The latest AI news and updates of Tencent Hunyuan — AI division of Tencent building open-source multimodal models for language, image, and video. Covering Tencent Hunyuan's latest launches, product updates, and research from the past 90 days.
Tencent HunyuanSep 11Tencent Hunyuan released AuK, an open-source foundation model that unifies speech generation and editing through natural-language instructions and reference audio. The release includes AuK-Flash, a distilled variant that performs 4-step inference for a 4.5x speedup under matched conditions. Code, weights, and a demo are now publicly available for research and development.
Tencent HunyuanSep 1Tencent’s Hy4 preview model autonomously identified and resolved inference bottlenecks, increasing end-to-end throughput by 31.8%. The model achieved these gains through operator fusion and communication optimizations. This performance improvement remains stable across varying context lengths and concurrency levels, demonstrating the model’s ability to refine its own infrastructure.
Tencent HunyuanAug 30Tencent Hunyuan compressed its 770B Hy4-preview model into a 200GiB GGUF format using a mixed-precision quantization method called MIX-STQ1_0. By using calibration data to dynamically assign bit-widths across layers, the model maintains near-original accuracy while reducing size by over 85%. The weights and required llama.cpp patches are available on HuggingFace.
Tencent HunyuanAug 29Tencent released Hy4 preview, a 770B-parameter model with 49B active parameters and a 1M-token context window. Built for productivity, the model targets software engineering, data analysis, and scientific research. It is available as open-source weights on HuggingFace and via Tencent Cloud and OpenRouter, with pricing starting at $0.834 per million input tokens.
Tencent HunyuanAug 22Tencent added its Hy-MT2-1.8B and Hy-MT2-30B-A3B translation models to the OpenRouter API. These models support 33 languages and five Chinese dialects, providing multilingual instruction following for structured, contextual, and style-guided translation tasks. Both models are now available for integration through the OpenRouter unified platform.
Tencent HunyuanAug 12Tencent Hunyuan published a survey on reliable self-evolving agents, introducing an L0–L4 taxonomy of evolution depth and a reliability ladder for external audits. The framework, which includes a catalog of 549 papers, establishes that an update must not serve as its own sole auditor to ensure trustworthy self-modification.
Tencent HunyuanAug 11Tencent Hunyuan released Hy3D WorldClaw, an agentic framework that generates large-scale, explorable 3D worlds from text prompts. Unlike video or Gaussian splatting methods, the system produces scenes composed of editable, game-ready 3D assets. Specialized agents handle planning, terrain generation, and object placement to maintain global coherence while ensuring individual meshes remain fully manageable for downstream editing.
Tencent HunyuanAug 5Tencent Hunyuan has integrated its Hy3 model into the WorkBuddy global workspace. The agentic platform handles research, data analysis, and document creation without requiring setup. Hy3 is available free to users worldwide through August 31, 2026.
Tencent HunyuanAug 4Tencent Hunyuan released the Hy ASR 3.0 preview, integrating its Hy3 language model to move beyond word-by-word transcription into deep semantic understanding. The model achieves a multilingual word error rate of approximately 3% and improves recognition across dialects and noisy environments. The engine is now available for integration via Tencent Cloud APIs.
Tencent HunyuanJul 31Tencent Hunyuan’s Hy-MT2 multilingual translation model series has surpassed 700,000 downloads and 70 project integrations since its May release. The company now provides the 30B-A3B model in GGUF format to simplify local inference. This release addresses community deployment needs for the model, which supports translation across 33 languages.
Tencent HunyuanJul 30Tencent Hunyuan’s Hyra research agent, powered by the Hy3 model, discovered an explicit construction proving the optimal exponent for a 50-year-old sum-difference set problem is exactly 2. This result matches the 1969 theoretical upper bound, surpassing the previous best construction of 1.2851 achieved by Codex with human guidance. The team published the formal proof and results on GitHub.
Tencent HunyuanJul 29Tencent Hunyuan released AngelSpec, a torch-native training framework for speculative decoding that supports MTP and block-parallel methods. The release includes training code and drafter weights for the Hy3-A21B model. Using the DFly drafter, the model achieves a 1.98–2.40× speedup over autoregressive decoding and 10.5–11.8% higher throughput than DFlash across tested concurrency levels.
Tencent HunyuanJul 21Tencent Hunyuan introduced Hyra-1.0, its first research agent designed to recursively improve solutions for performance-driven research and engineering tasks. The agent features demonstration modules across three domains: AI4AI, AI4Science, and AI4Fun. This release marks the debut of the Hunyuan Research Agent series, focusing on iterative refinement for complex technical workflows.
Tencent HunyuanJul 14Tencent released 1-bit and 4-bit quantized versions of its 295B Hy3 Mixture-of-Experts model. These GGUF-formatted files enable serving the flagship-scale model on a single GPU using llama.cpp. The release includes support for Multi-Token Prediction to improve inference efficiency on consumer hardware.
Tencent HunyuanJul 13Tencent Hunyuan’s Hy3 model now holds the number one position on the OpenRouter LLM leaderboard. The model reached this milestone by processing 6.13 trillion tokens in weekly usage volume. This ranking reflects real-world developer traffic on the platform, marking a significant shift in model adoption.
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