# Nanbeige4.3-33B vs SenseNova-Loop-9B-Preview (slim)

> Nanbeige4.3-33B scores 60.8 (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/nanbeige-4-3-33b-vs-sensenova-loop-9b-preview.md (~10,250 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-sensenova-loop-9b-preview.json · canonical https://www.anchorterminal.com/compare/nanbeige-4-3-33b-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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Nanbeige4.3-33B scores 60.8 (C) 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.

- Nanbeige4.3-33B: C 60.8, rank #86 of 160 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-3-33b.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
- Nanbeige4.3-33B, good for Agents with a 32 GB GPU (INT4) or more, or the 128 GB reference machine at BF16, that want an Apache-tagged 33B model for long coding and tool loops. Ahead on Reach, 80 against 40; Risk, 60 against 50; Agent interface, 85 against 60; Documentation and upkeep, 56 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 | Nanbeige4.3-33B | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 40 |
| Risk (20%) | 60 | 50 |
| Agent interface (10%) | 85 | 60 |
| Documentation and upkeep (10%) | 56 | 44 |

| Fact (where they differ) | Nanbeige4.3-33B | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Vendor | Nanbeige LLM Lab (BOSS Zhipin) | SenseTime (SenseNova) |
| Licence | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) | Apache-2.0 |
| Last release | 2026-10-31 | 2026-11-02 |
| Terms last updated | no document linked | not read yet |

Why the edge:
- Reach, Nanbeige4.3-33B +40: Nanbeige4.3-33B 80 (Memory earns 20, since Nanbeige's INT4 build is 22.57 GB, about 27 GB with a fifth added, which fits 32 GB.); 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, Nanbeige4.3-33B +25: Nanbeige4.3-33B 85 (The chat template earns 20, Jinja in tokenizer_config.json.); SenseNova-Loop-9B-Preview 60 (Chat template 20, chat_template.jinja in the repository (7,756 characters).)
- Documentation and upkeep, Nanbeige4.3-33B +12: Nanbeige4.3-33B 56 (The model card earns 11, with intended use, parameters, context and languages but no limitations, architecture or cut-off.); 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, Nanbeige4.3-33B +10: Nanbeige4.3-33B 60 (File safety earns 25, safetensors only and no repository code, so the card's trust_remote_code has nothing to run.); SenseNova-Loop-9B-Preview 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)