# GLM-4.7-Flash vs Granite 4.2 30B (slim)

> GLM-4.7-Flash scores 63 (B) to Granite 4.2 30B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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GLM-4.7-Flash scores 63 (B) on agent readiness against Granite 4.2 30B's 61 (C), and leads in 0 of 4 scored categories. Granite 4.2 30B leads on reach and documentation and upkeep. Both do open-weight models you run yourself.

- GLM-4.7-Flash: B 63, rank #26 of 160 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-flash.min.md
- Granite 4.2 30B: C 61, rank #65 of 160 open-weight models · https://www.anchorterminal.com/tools/granite-4-2-30b.min.md
- GLM-4.7-Flash, good for Agents and developers who want a small, permissively licensed tool-calling model on one 24 to 32 GB GPU or Mac, in almost any runtime
- Granite 4.2 30B, good for Agents that want a documented, signed, Apache 2.0 reasoning model with tool calling on a 24 GB card Ahead on Reach, 90 against 80; Documentation and upkeep, 87 against 28.

| Category | GLM-4.7-Flash | Granite 4.2 30B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 90 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 28 | 87 |

| Fact (where they differ) | GLM-4.7-Flash | Granite 4.2 30B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | IBM |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-01-29 | 2026-09-04 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, Granite 4.2 30B +59: GLM-4.7-Flash 28 (The card covers architecture, parameters and languages and misses four of the seven items, for 8. Training data is 0, as the card describes none.); Granite 4.2 30B 87 (Model card 17, Intended use (best for), limitations (ethical considerations and limitations), architecture, parameters (30B), context length (128K native) and 1…)
- Reach, Granite 4.2 30B +10: GLM-4.7-Flash 80 (Memory earns 25, since Ollama's smallest build is the 19 GB q4_K_M one, about 22.8 GB with the fifth added, which fits 24 GB.); Granite 4.2 30B 90 (Memory 25, IBM's own 4-bit MLX build granite-4.2-30b-q4-mlx is 16.47 GB, and 16.47 GB × 1.2 = 19.8 GB, which fits 24 GB but not 16 GB.)