# GLM-4.5-Air vs LongCat-2.5 (slim)

> GLM-4.5-Air scores 60.3 (C) to LongCat-2.5's 50.5 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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 LongCat-2.5's 50.5 (D), and leads in 3 of 4 scored categories. LongCat-2.5 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
- LongCat-2.5: D 50.5, rank #145 of 160 open-weight models · https://www.anchorterminal.com/tools/longcat-2-5.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 35; Risk, 65 against 60; Agent interface, 85 against 75.
- LongCat-2.5, good for Operators with NPU clusters, and anyone tracking what the open flagships can do Ahead on Documentation and upkeep, 46 against 38.

| Category | GLM-4.5-Air | LongCat-2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 35 |
| Risk (20%) | 65 | 60 |
| Agent interface (10%) | 85 | 75 |
| Documentation and upkeep (10%) | 38 | 46 |

| Fact (where they differ) | GLM-4.5-Air | LongCat-2.5 |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Meituan (LongCat) |
| Last release | 2025-08-11 | 2026-11-10 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, GLM-4.5-Air +35: 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.); LongCat-2.5 35 (Memory 0, the smallest build is Meituan's W4A4 repository, 1,336 GB, and 1,336 GB × 1.2 = 1,603 GB, far above 256 GB.)
- Agent interface, GLM-4.5-Air +10: GLM-4.5-Air 85 (Chat template 20, a Jinja file in the repository.); LongCat-2.5 75 (Chat template 20, chat_template.jinja in the repository (11,823 characters), with a copy in tokenizer_config.json.)
- Documentation and upkeep, LongCat-2.5 +8: GLM-4.5-Air 38 (Model card 8 of 20, intended use, parameters and languages only.); LongCat-2.5 46 (Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card.)
- Risk, GLM-4.5-Air +5: GLM-4.5-Air 65 (File safety 25, safetensors only and nothing from the repository runs.); LongCat-2.5 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)