# Hy-Memory-30B-A3B vs Kimi K3.1 Pro (slim)

> Hy-Memory-30B-A3B scores 61 (C) to Kimi K3.1 Pro's 48.6 (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-kimi-k3-1-pro.md (~9,100 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-kimi-k3-1-pro.json · canonical https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-kimi-k3-1-pro
- 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 Kimi K3.1 Pro's 48.6 (D), and leads in 3 of 4 scored categories. 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
- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.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 40; Risk, 60 against 50; Documentation and upkeep, 68 against 51.
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API

| Category | Hy-Memory-30B-A3B | Kimi K3.1 Pro |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 40 |
| Risk (20%) | 60 | 50 |
| Agent interface (10%) | 65 | 65 |
| Documentation and upkeep (10%) | 68 | 51 |

| Fact (where they differ) | Hy-Memory-30B-A3B | Kimi K3.1 Pro |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Moonshot AI |
| Licence | Apache-2.0 | Kimi K3.1 Pro License (modified MIT) |
| Last release | 2026-10-16 | 2026-11-05 |

Why the edge:
- Reach, Hy-Memory-30B-A3B +45: 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.); Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.)
- Documentation and upkeep, Hy-Memory-30B-A3B +17: 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)…); Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.)
- Risk, Hy-Memory-30B-A3B +10: Hy-Memory-30B-A3B 60 (File safety 25, 51 safetensors shards and no pickle or Python files.); Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.)