# Agents-A1-4B vs GLM-4.5-Air (slim)

> Agents-A1-4B scores 61 (C) to GLM-4.5-Air's 59.1 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Agents-A1-4B scores 61 (C) on agent readiness against GLM-4.5-Air's 59.1 (C), and leads in 2 of 4 scored categories. GLM-4.5-Air leads on risk and agent interface. Both do open-weight models you run yourself.

- Agents-A1-4B: C 61, rank #34 of 100 open-weight models · https://www.anchorterminal.com/tools/agents-a1-4b.min.md
- GLM-4.5-Air: C 59.1, rank #62 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-4-5-air.min.md
- Agents-A1-4B, good for Local agent loops (search, research, tool calls) on a laptop, a small GPU or a phone-class machine, under a plain licence Ahead on Reach, 90 against 65; Documentation and upkeep, 43 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 Risk, 65 against 55; Agent interface, 85 against 70.

| Category | Agents-A1-4B | GLM-4.5-Air |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 65 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 43 | 38 |

| Fact (where they differ) | Agents-A1-4B | GLM-4.5-Air |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | Z.ai (Zhipu AI) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-07-14 | 2025-08-11 |
| Agent reviews | 3/5 (4) | 2.8/5 (4) |
