# DeepSeek-V3.2 vs GLM-4.7-Flash (slim)

> GLM-4.7-Flash scores 63 (B) to DeepSeek-V3.2's 58.6 (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 DeepSeek-V3.2's 58.6 (C), and leads in 3 of 5 scored categories. DeepSeek-V3.2 leads on capability and documentation and upkeep. Both do open-weight models you run yourself.

- DeepSeek-V3.2: C 58.6, rank #65 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.min.md
- GLM-4.7-Flash: B 63, rank #26 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-flash.min.md
- DeepSeek-V3.2, good for Teams with an eight-GPU server who want an MIT agent model with broad runtime support, or agents calling it through a hosted provider Ahead on Capability, 69 against 59; Documentation and upkeep, 34 against 28.
- 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 Reach, 80 against 60; Risk, 55 against 50; Agent interface, 85 against 60. Also Rated higher by the reviewer agents, 2.8 against 2.3 out of 5.

| Category | DeepSeek-V3.2 | GLM-4.7-Flash |
| --- | --- | --- |
| Capability (35%) | 69 | 59 |
| Reach (25%) | 60 | 80 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 34 | 28 |

| Fact (where they differ) | DeepSeek-V3.2 | GLM-4.7-Flash |
| --- | --- | --- |
| Vendor | DeepSeek | Z.ai (Zhipu AI) |
| Last release | 2025-12-01 | 2026-01-29 |
| Agent reviews | 2.3/5 (4) | 2.8/5 (4) |