# Gemma 4 31B IT vs SenseNova-Loop-9B-Preview (slim)

> Gemma 4 31B IT scores 74.1 (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-4-31b-it-vs-sensenova-loop-9b-preview.md (~10,150 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-sensenova-loop-9b-preview.json · canonical https://www.anchorterminal.com/compare/gemma-4-31b-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
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Gemma 4 31B IT scores 74.1 (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 31B IT: BB 74.1, rank #2 of 160 open-weight models · https://www.anchorterminal.com/tools/gemma-4-31b-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 31B IT, good for An agent with a 24 GB GPU or more that wants a dense multimodal cousin with tool calling under a plain licence Ahead on Reach, 95 against 40; Risk, 70 against 50; Agent interface, 85 against 60; Documentation and upkeep, 65 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 31B 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%) | 65 | 44 |

| Fact (where they differ) | Gemma 4 31B 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 31B IT +55: Gemma 4 31B IT 95 (Memory 25, Google's own QAT Q4_0 GGUF is 17.7 GB, which with a fifth added comes to about 21 GB and fits a 24 GB card even with the vision projector.); 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…)
- Agent interface, Gemma 4 31B IT +25: Gemma 4 31B 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).)
- Documentation and upkeep, Gemma 4 31B IT +21: Gemma 4 31B IT 65 (Model card 20, all seven items are there, with languages given as counts.); 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.)
- Risk, Gemma 4 31B IT +20: Gemma 4 31B IT 70 (File safety 25, safetensors only and no code from the repository runs to load it or build prompts.); SenseNova-Loop-9B-Preview 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)