🤖Meta Unveils Muse Wonder and Wonder Full, Priced at $4 and $20 per Million Tokens
Meta's New AI Models Cost More, Offer More
TL;DR
Meta's Superintelligence Lab released Muse Wonder and Wonder Full, boasting higher benchmark scores than rivals. Wonder Full is exclusive to Muse Code subscribers. Pricing starts at $4 per million input tokens.
Meta's Superintelligence Lab just dropped Muse Wonder and Wonder Full, two new state-of-the-art models. These models are bigger and better, scoring higher on complex tasks and benchmarks like MemoryBench. If you're working with large datasets or need advanced language capabilities, these models could be a game-changer. But they come with a hefty price tag: $4 per million input tokens and $20 per million output tokens. Muse Wonder Full is exclusive to Muse Code subscribers, adding another layer of complexity to your budgeting.
Key Points
Muse Wonder and Wonder Full are larger and more capable than previous models, with higher benchmark scores on complex tasks.
Pricing for Wonder is $4 per million input tokens and $20 per million output tokens, making it costly for heavy users.
Wonder Full is exclusive to Muse Code subscribers, not available through the Meta Model API, adding another layer of complexity.
Muse Wonder scores higher on MemoryBench than Fable, Opus, or Astra, demonstrating superior continual learning and memory construction.
The models were trained at Meta's Prometheus data center in central Ohio, which came online earlier this year.
Why It Matters
If you're working with large datasets or need advanced language capabilities, Muse Wonder and Wonder Full offer significant improvements over previous models. However, the pricing structure means smaller teams or projects might find the cost prohibitive. Larger enterprises with deep pockets and high demand for AI capabilities will likely see the most benefit.
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