# GLM-4.5-Air vs MiniCPM-V 4.7 35B-A3B (slim)

> MiniCPM-V 4.7 35B-A3B and GLM-4.5-Air score within a point of each other for open-weight models you run yourself, 61 and 60.3 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

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MiniCPM-V 4.7 35B-A3B and GLM-4.5-Air score within a point of each other on agent readiness, 61 (C) and 60.3 (C). GLM-4.5-Air leads on risk and agent interface. Both do open-weight models you run yourself.

- 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
- MiniCPM-V 4.7 35B-A3B: C 61, rank #77 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm-v-4-7-35b-a3b.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 Risk, 65 against 55; Agent interface, 85 against 70.
- MiniCPM-V 4.7 35B-A3B, good for Agents that need to read screenshots, documents and video on a local machine with 24 to 32 GB for the model, under a permissive licence Ahead on Reach, 90 against 70; Documentation and upkeep, 68 against 38.

| Category | GLM-4.5-Air | MiniCPM-V 4.7 35B-A3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 90 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 38 | 68 |

| Fact (where they differ) | GLM-4.5-Air | MiniCPM-V 4.7 35B-A3B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | OpenBMB |
| Licence | MIT | Apache-2.0 |
| Last release | 2025-08-11 | 2026-11-03 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, MiniCPM-V 4.7 35B-A3B +30: GLM-4.5-Air 38 (Model card 8 of 20, intended use, parameters and languages only.); MiniCPM-V 4.7 35B-A3B 68 (Model card 8, it covers intended use, architecture and parameters but not limitations, context length, languages or a knowledge cut-off.)
- Reach, MiniCPM-V 4.7 35B-A3B +20: 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.); MiniCPM-V 4.7 35B-A3B 90 (Memory 25, since OpenBMB's IQ4_XS GGUF with its vision projector is 19.6 GB and needs about 23.6 GB with the fifth added, which fits 24 GB, while its Q4_K_M GGU…)
- Agent interface, GLM-4.5-Air +15: GLM-4.5-Air 85 (Chat template 20, a Jinja file in the repository.); MiniCPM-V 4.7 35B-A3B 70 (Chat template 20, a Jinja file in the repository.)
- Risk, GLM-4.5-Air +10: GLM-4.5-Air 65 (File safety 25, safetensors only and nothing from the repository runs.); MiniCPM-V 4.7 35B-A3B 55 (File safety 25, safetensors and GGUF only, no Python in the main repository and no remote code needed.)