# Arete-27B vs Nemotron 3 Super 120B A12B (slim)

> Nemotron 3 Super 120B A12B scores 66.7 (B) to Arete-27B's 55.1 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/arete-27b-vs-nemotron-3-super-120b-a12b.md (~9,700 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-nemotron-3-super-120b-a12b.json · canonical https://www.anchorterminal.com/compare/arete-27b-vs-nemotron-3-super-120b-a12b
- 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)

Nemotron 3 Super 120B A12B scores 66.7 (B) on agent readiness against Arete-27B's 55.1 (C), and leads in every scored category. Both do open-weight models you run yourself.

- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.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
- Arete-27B, good for Agents that want Qwen3.8-27B's coding and tool use without its handling of politically sensitive topics, on a 24 GB card or a 128 GB machine
- 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 Reach, 75 against 50; Risk, 65 against 55; Agent interface, 90 against 60; Documentation and upkeep, 70 against 63.

| Category | Arete-27B | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 75 |
| Risk (20%) | 55 | 65 |
| Agent interface (10%) | 60 | 90 |
| Documentation and upkeep (10%) | 63 | 70 |

| Fact (where they differ) | Arete-27B | Nemotron 3 Super 120B A12B |
| --- | --- | --- |
| Vendor | Nous Research | NVIDIA |
| Licence | Apache-2.0 | NVIDIA Nemotron Open Model License |
| Last release | 2026-11-06 | 2026-03-11 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Agent interface, Nemotron 3 Super 120B A12B +30: Arete-27B 60 (Chat template 20, a Jinja file in the repository.); Nemotron 3 Super 120B A12B 90 (The chat template earns 20, a Jinja file in the repository.)
- Reach, Nemotron 3 Super 120B A12B +25: Arete-27B 50 (Memory 10, the only build from Nous Research is the 54.7 GB BF16 release, which needs about 66 GB and fits the reference machine.); 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 +10: Arete-27B 55 (File safety 25, safetensors only and no remote code.); 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…)
- Documentation and upkeep, Nemotron 3 Super 120B A12B +7: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); Nemotron 3 Super 120B A12B 70 (The model card earns 20, all seven items with limitations in the linked subcard.)