# GLM-5.3-Flash vs Ling-3.1-flash-1019 (slim)

> GLM-5.3-Flash scores 65.1 (B) to Ling-3.1-flash-1019's 54.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/glm-5-3-flash-vs-ling-3-1-flash-1019.md (~9,150 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/glm-5-3-flash-vs-ling-3-1-flash-1019.json · canonical https://www.anchorterminal.com/compare/glm-5-3-flash-vs-ling-3-1-flash-1019
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

GLM-5.3-Flash scores 65.1 (B) on agent readiness against Ling-3.1-flash-1019's 54.8 (C), and leads in 3 of 4 scored categories. 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
- Ling-3.1-flash-1019: C 54.8, rank #126 of 160 open-weight models · https://www.anchorterminal.com/tools/ling-3-1-flash-1019.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 Risk, 55 against 45; Agent interface, 70 against 60.
- Ling-3.1-flash-1019, good for Teams with a multi-GPU server that want an MIT-licensed flagship for long agent runs and coding

| Category | GLM-5.3-Flash | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 60 |
| Risk (20%) | 55 | 45 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 58 | 56 |

| Fact (where they differ) | GLM-5.3-Flash | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Vendor | Z.ai | inclusionAI (Ant Group) |
| Last release | 2026-08-26 | 2026-11-04 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Risk, GLM-5.3-Flash +10: 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.); Ling-3.1-flash-1019 45 (File safety 15, safetensors only, no .bin, .pt or .pth files (25), less 10 because the card's documented vLLM command passes --trust-remote-code, which runs the…)
- Agent interface, GLM-5.3-Flash +10: 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…); Ling-3.1-flash-1019 60 (Chat template 20, chat_template.jinja in the repository (6,042 characters), which handles tools, the thinking switch and preserved reasoning.)