money.
Meta launches its new AI models
As reported by CNBC, Meta has launched Muse Wonder and Muse Wonder Full, two new AI models aimed at tasks that need more thought, planning and work over time. The models mark Meta’s move into the top tier of AI systems. They are designed to take on complex coding work and tasks that need several steps to finish.
The launch took place on October 12, 2026. It is part of Meta’s wider push to compete with major AI firms such as OpenAI and Anthropic. The two models serve different needs. Muse Wonder is available through Meta’s API and its Muse Code tool. Muse Wonder Full is the more powerful option and is limited to paid Muse Code users.
Meta says both models can help users build software, fix code and manage long tasks, it can come in handy for various business and personal use. Meta says the new models are among its most capable AI systems to date. Still, claims about their performance should be judged with care.
What do the $20 and $100 plans offer?
The $20 and $100 prices refer to monthly Muse subscriptions, not the cost of every AI request. The Power plan costs $20 a month, while the higher Maximum plan costs $100 a month. Both offer access to Muse Wonder, with different usage limits. The new model is part of Meta’s effort to make its AI assistant more useful. The paid plans give users more room to use the tool, while the free option has limits.
Developers also have another way to use the model. Muse Wonder costs $4 per million input tokens and $20 per million output tokens through Meta’s Model API. Tokens are small units of text and other data that AI systems process. Muse Wonder Full has a different access plan. Meta lists its Power Usage plan at $50 a month and its Maximum Usage plan at $200 a month. These are separate from the $20 and $100 Muse subscriptions.

Can Meta challenge its rivals?
Meta says its new models can match leading systems from OpenAI and Anthropic on several tests. The company also points to better support for long tasks, coding and the use of computer tools. The launch drew a positive response from investors. Meta shares rose about 3.4% on October 12. Yet one day’s rise does not prove that the new models will bring lasting gains.
There are still questions to answer. AI tools can make errors, and a strong score on a test does not always mean better results in daily use. Meta must also give people a reason to pay. Rivals already offer strong AI tools, and users may not want another monthly bill unless the new service saves them time or helps them do better work.
Author’s opinion
Meta’s new models look like a serious step forward. Still, claims about speed and skill are only part of the story. The service must work well, earn trust and offer clear value before users will see it as worth a monthly fee.
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