With over 500 large models integrated and user incentives introduced, can Yupp, led by a16z with a $33.00 million funding round, become a decentralized and authoritative AI model "rating engine"?

With the rapid development of AI technology, large model products from various companies are constantly emerging, such as ChatGPT and DeepSeek.

However, there are far more AI models on the market than just these. According to data released by Yupp, which recently secured funding, its platform has integrated over 500 models, including open-source and closed-source models such as ChatGPT, Claude, Gemini, Grok, and Llama, and the number continues to grow. But the more models there are, the harder it is to choose.

Most users prefer to use well-known products rather than trying them one by one, which not only makes it difficult to find the most suitable model for themselves but also limits the exposure of new models.

To this end, Yupp has built a decentralized AI model feedback market based on real user behavior, attempting to support users in comparing and mixing models through incentive mechanisms, while providing developers with objective and comprehensive user feedback.

In fact, Yupp's decentralized AI model feedback market is achieved through two steps.

First, Yupp provides users with a unified entry point. As long as users register on the Yupp platform and enter a Prompt, they can receive answers from two different AI models at once (users can also choose more models themselves), and users only need to choose the answer they prefer.

If users don't want to read lengthy AI replies, they can also directly view short replies from Yupp QuickTake AI.

As mentioned earlier, Yupp not only integrates open-source models but also closed-source commercial models. So how does Yupp open up AI models that require payment to users? This is actually achieved through Yupp's core mechanism, VIBE Score (Vibe Intelligence BEnchmark).

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