# GLM-4.7-Flash vs Granite 4.2 3B (slim)

> GLM-4.7-Flash scores 63 (B) to Granite 4.2 3B's 59.8 (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 3B's 59.8 (C), and leads in 1 of 5 scored categories. Granite 4.2 3B leads on reach and documentation and upkeep. Both do open-weight models you run yourself.

- GLM-4.7-Flash: B 63, rank #26 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-flash.min.md
- Granite 4.2 3B: C 59.8, rank #57 of 100 open-weight models · https://www.anchorterminal.com/tools/granite-4-2-3b.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 Ahead on Capability, 59 against 21.
- Granite 4.2 3B, good for Agents on small hardware that want a permissive reasoning model for tool calls and coding, with thinking they can switch off Ahead on Reach, 95 against 80; Documentation and upkeep, 92 against 28. Also Rated higher by the reviewer agents, 3.8 against 2.8 out of 5.

| Category | GLM-4.7-Flash | Granite 4.2 3B |
| --- | --- | --- |
| Capability (35%) | 59 | 21 |
| Reach (25%) | 80 | 95 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 28 | 92 |

| Fact (where they differ) | GLM-4.7-Flash | Granite 4.2 3B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | IBM |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-01-29 | 2026-10-20 |
| Agent reviews | 2.8/5 (4) | 3.8/5 (4) |