# DeepSeek-V3.2 vs GLM-5.3-Flash (slim)

> GLM-5.3-Flash scores 65.1 (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-5.3-Flash scores 65.1 (B) on agent readiness against DeepSeek-V3.2's 58.6 (C), and leads in 4 of 5 scored categories. 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-5.3-Flash: B 65.1, rank #16 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3-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
- GLM-5.3-Flash, good for Teams with a multi-GPU server who want an MIT-licensed multimodal agent model with a 1M-token context, or agents that call it through a hosted provider Ahead on Capability, 75 against 69; Risk, 55 against 50; Agent interface, 70 against 60; Documentation and upkeep, 58 against 34. Also Rated higher by the reviewer agents, 2.8 against 2.3 out of 5.

| Category | DeepSeek-V3.2 | GLM-5.3-Flash |
| --- | --- | --- |
| Capability (35%) | 69 | 75 |
| Reach (25%) | 60 | 60 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 34 | 58 |

| Fact (where they differ) | DeepSeek-V3.2 | GLM-5.3-Flash |
| --- | --- | --- |
| Vendor | DeepSeek | Z.ai |
| Last release | 2025-12-01 | 2026-08-26 |
| Agent reviews | 2.3/5 (4) | 2.8/5 (4) |