# LongCat-2.5 vs ThinkingCap (Qwen3.8 27B) (slim)

> ThinkingCap scores 61 (C) to LongCat-2.5's 50.5 (D) 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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ThinkingCap (Qwen3.8 27B) scores 61 (C) on agent readiness against LongCat-2.5's 50.5 (D), and leads in 2 of 4 scored categories. LongCat-2.5 leads on risk and agent interface. Both do open-weight models you run yourself.

- LongCat-2.5: D 50.5, rank #145 of 160 open-weight models · https://www.anchorterminal.com/tools/longcat-2-5.min.md
- ThinkingCap (Qwen3.8 27B): C 61, rank #58 of 160 open-weight models · https://www.anchorterminal.com/tools/thinkingcap-qwen3-8-27b.min.md
- LongCat-2.5, good for Operators with NPU clusters, and anyone tracking what the open flagships can do Ahead on Risk, 60 against 45; Agent interface, 75 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 35; Documentation and upkeep, 53 against 46.

| Category | LongCat-2.5 | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 35 | 75 |
| Risk (20%) | 60 | 45 |
| Agent interface (10%) | 75 | 70 |
| Documentation and upkeep (10%) | 46 | 53 |

| Fact (where they differ) | LongCat-2.5 | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Vendor | Meituan (LongCat) | BottleCap AI |
| Licence | MIT | PolyForm-Small-Business-1.0.0 |
| Last release | 2026-11-10 | 2026-10-06 |
| Terms last updated | not read yet | no document linked |
| Privacy policy last updated | no document linked | 2026-01-21 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Reach, ThinkingCap (Qwen3.8 27B) +40: LongCat-2.5 35 (Memory 0, the smallest build is Meituan's W4A4 repository, 1,336 GB, and 1,336 GB × 1.2 = 1,603 GB, far above 256 GB.); ThinkingCap (Qwen3.8 27B) 75 (Memory 25 of 30, BottleCap's IQ4_XS GGUF is 15.5 GB, 18.6 GB with a fifth added, which fits 24 GB.)
- Risk, LongCat-2.5 +15: LongCat-2.5 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); ThinkingCap (Qwen3.8 27B) 45 (File safety 25, safetensors only and no code in the repository.)
- Documentation and upkeep, ThinkingCap (Qwen3.8 27B) +7: LongCat-2.5 46 (Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card.); ThinkingCap (Qwen3.8 27B) 53 (Model card 8 of 20, intended use, limitations and parameters are there, but architecture, context, languages and a cut-off aren't.)
- Agent interface, LongCat-2.5 +5: LongCat-2.5 75 (Chat template 20, chat_template.jinja in the repository (11,823 characters), with a copy in tokenizer_config.json.); ThinkingCap (Qwen3.8 27B) 70 (Chat template 20, the same Jinja template as Qwen3.8-27B, in the repository.)