glm-5.3:cloud

What’s new

• Stronger coding — Terminal-Bench 3.0 improves from 4.6 to 28.3, DeepSWE v1.1 from 46.2 to 66.9, and Terminal-Bench 2.1 from 81.0 to 88.2 over GLM-5.2.
• Long-horizon agentic tasks — SWE-Marathon more than doubles (19.4 → 42.5), with the top scores in Z.ai’s evaluations on AutomationBench (48.2) and GDPval-AA v2 (1769).
• Security research — state of the art on CyberGym (84.5) for vulnerability discovery.
• Adjustable reasoning effort — reasoning_effort accepts low , high , and max , and defaults to max . For chat, set clear_thinking to true .
• 1M token context window — the same long context as GLM-5.2, for project-level engineering work and long-running sessions.

Benchmarks