# SenseNova-Loop-9B-Preview vs Spark-X2.6-4B (slim)

> Spark-X2.6-4B scores 61 (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/sensenova-loop-9b-preview-vs-spark-x2-6-4b.md (~9,700 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/sensenova-loop-9b-preview-vs-spark-x2-6-4b.json · canonical https://www.anchorterminal.com/compare/sensenova-loop-9b-preview-vs-spark-x2-6-4b
- 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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Spark-X2.6-4B scores 61 (C) on agent readiness against SenseNova-Loop-9B-Preview's 46.8 (D), and leads in 3 of 4 scored categories. Both do open-weight models you run yourself.

- 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
- Spark-X2.6-4B: C 61, rank #56 of 160 open-weight models · https://www.anchorterminal.com/tools/spark-x2-6-4b.min.md
- 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
- Spark-X2.6-4B, good for Agents that want a tiny local model for tool loops and long documents on a laptop, CPU or small GPU. Ahead on Reach, 85 against 40; Agent interface, 70 against 60; Documentation and upkeep, 51 against 44.

| Category | SenseNova-Loop-9B-Preview | Spark-X2.6-4B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 40 | 85 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 44 | 51 |

| Fact (where they differ) | SenseNova-Loop-9B-Preview | Spark-X2.6-4B |
| --- | --- | --- |
| Vendor | SenseTime (SenseNova) | SparkLLM (XHToken) |
| Last release | 2026-11-02 | 2026-10-20 |
| Terms last updated | not read yet | no document linked |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, Spark-X2.6-4B +45: 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…); Spark-X2.6-4B 85 (Memory 30, SparkLLM's Q4_K_M GGUF is 3.19 GB, about 3.8 GB with a fifth added, which fits 8 GB.)
- Agent interface, Spark-X2.6-4B +10: SenseNova-Loop-9B-Preview 60 (Chat template 20, chat_template.jinja in the repository (7,756 characters).); Spark-X2.6-4B 70 (Chat template 20, a Jinja file in the repository.)
- Documentation and upkeep, Spark-X2.6-4B +7: 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.); Spark-X2.6-4B 51 (Model card 11 of 20, intended use, parameters, context and languages, with no limitations, cut-off or architecture description of its own.)