# GLM-4.5-Air vs WeVisOne-VL-4B (slim)

> WeVisOne-VL-4B 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.

- Full: https://www.anchorterminal.com/compare/glm-4-5-air-vs-wevisone-vl-4b.md (~8,950 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/glm-4-5-air-vs-wevisone-vl-4b.json · canonical https://www.anchorterminal.com/compare/glm-4-5-air-vs-wevisone-vl-4b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

WeVisOne-VL-4B 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
- WeVisOne-VL-4B: C 61, rank #84 of 160 open-weight models · https://www.anchorterminal.com/tools/wevisone-vl-4b.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.
- WeVisOne-VL-4B, good for Agents that need to locate, count or cut out objects in images on a small GPU, under a permissive licence Ahead on Documentation and upkeep, 48 against 38.

| Category | GLM-4.5-Air | WeVisOne-VL-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 70 |
| Risk (20%) | 65 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 38 | 48 |

| Fact (where they differ) | GLM-4.5-Air | WeVisOne-VL-4B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Tencent (WeChat Vision) |
| Licence | MIT | Apache-2.0 |
| Last release | 2025-08-11 | 2026-10-27 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Agent interface, GLM-4.5-Air +15: GLM-4.5-Air 85 (Chat template 20, a Jinja file in the repository.); WeVisOne-VL-4B 70 (Chat template 20, chat_template.jinja in the repository (5,292 characters), Qwen3-VL's template.)
- Risk, GLM-4.5-Air +10: GLM-4.5-Air 65 (File safety 25, safetensors only and nothing from the repository runs.); WeVisOne-VL-4B 55 (File safety 15, the backbone is safetensors, but mask_decoder.pt, a PyTorch pickle the card calls a required component, sits beside it.)
- Documentation and upkeep, WeVisOne-VL-4B +10: GLM-4.5-Air 38 (Model card 8 of 20, intended use, parameters and languages only.); WeVisOne-VL-4B 48 (Model card 8, Intended use, limitations and the architecture are on the card.)