Radar / AI models / StepFun Step-5-Preview

StepFun Step-5-Preview — open BF16 weights released

StepFun released the full downloadable files of its large Step-5-Preview AI model, which accepts text, images and video.
In today's Spotlight · Picked by 3 of 4 modelsStepFun released the full downloadable files of its large Step-5-Preview AI model, which accepts text, images and video.Like a restaurant publishing its secret recipe for anyone to cook.

StepFun published the full BF16 weights for its flagship Step-5-Preview agentic model (600B-parameter sparse MoE, 27B active per token, 1M-token context, text/image/video input) on Hugging Face overnight.

new launchmodels · open-weightsJEV traction 0.73added 2026-10-15
Open StepFun Step-5-Preview →View on the radar

Why it matters

First 600B-class Chinese open-weight model scoring in the global top-3 on Artificial Analysis (index 44) while costing ~1/8th of Claude Opus 5 per task; built natively for long-horizon agentic coding and tool use.

What you could build with it

An indie dev-tools startup could self-host Step-5-Preview to power a low-cost long-horizon coding agent for repo-scale refactors: the 1M-token context fits entire codebases, tool calling is native, and inference runs on the user's own GPU box at a fraction of frontier-API prices.

Does it hold up?

Too early to judge self-hosting — weights landed hours ago. API track record is strong (#2 on OpenRouter by usage pre-release). Caveat: license is the StepFun Community License, not Apache/MIT, so check commercial terms before productizing.

Built with StepFun Step-5-Preview

Learn more

Official model card — architecture, benchmarks, deployment guide →

First spotted on hf: source.

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