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QbitAI reports that Zhipu is rolling out a GLM-5.3-Highspeed model to random subscribers in Zcode 3.15.1, where one user showed output at 490 tokens per second, versus a 200 tokens/s peak for last month's GLM-5.3-FlashX. Pi's model catalog lists it with a 1M-token context and 128k max output; Zhipu has not formally announced it.
Z.ai's GLM-5.3 is now available on Amazon Bedrock, with enterprise customers able to call it through Bedrock's managed API without deploying their own inference infrastructure, per multiple reports. AWS pays Zhipu per invocation, the first time a Chinese frontier lab's model earns usage-based revenue on AWS. Access requires an AWS account and IAM permissions via the standard Bedrock API.
QbitAI reports Colibri, a fast-growing open-source project on GitHub, runs 700-billion-parameter GLM models on laptops without a GPU by using SSD storage as memory.