# LongCat-2.5 vs Qwen3.5-0.8B (slim)

> LongCat-2.5 scores 50.5 (D) to Qwen3.5-0.8B's 46.7 (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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LongCat-2.5 scores 50.5 (D) on agent readiness against Qwen3.5-0.8B's 46.7 (D), and leads in 3 of 4 scored categories. Qwen3.5-0.8B leads on reach. 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
- Qwen3.5-0.8B: D 46.7, rank #156 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-0-8b.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 60; Documentation and upkeep, 46 against 37.
- Qwen3.5-0.8B, good for Builders who want a near-free local helper or fine-tuning base for narrow tasks on a phone-class device, laptop or CPU Ahead on Reach, 80 against 35.

| Category | LongCat-2.5 | Qwen3.5-0.8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 35 | 80 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 75 | 60 |
| Documentation and upkeep (10%) | 46 | 37 |

| Fact (where they differ) | LongCat-2.5 | Qwen3.5-0.8B |
| --- | --- | --- |
| 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 | 2.8/5 (4) |

Why the edge:
- Reach, Qwen3.5-0.8B +45: 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.); Qwen3.5-0.8B 80 (Memory earns the full 30, since LM Studio's Q4_K_M build with its projector is 0.73 GB (0.88 GB with the fifth added) and Ollama's Q8_0 build was 1.0 GB, both f…)
- Agent interface, LongCat-2.5 +15: LongCat-2.5 75 (Chat template 20, chat_template.jinja in the repository (11,823 characters), with a copy in tokenizer_config.json.); Qwen3.5-0.8B 60 (The template ships in the repository (20) and the model was trained for tool use with several calls per turn in the template (20).)
- Documentation and upkeep, LongCat-2.5 +9: LongCat-2.5 46 (Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card.); Qwen3.5-0.8B 37 (The card covers six of the seven items, missing only a cut-off (17), because it states the intended uses and warns about thinking loops.)
- 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.); Qwen3.5-0.8B 55 (Safetensors only with no remote code gives file safety its 25, and files in the Qwen organisation the publisher's GitHub links to, each with a hash on the Hub…)