MiniMax drops M2.5 with frontier speed at a fraction of the cost
MiniMax just introduced M2.5, a foundation model fine-tuned via large-scale reinforcement learning for real-world coding, search, and office agent tasks. It achieves an 80.2% mark on SWE-Bench Verified while pushing inference speeds up to 100 tokens per second for just $1 an hour. The model is already deployed across MiniMax Agent.