Artificial Analysis says Z.ai’s GLM-5.2 has taken the top open-weight position on its Intelligence Index, with a score of 51, a 1 million-token context window, and first-party API pricing of $1.40 per 1 million input tokens and $4.40 per 1 million output tokens.
Artificial Analysis has ranked Z.ai’s GLM-5.2 as the leading open-weight model on its Artificial Analysis Intelligence Index.
In an article and model analysis page, Artificial Analysis reports that GLM-5.2 Reasoning ranks #1 among 92 models in its open-weight comparison, with an Artificial Analysis Intelligence Index score of 51. The firm describes GLM-5.2 as an open-weight model and lists a 1 million-token context window.
Artificial Analysis’ Intelligence Index is a composite benchmark used by the publisher to compare model capability across its evaluated set. In this case, the reported score places GLM-5.2 ahead of other open-weight models tracked by Artificial Analysis, according to the company’s own ranking page.
Artificial Analysis also lists Z.ai’s first-party API pricing for GLM-5.2 at $1.40 per 1 million input tokens, $4.40 per 1 million output tokens, and $0.26 per 1 million cache-hit tokens. Those figures are presented by Artificial Analysis as part of its performance and price analysis for the model.
Z.ai’s official GLM-5.2 documentation separately presents the model as its current language model and emphasizes a usable 1 million-token context window. The company’s documentation also says GLM-5.2 is the highest-ranked open-source model across long-horizon coding benchmarks cited by Z.ai, though that claim should be read as Z.ai’s own framing of benchmark performance.
A 1 million-token context window is significant for use cases that require a model to process long inputs, such as large codebases, lengthy documents, or multi-file analysis. However, benchmark ranking and context length do not by themselves determine suitability for a specific deployment. Latency, reliability, licensing terms, safety requirements, and real-world task performance remain important factors for users comparing models.
The result adds another competitive entry to the open-weight model landscape, where developers and enterprises often weigh transparency, deployability, and cost against the performance of closed commercial models. Artificial Analysis’ ranking gives GLM-5.2 a prominent position in that comparison, particularly for teams tracking open-weight alternatives with long-context capabilities.
The available source material does not establish independent third-party validation beyond Artificial Analysis’ ranking and Z.ai’s own documentation. Still, the combination of a high Intelligence Index score, open-weight availability as described by Artificial Analysis, and published first-party API pricing gives developers concrete data points to evaluate GLM-5.2 against other models.
For now, the clearest source-backed takeaway is that Artificial Analysis places GLM-5.2 at the top of its open-weight Intelligence Index, while Z.ai highlights the model’s long-context design and coding benchmark performance in its official documentation.
Artificial Analysis has ranked Z.ai’s GLM 5.2 as the leading open weight model on its Artificial Analysis Intelligence Index.
The firm describes GLM 5.2 as an open weight model and lists a 1 million token context window.
Artificial Analysis’ Intelligence Index is a composite benchmark used by the publisher to compare model capability across its evaluated set.
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