# Arete-27B vs GLM-4.5-Air (slim)

> GLM-4.5-Air scores 60.3 (C) to Arete-27B's 55.1 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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GLM-4.5-Air scores 60.3 (C) on agent readiness against Arete-27B's 55.1 (C), and leads in 3 of 4 scored categories. Arete-27B leads on documentation and upkeep. Both do open-weight models you run yourself.

- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.min.md
- GLM-4.5-Air: C 60.3, rank #90 of 160 open-weight models · https://www.anchorterminal.com/tools/glm-4-5-air.min.md
- Arete-27B, good for Agents that want Qwen3.8-27B's coding and tool use without its handling of politically sensitive topics, on a 24 GB card or a 128 GB machine Ahead on Documentation and upkeep, 63 against 38.
- GLM-4.5-Air, good for Agents with two to four datacentre GPUs, or a provider account, who want a permissively licensed English and Chinese tool-calling model with wide runtime support. Ahead on Reach, 70 against 50; Risk, 65 against 55; Agent interface, 85 against 60.

| Category | Arete-27B | GLM-4.5-Air |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 70 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 63 | 38 |

| Fact (where they differ) | Arete-27B | GLM-4.5-Air |
| --- | --- | --- |
| Vendor | Nous Research | Z.ai (Zhipu AI) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-11-06 | 2025-08-11 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Agent interface, GLM-4.5-Air +25: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); GLM-4.5-Air 85 (Chat template 20, a Jinja file in the repository.)
- Documentation and upkeep, Arete-27B +25: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); GLM-4.5-Air 38 (Model card 8 of 20, intended use, parameters and languages only.)
- Reach, GLM-4.5-Air +20: Arete-27B 50 (Memory 10, the only build from Nous Research is the 54.7 GB BF16 release, which needs about 66 GB and fits the reference machine.); GLM-4.5-Air 70 (Memory 5 of 30, Z.ai's smallest build is FP8 at 112.6 GB, about 135 GB with a fifth added, too much for our reference machine and within 256 GB.)
- Risk, GLM-4.5-Air +10: Arete-27B 55 (File safety 25, safetensors only and no remote code.); GLM-4.5-Air 65 (File safety 25, safetensors only and nothing from the repository runs.)