I Tried GLM-5.1 on Claude Code (And Discovered Long-Horizon Agentic Coding)
Source: Email 08 bundle sub-article (2026-04-13).
Key takeaways
- GLM-5.1 — Zhipu AI’s model — tested inside Claude Code.
- Author reports discovering “long-horizon agentic coding” capability that the Western open-weights (Gemma 4) doesn’t match.
- Part of the broader signal that Chinese AI labs are shipping capable open-weight alternatives worth knowing about.
Where GLM-5.1 fits vs Gemma 4
| Model | Strengths | Weaknesses |
|---|---|---|
| Gemma 4 | Apache 2.0, wide adoption, solid benchmarks | Less tested on long-horizon tasks |
| GLM-5.1 | Long-horizon coding, Chinese lab’s flagship | License / provenance considerations for some verticals |
| Qwen | Most-downloaded worldwide | Similar provenance considerations |
For Harris
For regulated verticals:
- GLM-5.1 and Qwen raise provenance questions that Gemma 4 doesn’t (Chinese origin vs US/UK origin).
- For public sector, defence, certain financial scenarios — this may limit adoption.
- For research and engineering use cases with lower compliance bar, all three are credible options.
Related Playbook pages
- Local Models — setup generalises across open-weights models
- Qwen — most downloaded
- I ran Gemma 4 in Codex CLI
- Regulated AI — provenance compliance considerations