230B / 10B (MoE)
MIT (modified, requires 'MiniMax M2.5' attribution on commercial product UI)
Frontier model designed for real-world productivity; extensively trained with RL in 200K+ complex real-world environments; SOTA in coding, agentic tool use, search, and office work; SWE-Bench Verified (80.2%), Multi-SWE-Bench (51.3%), BrowseComp (76.3%); two variants: M2.5 and M2.5-Lightning (2x faster at 100 tok/s steady throughput); 205K context window; trained on 10+ programming languages (Go, C, C++, TypeScript, Rust, Kotlin, Python, Java, JavaScript, PHP, Lua, Dart, Ruby); cost efficiency: $1 for 1 hour continuous at 100 tok/s, 1/10th to 1/20th cost of Opus/Gemini 3 Pro/GPT-5; pricing: $0.30/1M input, $1.20/1M output