# GLM-4.5-Air vs GLM-5.3 (slim)

> GLM-5.3 scores 64.6 (B) 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.

- Full: https://www.anchorterminal.com/compare/glm-4-5-air-vs-glm-5-3.md (~5,800 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/glm-4-5-air-vs-glm-5-3.json · canonical https://www.anchorterminal.com/compare/glm-4-5-air-vs-glm-5-3
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

GLM-5.3 scores 64.6 (B) on agent readiness against GLM-4.5-Air's 59.1 (C), and leads in 2 of 5 scored categories. GLM-4.5-Air leads on reach, risk and agent interface. Both do open-weight models you run yourself.

- 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
- GLM-5.3: B 64.6, rank #17 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3.min.md
- 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, 65 against 55; Risk, 65 against 50; Agent interface, 85 against 70.
- GLM-5.3, good for Teams with an 8-GPU server who want an open coding and long-horizon agent model with a 1M-token context, or agents that call it through Z.ai or a hosted provider Ahead on Capability, 80 against 50; Documentation and upkeep, 58 against 38.

| Category | GLM-4.5-Air | GLM-5.3 |
| --- | --- | --- |
| Capability (35%) | 50 | 80 |
| Reach (25%) | 65 | 55 |
| Risk (20%) | 65 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 38 | 58 |

| Fact (where they differ) | GLM-4.5-Air | GLM-5.3 |
| --- | --- | --- |
| Licence | MIT | GLM-5.3 License (MIT-style, with a security review for the largest model-as-a-service operators) |
| Last release | 2025-08-11 | 2026-10-14 |