MiniMax M2.5 230B

MiniMax M2.5 by MiniMaxAI uses sparse MoE (~230B total, ~10B active), up to ~204k+ context. Excels at coding, agents, and long workflows. Benchmarks show strong multilingual coding, stable task decomposition, and consistent tool execution. Teams deploy it for developer assistants, autonomous agents, and complex multi-step workflows where long memory and cost efficiency matter.

INPUT

Chat templates

System Prompt:

Top K

Top P

Temperature

Maximum response length in tokens

Progress

Console Output

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