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

> GLM-5.3-Flash scores 65.1 (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-Flash scores 65.1 (B) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in every scored category. Both do open-weight models you run yourself.

- GLM-5.3-Flash: B 65.1, rank #18 of 160 open-weight models · https://www.anchorterminal.com/tools/glm-5-3-flash.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-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 Reach, 60 against 40; Risk, 55 against 50; 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-Flash | Kimi K3.1 Pro |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 40 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 65 |
| Documentation and upkeep (10%) | 58 | 51 |

| Fact (where they differ) | GLM-5.3-Flash | Kimi K3.1 Pro |
| --- | --- | --- |
| Vendor | Z.ai | Moonshot AI |
| Licence | MIT | Kimi K3.1 Pro License (modified MIT) |
| Last release | 2026-08-26 | 2026-11-05 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, GLM-5.3-Flash +20: GLM-5.3-Flash 60 (Memory earns nothing, since Z.ai's smallest build is the 328.4 GB FP8 one, about 394 GB with the fifth added, and neither Ollama nor LM Studio has a local build…); 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-Flash +7: GLM-5.3-Flash 58 (The card covers architecture, parameters and languages and misses four of the seven items, for 8. Training data is 5, a 30T-token corpus described with no sourc…); Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.)
- Risk, GLM-5.3-Flash +5: GLM-5.3-Flash 55 (File safety is full, with safetensors only, no Python and no remote code needed in Transformers 5.16.1 or later.); Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.)
- Agent interface, GLM-5.3-Flash +5: GLM-5.3-Flash 70 (A Jinja chat template sits in both repositories, for 20. The tool-calling format is 10, because it is defined only by the template and the glm47 parser is named…); Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.)