# Hy-Memory-30B-A3B vs Nanbeige4.3-33B (slim)

> Hy-Memory-30B-A3B and Nanbeige4.3-33B score within a point of each other for open-weight models you run yourself, 61 and 60.8 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-nanbeige-4-3-33b.md (~9,600 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-nanbeige-4-3-33b.json · canonical https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-nanbeige-4-3-33b
- 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 and Nanbeige4.3-33B score within a point of each other on agent readiness, 61 (C) and 60.8 (C). Nanbeige4.3-33B 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
- Nanbeige4.3-33B: C 60.8, rank #86 of 160 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-3-33b.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 80; Documentation and upkeep, 68 against 56.
- Nanbeige4.3-33B, good for Agents with a 32 GB GPU (INT4) or more, or the 128 GB reference machine at BF16, that want an Apache-tagged 33B model for long coding and tool loops. Ahead on Agent interface, 85 against 65.

| Category | Hy-Memory-30B-A3B | Nanbeige4.3-33B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 80 |
| Risk (20%) | 60 | 60 |
| Agent interface (10%) | 65 | 85 |
| Documentation and upkeep (10%) | 68 | 56 |

| Fact (where they differ) | Hy-Memory-30B-A3B | Nanbeige4.3-33B |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | Apache-2.0 | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2026-10-16 | 2026-10-31 |

Why the edge:
- Agent interface, Nanbeige4.3-33B +20: Hy-Memory-30B-A3B 65 (Chat template 20, chat_template.jinja in the repository.); Nanbeige4.3-33B 85 (The chat template earns 20, Jinja in tokenizer_config.json.)
- Documentation and upkeep, Hy-Memory-30B-A3B +12: 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)…); Nanbeige4.3-33B 56 (The model card earns 11, with intended use, parameters, context and languages but no limitations, architecture or cut-off.)
- Reach, Hy-Memory-30B-A3B +5: 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.); Nanbeige4.3-33B 80 (Memory earns 20, since Nanbeige's INT4 build is 22.57 GB, about 27 GB with a fifth added, which fits 32 GB.)