# Gemma 4 12B IT vs SenseNova-Loop-9B-Preview (slim)

> Gemma 4 12B IT scores 72.3 (BB) 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/gemma-4-12b-it-vs-sensenova-loop-9b-preview.md (~10,200 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-sensenova-loop-9b-preview.json · canonical https://www.anchorterminal.com/compare/gemma-4-12b-it-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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Gemma 4 12B IT scores 72.3 (BB) 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.

- Gemma 4 12B IT: BB 72.3, rank #4 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-12b-it.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
- Gemma 4 12B IT, good for Agents on a 12 GB or larger GPU or Mac that want a permissively licensed tool-calling model with images, audio and long context Ahead on Reach, 95 against 40; Risk, 70 against 50; Agent interface, 85 against 60; Documentation and upkeep, 85 against 44. Also Agent-ready, a grade of BB or better.
- 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 | Gemma 4 12B IT | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 95 | 40 |
| Risk (20%) | 70 | 50 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 85 | 44 |

| Fact (where they differ) | Gemma 4 12B IT | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Vendor | Google DeepMind | SenseTime (SenseNova) |
| llms.txt | yes | no |
| Last release | 2026-07-20 | 2026-11-02 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 3.8/5 (4) | none |

Why the edge:
- Reach, Gemma 4 12B IT +55: Gemma 4 12B IT 95 (Memory 30, Google's own 4-bit QAT GGUF with its projector is 7.15 GB, which with a fifth on top is 8.6 GB and fits in 16 GB or less.); 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, Gemma 4 12B IT +41: Gemma 4 12B IT 85 (Model card 20, all seven items are there.); 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, Gemma 4 12B IT +25: Gemma 4 12B IT 85 (Chat template 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, Gemma 4 12B IT +20: Gemma 4 12B IT 70 (File safety 25, safetensors and GGUF only, with nothing from the repository run on load.); SenseNova-Loop-9B-Preview 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)