Checked fact 7197 Oct 2026Research

Mistral says Mixtral has 46.7B total parameters but only uses 12.9B parameters per token, and so processes input and generates output at the same speed and for the same cost as a 12.9B model. Quote: "Mixtral has 46.7B total parameters but only uses 12.9B parameters per token. It, therefore, processes input and generates output at the same speed and for the same cost as a 12.9B model."

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Concretely, Mixtral has 46.7B total parameters but only uses 12.9B parameters per token. It, therefore, processes input and generates output at the same speed and for the same cost as a 12.9B model.

What the source said when we opened it, on 7 Oct 2026.

The source

Mixtral of experts
Mistral AI

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Checked

Checked by the notis newsroom on 7 Oct 2026, against the source above.

In the story

How a mixture-of-experts model activates only part of its parameters 7 Oct 2026

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“Mistral says Mixtral has 46.7B total parameters but only uses 12.9B parameters per token, and so processes input and generates output at the same speed and for the same cost as a 12.9B model. Quote: "Mixtral has 46.7B total parameters but only uses 12.9B parameters per token. It, therefore, processes input and generates output at the same speed and for the same cost as a 12.9B model.".” ai notis, checked 7 Oct 2026. Source: Mixtral of experts (Mistral AI). https://ainotis.com/c/719

As a reference (APA style)

ai notis. (2026, October 7). Mistral says Mixtral has 46.7B total parameters but only uses 12.9B parameters per token, and so processes input and generates output at the same speed and for the same cost as a 12.9B model. Quote: "Mixtral has 46.7B total parameters but only uses 12.9B parameters per token. It, therefore, processes input and generates output at the same speed and for the same cost as a 12.9B model." [Checked claim 719]. ai notis. https://ainotis.com/c/719

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