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Open weightsStepFun/10 trustVerified
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Step-Audio

Open speech-to-speech model that hears emotion, accent, and laughter — not just words

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About

Step-Audio is StepFun's unified speech-text multimodal model: a 130B-parameter system that ingests raw speech tokens, reasons in a joint audio-text space, and emits speech directly, keeping prosody, emotion, accent, and even laughter intact instead of flattening everything through a text transcript. The Step-Audio-Chat version is open-sourced with inference code, and the team also distilled a lightweight Step-Audio-TTS-3B that claims state-of-the-art character error rates on the SEED TTS benchmark and can generate rap and humming. It supports tool calling and role-play for agentic voice applications. The full 130B model demands serious hardware, and as with any large open voice model, cloning capabilities need consent safeguards in production.

Specs

Context window

Speech plus text multimodal context; exact window not published

Pricing

Free — open weights

Free quota

N/A — self-hosted

API access

GitHub inference code and Hugging Face / ModelScope weights; interactive demo on stepfun.com

Weights

Open weights

Released

Not disclosed

Benchmarks

Team-reported: state-of-the-art on the StepEval-Audio-360 human evaluation benchmark; Step-Audio-TTS-3B reports SOTA CER on SEED (paper arXiv 2502.11946)

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

Real-time voice assistantsEmotionally aware dubbingSpeech-to-speech translationVoice AI research

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Paper arXiv 2502.11946 (18 Feb 2025) verified; 130B unified model and Step-Audio-TTS-3B claims from team sources; Open weights via GitHub/Hugging Face confirmed; Exact weight release day not verified — releasedAt null.

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Sources