# EXAONE 4.5 33B vs GLM-4.5-Air (slim)

> EXAONE 4.5 33B 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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EXAONE 4.5 33B 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 reach and risk. Both do open-weight models you run yourself.

- EXAONE 4.5 33B: C 61, rank #61 of 160 open-weight models · https://www.anchorterminal.com/tools/exaone-4-5-33b.min.md
- 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
- EXAONE 4.5 33B, good for Researchers and students working on documents, Korean or multimodal agents who don't need commercial rights Ahead on Documentation and upkeep, 50 against 38.
- 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 65; Risk, 65 against 50.

| Category | EXAONE 4.5 33B | GLM-4.5-Air |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 70 |
| Risk (20%) | 50 | 65 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 50 | 38 |

| Fact (where they differ) | EXAONE 4.5 33B | GLM-4.5-Air |
| --- | --- | --- |
| Vendor | LG AI Research | Z.ai (Zhipu AI) |
| Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | MIT |
| Last release | 2026-07-06 | 2025-08-11 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Risk, GLM-4.5-Air +15: EXAONE 4.5 33B 50 (File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository.); GLM-4.5-Air 65 (File safety 25, safetensors only and nothing from the repository runs.)
- Documentation and upkeep, EXAONE 4.5 33B +12: EXAONE 4.5 33B 50 (Model card 20, Uses (the quickstart's question answering, document and agent examples), limitations, the architecture, the parameters, the context, the language…); GLM-4.5-Air 38 (Model card 8 of 20, intended use, parameters and languages only.)
- Reach, GLM-4.5-Air +5: EXAONE 4.5 33B 65 (Memory 20, the smallest build at 4 bits is LG's IQ4_XS GGUF, 18.03 GB with the 2.57 GB projector, and 20.60 GB × 1.2 = 24.7 GB, within 32 GB.); 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.)