Partially Verified65% confidenceFactExact time
Step-5-Preview adopts an MoE architecture with 600B total parameters and 27B activated parameters.
3
Sources
65%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
StepFun Step-5-Preview Released: 600B Flagship Model Enters the Agent Race
redditr/LocalLLaMA10/15/2026
Related Entities
Related Claims
UnverifiedStep 5 Preview's 600B total parameters correspond to about 27B activated parameters, an activation ratio of less than 5%, which is a highly sparse configuration.78% similarUnverifiedStep 5 Preview is StepFun's newly released next-generation flagship foundation model, using a sparse MoE architecture with a total parameter count of 600 billion, activating approximately 27 billion parameters per token.76% similarUnverifiedLFM2.5-24B-A2B has 24 billion total parameters and uses an MoE architecture with 64 experts per block, Top-4 dynamic routing, and only 2.45 billion parameters activated per token.61% similarUnverifiedIn the MoE architecture, the Mixtral 8x7B model has a total of 46.7B parameters, but only approximately 12.9B parameters (2 experts) are activated per token, making inference costs close to those of a 13B dense model while achieving performance comparable to the 70B level.60% similarVerifiedKimi K2.6 adopts a Mixture of Experts (MoE) architecture, with a total parameter count at the trillion level and only 32B parameters actually activated.60% similar
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