# Hy-Memory-30B-A3B vs occamy-1.0 (slim)

> Hy-Memory-30B-A3B and occamy-1.0 score within a point of each other for open-weight models you run yourself, 61 and 61 out of 100. 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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Hy-Memory-30B-A3B and occamy-1.0 score within a point of each other on agent readiness, 61 (C) and 61 (C). occamy-1.0 leads on reach, agent interface and documentation and upkeep. 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
- occamy-1.0: C 61, rank #59 of 160 open-weight models · https://www.anchorterminal.com/tools/occamy-1-0.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 Risk, 60 against 55.
- occamy-1.0, good for Agents that want an Apache 2.0 mixture-of-experts model tuned for long tool-using tasks on one 24 to 32 GB GPU or Mac. Ahead on Reach, 90 against 85; Agent interface, 70 against 65; Documentation and upkeep, 74 against 68.

| Category | Hy-Memory-30B-A3B | occamy-1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 90 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 65 | 70 |
| Documentation and upkeep (10%) | 68 | 74 |

| Fact (where they differ) | Hy-Memory-30B-A3B | occamy-1.0 |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Accio (Accio-Lab) |
| Last release | 2026-10-16 | 2026-10-02 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Documentation and upkeep, occamy-1.0 +6: 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)…); occamy-1.0 74 (Model card 14 of 20, languages and a knowledge cut-off are missing.)
- Reach, occamy-1.0 +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.); occamy-1.0 90 (Memory 25 of 30, Accio's MLX mxfp4 build is 18.4 GB, 22.1 GB with a fifth added, and its IQ4_XS GGUF needs 22.5 GB, both within 24 GB.)
- Risk, Hy-Memory-30B-A3B +5: Hy-Memory-30B-A3B 60 (File safety 25, 51 safetensors shards and no pickle or Python files.); occamy-1.0 55 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)
- Agent interface, occamy-1.0 +5: Hy-Memory-30B-A3B 65 (Chat template 20, chat_template.jinja in the repository.); occamy-1.0 70 (Chat template 20, the base's Jinja template in the repository.)