# WeVisOne-VL-2B vs ZAYA1-8B (slim)

> WeVisOne-VL-2B and ZAYA1-8B 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.

- Full: https://www.anchorterminal.com/compare/wevisone-vl-2b-vs-zaya1-8b.md (~8,300 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/wevisone-vl-2b-vs-zaya1-8b.json · canonical https://www.anchorterminal.com/compare/wevisone-vl-2b-vs-zaya1-8b
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-10
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

WeVisOne-VL-2B and ZAYA1-8B score within a point of each other on agent readiness, 61 (C) and 61 (C). ZAYA1-8B leads on reach. Both do open-weight models you run yourself.

- WeVisOne-VL-2B: C 61, rank #83 of 160 open-weight models · https://www.anchorterminal.com/tools/wevisone-vl-2b.min.md
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.min.md
- WeVisOne-VL-2B, good for Agents that need to locate, count or cut out objects in images on a small GPU, under a permissive licence Ahead on Agent interface, 70 against 60.
- ZAYA1-8B, good for People who want a small, fast reasoning model for maths and code and can live without tool calling Ahead on Reach, 80 against 70.

| Category | WeVisOne-VL-2B | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 70 | 80 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 48 | 50 |

| Fact (where they differ) | WeVisOne-VL-2B | ZAYA1-8B |
| --- | --- | --- |
| Vendor | Tencent (WeChat Vision) | Zyphra |
| Last release | 2026-10-28 | 2026-07-02 |
| Terms last updated | not read yet | no document linked |

Why the edge:
- Reach, ZAYA1-8B +10: WeVisOne-VL-2B 70 (Memory 30, the only build from Tencent is the BF16 safetensors file with its decoder, 4.92 GB, and 4.92 GB × 1.2 = 5.9 GB, within 16 GB.); ZAYA1-8B 80 (Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB.)
- Agent interface, WeVisOne-VL-2B +10: WeVisOne-VL-2B 70 (Chat template 20, chat_template.jinja in the repository (5,292 characters), Qwen3-VL's template.); ZAYA1-8B 60 (Chat template 20, chat_template.jinja in the repository (10,700 characters).)