HK Stock Market Move | MINIMAX-WP(00100) surged more than 10% in the morning and announced the open sourcing of the intelligent agent system performance evaluation set OctoCodingBench.
MINIMAX-WP(00100) rose more than 10% in the morning, as of the time of writing, it was up 8.16% to 387.2 Hong Kong dollars with a trading volume of 352 million Hong Kong dollars.
MINIMAX-WP's morning trading surged by over 10%, reaching an increase of 8.16% at the time of this report, with a price of 387.2 Hong Kong dollars and a trading volume of 352 million Hong Kong dollars.
On the news front, according to a message from MINIMAX-WP's official WeChat account, the company recently announced the open-source release of its research and development code intelligent agent systematic evaluation set - OctoCodingBench. This evaluation set is the industry's first comprehensive assessment benchmark specifically designed for coding agents. The evaluation results show that in the key indicator of "process compliance", some open-source models have performed outstandingly, rapidly approaching or even surpassing the level of some closed-source models in certain scenarios. This phenomenon indicates that in the evolution of artificial intelligence towards the era of intelligent agents, the "data and evaluation paradigm" is gradually replacing single model performance, becoming the new focus of industry competition.
A research report from China Securities Co., Ltd. points out that in the current wave of generative AI sweeping the globe, MINIMAX-WP is standing out from industry competition with a "counter-consensus" strategic focus on model intelligence breakthroughs. As one of the first enterprises in Shanghai to obtain large-scale model filing records, the company is showing strong growth potential through its technological depth and commercial vision. The report predicts that from 2025 to 2027, the company's revenue will continue to grow at a high speed of over 90%, the Non-GAAP gross profit margin is expected to increase to 55%, and the net loss rate will continue to narrow. With the optimization of inference costs and the implementation of a new generation of multimodal models, the company is expected to open up even greater market space in the field of AI-native applications.
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