Tencent Hunyuan open-sources Hy-SimulMT, a 30B-A3B simultaneous speech-translation model with ~3s latency
Tencent Hunyuan
Tencent released Hy-SimulMT on October 26: a 30B-total, 3B-active model for bidirectional Chinese-English speech-to-speech simultaneous translation that consumes a continuous audio stream and emits translated text plus cloned-voice speech. On the RealSI long-form benchmark it reports a StreamLAAL of about 3 seconds — the lowest in its comparison, against 4-5 seconds for human interpreters — with a GEMBA score above the compared open-source models and four of five commercial APIs; weights ship in BF16, FP8 and GGUF, plus an Interleave variant that outputs source text alongside the translation.
Why it matters
Puts an open, sub-4-second speech-to-speech interpreter within reach of self-hosted meeting stacks.
Importance: 3/5
Open-weights release with best-in-comparison latency on a long-form benchmark.