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What are the technical highlights of Manus? What is the performance and cost?

Manus The technical highlights of AI Agent are mainly in the following areas:

  • Powerful modeling support: Manus is based on Claude and Qwen, two leading large-scale language models, with additional post-training to optimize performance for Agent application scenarios.
  • Cost-effective SOTA performance: On the GAIA test set, Manus completed a single task at one-tenth the running cost of the competing DeepResearch, delivering excellent price/performance value and industry-leading (SOTA) performance levels.
  • Engineering-driven innovation: Manus team has a wealth of practical experience in engineering, focusing on the practicality and practicality of the product, from the concept of "browser for AI", to create this disruptive product.
  • Flexible arithmetic model: Manus provides two types of computing power modes, high and low. Based on the same model, the high computing power mode realizes more complex and accurate task execution through more fine-grained task disassembly and longer inference chain to meet the needs of different user scenarios.
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