Term
GLM-5.3
GLM-5.3 is Zhipu AIs open-weights model from August 2026 — a MoE model focused on coding and cybersecurity that tops the open-model field on agentic benchmarks.
GLM-5.3 — explained in more detail
GLM-5.3 is an open-weights model from the Chinese provider Zhipu AI and was released on August 14, 2026. The GLM line stands for capable, freely available models; Zhipu describes 5.3 with the line “Scaling post-training is all we did for GLM-5.3”, so the progress came primarily from intensified post-training. The focus is on coding and cybersecurity, where the model reaches the top of the open-model field on agentic benchmarks.
Key facts
- Release: August 14, 2026; open weights on Hugging Face followed a risk review around August 28, 2026.
- Architecture: Mixture-of-Experts with roughly 744B parameters, about 40B active per forward pass.
- Context window: 200,000 tokens.
- Coding: roughly 50 percent better than GLM-5.2 on the in-house benchmark; Terminal-Bench 3.0 rose from 4.6 to 28.3 (first among open models).
- Agents/security: Agents Last Exam (CLI) 28.5 (best open-weight score, just behind GPT-5.6 Sol at 28.6); CyberGym 84.5 percent, ExploitBench 54.4 percent.
Example / Practical use
GLM-5.3 targets operators who want to self-host a top-tier coding model — for coding agents, terminal-based workflows and security analysis. Note the resource demand: running the full weights reportedly requires several GPUs (around eight). The strong agentic coding scores make it one of the most capable open alternatives to proprietary frontier models.
Delimitation
GLM-5.3 is the successor to GLM-5.2 and positions itself as an open counterpart to proprietary top models such as GPT Sol and Claude Mythos 5, which it approaches or narrowly beats on individual agentic and security benchmarks. Against those it keeps the advantage of open weights and self-hosting; the downside is the high infrastructure effort. Direct comparison models are DeepSeek V3.1 and Qwen 3.6.