# Nemotron 3.5 Lightning 30B A3B vs SenseNova-Loop-9B-Preview (slim)

> Nemotron 3.5 Lightning 30B A3B scores 64.7 (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.

- Full: https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-sensenova-loop-9b-preview.md (~11,150 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-sensenova-loop-9b-preview.json · canonical https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-sensenova-loop-9b-preview
- 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
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Nemotron 3.5 Lightning 30B A3B scores 64.7 (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 3.5 Lightning 30B A3B: B 64.7, rank #20 of 160 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-5-lightning-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 3.5 Lightning 30B A3B, good for Agents on one 24 to 32 GB GPU or Mac that want a fast tool-calling reasoning model with long context and a permissive licence Ahead on Reach, 85 against 40; Risk, 75 against 50; Agent interface, 90 against 60; Documentation and upkeep, 75 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 3.5 Lightning 30B A3B | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 40 |
| Risk (20%) | 75 | 50 |
| Agent interface (10%) | 90 | 60 |
| Documentation and upkeep (10%) | 75 | 44 |

| Fact (where they differ) | Nemotron 3.5 Lightning 30B A3B | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Vendor | NVIDIA | SenseTime (SenseNova) |
| Licence | OpenMDW-1.1 | Apache-2.0 |
| Last release | 2026-08-11 | 2026-11-02 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Reach, Nemotron 3.5 Lightning 30B A3B +45: Nemotron 3.5 Lightning 30B A3B 85 (Memory earns 25, since ggml-org's 18.9 GB Q4_0 GGUF and Ollama's 19 GB nvfp4 build both need under 24 GB with the fifth added.); 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 3.5 Lightning 30B A3B +31: Nemotron 3.5 Lightning 30B A3B 75 (The model card earns 20, all seven items with limitations in the linked subcard.); 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 3.5 Lightning 30B A3B +30: Nemotron 3.5 Lightning 30B A3B 90 (The chat template earns 20, 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 3.5 Lightning 30B A3B +25: Nemotron 3.5 Lightning 30B A3B 75 (File safety earns 25, safetensors only with no Python files, and nothing from the repository runs to load it or parse its output.); SenseNova-Loop-9B-Preview 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)