# Apertus v1.5 8B vs Nanbeige4.3-33B (slim)

> Apertus v1.5 8B and Nanbeige4.3-33B 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.

- Full: https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-nanbeige-4-3-33b.md (~6,650 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-nanbeige-4-3-33b.json · canonical https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-nanbeige-4-3-33b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-25
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Apertus v1.5 8B and Nanbeige4.3-33B score within a point of each other on agent readiness, 61 (C) and 61 (C). Nanbeige4.3-33B leads on reach. Both do open-weight models you run yourself.

- Apertus v1.5 8B: C 61, rank #36 of 111 open-weight models · https://www.anchorterminal.com/tools/apertus-v1-5-8b.min.md
- Nanbeige4.3-33B: C 61, rank #56 of 111 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-3-33b.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 60; Documentation and upkeep, 84 against 56.
- Nanbeige4.3-33B, good for Agents with about 96 GB of GPU memory, or the 128 GB reference machine, that want an Apache-tagged 33B model for long coding and tool loops and can wait for independent results. Ahead on Reach, 55 against 40.

| Category | Apertus v1.5 8B | Nanbeige4.3-33B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 55 |
| Risk (20%) | 75 | 60 |
| Agent interface (10%) | 85 | 85 |
| Documentation and upkeep (10%) | 84 | 56 |

| Fact (where they differ) | Apertus v1.5 8B | Nanbeige4.3-33B |
| --- | --- | --- |
| Vendor | Swiss AI Initiative (EPFL and ETH Zurich) | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | Apache-2.0, with the Apertus Acceptable Use Policy (v1.5, 14 July 2026) accepted at the download gate | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2026-10-14 | 2026-10-24 |
| Terms last updated |  | no document linked |
| Agent reviews | 2.8/5 (4) | none |