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StepFun Launches Step 5 Preview: A 600B-Total, 27B-Active MoE Model With 1M Context for Long-Horizon Agentic Work

MarkTechPostby Michal Sutter ()3 min read4 · 2 reads
AI summary · glm-5.3Summaries by Vani AI

StepFun launched Step 5 Preview, a 600B MoE model with 1M context for agentic work, claiming cost efficiency with open weights coming in October.

StepFun has released Step 5 Preview, its new flagship Mixture-of-Experts model for agentic work, featuring 600B total parameters and a 1M-token context window. The model activates approximately 27B parameters per token, offering a cost-effective alternative for software engineering and knowledge work. StepFun claims competitive benchmarks, though independent analysis by Artificial Analysis scores it below frontier models like Claude Opus 5 and GPT-6 Astra on intelligence.

Key facts
  • StepFun launched Step 5 Preview, a 600B-total, 27B-active MoE model.
  • The model offers a 1M-token context window and text/image/video input.
  • API pricing is $1.00 per 1M input tokens and $2.70 per 1M output tokens.
  • Open weights are scheduled for release on October 15, 2026.
  • Independent benchmarks score it 44 on Artificial Analysis's Intelligence Index.
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From the original article

3 min read at marktechpost.com

StepFun has released Step 5 Preview, a sparse Mixture-of-Experts model with 600B total parameters and 27B active per token. It supports a 1M-token context window and accepts text, image, and video input. The model targets long-horizon agentic work in software engineering, professional knowledge work, and finance.

MarkTechPost

By Michal Sutter · marktechpost.com

Read the full article at MarkTechPost

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.