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Open-Weight Frontier Models: StepFun Step 5 Preview vs. Meta Muse Spark Open

Total Parameters / Architecture600B MoE
Active Parameters27B Active
Context Length1M Context
Total Parameters / Architecture816B Open-Weight MoE
Context Length1M Context

Model Comparison: StepFun Step 5 Preview vs. Meta Muse Spark Open

Both StepFun and Meta have recently introduced large-scale open-weight Mixture-of-Experts (MoE) models supporting extended context windows.

Reported Facts

  • **StepFun Step 5 Preview**: Features a 600B MoE architecture, 27B active parameters, and a 1M context window.
  • **Meta Muse Spark Open**: Features an 816B open-weight MoE architecture and a 1M context window.
  • Analysis

    Comparing the two models reveals different scaling strategies within the open-weight ecosystem. Meta's Muse Spark Open operates at a higher total parameter count of 816B, whereas StepFun's Step 5 Preview reports 600B total parameters alongside a specified 27B active parameter count. Both share a 1M context window capability. No hands-on testing or independent benchmark validation was conducted.

    Research sources