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Tencent Hunyuan 3 launches with 295B params, matching GPT-5.5 search

Tencent has officially launched Hunyuan 3 (Hy3), an AI model featuring a Mixture of Experts (MoE) architecture with 295 billion total parameters. The model boasts a 256K context window and claims to match GPT-5.5 in search capabilities while halving its hallucination rate compared to previous versions. Tencent attributes these improvements to enhanced post-training data quality and expanded reinforcement learning compute scale, with the arrival of professor Yao Shunyu noted as a significant factor. AI

IMPACT This release signifies a significant step for Chinese LLMs, potentially lowering inference costs and challenging top international models in search and RAG applications.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Tencent Hunyuan 3 launches with 295B params, matching GPT-5.5 search

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Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · WDSEGA ·

    Tencent Hunyuan 3: 295B Params, Search Matches GPT-5.5, Hallucination Halved

    <h1> Tencent Hunyuan 3 Officially Released: 295B Params, Search Matches GPT-5.5, Hallucination Halved </h1> <blockquote> <p>Yao Shunyu's first major deliverable at Tencent: MoE architecture with 295B total params, search capability matching GPT-5.5, hallucination rate cut in half…