# Hy-Memory-30B-A3B vs Inkling 2 Small (slim)

> Hy-Memory-30B-A3B scores 61 (C) to Inkling 2 Small's 58.8 (C) 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-inkling-2-small.md (~9,700 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-inkling-2-small.json · canonical https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-inkling-2-small
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-12
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Hy-Memory-30B-A3B scores 61 (C) on agent readiness against Inkling 2 Small's 58.8 (C), and leads in 2 of 4 scored categories. Inkling 2 Small leads on risk and agent interface. Both do open-weight models you run yourself.

- Hy-Memory-30B-A3B: C 61, rank #68 of 161 open-weight models · https://www.anchorterminal.com/tools/hy-memory-30b-a3b.min.md
- Inkling 2 Small: C 58.8, rank #102 of 161 open-weight models · https://www.anchorterminal.com/tools/inkling-2-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 40.
- Inkling 2 Small, good for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image. Ahead on Risk, 65 against 60; Agent interface, 85 against 65.

| Category | Hy-Memory-30B-A3B | Inkling 2 Small |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 40 |
| Risk (20%) | 60 | 65 |
| Agent interface (10%) | 65 | 85 |
| Documentation and upkeep (10%) | 68 | 67 |

| Fact (where they differ) | Hy-Memory-30B-A3B | Inkling 2 Small |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | Thinking Machines Lab |
| Last release | 2026-10-16 | 2026-11-12 |

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.); Inkling 2 Small 40 (Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 GB line.)
- Agent interface, Inkling 2 Small +20: Hy-Memory-30B-A3B 65 (Chat template 20, chat_template.jinja in the repository.); Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.)
- Risk, Inkling 2 Small +5: Hy-Memory-30B-A3B 60 (File safety 25, 51 safetensors shards and no pickle or Python files.); Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.)
