Tencent Hy

An agentic pipeline that composes large-scale open worlds from text prompts and outputs editable, game-ready 3D assets with geometry and textures. The output is explicitly not video frames and not Gaussian splats, so an artist can open the result and modify it.

Tencent's 3D creation pipeline opens to everyone with no application required. PartGen 1.5 raises component partitioning to 1536³ and adds brush-based manual editing, while HY 3D 3.1 accepts up to eight input views and improves texture fidelity.

Tencent Hy, Fudan and Tsinghua release ExplorationBench, using executable alien-rule sandboxes graded by interpreter or proof checker. Across 10 frontier systems, feedback beats solo reasoning and self-designed probes beat replayed ones.

Tencent ships Hy3: a 295B-parameter MoE (21B active, 256K context) under Apache 2.0, with a two-week free API and day-one support in Cline, OpenCode, Kilo Code and OpenClaw. 1-bit and 4-bit GGUF builds run the flagship on a single GPU through llama.cpp with MTP.

An 80B MoE (13B active) that reasons over an input image before editing it, using a native chain-of-thought schema trained with Tencent's MixGRPO. Targets add/remove/modify edits that leave untouched regions intact, plus multi-image fusion. The web demo is PC-only.

A speech recognition preview built on Hy3's language model rather than a standalone acoustic stack, which Tencent credits for context awareness and dialect robustness on messy real-world audio. The headline self-reported figure is roughly 3% multilingual word error rate.

MMAE tests whether audio models can edit rather than generate: change what an instruction names and leave everything else untouched. Across 2,000 samples and 17,741 rubric items spanning speech, music and mixtures, exact-match rates sit below 5%, with multi-hop and multi-round edits the weakest.

Tencent open-sources WorldMirror, a universal feed-forward 3D reconstruction model that accepts video, multi-view images, text or a single frame and optionally camera poses, intrinsics and depth as geometric priors. One pass on one GPU yields point clouds, depth maps, normals, camera parameters and

Tencent and Renmin University open-source PlanningBench: 30+ real-world planning tasks with automated verification, usable for both evaluating and training LLM planning, with reported results for current frontier models.

Tencent introduces Hyra-1.0, a research agent built to recursively improve its own solutions on performance-driven research and engineering tasks, with demos published across AI4AI, AI4Science and AI4Fun.

Tencent Hunyuan's EvolveScaler benchmark tests whether models can reconstruct ground truth from event logs where records get retracted and backfilled. Frontier models' accuracy drops to 11.3% on the hardest tier, while training on the data raises out-of-distribution scores by 5.25 points.

AngelSpec covers drafter training and deployment for speculative decoding. On Hy3-A21B its DFly drafter reports a 1.98–2.40x end-to-end speedup over autoregressive decoding at concurrency 4–64, and 10.5–11.8% higher throughput than DFlash. Drafter weights included.

HunyuanOCR arrives as a 1B-parameter model claiming state-of-the-art text recognition, small enough to run cheaply in a document pipeline. Weights, a hosted demo, web and mobile project pages and a technical report are all public.

HunyuanVideo 1.5 is an 8.3B DiT video model generating 5–10 second 480p/720p clips on consumer GPUs with 14GB of VRAM, with super-resolution to 1080p. Weights, code and the technical report are public.

Tencent Hunyuan open-sourced AuK, a unified speech model handling zero-shot TTS, instruction-controlled generation, voice/style/emotion editing, de-accenting, and multi-speaker/music separation, plus AuK-Flash, a 4-step distilled variant roughly 4.5x faster.

Tencent and Tsinghua use test-time training to hold fast weights as compact spatial memory over long video, reporting sublinear memory growth past 7,000 frames, 40%+ less compute, and SOTA on VSI-Bench. Paper, code, models and data are all public.

Two translation specialists, a 1.8B dense model and a 30B-A3B MoE, are now routable through OpenRouter, covering 33 languages with instruction following aimed at structured, contextual, and style-guided translation rather than raw sentence pairs.

The Hy-MT2 translation model weights move to Apache 2.0, clearing commercial use, fine-tuning and derivative distribution. Two variants are currently sitting near the top of the Hugging Face trending list.

Tencent Hunyuan ships an efficiency upgrade to its Hy4 preview coding model, cutting excessive verification and long-thinking overhead to reduce turns and token usage while holding task quality steady per benchmark and human evaluation.

Tencent open-sources a streaming video diffusion model that generates explorable 3D worlds from text or an image at 24 FPS, holding geometric consistency over long horizons by rebuilding context from past frames rather than letting memory decay. Keyboard and mouse control use a dual action represent

Four new results from Tencent's math agent on open problems: the 3D Blaschke–Lebesgue lower bound rises to 97.9% of the conjectured Meissner optimum, the Beurling–Ahlfors coefficient tightens to 1.523958, and commutator approximation cost drops from O(log⁵(1/ε)) to O(log³).

Two Tencent open-source drops landed at once: HunyuanImage 3.0, an 80B-parameter text-to-image model, and Hunyuan3D-Part, which pairs P3-SAM native 3D part segmentation with X-Part for controllable shape generation. Both are free to deploy.

Tencent Hunyuan's Hy Image3.5 preview adds text-to-image and image-to-image generation up to 2K resolution with better consistency, claiming a +30% human-eval win rate over Hy Image3.0, priced at $0.024 per generated image via API.

Tencent's newest flagship preview becomes selectable in OpenCode Go: 770B total parameters with 49B active per token and a 1M-token context window, positioned specifically for coding agents rather than chat.