# GLM-4.7-Flash vs Qwen3.5-0.8B (slim)

> GLM-4.7-Flash scores 63 (B) to Qwen3.5-0.8B's 46.7 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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GLM-4.7-Flash scores 63 (B) on agent readiness against Qwen3.5-0.8B's 46.7 (D), and leads in 2 of 5 scored categories. Qwen3.5-0.8B leads on documentation and upkeep. Both do open-weight models you run yourself.

- GLM-4.7-Flash: B 63, rank #26 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-flash.min.md
- Qwen3.5-0.8B: D 46.7, rank #97 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-0-8b.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 Capability, 59 against 17; Agent interface, 85 against 60.
- Qwen3.5-0.8B, good for Builders who want a near-free local helper or fine-tuning base for narrow tasks on a phone-class device, laptop or CPU Ahead on Documentation and upkeep, 37 against 28.

| Category | GLM-4.7-Flash | Qwen3.5-0.8B |
| --- | --- | --- |
| Capability (35%) | 59 | 17 |
| Reach (25%) | 80 | 80 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 28 | 37 |

| Fact (where they differ) | GLM-4.7-Flash | Qwen3.5-0.8B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-01-29 | 2026-03-02 |