GLM-5 Redefines Open Weights AI: A New Benchmark on the Artificial Analysis Intelligence Index

GLM-5 just made waves, becoming the first open weights model to score 50 on the Artificial Analysis Intelligence Index, significantly closing the gap with proprietary AI giants.

The Fifty-Point Leap: Open Weights Takes the Lead

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.

Agentic Ambition: Mastering Real-World Tasks

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.

Smarter, Sharper, and Less Prone to Piffle

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.

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

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.

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.