# Hy-Memory-30B-A3B vs Nemotron 3 Super 120B A12B (slim)

> Nemotron 3 Super 120B A12B scores 66.7 (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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Nemotron 3 Super 120B A12B scores 66.7 (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
- Nemotron 3 Super 120B A12B: B 66.7, rank #15 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-super-120b-a12b.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 75.
- Nemotron 3 Super 120B A12B, good for Agents on a 128 GB unified machine or Blackwell GPUs that want a long-context, tool-calling reasoning model with documented training data Ahead on Risk, 65 against 60; Agent interface, 90 against 65.

| Category | Hy-Memory-30B-A3B | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 75 |
| Risk (20%) | 60 | 65 |
| Agent interface (10%) | 65 | 90 |
| Documentation and upkeep (10%) | 68 | 70 |

| Fact (where they differ) | Hy-Memory-30B-A3B | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Vendor | Tencent (Hy team) | NVIDIA |
| Licence | Apache-2.0 | NVIDIA Nemotron Open Model License |
| Last release | 2026-10-16 | 2026-03-11 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Agent interface, Nemotron 3 Super 120B A12B +25: Hy-Memory-30B-A3B 65 (Chat template 20, chat_template.jinja in the repository.); Nemotron 3 Super 120B A12B 90 (The chat template earns 20, a Jinja file in the repository.)
- Reach, Hy-Memory-30B-A3B +10: 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.); Nemotron 3 Super 120B A12B 75 (Memory earns 10, because the smallest 4-bit build, NVIDIA's 80.3 GB NVFP4, needs about 96 GB with the fifth added, which fits the reference machine but not 64 G…)
- Risk, Nemotron 3 Super 120B A12B +5: Hy-Memory-30B-A3B 60 (File safety 25, 51 safetensors shards and no pickle or Python files.); Nemotron 3 Super 120B A12B 65 (File safety earns 15, safetensors only but with 10 off because the documented serving commands pass trust-remote-code and the repository ships model and parser…)