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Tencent releases Hy3, an open 295B MoE model with 256K context

By PulseAugur Editorial · [1 sources] ·

Tencent has released Hy3, an open-source 295 billion parameter Mixture-of-Experts (MoE) model designed for complex reasoning, agentic workflows, and long-context tasks. The model activates only 21 billion parameters per token, maintaining efficiency while supporting a 256K context window. Hy3 demonstrates strong performance on various benchmarks, including coding, STEM, and reasoning tasks, and has undergone specific training to improve reliability in tool calling, reduce hallucinations, and enhance multi-turn intent tracking. The model is accessible via an OpenAI-compatible API and offers a `reasoning_effort` parameter to control its thinking process. AI

IMPACT Sets a new benchmark for open-source MoE models, potentially accelerating research and development in agentic workflows and long-context applications.

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

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

Tencent releases Hy3, an open 295B MoE model with 256K context

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

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Tencent Releases Hy3: An Open 295B Mixture-of-Experts (MoE) Model with 21B Active Parameters and 256K Context

    <p>Tencent's Hy team released Hy3, a 295B Mixture-of-Experts (MoE) model that activates only 21B parameters per token. It ships under Apache 2.0 with a 256K context window, targeting reasoning, agentic, and long-context tasks. Hy3 reports 78.0 on SWE-Bench Verified and lower hall…

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