Hy3

The official tencent/Hy3-preview model card on Hugging Face documents the architecture in detail: 295B total parameters with 21B activated, 3.8B MTP layer parameters, 80 non-MTP layers plus 1 MTP layer, 64 attention heads using grouped-query attention with 8 KV heads at head dim 128, hidden size 4096, intermediate size The card highlights gains in STEM reasoning (FrontierScience-Olympiad, IMOAnswerBench, the Tsinghua Qiuzhen College Math PhD qualifying exam Spring 2026, and CHSBO 2025), context learning and instruction following (via Tencent's CL-bench and CL-bench-Life), and code/agent performance on SWE-bench Verified, Terminal-Ben

Tencent announced broader international access to the officially released Hy3 model on August 5, 2026, following its July 6 launch, making it available through WorkBuddy (free to global users until August 31, 2026 Pacific Time), Tencent Design Miora, and Tencent Cloud TokenHub, with developer API access and further clo The release reiterates Hy3's core technical profile as a hybrid fast-and-slow-thinking Mixture-of-Experts model with 295 billion total parameters, 21 billion active parameters, and a 256K context window, and claims it performs comparably to flagship models with two to five times as many parameters. It also reports that

Tencent officially released its Hy3 open-source AI model on July 6, 2026, featuring a Mixture-of-Experts architecture with 295 billion total parameters, 21 billion active parameters, an additional 3.8 billion MTP layer parameters, and a 256,000-token context window. In a blind evaluation by 270 experts, Hy3 scored 2.67 Hy3 is available under an Apache 2.0 license on Hugging Face, ModelScope, and GitHub, with an FP8-quantized variant also offered. Tencent has already integrated Hy3 into its own products, including WorkBuddy, Yuanbao, WeChat, and the game assistant for Path of Exile: Advent, and platform support for OpenRouter and Clin

Tencent’s Hunyuan team released the full Hy3 model on July 6, 2026, under the permissive Apache 2.0 license, reversing the more restrictive terms associated with its April preview. The model uses a 295-billion-parameter Mixture-of-Experts architecture with 21 billion active parameters per forward pass, top-8 routing ac The release followed roughly ten weeks of feedback and post-training changes informed by more than 50 Tencent product teams, while the underlying architecture reportedly remained unchanged. VentureBeat frames the practical impact around production deployment economics and reliability, but notes that benchmark results w

Third-party leaderboard llm-stats.com ranks Hy3 at position 46 overall with a composite LLM Stats Score of 43.0 and a blended price of $0.16 per million tokens. Capability-tier placement shows it in the top half for Search (12 of 90) and Long Context (14 of 119), while sitting mid-pack for Math (33 of 327), Coding (38 The page also surfaces specific Hy3 benchmark results sourced from its Hugging Face card, including USAMO 2026 (30.24/42, rank 3), DeepSearchQA (0.91/1, rank 5), GPQA (0.90/1, rank 25), and IMO-AnswerBench (0.90/1, rank 3), with a note that scores are self-reported by the model provider. Cost-efficiency positioning com

Tencent's Hy Team released and open-sourced the Hy3 preview on April 23, 2026, following a reorganization, with a Mixture-of-Experts design totaling 295 billion parameters, 21 billion activated parameters, and a 256K-token context window. According to the Baidu encyclopedia entry, the model was deployed across Tencent The entry also records that on April 29, 2026, OpenRouter's global large-model API call-volume ranking placed Hy3 preview first overall, first in tool-calling scenarios, and second in programming scenarios, with the top five high-call-volume applications being agent- and code-related. On July 6, 2026, Tencent officiall