# Qwen3.6-35B-A3B vs WeVisOne-VL-2B (slim)

> Qwen3.6-35B-A3B scores 62.7 (B) to WeVisOne-VL-2B'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: 2026-11-10
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Qwen3.6-35B-A3B scores 62.7 (B) on agent readiness against WeVisOne-VL-2B's 61 (C), and leads in 1 of 4 scored categories. WeVisOne-VL-2B leads on documentation and upkeep. Both do open-weight models you run yourself.

- Qwen3.6-35B-A3B: B 62.7, rank #27 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-6-35b-a3b.min.md
- WeVisOne-VL-2B: C 61, rank #83 of 160 open-weight models · https://www.anchorterminal.com/tools/wevisone-vl-2b.min.md
- Qwen3.6-35B-A3B, good for Agents with a 32 GB or larger machine that want a quick, permissively licensed coding and tool-calling cousin with vision. Ahead on Reach, 85 against 70.
- 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 Documentation and upkeep, 48 against 31.

| Category | Qwen3.6-35B-A3B | WeVisOne-VL-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 70 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 70 | 70 |
| Documentation and upkeep (10%) | 31 | 48 |

| Fact (where they differ) | Qwen3.6-35B-A3B | WeVisOne-VL-2B |
| --- | --- | --- |
| Vendor | Alibaba (Qwen team) | Tencent (WeChat Vision) |
| Last release | 2026-04-16 | 2026-10-28 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Documentation and upkeep, WeVisOne-VL-2B +17: Qwen3.6-35B-A3B 31 (The model card earns 11, covering intended use, architecture, parameters and context but not limitations, languages or a cut-off.); WeVisOne-VL-2B 48 (Model card 8, Intended use, limitations and the architecture are on the card.)
- Reach, Qwen3.6-35B-A3B +15: Qwen3.6-35B-A3B 85 (Memory earns 20 because the smallest 4-bit build from a runtime's own library is Ollama's Q4_K_M at 23 GB, which comes to 27.6 GB with the fifth added, so it ne…); 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.)