# GLM-4.5-Air vs Ling-3.1-flash-1019 (slim)

> GLM-4.5-Air scores 60.3 (C) 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.

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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-4.5-Air scores 60.3 (C) on agent readiness against Ling-3.1-flash-1019's 54.8 (C), and leads in 3 of 4 scored categories. Ling-3.1-flash-1019 leads on documentation and upkeep. Both do open-weight models you run yourself.

- GLM-4.5-Air: C 60.3, rank #90 of 160 open-weight models · https://www.anchorterminal.com/tools/glm-4-5-air.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-4.5-Air, good for Agents with two to four datacentre GPUs, or a provider account, who want a permissively licensed English and Chinese tool-calling model with wide runtime support. Ahead on Reach, 70 against 60; Risk, 65 against 45; Agent interface, 85 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 Ahead on Documentation and upkeep, 56 against 38.

| Category | GLM-4.5-Air | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 60 |
| Risk (20%) | 65 | 45 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 38 | 56 |

| Fact (where they differ) | GLM-4.5-Air | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | inclusionAI (Ant Group) |
| Last release | 2025-08-11 | 2026-11-04 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Agent interface, GLM-4.5-Air +25: GLM-4.5-Air 85 (Chat template 20, a Jinja file in the repository.); 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.)
- Risk, GLM-4.5-Air +20: GLM-4.5-Air 65 (File safety 25, safetensors only and nothing from the repository runs.); 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…)
- Documentation and upkeep, Ling-3.1-flash-1019 +18: GLM-4.5-Air 38 (Model card 8 of 20, intended use, parameters and languages only.); Ling-3.1-flash-1019 56 (Model card 11, Intended use (complex reasoning, multi-step tasks and agentic workflows), architecture, parameters (560B total, 25B active) and context (1M claim…)
- Reach, GLM-4.5-Air +10: GLM-4.5-Air 70 (Memory 5 of 30, Z.ai's smallest build is FP8 at 112.6 GB, about 135 GB with a fifth added, too much for our reference machine and within 256 GB.); Ling-3.1-flash-1019 60 (Memory 0, inclusionAI's only build is the FP8 release at 573.78 GB, × 1.2 = 688.5 GB, above 256 GB, and no runtime's library has a build.)