机器之心编辑部 最近，有网友发现了一个很有意思的 bug：MiniMax 的模型似乎不认识「马嘉祺」这三个字。 最开始大家以为只是偶然 bug。结果一测试，事情就变得有点离谱——无论是在不同接口、不同平台，这个问题几乎都能稳定复现。 甚至有人调侃：以后 OpenRouter 上如果又出现一个匿名模型，如果这个模型认不出「马嘉祺」，那它大概率是 MiniMax。 我们也测试了一下，无论是在官网的 Agent 平台，还是通过 OpenRouter 调用 MiniMax API，都成功复现了这一现象。 更有意思的是，有时甚至同时出现了两个不同名字。 不过，仔细观察网友的截图和我们的调用返回可以发现，模型其实能够搜索到马嘉祺的相关资料，并且也能正确输出他的履历信息。只是每当说到名字时， 就会开始「自由发挥」。 从机制上看，大模型并不是以「先完全确认人物、再机械输出名字」的方式工作，而是在理解问题、调取相关知识和组织语言的过程中同步完成生成。因 此，一旦某个特定名字在生成阶段受到额外扰动，模型就可能出现「人物信息基本对，但名字写不准」的现象。 最近一篇论文讨论了 相关的 底层机制问题： 某些看似发生在知识层或推理层的异 ...

Core Viewpoint - The two companies, Zhipu and MiniMax, represent distinct commercialization paths in the AI large model sector, with Zhipu focusing on the B-end market and achieving a gross margin of 50%, while MiniMax targets the C-end market with over 70% of its revenue coming from overseas [2][4]. Group 1: Financial Performance - From 2022 to mid-2025, Zhipu accumulated revenue of 685 million yuan, with cumulative losses exceeding 6.2 billion yuan [4]. - MiniMax reported cumulative revenue of 86 million USD (approximately 600 million yuan) and cumulative losses of about 1.32 billion USD (approximately 9.3 billion yuan) from 2022 to September 2025 [5]. - Both companies operate at a revenue scale in the billion range, with MiniMax's revenue for the first nine months of 2025 being 53.4 million USD (approximately 376 million yuan) and Zhipu's revenue for the same period being 190 million yuan [6]. Group 2: Market Position and Competition - Zhipu's B-end business primarily serves large domestic government and enterprise clients, while MiniMax's C-end business relies on overseas individual users [5][10]. - Zhipu's revenue from enterprise deployments has decreased from 95% to 85% over the past three years, indicating increased competition in the B-end market [8]. - MiniMax's average monthly active users reached 27.6 million, with 1.77 million paying users, but still lagging behind major internet companies [8][9]. Group 3: Investment and Costs - Both companies face significant capital requirements, with Zhipu and MiniMax's cumulative R&D investments being 4.4 billion yuan and 500 million USD (approximately 3.5 billion yuan), respectively [6]. - In the first half of 2025, Zhipu's computing power expenditure was 1.1 billion yuan, while MiniMax's was 140 million USD (approximately 987 million yuan) [7]. - The high costs associated with computing power present a challenge for both companies, as they need to balance low revenue with substantial operational expenses [7]. Group 4: Future Outlook and IPO Strategy - Both companies are vying for the title of the first AI large model stock, with the urgency to go public for financing and providing an exit for external shareholders [12]. - MiniMax has a more robust cash position, with cash reserves of 1.04 billion USD (approximately 733.4 million yuan) as of September 30, 2025, compared to Zhipu's 2.5 billion yuan [12]. - The cash burn rate for Zhipu increased to approximately 2.21 million yuan per month in the first half of 2025, indicating a growing financial strain [12].