# Hy-Memory-30B-A3B vs ZAYA1-8B (slim)

> Hy-Memory-30B-A3B and ZAYA1-8B 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.

- Full: https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-zaya1-8b.md (~9,400 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-zaya1-8b.json · canonical https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-zaya1-8b
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Hy-Memory-30B-A3B and ZAYA1-8B score within a point of each other on agent readiness, 61 (C) and 61 (C). 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
- ZAYA1-8B: C 61, rank #85 of 160 open-weight models · https://www.anchorterminal.com/tools/zaya1-8b.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; Risk, 60 against 55; Agent interface, 65 against 60; Documentation and upkeep, 68 against 50.
- ZAYA1-8B, good for People who want a small, fast reasoning model for maths and code and can live without tool calling

| Category | Hy-Memory-30B-A3B | ZAYA1-8B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 80 |
| Risk (20%) | 60 | 55 |
| Agent interface (10%) | 65 | 60 |
| Documentation and upkeep (10%) | 68 | 50 |

| Fact (where they differ) | Hy-Memory-30B-A3B | ZAYA1-8B |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Zyphra |
| Last release | 2026-10-16 | 2026-07-02 |

Why the edge:
- Documentation and upkeep, Hy-Memory-30B-A3B +18: 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)…); ZAYA1-8B 50 (Model card 5, Intended use and the parameter counts are on the card.)
- 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.); ZAYA1-8B 80 (Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB.)
- Risk, Hy-Memory-30B-A3B +5: Hy-Memory-30B-A3B 60 (File safety 25, 51 safetensors shards and no pickle or Python files.); ZAYA1-8B 55 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)
- Agent interface, Hy-Memory-30B-A3B +5: Hy-Memory-30B-A3B 65 (Chat template 20, chat_template.jinja in the repository.); ZAYA1-8B 60 (Chat template 20, chat_template.jinja in the repository (10,700 characters).)