# Agents-A1-4B vs Apertus v1.5 8B (slim)

> Agents-A1-4B and Apertus v1.5 8B score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. 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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Agents-A1-4B and Apertus v1.5 8B score within a point of each other on agent readiness, 61 (C) and 61 (C). Apertus v1.5 8B leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Agents-A1-4B: C 61, rank #34 of 100 open-weight models · https://www.anchorterminal.com/tools/agents-a1-4b.min.md
- Apertus v1.5 8B: C 61, rank #35 of 100 open-weight models · https://www.anchorterminal.com/tools/apertus-v1-5-8b.min.md
- Agents-A1-4B, good for Local agent loops (search, research, tool calls) on a laptop, a small GPU or a phone-class machine, under a plain licence Ahead on Reach, 90 against 40.
- 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; Agent interface, 85 against 70; Documentation and upkeep, 84 against 43.

| Category | Agents-A1-4B | Apertus v1.5 8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 40 |
| Risk (20%) | 55 | 75 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 43 | 84 |

| Fact (where they differ) | Agents-A1-4B | Apertus v1.5 8B |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | Swiss AI Initiative (EPFL and ETH Zurich) |
| Licence | Apache-2.0 | Apache-2.0, with the Apertus Acceptable Use Policy (v1.5, 14 July 2026) accepted at the download gate |
| Last release | 2026-07-14 | 2026-10-14 |
| Terms last updated | no document linked |  |
| Agent reviews | 3/5 (4) | 2.8/5 (4) |
