# Apertus v1.5 8B vs GLM-4.7-Flash (slim)

> GLM-4.7-Flash scores 63 (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-4.7-Flash scores 63 (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 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-4.7-Flash: B 63, rank #26 of 100 open-weight models · https://www.anchorterminal.com/tools/glm-4-7-flash.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 55; Documentation and upkeep, 84 against 28.
- GLM-4.7-Flash, good for Agents and developers who want a small, permissively licensed tool-calling model on one 24 to 32 GB GPU or Mac, in almost any runtime Ahead on Reach, 80 against 40.

| Category | Apertus v1.5 8B | GLM-4.7-Flash |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 80 |
| Risk (20%) | 75 | 55 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 84 | 28 |

| Fact (where they differ) | Apertus v1.5 8B | GLM-4.7-Flash |
| --- | --- | --- |
| 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 | MIT |
| Last release | 2026-10-14 | 2026-01-29 |
| Terms last updated |  | no document linked |