glm-5.3:cloud

1,677 8 hours ago

Z.ai's flagship model and the most capable open-weights model for coding, with major gains on long-horizon agentic tasks.

tools thinking cloud
Usage
high
Context
1M tokens
Size
753B parameters 
ollama run glm-5.3:cloud

Readme

This model is hosted in the United States and Europe. Like all other models on Ollama’s cloud, this model follows Ollama’s privacy policy with zero data retention.

GLM-5.3 is Z.ai’s flagship model and the most capable open-weights model for coding, with major gains on long-horizon agentic tasks.

GLM-5.3 uses the same base model as GLM-5.2 — every gain comes from post-training. Compared with GLM-5.2, it is much better at complex coding and long-horizon tasks, including a 50% improvement on Z.ai’s in-house Code Bench.

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.

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Agentic coding

GLM-5.3 is built for coding agents, including Claude Code, OpenCode, Hermes Agent, and OpenClaw. Z.ai’s results below were measured in the Claude Code harness with maximum reasoning effort.

Benchmarks

Benchmark GLM-5.3 GLM-5.2 Kimi K3 DeepSeek-V4 Pro-0813 Qwen3.8-Max Opus 4.8 Fable 5 GPT-5.6 Sol
Terminal Bench 2.1 88.2 81.0 88.3 87.9 86.6 85.0 88.0 88.8
Terminal Bench 3.0 28.3 4.6 17.4 – – 21.1 33.7 34.6
DeepSWE (v1.1) 66.9 46.2 67.5 62.7 56.6 58.0 69.7 72.7
NL2Repo 58.0 48.9 58.0 61.1 55.9 69.7 – –
ProgramBench (Almost Solved) 19.0 9.5 17.5 – 10.5 15.5 33.0 23.0
FrontierSWE 78.1 67.5 – – – 66.5 88.2 –
SWE-Marathon (v1.1) 42.5 19.4 48.1 – – 48.8 33.1 42.5
PostTrainBench 39.8 31.7 32.0 – – 32.9 41.8 36.2
CyberGym 84.5 77.2 80.0 83.3 78.5 78.1 83.8 83.6
ExploitGym (2h / 6h) 105 / 130 29 / 39 36 / 70 – 14 / 26 80 / 120 181 / 247 216 / 293
ExploitBench 54.4 24.4 32.2 – 28.8 40.0 78.0 76.5
Toolathlon Verified 73.0 59.9 76.5 74.1 72.5 76.2 74.7 74.9
AutomationBench (v1.0.6) 48.2 26.2 46.7 43.2 39.8 41.0 46.2 45.8
Agents’ Last Exam (ALE-CLI) 28.5 23.8 27.6 25.7 27.0 25.7 23.8 28.6
HLE w/ Tools 62.5 54.7 59.8 60.0 56.2 57.9 63.9 64.5
GDPval-AA v2 1769 1508 1682 1590 1739 1588 1743 1730

Reference