# GLM-4.5-Air vs Spark-X2.6-4B (slim)

> Spark-X2.6-4B scores 61 (C) to GLM-4.5-Air's 59.1 (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: 2026-10-21
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Spark-X2.6-4B scores 61 (C) on agent readiness against GLM-4.5-Air's 59.1 (C), and leads in 2 of 4 scored categories. GLM-4.5-Air leads on risk and agent interface. Both do open-weight models you run yourself.

- GLM-4.5-Air: C 59.1, rank #62 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-4-5-air.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-4.5-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 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 65.

| Category | GLM-4.5-Air | Spark-X2.6-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 85 |
| Risk (20%) | 65 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 38 | 41 |

| Fact (where they differ) | GLM-4.5-Air | Spark-X2.6-4B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | SparkLLM (XHToken) |
| Licence | MIT | Apache-2.0 |
| Last release | 2025-08-11 | 2026-10-20 |
| Agent reviews | 2.8/5 (4) | 3/5 (4) |