# Nanbeige4.3-33B vs ThinkingCap (Qwen3.8 27B) (slim)

> Nanbeige4.3-33B and ThinkingCap 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/nanbeige-4-3-33b-vs-thinkingcap-qwen3-8-27b.md (~7,050 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-thinkingcap-qwen3-8-27b.json · canonical https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-thinkingcap-qwen3-8-27b
- 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
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Nanbeige4.3-33B and ThinkingCap (Qwen3.8 27B) score within a point of each other on agent readiness, 61 (C) and 61 (C). ThinkingCap (Qwen3.8 27B) leads on reach. Both do open-weight models you run yourself.

- Nanbeige4.3-33B: C 61, rank #56 of 111 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-3-33b.min.md
- ThinkingCap (Qwen3.8 27B): C 61, rank #54 of 111 open-weight models · https://www.anchorterminal.com/tools/thinkingcap-qwen3-8-27b.min.md
- Nanbeige4.3-33B, good for Agents with about 96 GB of GPU memory, or the 128 GB reference machine, that want an Apache-tagged 33B model for long coding and tool loops and can wait for independent results. Ahead on Risk, 60 against 45; Agent interface, 85 against 70.
- ThinkingCap (Qwen3.8 27B), good for Small teams and individuals running Qwen3.8-27B for agent or reasoning work who want shorter thinking traces on one 24 GB GPU or Mac. Ahead on Reach, 75 against 55.

| Category | Nanbeige4.3-33B | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 75 |
| Risk (20%) | 60 | 45 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 56 | 53 |

| Fact (where they differ) | Nanbeige4.3-33B | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Vendor | Nanbeige LLM Lab (BOSS Zhipin) | BottleCap AI |
| Licence | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) | PolyForm-Small-Business-1.0.0 |
| Last release | 2026-10-24 | 2026-10-06 |
| Privacy policy last updated | no document linked |  |
| Agent reviews | none | 2.5/5 (4) |