# Qwen3.5-4B vs SenseNova-Loop-9B-Preview (slim)

> Qwen3.5-4B scores 61.2 (C) 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/qwen3-5-4b-vs-sensenova-loop-9b-preview.md (~9,850 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/qwen3-5-4b-vs-sensenova-loop-9b-preview.json · canonical https://www.anchorterminal.com/compare/qwen3-5-4b-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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Qwen3.5-4B scores 61.2 (C) on agent readiness against SenseNova-Loop-9B-Preview's 46.8 (D), and leads in 3 of 4 scored categories. SenseNova-Loop-9B-Preview leads on documentation and upkeep. Both do open-weight models you run yourself.

- Qwen3.5-4B: C 61.2, rank #38 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-4b.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
- Qwen3.5-4B, good for Agents that want a cheap local helper for tool calls, short reasoning and reading images on a laptop or small GPU Ahead on Reach, 85 against 40; Risk, 55 against 50; Agent interface, 70 against 60.
- 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 34.

| Category | Qwen3.5-4B | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 85 | 40 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 60 |
| Documentation and upkeep (10%) | 34 | 44 |

| Fact (where they differ) | Qwen3.5-4B | 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, Qwen3.5-4B +45: Qwen3.5-4B 85 (Memory earns the full 30 because Ollama's own Q4_K_M build is 3.3 GB, about 4 GB with the fifth added, though Alibaba itself publishes no quantised 4B, so build…); 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, Qwen3.5-4B +10: Qwen3.5-4B 70 (The template ships in the repository (20) and the model was trained for tool use with several calls per turn in the template (20).); SenseNova-Loop-9B-Preview 60 (Chat template 20, chat_template.jinja in the repository (7,756 characters).)
- Documentation and upkeep, SenseNova-Loop-9B-Preview +10: Qwen3.5-4B 34 (The card covers five of the seven items and misses limitations and a cut-off (14).); 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, Qwen3.5-4B +5: Qwen3.5-4B 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).)