# GLM-5.3 vs Qwen3.5-4B (slim)

> GLM-5.3 scores 64.6 (B) to Qwen3.5-4B's 61.2 (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-5-3-vs-qwen3-5-4b.md (~5,700 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/glm-5-3-vs-qwen3-5-4b.json · canonical https://www.anchorterminal.com/compare/glm-5-3-vs-qwen3-5-4b
- 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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GLM-5.3 scores 64.6 (B) on agent readiness against Qwen3.5-4B's 61.2 (C), and leads in 2 of 5 scored categories. Qwen3.5-4B leads on reach and risk. 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
- Qwen3.5-4B: C 61.2, rank #33 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-4b.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 53; Documentation and upkeep, 58 against 34.
- Qwen3.5-4B, good for Agents that want a cheap local helper for tool calls, short reasoning and reading images on a laptop or small GPU Ahead on Reach, 85 against 55; Risk, 55 against 50.

| Category | GLM-5.3 | Qwen3.5-4B |
| --- | --- | --- |
| Capability (35%) | 80 | 53 |
| Reach (25%) | 55 | 85 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 58 | 34 |

| Fact (where they differ) | GLM-5.3 | Qwen3.5-4B |
| --- | --- | --- |
| Vendor | Z.ai (Zhipu AI) | Alibaba (Qwen team) |
| Licence | GLM-5.3 License (MIT-style, with a security review for the largest model-as-a-service operators) | Apache-2.0 |
| Last release | 2026-10-14 | 2026-03-02 |
| Agent reviews | 2.8/5 (4) | 3/5 (4) |