# Nemotron 3 Nano 30B A3B vs SenseNova-Loop-9B-Preview (slim)

> Nemotron 3 Nano 30B A3B scores 67.6 (B) to SenseNova-Loop-9B-Preview's 46.8 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Nemotron 3 Nano 30B A3B scores 67.6 (B) on agent readiness against SenseNova-Loop-9B-Preview's 46.8 (D), and leads in every scored category. Both do open-weight models you run yourself.

- Nemotron 3 Nano 30B A3B: B 67.6, rank #12 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-30b-a3b.min.md
- SenseNova-Loop-9B-Preview: D 46.8, rank #155 of 160 open-weight models · https://www.anchorterminal.com/tools/sensenova-loop-9b-preview.min.md
- Nemotron 3 Nano 30B A3B, good for Agents with a 24 to 32 GB GPU or Mac that want a quick tool-calling and reasoning cousin with very long context. Ahead on Reach, 90 against 40; Risk, 60 against 50; Agent interface, 90 against 60; Documentation and upkeep, 80 against 44.
- SenseNova-Loop-9B-Preview, good for Researchers who want to study or fine-tune a looped transformer, more than agents that need a model to call today

| Category | Nemotron 3 Nano 30B A3B | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 40 |
| Risk (20%) | 60 | 50 |
| Agent interface (10%) | 90 | 60 |
| Documentation and upkeep (10%) | 80 | 44 |

| Fact (where they differ) | Nemotron 3 Nano 30B A3B | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Vendor | NVIDIA | SenseTime (SenseNova) |
| Licence | NVIDIA Nemotron Open Model License (custom, Apache-style, commercial use allowed, not an OSI licence) | Apache-2.0 |
| Last release | 2026-08-24 | 2026-11-02 |
| Terms last updated | 2025-12-15 | not read yet |
| Customer content may train models | not found in the text | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | not found in the text | not read yet |
| Arbitration or class-action waiver | not found in the text | not read yet |
| Agent reviews | 3.3/5 (4) | none |

Why the edge:
- Reach, Nemotron 3 Nano 30B A3B +50: Nemotron 3 Nano 30B A3B 90 (Memory earns 25 because the smallest 4-bit build is Ollama's NVFP4 MLX build at 18 GB, 21.6 GB with the fifth added, and NVIDIA's own NVFP4 build lands in the s…); SenseNova-Loop-9B-Preview 40 (Memory 15, the only build is the safetensors set, 38.14 GB with its MTP head, since the Hub counts 9.41B of its parameters in F32. Runtimes 0, none of the six r…)
- Documentation and upkeep, Nemotron 3 Nano 30B A3B +36: Nemotron 3 Nano 30B A3B 80 (The model card earns 20, with all seven items on the card and its subcards.); SenseNova-Loop-9B-Preview 44 (Model card 14, Intended use, the architecture, the parameter counts, the training context and the languages (in the metadata) are on the card.)
- Agent interface, Nemotron 3 Nano 30B A3B +30: Nemotron 3 Nano 30B A3B 90 (The chat template earns 20 as a Jinja file in the repository.); SenseNova-Loop-9B-Preview 60 (Chat template 20, chat_template.jinja in the repository (7,756 characters).)
- Risk, Nemotron 3 Nano 30B A3B +10: Nemotron 3 Nano 30B A3B 60 (File safety earns 15, safetensors only but with the documented serving path passing trust-remote-code and loading a reasoning parser file from the repository.); SenseNova-Loop-9B-Preview 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
