AI Research Atlas

Mixtral of Experts (paper)

Mistral AI · 8 January 2024

The Mixtral paper documents the 8-expert top-2 sparse MoE: 47B total, 13B active parameters, 32K context, and claims parity with Llama 2 70B and GPT-3.5.

Public technical description of Mixtral 8x7B (26 authors), including the instruction-tuned variant that the paper says surpasses GPT-3.5 Turbo, Claude-2.1, Gemini Pro and Llama 2 70B chat on human benchmarks.

Date
Monday, 8 January 2024
Lab
Mistral AI
Kind
paper
Access
open weights

Figures

MeasureValueMeasured by
Active / total parameters13B / 47B
abstract
company

arXiv v1 date. Claims in the abstract are authors' own.

Sources

  1. arxiv.org/abs/2401.04088

This record was checked against its sources on 6 October 2026. How we check

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