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Grounded answers, steady agents, honest limits.
Tencent's Hunyuan AI laboratory engineers massive-scale enterprise foundation models like Hy4 and Hy3, optimized for resilient multi-task execution, Chinese-English translation, and scalable business logic.
Strict Zero Data Retention (ZDR): Requests are processed ephemerally in RAM. No user data, prompts, or completions are stored, indexed, or used for model training.
Available under ARMES unified subscription without separate API keys or billing agreements.
Hy4 preview (tencent/hy4-preview) is Tencent Hy Team's open-weight, 770B-total / 49B-active Mixture-of-Experts flagship (Apache 2.0, released Aug 28, 2026) built for long-horizon coding agents, complex tool-use workflows, and productivity tasks, backed by a 1,048,576-token context window and DeepSeek-style sparse attention.
GPQA Diamond: 90.4%, HLE: 53.2%, BrowseComp: 84.2% (beats DeepSeek V4-Pro 83.4 & Opus 4.7 79.3; ~ties GPT-5.5 84.4), DeepSearchQA: 91.0, MCP-Atlas: 79.1 (beats Opus 4.7's 77.3), Terminal-Bench 2.1: 71.7% (beats Opus 4.7 & DeepSeek V4-Pro), SWE-bench Verified: 78.0%, GSM8K: 95.37%, MATH: 76.28%, Factual hallucination rate: 5.4% (down from 12.5% in preview), MRCR long-dialogue: 75.1% (up from 42.9%) | Grounded factual Q&A and RAG (trained to answer when grounded and flag missing evidence rather than fabricate), web-browsing/research agents, multi-step tool orchestration, customer-support and long multi-turn dialogue (coreference resolution, constraint tracking across turns), professional document generation, focused coding tasks.
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