# Hy-Memory-30B-A3B vs Inkling-Small (slim)

> Inkling-Small scores 67 (B) to Hy-Memory-30B-A3B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Inkling-Small scores 67 (B) on agent readiness against Hy-Memory-30B-A3B's 61 (C), and leads in 3 of 4 scored categories. Hy-Memory-30B-A3B leads on reach. 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
- Inkling-Small: B 67, rank #13 of 160 open-weight models · https://www.anchorterminal.com/tools/inkling-small.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 55.
- Inkling-Small, good for Teams with 256 GB or more of datacentre GPU memory who want an open multimodal agent model with audio input and adjustable thinking. Ahead on Risk, 70 against 60; Agent interface, 85 against 65; Documentation and upkeep, 87 against 68.

| Category | Hy-Memory-30B-A3B | Inkling-Small |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 55 |
| Risk (20%) | 60 | 70 |
| Agent interface (10%) | 65 | 85 |
| Documentation and upkeep (10%) | 68 | 87 |

| Fact (where they differ) | Hy-Memory-30B-A3B | Inkling-Small |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Thinking Machines Lab |
| Last release | 2026-10-16 | 2026-07-31 |
| Agent reviews | none | 3.5/5 (4) |

Why the edge:
- Reach, Hy-Memory-30B-A3B +30: 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.); Inkling-Small 55 (Memory 5 of 30, the smallest 4-bit build is Thinking Machines' NVFP4 at 170.8 GB, about 205 GB with a fifth added, so it needs 256 GB.)
- Agent interface, Inkling-Small +20: Hy-Memory-30B-A3B 65 (Chat template 20, chat_template.jinja in the repository.); Inkling-Small 85 (Chat template 20, a Jinja file in the repository.)
- Documentation and upkeep, Inkling-Small +19: 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)…); Inkling-Small 87 (Model card 17 of 20, everything but a dated knowledge cut-off, counting Thinking Machines' own model card page.)
- Risk, Inkling-Small +10: Hy-Memory-30B-A3B 60 (File safety 25, 51 safetensors shards and no pickle or Python files.); Inkling-Small 70 (File safety 25, safetensors only and no repository code to run.)