MiniMax M2.5
MiniMax M2.5 is a hyper-efficient 230B MoE model (10B active) trained via large-scale RL in 200,000+ environments. It excels in office productivity, outputting at 100 tokens/sec at unprecedented cost efficiency.
Leaderboards
Average Score combining domain-specific Autobench scores; Higher is better
Performance vs. Industry Average
Intelligence
MiniMax M2.5 is of lower intelligence compared to average (2.9), with an intelligence score of 2.8.
Price
MiniMax M2.5 is cheaper compared to average ($0.75 per 1M Tokens) with a price of $0.05 per 1M Tokens.
Latency
MiniMax M2.5 has a higher average latency compared to average (44.25s), with an average latency of 75.15s.
P99 Latency
MiniMax M2.5 has a higher P99 latency compared to average (126.46s), taking 240.81s to receive the first token at P99 (TTFT).
Context Window
MiniMax M2.5 has a smaller context window than average (406k tokens), with a context window of 197k tokens.