# GLM-4.7-Flash vs Kimi K3.1 Pro (slim)

> GLM-4.7-Flash scores 63 (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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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
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GLM-4.7-Flash scores 63 (B) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in 3 of 4 scored categories. Kimi K3.1 Pro leads on documentation and upkeep. Both do open-weight models you run yourself.

- GLM-4.7-Flash: B 63, rank #26 of 160 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-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-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 40; Risk, 55 against 50; Agent interface, 85 against 65.
- 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 Ahead on Documentation and upkeep, 51 against 28.

| Category | GLM-4.7-Flash | Kimi K3.1 Pro |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 40 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 85 | 65 |
| Documentation and upkeep (10%) | 28 | 51 |

| Fact (where they differ) | GLM-4.7-Flash | Kimi K3.1 Pro |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Moonshot AI |
| Licence | MIT | Kimi K3.1 Pro License (modified MIT) |
| Last release | 2026-01-29 | 2026-11-05 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, GLM-4.7-Flash +40: GLM-4.7-Flash 80 (Memory earns 25, since Ollama's smallest build is the 19 GB q4_K_M one, about 22.8 GB with the fifth added, which fits 24 GB.); 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, Kimi K3.1 Pro +23: GLM-4.7-Flash 28 (The card covers architecture, parameters and languages and misses four of the seven items, for 8. Training data is 0, as the card describes none.); Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.)
- Agent interface, GLM-4.7-Flash +20: GLM-4.7-Flash 85 (A Jinja chat template sits in the repository, for 20. The tool-calling format is the full 25, because Z.ai itself names the glm47 parser for vLLM and SGLang, sa…); Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.)
- Risk, GLM-4.7-Flash +5: GLM-4.7-Flash 55 (File safety is full, with safetensors only and the card loading it through Transformers' own code without remote code.); Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.)