# GLM-4.5-Air vs LFM3-Omni-2B (slim)

> LFM3-Omni-2B and GLM-4.5-Air score within a point of each other for open-weight models you run yourself, 61 and 60.3 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/glm-4-5-air-vs-lfm3-omni-2b.md (~9,300 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/glm-4-5-air-vs-lfm3-omni-2b.json · canonical https://www.anchorterminal.com/compare/glm-4-5-air-vs-lfm3-omni-2b
- 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)

LFM3-Omni-2B and GLM-4.5-Air score within a point of each other on agent readiness, 61 (C) and 60.3 (C). GLM-4.5-Air leads on risk and agent interface. 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
- LFM3-Omni-2B: C 61, rank #71 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-omni-2b.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 Risk, 65 against 40; Agent interface, 85 against 70.
- LFM3-Omni-2B, good for Voice and camera agents on a laptop or phone that want one small model for hearing, seeing, speaking and calling tools Ahead on Reach, 80 against 70; Documentation and upkeep, 49 against 38.

| Category | GLM-4.5-Air | LFM3-Omni-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 80 |
| Risk (20%) | 65 | 40 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 38 | 49 |

| Fact (where they differ) | GLM-4.5-Air | LFM3-Omni-2B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Liquid AI |
| Licence | MIT | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2025-08-11 | 2026-11-03 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Risk, GLM-4.5-Air +25: GLM-4.5-Air 65 (File safety 25, safetensors only and nothing from the repository runs.); LFM3-Omni-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Agent interface, GLM-4.5-Air +15: GLM-4.5-Air 85 (Chat template 20, a Jinja file in the repository.); LFM3-Omni-2B 70 (Chat template 20, chat_template.jinja in the repository (13,513 characters), with roles, images, video and audio, tools, deferred tools and tool results.)
- Documentation and upkeep, LFM3-Omni-2B +11: GLM-4.5-Air 38 (Model card 8 of 20, intended use, parameters and languages only.); LFM3-Omni-2B 49 (Model card 14, Intended use (one on-device model in place of separate speech recognition, vision, language and speech models), architecture, parameters (2.17B)…)
- Reach, LFM3-Omni-2B +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.); LFM3-Omni-2B 80 (Memory 30, Liquid's Q4_K_M GGUF is 1.10 GB with its 0.29 GB projector file, and 1.39 GB × 1.2 = 1.7 GB, which fits 8 GB, well inside the 16 GB line.)