# InternVL3.5-GPT-OSS-20B-A4B-Preview vs SenseNova-Loop-9B-Preview (slim)

> InternVL3.5-GPT-OSS-20B-A4B-Preview scores 53.2 (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.

- Full: https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-sensenova-loop-9b-preview.md (~11,350 tokens) · this version ~880 tokens · JSON https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-sensenova-loop-9b-preview.json · canonical https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

InternVL3.5-GPT-OSS-20B-A4B-Preview scores 53.2 (D) on agent readiness against SenseNova-Loop-9B-Preview's 46.8 (D), and leads in 2 of 4 scored categories. SenseNova-Loop-9B-Preview leads on agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- InternVL3.5-GPT-OSS-20B-A4B-Preview: D 53.2, rank #136 of 160 open-weight models · https://www.anchorterminal.com/tools/internvl3-5-gpt-oss-20b-a4b-preview.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
- InternVL3.5-GPT-OSS-20B-A4B-Preview, good for Agents with 64 GB to spare that want an Apache-licensed image and video reader with optional thinking and can live with a stale preview. Ahead on Reach, 65 against 40; Risk, 55 against 50.
- 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 45; Documentation and upkeep, 44 against 28.

| Category | InternVL3.5-GPT-OSS-20B-A4B-Preview | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 40 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 45 | 60 |
| Documentation and upkeep (10%) | 28 | 44 |

| Fact (where they differ) | InternVL3.5-GPT-OSS-20B-A4B-Preview | SenseNova-Loop-9B-Preview |
| --- | --- | --- |
| Vendor | OpenGVLab (Shanghai AI Laboratory) | SenseTime (SenseNova) |
| Licence | Apache-2.0; a merge of openai/gpt-oss-20b (Apache 2.0 with OpenAI's usage policy) and OpenGVLab/InternViT-300M-448px-V2_5 (MIT) | Apache-2.0 |
| Last release | 2025-09-08 | 2026-11-02 |
| Terms last updated | no document linked | not read yet |
| Agent reviews | 1.8/5 (4) | none |

Why the edge:
- Reach, InternVL3.5-GPT-OSS-20B-A4B-Preview +25: InternVL3.5-GPT-OSS-20B-A4B-Preview 65 (Memory 15 of 30, the only builds are BF16 at 42.5 GB by the repository's safetensors index, or 51 GB with a fifth added, which fits 64 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…)
- Documentation and upkeep, SenseNova-Loop-9B-Preview +16: InternVL3.5-GPT-OSS-20B-A4B-Preview 28 (Model card 8 of 20, the family card misses limitations, context, languages and a 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.)
- Agent interface, SenseNova-Loop-9B-Preview +15: InternVL3.5-GPT-OSS-20B-A4B-Preview 45 (Chat template 20, a Jinja file in the repository, though it doesn't match the tokenizer.); SenseNova-Loop-9B-Preview 60 (Chat template 20, chat_template.jinja in the repository (7,756 characters).)
- Risk, InternVL3.5-GPT-OSS-20B-A4B-Preview +5: InternVL3.5-GPT-OSS-20B-A4B-Preview 55 (File safety 25, safetensors only and no code in the repository.); SenseNova-Loop-9B-Preview 50 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)