StepFun launches a 600B agent model at $1 per million input tokens

Jiang Daxin's flagship pairs a 1M-token window with aggressive pricing, while its own tests still trail top rivals on several coding benchmarks.

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Primary source: StepFun

Why it matters

StepFun is pairing open-weight models with a proprietary flagship, using low agent costs as its wedge while its own benchmarks still show a capability gap.

A large, translucent display screen in a high-tech lab shows abstract data visualizations, with server racks softly glowing in the background.

StepFun founder and CEO Jiang Daxin introduced Step 5 Preview, betting that a sparse 600-billion-parameter model can win agent workloads with low operating costs despite trailing top rivals on several company-reported benchmarks.…

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