# Granite 4.2 8B vs WeVisOne-VL-2B (slim)

> Granite 4.2 8B and WeVisOne-VL-2B 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/granite-4-2-8b-vs-wevisone-vl-2b.md (~9,250 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/granite-4-2-8b-vs-wevisone-vl-2b.json · canonical https://www.anchorterminal.com/compare/granite-4-2-8b-vs-wevisone-vl-2b
- 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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Granite 4.2 8B and WeVisOne-VL-2B score within a point of each other on agent readiness, 61 (C) and 61 (C). Both do open-weight models you run yourself.

- Granite 4.2 8B: C 61, rank #66 of 160 open-weight models · https://www.anchorterminal.com/tools/granite-4-2-8b.min.md
- WeVisOne-VL-2B: C 61, rank #83 of 160 open-weight models · https://www.anchorterminal.com/tools/wevisone-vl-2b.min.md
- Granite 4.2 8B, good for Agents that want a documented, signed, Apache 2.0 reasoning model with tool calling on a 16 GB machine Ahead on Reach, 95 against 70; Agent interface, 85 against 70; Documentation and upkeep, 92 against 48.
- 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

| Category | Granite 4.2 8B | WeVisOne-VL-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 70 |
| Risk (20%) | 55 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 92 | 48 |

| Fact (where they differ) | Granite 4.2 8B | WeVisOne-VL-2B |
| --- | --- | --- |
| Vendor | IBM | Tencent (WeChat Vision) |
| Last release | 2026-10-20 | 2026-10-28 |
| Terms last updated | no document linked | not read yet |

Why the edge:
- Documentation and upkeep, Granite 4.2 8B +44: Granite 4.2 8B 92 (Model card 17, Intended use (best for), limitations (ethical considerations and limitations), architecture, parameters (8B), context length (128K native) and 12…); WeVisOne-VL-2B 48 (Model card 8, Intended use, limitations and the architecture are on the card.)
- Reach, Granite 4.2 8B +25: Granite 4.2 8B 95 (Memory 30, IBM's own 4-bit MLX build granite-4.2-8b-q4-mlx is 4.95 GB, and 4.95 GB × 1.2 = 5.9 GB, within 8 GB.); 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.)
- Agent interface, Granite 4.2 8B +15: Granite 4.2 8B 85 (Chat template 20, chat_template.jinja in the repository, with roles, tools, tool responses, the thinking switch and low effort.); WeVisOne-VL-2B 70 (Chat template 20, chat_template.jinja in the repository (5,292 characters), Qwen3-VL's template.)
