MiniMax-Text-01

Training compute

3.1×10²⁴ FLOP

Parameters

456B

Published

Jan 14, 2025

MiniMax-Text-01 is an AI model developed by MiniMax (China), first published in January 2025. It works in the language domain, on tasks such as language modeling/generation and question answering.

Training it took an estimated 3.1×10²⁴ FLOP of compute (estimation method: operation counting). The model has 456,000,000,000 parameters. It was trained on roughly 7.2T datapoints. Training ran on NVIDIA H800 SXM5.

Access: Open weights (restricted use). Its weights are openly available. Epoch AI rates the confidence of this record as likely.

Full record

Organization: MiniMax
Country of organization: China
Domain: Language
Task: Language modeling/generation, Question answering
Training compute: 3.1×10²⁴ FLOP
Compute estimation method: Operation counting
Parameters: 456,000,000,000
Dataset size: 7.2T
Training hardware: NVIDIA H800 SXM5
Model accessibility: Open weights (restricted use)
Open weights: Yes
Epoch confidence: Likely