# GLM-5.3 vs Kimi K3.1 Pro (slim)

> GLM-5.3 scores 64.6 (B) to Kimi K3.1 Pro's 48.6 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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GLM-5.3 scores 64.6 (B) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.

- GLM-5.3: B 64.6, rank #21 of 160 open-weight models · https://www.anchorterminal.com/tools/glm-5-3.min.md
- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.min.md
- GLM-5.3, good for Teams with an 8-GPU server who want an open coding and long-horizon agent model with a 1M-token context, or agents that call it through Z.ai or a hosted provider Ahead on Reach, 55 against 40; Agent interface, 70 against 65; Documentation and upkeep, 58 against 51.
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API

| Category | GLM-5.3 | Kimi K3.1 Pro |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 40 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 70 | 65 |
| Documentation and upkeep (10%) | 58 | 51 |

| Fact (where they differ) | GLM-5.3 | Kimi K3.1 Pro |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Moonshot AI |
| Licence | GLM-5.3 License (MIT-style, with a security review for the largest model-as-a-service operators) | Kimi K3.1 Pro License (modified MIT) |
| Last release | 2026-10-15 | 2026-11-05 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, GLM-5.3 +15: GLM-5.3 55 (Memory earns nothing, since Z.ai's smallest build is the 755.6 GB FP8 one, about 907 GB with the fifth added, and Ollama only lists a cloud entry.); Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.)
- Documentation and upkeep, GLM-5.3 +7: GLM-5.3 58 (The card covers intended use, languages and context and misses limitations, architecture, parameters and cut-off, for 8. Training data is 5, a description of th…); Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.)
- Agent interface, GLM-5.3 +5: GLM-5.3 70 (A Jinja chat template sits in the repository, for 20. The tool-calling format is 10, since it is defined only by the template and the glm47 parser is named by v…); Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.)