Coding Models

GLM-5 vs Codex (GPT-5.2-Codex)

GLM-5 vs Codex for coding. Z.ai's open-weight agentic-engineering flagship against OpenAI's GPT-5.2-Codex. Refactors, harnesses and cost compared.

GLM-5 is the open-weight model built specifically for the work Codex targets: agentic engineering and long-horizon coding. Z.ai's 744B MoE led the open-weights intelligence index at launch and performs strongly inside popular harnesses like Claude Code, Cline and Roo Code, with open weights you can self-host to slash costs.

Codex (GPT-5.2-Codex) is the premium, closed alternative — superb at large refactors, migrations, Windows support and security-aware automation, with deep ChatGPT integration. Codex leads on the hardest engineering and consistency; GLM-5 delivers a large share of that agentic capability at open-weight prices. For budget-conscious or self-hosted teams, GLM-5 is the standout; for maximum reliability on big tasks, Codex holds the edge.

Which should you choose?

GLM-5if you want top open-weight agentic coding you can self-host.
Codex (GPT-5.2-Codex)if you need the strongest large-scale, security-aware engineering.

The verdict

Codex leads on top-end refactors, migrations and security automation; GLM-5 offers strong agentic coding with open weights at far lower cost. Choose by budget and your need to self-host.

Watch the comparison

GLM-5 vs Codex (GPT-5.2-Codex) — video reviews on YouTubeWatch hands-on tests and side-by-side demos

Frequently asked questions

Is GLM-5 good for coding agents?

Yes — it's tuned for agentic engineering and shines in harnesses like Claude Code and Cline, at open-weight prices.

Can GLM-5 match Codex?

On everyday agentic coding it gets close and is far cheaper; Codex still leads on the largest, hardest engineering tasks.

Sources & further reading

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