Top 10 Chinese Large Models to Watch: Features, Benchmarks, and Download Links

1. Qwen3‑TTS

Qwen3‑TTS supports ten languages (Chinese, English, Japanese, Korean, German, French, Russian, Portuguese, Spanish, Italian) and multiple dialect voices, aiming at global deployment. The model offers strong contextual understanding, allowing instruction‑driven adjustment of tone, speed, and emotion, and shows improved robustness to noisy input text. Key strengths include powerful speech representation, a universal end‑to‑end architecture, ultra‑low‑latency streaming synthesis, intelligent text comprehension, and voice‑print control.

https://hf-mirror.com/collections/Qwen/qwen3-tts

2. LongCat‑Flash‑Thinking‑2601

The first fully open‑source model that supports the "Re‑thinking" mode, equipped with eight parallel “brains” to accelerate reasoning and ensure reliable decision‑making. It inherits the previous generation’s “domain‑parallel” training recipe and maintains top‑tier inference benchmarks, while adding a pipeline of environment expansion → task synthesis → large‑scale multi‑environment reinforcement learning to systematically boost the agent’s thinking ability.

To cope with real‑world noise and uncertainty, the model undergoes systematic analysis and curriculum‑style training across various environment noise types and levels, keeping performance stable under imperfect conditions.

https://hf-mirror.com/stepfun-ai/LongCat-Flash-Thinking-2601

3. GLM‑4.7‑Flash

GLM‑4.7‑Flash is a 30B‑parameter Mixture‑of‑Experts (MoE) model (30B‑A3B architecture), representing the strongest model in the 30B range and offering a lightweight deployment option with a good balance of performance and efficiency.

https://hf-mirror.com/zai-org/GLM-4.7-Flash

4. STEP3‑VL‑10B (Dual‑Open‑Source)

STEP3‑VL‑10B combines a 1.8B‑parameter language‑optimized perception encoder (superior to the spatial‑optimized version) with a Qwen3‑8B decoder. Using a 16× spatial down‑sampling projector and multi‑crop strategy (global 728×728 + local 504×504), it achieves efficient vision‑language alignment, delivering frontier multimodal performance with only 10 billion parameters.

https://arxiv.org/pdf/2601.09668
https://hf-mirror.com/stepfun-ai/Step3-VL-10B

5. Step‑Audio R1.1

Step‑Audio R1.1 is a major upgrade of Step‑Audio‑R1, designed for interactive speech dialogue. It provides real‑time response capability together with strong inference power.

https://hf-mirror.com/stepfun-ai/Step-Audio-R1.1

6. Baichuan‑M3

Baichuan‑M3 is specially trained to explicitly model clinical decision processes, aiming to improve practicality and reliability in real medical scenarios. It achieves low hallucination rates—lower than GPT‑5.2—through Fact‑Aware Reinforcement Learning, without relying on external tools.

The system decomposes clinical workflows into four independent reward stages, combines Fact‑Aware RL for real‑time verification of medical statements, and employs a three‑stage multi‑expert fusion training with efficient inference optimization to address sparse rewards and credit‑assignment challenges in long clinical interactions.

https://hf-mirror.com/baichuan-inc/Baichuan-M3-235B

7. Tencent Youtu‑LLM

Youtu‑LLM‑1.96B adopts the MLA architecture with a STEM‑specific token vocabulary supporting 128K context length. It undergoes progressive curriculum pre‑training on 11 trillion tokens covering "Common‑sense‑STEM‑Agent" knowledge, enabling lightweight models to natively possess reasoning and planning abilities.

https://hf-mirror.com/tencent/Youtu-LLM-2B
https://arxiv.org/abs/2512.24618

These models represent the current surge of Chinese AI research as the year ends, offering diverse capabilities from multilingual TTS to multimodal vision‑language alignment and domain‑specific reasoning. Researchers can explore the provided HF‑mirror and arXiv links to download, benchmark, or extend these open resources.