很多人发帖说Z ai“benchmaxxing”来制作这个模型。我认为事实是混乱的，而且是多方面的： 1. 是的，Zai 可能比 OpenAI/Ant 更关心公共基准，有助于营销 2. Zai 并没有将基准优化到模型被炒掉的程度（如果他们这样做了，他们会修复它 - 他们可能在内部经常使用这个模型） 3. Zai 可能有一个更窄的模型擅长的任务分布。 5.2 擅长代理的东西，而不是其他的 4. GLM 没有远见 - 单一模态肯定更容易 5. Zai 绝对非常擅长他们所做的事情，可能比 OpenAI/Ant 计算效率更高 6. Zai 的发布时间可能是几天而不是像 OpenAI/Ant 那样的几个月 - 这让他们非常高兴 所有人在一起，似乎是一个完美的策略，并祝贺发布 - 很高兴权重能够进行更广泛的测试。
Lots of people posting about Z ai “benchmaxxing” to make this model. I think the truth is messy and many faceted: 1. Yes Zai probably cares slightly more about public benchmarks than OpenAI/Ant, helps with marketing 2. Zai is not benchmaxxing to the point where the model is fried (if they did, they’ll fix it - they likely use this model internally a lot) 3. Zai likely has a narrower distribution of tasks the model is great at. 5.2 was great at agentic stuff, not the rest 4. GLM has not had vision - single modality is definitely easier 5. Zai is definitely extremely good at what they do, likely well more compute efficient than OpenAI/Ant 6. Time to release for Zai is likely days not months like OpenAI/Ant - this massively flatters them All together, seems like a perfectly good strategy and congrats on the release - excited for the weights to be out for more broader testing.
继续核对订阅折算为 5,868 美元 API 工作量、每月 3.2 千万亿 token 与最高节省 30%、GLM 是否只在较窄任务分布占优；这些数字会影响成本与模型选择，但当前尚无独立口径。
2 条出现 · AIHOT 精确重复
Z.ai 发布 GLM-5.3，基于 743B 基座模型后训练，主打顶尖编程与智能体能力，并称在网络安全领域树立开源模型新标准。Nathan Lambert 认为 Z.ai 并非"刷分"，其任务分布更窄、发布周期以天计，且计算效率优于 OpenAI/Anthropic，整体是合理策略。
很多人发帖说Z ai“benchmaxxing”来制作这个模型。我认为事实是混乱的，而且是多方面的： 1. 是的，Zai 可能比 OpenAI/Ant 更关心公共基准，有助于营销 2. Zai 并没有将基准优化到模型被炒掉的程度（如果他们这样做了，他们会修复它 - 他们可能在内部经常使用这个模型） 3. Zai 可能有一个更窄的模型擅长的任务分布。
Lots of people posting about Z ai “benchmaxxing” to make this model. I think the truth is messy and many faceted: 1. Yes Zai probably cares slightly more about public benchmarks than OpenAI/Ant, helps with marketing 2. Zai is not benchmaxxing to the point where the model is fried (if they did, they’ll fix it - they likely use this model internally a lot) 3. Zai likely has a narrower distribution of tasks the model is great at. 5.2 was great at agentic stuff, not the rest 4. GLM has not had vision - single modality is definitely easier 5. Zai is definitely extremely good at what they do, likely well more compute efficient than OpenAI/Ant 6. Time to release for Zai is likely days not months like OpenAI/Ant - this massively flatters them All together, seems like a perfectly good strategy and congrats on the release - excited for the weights to be out for more broader testing.