LLMilestonesA milestone timeline of AI and large language models

Act III · The ChatGPT moment

Open modelMistral AI

Mixtral 8×7B: MoE takes off in open source

A mixture-of-experts (MoE) model: many parameters in total, only some of them active each time.

46.7B / 12.9Btotal / active parameters per token

Why it matters

Stronger results at lower inference cost, helping make MoE one of the mainstream architectures.

Led to

DeepSeek-V3

Source: mistral.ai ↗

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