# GLM-5.3 vs Ling-3.0-tiny (slim)

> GLM-5.3 scores 64.6 (B) to Ling-3.0-tiny's 55 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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GLM-5.3 scores 64.6 (B) on agent readiness against Ling-3.0-tiny's 55 (C), and leads in 3 of 5 scored categories. Ling-3.0-tiny leads on reach. Both do open-weight models you run yourself.

- GLM-5.3: B 64.6, rank #17 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3.min.md
- Ling-3.0-tiny: C 55, rank #81 of 100 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.min.md
- GLM-5.3, good for Teams with an 8-GPU server who want an open coding and long-horizon agent model with a 1M-token context, or agents that call it through Z.ai or a hosted provider Ahead on Capability, 80 against 31; Agent interface, 70 against 60.
- Ling-3.0-tiny, good for Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT Ahead on Reach, 90 against 55.

| Category | GLM-5.3 | Ling-3.0-tiny |
| --- | --- | --- |
| Capability (35%) | 80 | 31 |
| Reach (25%) | 55 | 90 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 58 | 56 |

| Fact (where they differ) | GLM-5.3 | Ling-3.0-tiny |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | inclusionAI (Ant Group) |
| Licence | GLM-5.3 License (MIT-style, with a security review for the largest model-as-a-service operators) | MIT |
| Last release | 2026-10-14 | 2026-08-31 |
