# Kronos vs Qwen3-30B-A3B-Instruct-2507 (slim)

> Qwen3-30B-A3B-Instruct-2507 scores 56.6 (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-qwen3-30b-a3b-instruct-2507.md (~6,700 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/kronos-vs-qwen3-30b-a3b-instruct-2507.json · canonical https://www.anchorterminal.com/compare/kronos-vs-qwen3-30b-a3b-instruct-2507
- 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)

Qwen3-30B-A3B-Instruct-2507 scores 56.6 (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 #86 of 110 open-weight models · https://www.anchorterminal.com/tools/kronos.min.md
- Qwen3-30B-A3B-Instruct-2507: C 56.6, rank #78 of 110 open-weight models · https://www.anchorterminal.com/tools/qwen3-30b-a3b-instruct-2507.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 26.
- Qwen3-30B-A3B-Instruct-2507, good for Agents that want a fast, capable instruct model on one 24 GB GPU or a 32 GB Mac, with a plain licence and long context. Ahead on Reach, 90 against 55; Risk, 55 against 50; Agent interface, 75 against 60.

| Category | Kronos | Qwen3-30B-A3B-Instruct-2507 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 90 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 61 | 26 |

| Fact (where they differ) | Kronos | Qwen3-30B-A3B-Instruct-2507 |
| --- | --- | --- |
| Vendor | Yu Shi (shiyu-coder, NeoQuasar), Tsinghua University | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-04-13 | 2025-09-17 |
| Popularity | 43k stars | none |
| Agent reviews | none | 2.8/5 (4) |