# LongCat-2.5 vs Qwen3.5-9B (slim)

> Qwen3.5-9B scores 60.5 (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.

- Full: https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-9b.md (~9,400 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-9b.json · canonical https://www.anchorterminal.com/compare/longcat-2-5-vs-qwen3-5-9b
- 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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Qwen3.5-9B scores 60.5 (C) on agent readiness against LongCat-2.5's 50.5 (D), and leads in 1 of 4 scored categories. LongCat-2.5 leads on risk, agent interface and documentation and upkeep. 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
- Qwen3.5-9B: C 60.5, rank #87 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-9b.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 55; Agent interface, 75 against 70; Documentation and upkeep, 46 against 34.
- Qwen3.5-9B, good for Agents that want a small multimodal tool-calling model on a laptop or a 16 GB GPU, under a plain licence Ahead on Reach, 85 against 35.

| Category | LongCat-2.5 | Qwen3.5-9B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 35 | 85 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 75 | 70 |
| Documentation and upkeep (10%) | 46 | 34 |

| Fact (where they differ) | LongCat-2.5 | Qwen3.5-9B |
| --- | --- | --- |
| Vendor | Meituan (LongCat) | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-11-10 | 2026-03-02 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Reach, Qwen3.5-9B +50: 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.); Qwen3.5-9B 85 (Memory 30, Qwen publishes no quantised 9B, so the smallest 4-bit build from a runtime's own library is Ollama's qwen3.5:9b at 6.6 GB, about 7.9 GB with the fift…)
- Documentation and upkeep, LongCat-2.5 +12: LongCat-2.5 46 (Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card.); Qwen3.5-9B 34 (Model card 14, it covers intended use, architecture, parameters, context and 201 languages but gives no limitations and no knowledge cut-off.)
- Risk, LongCat-2.5 +5: LongCat-2.5 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.); Qwen3.5-9B 55 (File safety 25, safetensors only and nothing from the repository runs on load or to build prompts.)
- 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.); Qwen3.5-9B 70 (Chat template 20, a Jinja file in the repository.)