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daily AI Model Tracker

Model Card|GLM-5.3-Flash

GLM-5.3-Flash: 320B total / 18B active parameters (MoE), 1M context / 131K max output, natively accepts text + image + video input, MIT-licensed weights on HuggingFace; standard pricing $0.15 input / $0.50 output per 1M tokens (50% launch discount to $0.075/$0.25 through Sept 9), roughly 90% cheaper than sibling model GLM-5.3; Terminal-Bench 2.1 hits 84.3 (just behind Opus 4.8's 85.0), DeepSWE 1.1 jumps from GLM-5.2's 46.2 to 63.4; under its 'Ox Alpha' alias it briefly took the #1 weekly token share spot on OpenRouter

daily AI Model Tracker

Model Card|GLM-5.3

GLM-5.3: same GLM-5.2 base model, pure post-training gains, 1M context / 128K max output, pricing unchanged at $1.4 input / $4.4 output (per 1M tokens), Terminal-Bench 3.0 jumps from 4.6% to 28.3% (open-source SOTA), CyberGym vulnerability discovery 84.5% surpasses every listed closed-source frontier model. Zhipu delayed weight release until safety evaluation completes (~8/28)

GLM——From a Tsinghua Lab to a 744B Open-Source Flagship, and GLM-5.3's Cybersecurity Surge

GLM is Zhipu AI (Z.ai)'s open LLM family from Tsinghua's KEG Lab. GLM-5.3 (2026/08) lifts coding +50% over the previous generation, hits 84.5% on CyberGym ahead of Anthropic Mythos 5 and OpenAI GPT-5.6 Sol, and scores 60 on the Artificial Analysis Intelligence Index tied with Kimi K3 for open-source #1. The only frontier open model trained entirely on Huawei Ascend.