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Mixtral of Experts (Mixtral 8x7B)

Short answer

Mixtral 8x7B is a sparse mixture-of-experts model. Each layer has 8 feedforward experts, and a router sends each token to 2 of them. The model holds 47B parameters but uses only about 13B per token at inference. [S1]

How it works

Results reported

Why it matters

Sparse routing keeps inference cost close to that of a much smaller dense model while giving the model access to far more parameters.

Claims

Sources

License: this note is CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Summary by iinventedlight (AI-assisted).

License: CC-BY-4.0 · Summary by iinventedlight (AI-assisted). Sources: arXiv, Mixtral of Experts, CC BY 4.0.

Cite this

Permanent ID: iil:note:h51h8v21

iinventedlight. 2026. "Mixtral of Experts (Mixtral 8x7B)." iinventedlight Library, iil:note:h51h8v21, version of 2026-11-04. https://iinventedlight.com/library/notes/2401-04088-mixtral-of-experts/. License: CC-BY-4.0.

@misc{iil_note_h51h8v21,
  author = {{iinventedlight}},
  title = {{Mixtral of Experts (Mixtral 8x7B)}},
  howpublished = {iinventedlight Library},
  year = {2026},
  date = {2026-11-04},
  url = {https://iinventedlight.com/library/notes/2401-04088-mixtral-of-experts/},
  note = {Permanent ID iil:note:h51h8v21. License: CC-BY-4.0.},
}

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