GLM-5.3 Is Now Available on DeepInfra

DeepInfra has made Z.ai’s GLM-5.3 reasoning model available through its platform, positioning it for complex software engineering, cybersecurity, and long-horizon agentic workflows. Built on the same base model as GLM-5.2, GLM-5.3’s reported improvements come solely from expanded reinforcement-learning post-training, using long-context processing, long-horizon optimization, and asynchronous training infrastructure. Z.ai reports substantial gains in coding and security benchmarks, including stronger results on Terminal Bench, DeepSWE, CyberGym, and ExploitGym, though many figures originate from internal or company-run evaluations and are not independently reproducible. The model supports a roughly one-million-token context window, function calling, JSON output, and three always-on reasoning settings, with maximum effort recommended for coding tasks. Z.ai also reports that its models have identified thousands of vulnerabilities in real codebases, although most findings remain under embargo. On DeepInfra, GLM-5.3 is offered through an OpenAI-compatible API with promotional, usage-based token pricing, optional Flex discounts, fp4 quantization, and platform security features including zero data retention and SOC 2 and ISO 27001 certifications.

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