# GLM-4.5-Air vs SenseNova-Loop-9B-Preview (slim)

> GLM-4.5-Air scores 60.3 (C) to SenseNova-Loop-9B-Preview's 46.8 (D) 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-sensenova-loop-9b-preview.md (~9,950 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/glm-4-5-air-vs-sensenova-loop-9b-preview.json · canonical https://www.anchorterminal.com/compare/glm-4-5-air-vs-sensenova-loop-9b-preview
- 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
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GLM-4.5-Air scores 60.3 (C) on agent readiness against SenseNova-Loop-9B-Preview's 46.8 (D), and leads in 3 of 4 scored categories. SenseNova-Loop-9B-Preview leads on documentation and upkeep. 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
- SenseNova-Loop-9B-Preview: D 46.8, rank #155 of 160 open-weight models · https://www.anchorterminal.com/tools/sensenova-loop-9b-preview.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, 70 against 40; Risk, 65 against 50; Agent interface, 85 against 60.
- SenseNova-Loop-9B-Preview, good for Researchers who want to study or fine-tune a looped transformer, more than agents that need a model to call today Ahead on Documentation and upkeep, 44 against 38.

| Category | GLM-4.5-Air | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 40 |
| Risk (20%) | 65 | 50 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 38 | 44 |

| Fact (where they differ) | GLM-4.5-Air | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | SenseTime (SenseNova) |
| Licence | MIT | Apache-2.0 |
| Last release | 2025-08-11 | 2026-11-02 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, GLM-4.5-Air +30: 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.); SenseNova-Loop-9B-Preview 40 (Memory 15, the only build is the safetensors set, 38.14 GB with its MTP head, since the Hub counts 9.41B of its parameters in F32. Runtimes 0, none of the six r…)
- Agent interface, GLM-4.5-Air +25: GLM-4.5-Air 85 (Chat template 20, a Jinja file in the repository.); SenseNova-Loop-9B-Preview 60 (Chat template 20, chat_template.jinja in the repository (7,756 characters).)
- Risk, GLM-4.5-Air +15: GLM-4.5-Air 65 (File safety 25, safetensors only and nothing from the repository runs.); SenseNova-Loop-9B-Preview 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Documentation and upkeep, SenseNova-Loop-9B-Preview +6: GLM-4.5-Air 38 (Model card 8 of 20, intended use, parameters and languages only.); SenseNova-Loop-9B-Preview 44 (Model card 14, Intended use, the architecture, the parameter counts, the training context and the languages (in the metadata) are on the card.)