GLM-5重新定义开放权重AI：人工智能分析智能指数新基准

GLM-5 刚刚引起轰动，成为第一个在人工智能分析智能指数上得分 50 的开放权重模型，大大缩小了与专有人工智能巨头的差距。

The Fifty-Point Leap: Open Weights Takes the Lead

五十点的飞跃：开放式举重取得领先

In a significant shake-up for the artificial intelligence landscape, Z.ai's latest offering, GLM-5, has officially claimed the top spot among open weights models on the Artificial Analysis Intelligence Index. Scoring an impressive 50, GLM-5 is not just an incremental update; it's the first open weights model to ever achieve this benchmark, marking an 8-point jump from its predecessor, GLM-4.7. This achievement signals a dramatic narrowing of the chasm that once separated open-source innovation from its proprietary counterparts, positioning GLM-5 firmly ahead of other frontier open weights models like Kimi K2.5 and DeepSeek V3.2.

在人工智能领域的一次重大变革中，Z.ai 的最新产品 GLM-5 正式占据了人工智能分析指数开放权重模型的榜首位置。 GLM-5 获得了令人印象深刻的 50 分，它不仅仅是一个增量更新；它还是一个增量更新。它是第一个达到这一基准的开放式重量模型，比其前身 GLM-4.7 提高了 8 点。这一成就标志着曾经将开源创新与其专有同行分开的鸿沟大幅缩小，使 GLM-5 牢牢领先于 Kimi K2.5 和 DeepSeek V3.2 等其他前沿开放权重模型。

Agentic Ambition: Mastering Real-World Tasks

代理野心：掌握现实世界的任务

GLM-5 isn't merely intelligent; it's exceptionally capable. The model boasts the highest Artificial Analysis Agentic Index score among open weights models, hitting 63 and ranking third overall. This prowess is largely driven by its formidable performance on GDPval-AA, a benchmark designed for economically valuable work tasks. From crafting presentations to complex data analysis and even video editing, GLM-5 demonstrates a robust ability to tackle real-world challenges, outperforming many peers and placing it just behind industry titans like Claude Opus 4.6 and GPT-5.2 (xhigh) in practical applications. It's a clear indicator that open weights models are increasingly ready for prime-time enterprise deployment.

GLM-5 不仅具有智能性，而且具有智能性。它非常有能力。该模型在开放权重模型中人工分析代理指数得分最高，达到 63，整体排名第三。这种能力很大程度上得益于其在 GDPval-AA 上的出色表现，GDPval-AA 是专为具有经济价值的工作任务而设计的基准。从制作演示文稿到复杂的数据分析甚至视频编辑，GLM-5 展现出了应对现实世界挑战的强大能力，超越了许多同行，在实际应用中仅次于 Claude Opus 4.6 和 GPT-5.2 (xhigh) 等行业巨头。这是一个明确的迹象，表明开放权重模型越来越适合黄金时段的企业部署。

Smarter, Sharper, and Less Prone to Piffle

更聪明、更敏锐、更不易胡言乱语

Perhaps one of GLM-5's most compelling advancements lies in its drastically reduced propensity for fabrication. The model shows a remarkable improvement on the AA-Omniscience Index, scoring -1 – a staggering 35-point leap from GLM-4.7's -36. This isn't magic; it's a testament to a 56 percentage point reduction in hallucination rates, achieved by the model's intelligent decision to abstain more frequently when uncertain. In an era where AI reliability is paramount, GLM-5 sets a new standard for trustworthiness among models, offering more accurate and less misleading information. It knows what it doesn't know, which, frankly, is a refreshing trait.

也许 GLM-5 最引人注目的进步之一在于它大大降低了制造的可能性。该模型在 AA-Omniscience Index 上显示出显着的改进，得分为 -1，比 GLM-4.7 的 -36 飞跃了 35 分。这不是魔法；这是魔法。这证明了模型在不确定时更频繁地放弃幻觉的明智决策，使幻觉率降低了 56 个百分点。在人工智能可靠性至关重要的时代，GLM-5 为模型的可信度设立了新标准，提供更准确、更少误导性的信息。它知道它不知道的东西，坦率地说，这是一个令人耳目一新的特征。

The Open-Source Advantage: Power, Precision, and Price

开源优势：功耗、精度和价格

Under the hood, GLM-5 is a beast of engineering, scaling to 744B total and 40B active parameters, and integrating DeepSeek Sparse Attention. While its BF16 precision makes for a hefty ~1.5TB footprint, its MIT License and competitive pricing on third-party APIs like Novita AI and Deep Infra Inc. make cutting-edge AI accessible to a broader audience. Running the Artificial Analysis Intelligence Index with GLM-5 costs a mere ~$547 (based on median third-party pricing), proving that top-tier performance doesn't have to break the bank. With increased pre-training data volume (up to 28.5T tokens), GLM-5 is not just a technological marvel; it's a statement. It underscores a growing trend where open weights models are not just catching up but actively challenging the performance and cost-efficiency of their proprietary counterparts, making the AI frontier a more democratic and exciting space for innovation.

从本质上讲，GLM-5 是一个工程巨兽，可扩展到 744B 总参数和 40B 活动参数，并集成 DeepSeek 稀疏注意力。虽然其 BF16 精度造成约 1.5TB 的占用空间，但其 MIT 许可证以及 Novita AI 和 Deep Infra Inc. 等第三方 API 的有竞争力的价格使更广泛的受众可以使用尖端人工智能。使用 GLM-5 运行人工智能分析索引的成本仅为约 547 美元（基于第三方定价中位数），这证明顶级性能并不一定要倾家荡产。随着预训练数据量的增加（高达 28.5T 代币），GLM-5 不仅仅是一个技术奇迹；这是一个声明。它强调了一种日益增长的趋势，即开放权重模型不仅正在迎头赶上，而且积极挑战其专有模型的性能和成本效率，使人工智能前沿成为更加民主和令人兴奋的创新空间。

So, for those keeping score, the game has changed. GLM-5 isn't just playing; it's leading the charge, proving that the future of AI might just be more open, more intelligent, and certainly more entertaining to watch unfold. We're all here for the ride.

因此，对于那些记分的人来说，游戏已经改变了。 GLM-5 不只是用来玩，更是用来玩的。它正在引领潮流，证明人工智能的未来可能会更加开放、更加智能，当然也更加有趣。我们都是来兜风的。