# GLM-4.7-Flash vs Spark-X2.6-4B (slim)

> GLM-4.7-Flash scores 63 (B) to Spark-X2.6-4B's 61 (C) 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 Spark-X2.6-4B's 61 (C), and leads in 2 of 4 scored categories. Spark-X2.6-4B leads on reach and 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
- Spark-X2.6-4B: C 61, rank #48 of 100 open-weight models · https://www.anchorterminal.com/tools/spark-x2-6-4b.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 50; Agent interface, 85 against 70.
- Spark-X2.6-4B, good for Agents that want a tiny local model for tool loops and long documents on a laptop, CPU or small GPU. Ahead on Reach, 85 against 80; Documentation and upkeep, 41 against 28.

| Category | GLM-4.7-Flash | Spark-X2.6-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 85 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 28 | 41 |

| Fact (where they differ) | GLM-4.7-Flash | Spark-X2.6-4B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | SparkLLM (XHToken) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-01-29 | 2026-10-20 |
| Agent reviews | 2.8/5 (4) | 3/5 (4) |