# GLM-5.3-Flash vs Qwen3.5-0.8B (slim)

> GLM-5.3-Flash scores 65.1 (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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- 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-Flash scores 65.1 (B) on agent readiness against Qwen3.5-0.8B's 46.7 (D), and leads in 3 of 5 scored categories. Qwen3.5-0.8B leads on reach. Both do open-weight models you run yourself.

- GLM-5.3-Flash: B 65.1, rank #16 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3-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-5.3-Flash, good for Teams with a multi-GPU server who want an MIT-licensed multimodal agent model with a 1M-token context, or agents that call it through a hosted provider Ahead on Capability, 75 against 17; Agent interface, 70 against 60; Documentation and upkeep, 58 against 37.
- 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 Reach, 80 against 60.

| Category | GLM-5.3-Flash | Qwen3.5-0.8B |
| --- | --- | --- |
| Capability (35%) | 75 | 17 |
| Reach (25%) | 60 | 80 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 58 | 37 |

| Fact (where they differ) | GLM-5.3-Flash | Qwen3.5-0.8B |
| --- | --- | --- |
| Vendor | Z.ai | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-08-26 | 2026-03-02 |