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Tencent Hunyuan open-sources Chinese-English simultaneous interpretation model Hy-SimulMT

2 reports2 discussions4 story updatesUpdated Oct 27 12:57

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On October 26, 2026, Tencent Hunyuan open-sourced the real-time Chinese-English simultaneous interpretation model Hy-SimulMT, with a latency of about 3 seconds and support for real-time voice cloning; the model has been released on Hugging Face, ModelScope, and GitHub. Tencent Hunyuan officially stated that its performance surpasses most open-source models and commercial APIs. The next day, IT Home reported that the model supports real-time Chinese-English speech-to-speech translation and has been launched for free on Tencent's Hy Translation App; according to the official statement, the measured response time is about 3 seconds, compared with an average of 4 to 5 seconds for professional human interpreters. On RealSI, an open-source long-audio evaluation benchmark, the model achieved the best results among open-source models at the lowest latency, and is said to outperform most commercial simultaneous interpretation APIs; in comparisons with six CATTI-certified simultaneous interpretation experts, it scored higher in translation quality and had lower latency.

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Tencent Hunyuan open-sources the Hy-SimulMT simultaneous interpretation large model, with a response time of about 3 seconds

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  1. Tencent Hunyuan Open-Sources Chinese-English Simultaneous Interpretation Model Hy-SimulMT

    Source:English text is being prepared.

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Oct 27

  1. English text is being prepared.

    Tencent Hunyuan open-sources the Hy-SimulMT simultaneous interpretation large model, with a response time of about 3 seconds

    Tencent Hunyuan has released and open-sourced the simultaneous interpretation large model Hy-SimulMT, which supports real-time Chinese-English speech-to-speech translation and real-time voice cloning, and is now available for free on the Tencent Hy Translation App. According to the official statement, its measured response time is about 3 seconds, compared with an average of 4-5 seconds for professional human interpreters. On the long-audio open-source evaluation set RealSI, the model achieves the best results among open-source models at the lowest latency, and is said to surpass most commercial simultaneous interpretation APIs; in comparisons with 6 CATTI-certified simultaneous interpretation experts, it achieved higher translation quality scores and lower latency.

  2. IT Home · AIRelated discussion

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Oct 26

  1. Adina YakupRelated discussion

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  2. Tencent HunyuanFirst-party

    Tencent Hunyuan Open-Sources Real-Time Chinese-English Simultaneous Interpretation Model Hy-SimulMT

    Tencent Hunyuan has open-sourced the real-time Chinese-English simultaneous interpretation model Hy-SimulMT, with a latency of about 3 seconds, supporting real-time voice cloning. The official team claims its performance surpasses most open-source models and commercial APIs, and the model has been released on Hugging Face, ModelScope and GitHub.

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