# Apertus v1.5 8B vs GLM-5.3 (slim)

> GLM-5.3 scores 64.6 (B) to Apertus v1.5 8B's 61 (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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GLM-5.3 scores 64.6 (B) on agent readiness against Apertus v1.5 8B's 61 (C), and leads in 1 of 4 scored categories. Apertus v1.5 8B leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Apertus v1.5 8B: C 61, rank #35 of 100 open-weight models · https://www.anchorterminal.com/tools/apertus-v1-5-8b.min.md
- GLM-5.3: B 64.6, rank #17 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-5-3.min.md
- Apertus v1.5 8B, good for Agents that want a fully open, multilingual 8B with image and audio input on one 24 GB GPU, and can run a publisher fork of vLLM. Ahead on Risk, 75 against 50; Agent interface, 85 against 70; Documentation and upkeep, 84 against 58.
- 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 Reach, 55 against 40.

| Category | Apertus v1.5 8B | GLM-5.3 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 55 |
| Risk (20%) | 75 | 50 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 84 | 58 |

| Fact (where they differ) | Apertus v1.5 8B | GLM-5.3 |
| --- | --- | --- |
| Vendor | Swiss AI Initiative (EPFL and ETH Zurich) | Z.ai (Zhipu AI) |
| Licence | Apache-2.0, with the Apertus Acceptable Use Policy (v1.5, 14 July 2026) accepted at the download gate | GLM-5.3 License (MIT-style, with a security review for the largest model-as-a-service operators) |
| Terms last updated |  | no document linked |