StepFun's Step-5 Preview: 600B-Parameter Sparse MoE With a Million-Token Context

A new Chinese multimodal model targets agentic coding and knowledge work with a 600B sparse mixture-of-experts architecture and 1M-token context.

StepFun has released a preview of Step-5, a 600B-parameter sparse mixture-of-experts model with a 1M-token context window and multimodal capabilities, according to @marcopapa99. The model is aimed squarely at agentic coding and knowledge work — the two application areas where long context and reasoning depth matter most.

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