# GLM-4.7-Flash vs LFM3-Audio-2B (slim)

> GLM-4.7-Flash scores 63 (B) to LFM3-Audio-2B's 61 (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-4-7-flash-vs-lfm3-audio-2b.md (~8,700 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/glm-4-7-flash-vs-lfm3-audio-2b.json · canonical https://www.anchorterminal.com/compare/glm-4-7-flash-vs-lfm3-audio-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
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GLM-4.7-Flash scores 63 (B) on agent readiness against LFM3-Audio-2B's 61 (C), and leads in 1 of 4 scored categories. LFM3-Audio-2B 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
- LFM3-Audio-2B: C 61, rank #70 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm3-audio-2b.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 Risk, 55 against 40.
- LFM3-Audio-2B, good for Voice agents on a laptop or phone that need speech in, speech out and tool calls from one small model Ahead on Documentation and upkeep, 52 against 28.

| Category | GLM-4.7-Flash | LFM3-Audio-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 80 |
| Risk (20%) | 55 | 40 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 28 | 52 |

| Fact (where they differ) | GLM-4.7-Flash | LFM3-Audio-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 | 2026-01-29 | 2026-11-03 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, LFM3-Audio-2B +24: 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.); LFM3-Audio-2B 52 (Model card 17, Intended use (local agents, tool calling, structured outputs, fine-tuning), limitations (not recommended for agentic coding or complex multi-step…)
- Risk, GLM-4.7-Flash +15: GLM-4.7-Flash 55 (File safety is full, with safetensors only and the card loading it through Transformers' own code without remote code.); LFM3-Audio-2B 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
