What shipped in AI.

WeVisOne-VL is a vision-language model built on Qwen3-VL that unifies open-vocabulary detection, referring localization, counting, pointing, OCR, referring segmentation and alpha matting in one model. The release is intended for research in visual grounding and image perception.

Hy-SimulMT is a real-time simultaneous translation model for Chinese and English speech. It translates audio while the speaker is still talking and can output speech with voice cloning when a TTS service is configured.

Hy-Memory-30B-A3B is a compact long-term-memory writer model (~3B active parameters) developed by Tencent Hunyuan to execute the write path inside external memory frameworks.

Youtu-Parsing-Omni turns document pages, images, charts, geometry figures, audio and video into one structured JSON output, and the task prompt selects the parsing type. The model card reports 96.96 Overall on OmniDocBench v1.6.

WeVisDoc-4B converts page images directly into structured Markdown with LaTeX formulas and HTML tables. The paper reports an Overall score of 95.38 on OmniDocBench v1.6, ahead of the compared end-to-end parsers.

EVIE-8B is a visual document retrieval model that stores 4096-dimensional vectors per token and scores relevance with MaxSim. The model card reports nDCG@10 of 66.75 on ViDoRe V3 and says the model serves as teacher for EVIE 4.5B.

Hy4 preview is a Mixture-of-Experts model aimed at software engineering, office and data analysis, game prototyping and hard research questions. In an internal blind evaluation it came out slightly ahead of GLM 5.3 and Kimi K3.

- [2026/09/09] 🎉 AuK is now open-source. Code and model weights are publicly available.

Hy-MT2 is a family of multilingual translation models covering 33 languages that follow translation instructions given in several languages. The 1.8B variant can be compressed to 440 MB with 1.25 bit quantization for on-device use.

Hy-Embodied-VLM-1.0 is a vision-language model for embodied agents with about 3B active parameters out of roughly 30B total, focused on action planning and physical-world understanding. The model card reports first place on 19 of 38 embodied benchmarks.

RxBrain pairs language reasoning with visual imagination: it answers questions about images and video, predicts near-future frames, and plans subgoals together with goal images. Image generation additionally requires the external FLUX VAE.

Tencent's Hunyuan 3 in preview on OpenRouter ($0.063/$0.21 per MTok). One of the cheapest models available. Tencent is a heavyweight that gets little Western attention in AI.