# Qwen3.5-2B vs SenseNova-Loop-9B-Preview (slim)

> Qwen3.5-2B scores 50.5 (D) 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/qwen3-5-2b-vs-sensenova-loop-9b-preview.md (~9,500 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/qwen3-5-2b-vs-sensenova-loop-9b-preview.json · canonical https://www.anchorterminal.com/compare/qwen3-5-2b-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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Qwen3.5-2B scores 50.5 (D) on agent readiness against SenseNova-Loop-9B-Preview's 46.8 (D), and leads in 2 of 4 scored categories. SenseNova-Loop-9B-Preview leads on documentation and upkeep. Both do open-weight models you run yourself.

- Qwen3.5-2B: D 50.5, rank #144 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-2b.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
- Qwen3.5-2B, good for Builders who want a cheap local helper or fine-tuning base for narrow tasks and image reading on a laptop, small GPU or CPU Ahead on Reach, 80 against 40; Risk, 55 against 50.
- 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 Ahead on Documentation and upkeep, 44 against 37.

| Category | Qwen3.5-2B | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 40 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 37 | 44 |

| Fact (where they differ) | Qwen3.5-2B | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Vendor | Alibaba (Qwen team) | SenseTime (SenseNova) |
| Last release | 2026-03-02 | 2026-11-02 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Reach, Qwen3.5-2B +40: Qwen3.5-2B 80 (Memory earns the full 30, since LM Studio's Q4_K_M GGUF with its vision projector is 1.94 GB, about 2.3 GB with the fifth added (Ollama's Q4_K_M build was 1.9 G…); 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, SenseNova-Loop-9B-Preview +7: Qwen3.5-2B 37 (The card covers six of the seven items, missing only a cut-off (17), because it states the intended uses and warns about thinking loops.); 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, Qwen3.5-2B +5: Qwen3.5-2B 55 (Safetensors only with no remote code gives file safety its 25, and files in the Qwen organisation the publisher's GitHub links to, each with a hash on the Hub…); SenseNova-Loop-9B-Preview 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)