Tencent

Tencent has released WeMM-Embedding-9B, a 9-billion-parameter multimodal embedding model built on Qwen3.5 that produces 4,096-dimensional embeddings from text, images, video, and visual documents. The model reports state-of-the-art results on the MMEB-v2 and MMEB-v3 benchmarks and is released under Apache 2.0.

Tencent's Hy Team has open-sourced Hy4 preview, a 770-billion-parameter Mixture-of-Experts model with 49 billion activated parameters and a 1-million-token context window. The model is available under Apache 2.0 alongside an FP8-quantized variant, with Tencent claiming it beats GLM 5.3 and Kimi K3 on internal engineering evaluations.

Tencent has released Hy4 preview, a mixture-of-experts model with 770B total parameters and 49B active parameters, targeting coding agents and multi-step tool-use workflows. The model ships with a 1 million token context window and is priced at $0.834 per 1M input tokens and $2.501 per 1M output tokens.

Tencent has released Hy-MT2-30B-A3B, a mixture-of-experts translation model with 30B total parameters and 3B active parameters, supporting 33 language pairs and five Chinese dialect and minority-language pairs. The model is available through Tencent Cloud at $0.074 per 1M input tokens and $0.295 per 1M output tokens.

A dense wave of open-weight model releases—including Thinking Machines' first model Inkling, Poolside's Laguna S2.1, and Moonshot AI's Kimi K3—signals that consolidation predictions for AI labs have not materialized. Licensing terms, particularly Kimi K3's noncommercial agreement requirement, are emerging as a new front in US-China AI policy.

A wave of open-weight model releases from Thinking Machines, Tencent, Poolside, Moonshot AI, and Meituan signals that model-building capacity is spreading rather than consolidating. The releases range from a 1.6 trillion-parameter MoE trained entirely on Chinese accelerators to a noncommercial-licensed model raising new questions about US-China AI trade.

Chinese AI models from Tencent, Xiaomi, DeepSeek, MiniMax and Z.ai now occupy the top five positions by weekly token usage on OpenRouter, a major AI marketplace. The shift threatens to commoditize premium models from OpenAI and Anthropic as businesses reserve expensive frontier systems for only their hardest problems.

Tencent has released Hy3, a 295-billion parameter Mixture-of-Experts model with 21 billion active parameters and 3.8 billion MTP layer parameters. The model features a 256K context window and is released under Apache 2.0 license, with pricing not yet disclosed.

Tencent is testing an AI assistant called Xiaowei in Weixin, the Chinese version of WeChat, which has over 1.4 billion monthly active users combined with WeChat. Users can interact with Xiaowei through text or voice, communicate with friends, and launch mini-programs within the app.

Tencent released Hy-MT2, a family of multilingual translation models available in 1.8B, 7B, and 30B-A3B (MoE) sizes. All models support translation among 33 languages and follow translation instructions in multiple languages. The 1.8B model can be compressed to 440MB using 1.25-bit AngelSlim quantization.

DeepSeek has released two new models in its V4 series: DeepSeek-V4-Flash and DeepSeek-V4-Pro, both now available on Hugging Face. Separately, Tencent has shipped Hy3-Preview, marking simultaneous releases from two major Chinese AI labs.

Tencent has released Hy3-preview, a 295-billion-parameter Mixture-of-Experts model with 21 billion active parameters and a 256K context window. The model scores 76.28% on MATH and 34.86% on LiveCodeBench-v6, with particularly strong performance on coding agent tasks.