# Olmo 3 7B Think vs SenseNova-Loop-9B-Preview (slim)

> Olmo 3 7B Think scores 52.3 (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.

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- 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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Olmo 3 7B Think scores 52.3 (D) 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 agent interface. Both do open-weight models you run yourself.

- Olmo 3 7B Think: D 52.3, rank #139 of 160 open-weight models · https://www.anchorterminal.com/tools/olmo-3-7b-think.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
- Olmo 3 7B Think, good for Researchers and agents that want a small fully open reasoning model for maths and code, with its training data on hand Ahead on Reach, 75 against 40; Risk, 75 against 50; Documentation and upkeep, 52 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 Ahead on Agent interface, 60 against 35.

| Category | Olmo 3 7B Think | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 40 |
| Risk (20%) | 75 | 50 |
| Agent interface (10%) | 35 | 60 |
| Documentation and upkeep (10%) | 52 | 44 |

| Fact (where they differ) | Olmo 3 7B Think | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Vendor | Ai2 (Allen Institute for AI) | SenseTime (SenseNova) |
| Licence | Apache-2.0, with Ai2's Responsible Use Guidelines named on the card | Apache-2.0 |
| Last release | 2026-06-25 | 2026-11-02 |
| Terms last updated | 2024-09-25 | not read yet |
| Privacy policy last updated | 2025-02-19 | no document linked |
| Customer content may train models | yes | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | yes | not read yet |
| Arbitration or class-action waiver | not found in the text | not read yet |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, Olmo 3 7B Think +35: Olmo 3 7B Think 75 (Memory earns the full 30, since Ollama's 4-bit build is 4.5 GB and fits 8 GB (per the 21 October check of Ollama's library).); 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…)
- Risk, Olmo 3 7B Think +25: Olmo 3 7B Think 75 (File safety earns 25, safetensors only and nothing from the repository runs.); SenseNova-Loop-9B-Preview 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Agent interface, SenseNova-Loop-9B-Preview +25: Olmo 3 7B Think 35 (The chat template earns 20 for chat_template.jinja in the repository.); SenseNova-Loop-9B-Preview 60 (Chat template 20, chat_template.jinja in the repository (7,756 characters).)
- Documentation and upkeep, Olmo 3 7B Think +8: Olmo 3 7B Think 52 (The model card earns 17, missing only the context length.); 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.)