# Hy-Memory-30B-A3B vs LongCat-2.5 (slim)

> Hy-Memory-30B-A3B 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.

- Full: https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-longcat-2-5.md (~9,400 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-longcat-2-5.json · canonical https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-longcat-2-5
- 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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Hy-Memory-30B-A3B 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 agent interface. Both do open-weight models you run yourself.

- Hy-Memory-30B-A3B: C 61, rank #68 of 160 open-weight models · https://www.anchorterminal.com/tools/hy-memory-30b-a3b.min.md
- LongCat-2.5: D 50.5, rank #145 of 160 open-weight models · https://www.anchorterminal.com/tools/longcat-2-5.min.md
- Hy-Memory-30B-A3B, good for Agents with an external memory framework that want a local model for the write path on a 24 GB card Ahead on Reach, 85 against 35; Documentation and upkeep, 68 against 46.
- LongCat-2.5, good for Operators with NPU clusters, and anyone tracking what the open flagships can do Ahead on Agent interface, 75 against 65.

| Category | Hy-Memory-30B-A3B | LongCat-2.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 35 |
| Risk (20%) | 60 | 60 |
| Agent interface (10%) | 65 | 75 |
| Documentation and upkeep (10%) | 68 | 46 |

| Fact (where they differ) | Hy-Memory-30B-A3B | LongCat-2.5 |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Meituan (LongCat) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-10-16 | 2026-11-10 |
| Terms last updated | no document linked | not read yet |

Why the edge:
- Reach, Hy-Memory-30B-A3B +50: Hy-Memory-30B-A3B 85 (Memory 25, Tencent's own Q4_K_M GGUF is 18.24 GB, and 18.24 GB × 1.2 = 21.9 GB, which fits 24 GB but not 16 GB.); 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.)
- Documentation and upkeep, Hy-Memory-30B-A3B +22: Hy-Memory-30B-A3B 68 (Model card 8, Intended use (the write path of Mem0, MemOS and Hy-Memory), parameters (30B, about 3B active) and languages (English and Chinese, in the metadata)…); LongCat-2.5 46 (Model card 11, Intended use, limitations (the usage considerations), the architecture and the parameter counts are on the card.)
- Agent interface, LongCat-2.5 +10: Hy-Memory-30B-A3B 65 (Chat template 20, chat_template.jinja in the repository.); LongCat-2.5 75 (Chat template 20, chat_template.jinja in the repository (11,823 characters), with a copy in tokenizer_config.json.)