# Kronos vs WeVisOne-VL-4B (slim)

> WeVisOne-VL-4B scores 61 (C) to Kronos's 55.2 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/kronos-vs-wevisone-vl-4b.md (~9,050 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/kronos-vs-wevisone-vl-4b.json · canonical https://www.anchorterminal.com/compare/kronos-vs-wevisone-vl-4b
- 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-4B scores 61 (C) on agent readiness against Kronos's 55.2 (C), and leads in 3 of 4 scored categories. Kronos leads on documentation and upkeep. Both do open-weight models you run yourself.

- Kronos: C 55.2, rank #122 of 160 open-weight models · https://www.anchorterminal.com/tools/kronos.min.md
- WeVisOne-VL-4B: C 61, rank #84 of 160 open-weight models · https://www.anchorterminal.com/tools/wevisone-vl-4b.min.md
- Kronos, good for Agents that need a quick local forecast or synthetic sample of a candlestick series on modest hardware, for research or as one input among others. Ahead on Documentation and upkeep, 61 against 48.
- WeVisOne-VL-4B, good for Agents that need to locate, count or cut out objects in images on a small GPU, under a permissive licence Ahead on Reach, 70 against 55; Risk, 55 against 50; Agent interface, 70 against 60.

| Category | Kronos | WeVisOne-VL-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 70 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 61 | 48 |

| Fact (where they differ) | Kronos | WeVisOne-VL-4B |
| --- | --- | --- |
| Vendor | Yu Shi (shiyu-coder, NeoQuasar), Tsinghua University | Tencent (WeChat Vision) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-04-13 | 2026-10-27 |
| Terms last updated | no document linked | not read yet |
| Popularity | 43k stars | none |

Why the edge:
- Reach, WeVisOne-VL-4B +15: Kronos 55 (Memory 30, the publisher's Kronos-mini with its tokeniser is 0.03 GB and even Kronos-base is 0.43 GB in FP32. Runtimes 0, it runs only through the publisher's o…); WeVisOne-VL-4B 70 (Memory 30, the only build from Tencent is the BF16 safetensors file with its decoder, 9.7 GB, and 9.7 GB × 1.2 = 11.6 GB, within 16 GB.)
- Documentation and upkeep, Kronos +13: Kronos 61 (Model card 11, intended use, architecture, parameters and context are there, limitations, languages and a cut-off aren't.); WeVisOne-VL-4B 48 (Model card 8, Intended use, limitations and the architecture are on the card.)
- Agent interface, WeVisOne-VL-4B +10: Kronos 60 (Read for a forecasting model, the tool-calling, trained tool calling and structured-output lines stand for what it takes and returns.); WeVisOne-VL-4B 70 (Chat template 20, chat_template.jinja in the repository (5,292 characters), Qwen3-VL's template.)
- Risk, WeVisOne-VL-4B +5: Kronos 50 (File safety 15, safetensors only, but the only documented loading path is the publisher's Python package in place of a runtime.); WeVisOne-VL-4B 55 (File safety 15, the backbone is safetensors, but mask_decoder.pt, a PyTorch pickle the card calls a required component, sits beside it.)