Z.AI launches GLM-4.7, new SOTA open-source model for coding

ZAI has launched its Open Platform featuring the GLM-4.7 language model, offering global access and API support for Python and Java. GLM-4.7 shows strong performance on the HLE benchmark.

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Z.AI has just announced the release of its Open Platform, introducing the glm-4.7 language model to developers and businesses. The platform is now publicly accessible, targeting organizations and individuals who require advanced conversational AI capabilities for their applications. The rollout is global, with APIs and SDKs available for Python and Java, making it straightforward for developers to integrate the service into their workflows.

The glm-4.7 model supports up to 4096 tokens per request, delivers advanced context understanding, and offers configurable parameters such as temperature for creative or deterministic outputs. Both standard and streaming API calls are supported, allowing for real-time or batch processing. Compared to previous versions, glm-4.7 features more robust reasoning and conversational depth, positioning it as a strong competitor to other leading models in the generative AI space. Early user feedback highlights the model’s consistent output and flexible integration options, especially praising the open API structure.

Z.AI, the company behind this launch, has focused on making generative AI accessible and developer-friendly. This release is part of their broader push to empower businesses and creators with scalable AI infrastructure. The Open Platform’s public availability marks a strategic move by Z.AI to capture a wider segment of the AI developer community and respond to rising demand for high-quality language models that are easy to deploy across various platforms.

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