# Is WeVisCut SOTA?

Pending benchmarks. Announced Oct 28, 2026; no independent results yet.

As of Nov 3, 2026, WeVisCut is pending benchmarks on isitsota: announced Oct 28, 2026, with no independent results on the boards we track yet.

Tencent WeChat Vision's 9B tool-using agent model for video editing, fine-tuned from Qwen3.5-9B with Xidian University co-authors. Given a knowledge article or narration script, it builds a multi-minute edited video one tool call at a time. Its 12 tools cover planning, narration, asset retrieval, templates, composition, music, inspection, repair and stitching. It is not a text-to-video generator: it needs Tencent's WeVisCut runtime, which runs the tool calls. Weights on Hugging Face; the GitHub license file says Apache-2.0.

Canonical: https://isitsota.com/m/weviscut
Last updated: 2026-11-01
Tracking since: 2026-11-01

## Announced facts

| Fact | Value |
| --- | --- |
| Lab | Tencent |
| Announced | Oct 28, 2026 |
| API | Not yet · None stated; run locally |
| Open weights | Published · Hugging Face tencent/WeVisCut, not gated: a merged BF16 checkpoint plus a LoRA adapter |
| Parameters | About 9.41B (9,409,813,744 BF16 parameters in the merged checkpoint) |
| Type | Agentic video editing: a policy model that emits one tool call per step (about 12 per run) and a runtime that executes them; not a standalone text-to-video model |
| Base model | Qwen/Qwen3.5-9B, fine-tuned by Tencent (per the Hugging Face card and the GitHub LICENSE) |
| Task | A knowledge article or narration script in, a multi-minute edited video out |
| Tools | 12 editing tools: segment, plan, TTS, retrieval, template, compose, BGM, judge, reflect, probe and stitch, run by the WeVisCut Studio runtime with an editable timeline |
| Training | Editing inversion and verified replay on 3,750 finished videos yield 134,771 training examples; SFT and runtime-verified RFT, then Guided-OPD and RCF-DAPO |
| License | The GitHub LICENSE says Apache-2.0 for WeVisCut's code, parameters and weights, with Qwen3.5-9B (Apache-2.0) and other third-party components under their own terms. The Hugging Face repo has no LICENSE file; its card is tagged other and says only that the code is Apache-2.0, with weights and third-party components under their respective terms |
| Code | GitHub Tencent/WeVisCut: the Studio runtime, the 12-tool harness and the trajectory-construction pipeline |
| Requirements | Python 3.11 or later and an NVIDIA GPU with about 24 GB for the BF16 model; TTS, retrieval and rendering services are configured separately |
| Authors | Chenyu Mu, Wenming Weng, Qinrui Wang, Xingsong Ye, Hao Yu, Jun He, Chong Sun, Chen Li, Jing Lyu, Erkun Yang and Cheng Deng (Xidian University; WeChat Vision, Tencent) |

Tags marked unsure are not stated on the lab's own pages.

## What would let us call it

Verdicts use only independent boards we already track. Two consecutive snapshots are required before any crown.

- [x] Publicly announced with a source
- [x] Usable by the public (API or weights)
- [ ] Listed on an independent board we track
- [ ] Enough results for a rank in a category
- [ ] Holds across two snapshots (crowns only)

## What the lab claims

Self-reported. Shown for context; not used in any verdict.

- Lab claim: 90.5 overall on Tencent's 100-task script-to-video benchmark (five runs), against 89.9 for Claude Opus 5, 84.6 for Gemini 3.1 Pro and 74.5 for its Qwen3.5-9B base, in the same tool environment.
- Lab claim: about 33x fewer generated tokens and 73.3% fewer tool calls than Claude Opus 5 per successful output minute.
- Lab claim: +6.8 SCF over Crayotter and +10.0 over VideoAgent, running 4.1x and 5.0x faster at 10.8x and 6.4x lower cost, with human raters preferring it (4.56 vs 3.48 overall).

## Sources

- PAPER: [WeVisCut: The Whole Editing Room in One Agent From Narration to Long-Form Video (arXiv)](https://arxiv.org/abs/2610.38352) (2026-10-28)
- LAB: [WeVisCut project page (WeChat Vision, Tencent)](https://tencent.github.io/WeVisCut/)
- REPO: [Tencent/WeVisCut on GitHub](https://github.com/Tencent/WeVisCut)
- REPO: [tencent/WeVisCut on Hugging Face](https://huggingface.co/tencent/WeVisCut)
- REPO: [WeVisCut LICENSE (GitHub)](https://github.com/Tencent/WeVisCut/blob/main/LICENSE)
- PRESS: [Machine Delusions post on X](https://x.com/Machinedelusion/status/2116668287656333409) (2026-10-31)

Tracking continues until an independent board lists it.

## Related

- Lab: [Tencent](https://isitsota.com/labs/tencent.md)
- All pending releases: https://isitsota.com/releases.md
- JSON: https://api.isitsota.com/v1/models/weviscut