MiniMax M2.5

Über dieses Modell

MiniMax M2.5 is a state-of-the-art reasoning MoE model with 229B total / 10B active parameters. Extensively trained with reinforcement learning across 200,000+ real-world environments, achieving SOTA performance in coding (80.2% SWE-Bench Verified), agentic tool use, search, and office productivity tasks. Features 197K context window, efficient MoE inference, and strong multilingual support.

Technische Daten

Fähigkeiten

Eingabe-Modalitäten

Ausgabe-Modalitäten

Reasoning

Standard on

Knowledge horizon