MiniMax launches M3.1 Flash model, says it cuts AI agent costs by 70%

Large language models can be made cheaper to run by activating only part of their network for each token, a trick called sparsity. MiniMax says its M3.1 Flash, a 428-billion-parameter model, uses more aggressive sparsity to make agent tasks 70% cheaper and nearly three times faster than its previous model. It costs 15 cents per million input tokens.

Summary written with AI by HowTechMoves, based on reporting by SiliconANGLE.