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StepFun releases open weights for 600B parameter Step 5 Preview model

Chinese AI lab StepFun has released the open weights for its Step 5 Preview model. This model is a sparse mixture-of-experts system with 600 billion parameters and supports a context window of up to 1 million tokens. The release includes a technical blog and developer tools, and the model has achieved a high ranking on OpenRouter usage charts. AI

IMPACT Enables broader research and development by providing open access to a large-scale, high-context window model.

RANK_REASON Frontier-lab model release with open weights and system card. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on Pandaily →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

StepFun releases open weights for 600B parameter Step 5 Preview model

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100 / 100
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Significant
Frontier-lab model release with open weights and system card. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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3 independent sources
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Topics
model release, infra
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High
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COVERAGE [3]

  1. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    StepFun Releases Open Weights for Step 5 Preview, Publishes Technical Blog on Its Architecture

    Open weights for StepFun's Step 5 Preview are live: 600B total, 27B active, 1M context. A new technical blog explains its 92-layer design, Sparse GQA and long-horizon agent training.

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Chinese AI lab StepFun has released open weights for its Step 5 Preview model, a 600 billion parameter sparse mixture-of-experts system with support for 1 milli

    Chinese AI lab StepFun has released open weights for its Step 5 Preview model, a 600 billion parameter sparse mixture-of-experts system with support for 1 million token context. The model ranks second globally on OpenRouter usage charts. https:// pandaily.com/stepfun-step-5-pr ev…

  3. Mastodon — mastodon.social TIER_1 English(EN) · sipirtu ·

    StepFun released open weights for its Step 5 Preview model, along with a technical blog and supporting developer tools. The sparse mixture-of-experts model has

    StepFun released open weights for its Step 5 Preview model, along with a technical blog and supporting developer tools. The sparse mixture-of-experts model has 600B total parameters and supports a million-token context window. Source: Pandaily https:// pandaily.com/stepfun-step-5…