# Mistral Large 4 vs SenseNova-Loop-9B-Preview (slim)

> Mistral Large 4 scores 54.6 (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/mistral-large-4-vs-sensenova-loop-9b-preview.md (~10,300 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/mistral-large-4-vs-sensenova-loop-9b-preview.json · canonical https://www.anchorterminal.com/compare/mistral-large-4-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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Mistral Large 4 scores 54.6 (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.

- Mistral Large 4: C 54.6, rank #128 of 160 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.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
- Mistral Large 4, good for Operators with an 8-GPU Blackwell or H200 node who want a frontier-sized open model for coding agents and defensive security, with a hosted twin on Mistral's API. Ahead on Reach, 50 against 40; Risk, 75 against 50; Agent interface, 95 against 60; Documentation and upkeep, 64 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 | Mistral Large 4 | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 40 |
| Risk (20%) | 75 | 50 |
| Agent interface (10%) | 95 | 60 |
| Documentation and upkeep (10%) | 64 | 44 |

| Fact (where they differ) | Mistral Large 4 | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Vendor | Mistral AI | SenseTime (SenseNova) |
| Licence | Mistral Ecosystem Open-Weight License (modified MIT) | Apache-2.0 |
| Last release | 2026-10-29 | 2026-11-02 |
| Terms last updated | no document linked | not read yet |

Why the edge:
- Agent interface, Mistral Large 4 +35: Mistral Large 4 95 (The chat template is in the repository (20).); SenseNova-Loop-9B-Preview 60 (Chat template 20, chat_template.jinja in the repository (7,756 characters).)
- Risk, Mistral Large 4 +25: Mistral Large 4 75 (File safety scores 25, safetensors only and loaded by Transformers' own code with a Jinja template.); SenseNova-Loop-9B-Preview 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Documentation and upkeep, Mistral Large 4 +20: Mistral Large 4 64 (The card covers intended use, architecture, parameters, context and languages, 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.)
- Reach, Mistral Large 4 +10: Mistral Large 4 50 (Memory scores 0, since the smallest 4-bit build, Mistral's NVFP4, is 610 GB, about 732 GB with a fifth added, far above 256 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…)