MiniMax M3.1 Flash is the Flash-tier successor in MiniMax's M3 family, a multimodal reasoning model built for coding, autonomous agents, computer use, and long-horizon workflows at low cost. It is a 428B-parameter Mixture-of-Experts model with about 23B active parameters, accepts text, images, and video, and returns text, with a 1M-token context window and output up to about 524K tokens. Thinking is always on, with tunable depth. MiniMax reports about 70% lower overall cost than M3 on agentic tasks, with flat pricing and no long-context surcharge. It is currently API-only (MiniMax API, M Plan, and MiniMax Code), and MiniMax says weights will be released later.
FastRouter routes your requests to this provider. You can also bring your own key.
minimaxRequest parameters you can send with this model.
Median throughput and time to first token per provider over the last week.
OpenAI-compatible. Point your SDK at FastRouter, or call the API directly.
<FASTROUTER_API_KEY> with your key · Get your key →Installminimax/minimax-m2.5-highspeedMiniMax-M2.5-HighSpeed (also called the Lightning variant) is the high-throughput version of MiniMax's 229B-parameter Mixture-of-Experts (MoE) model, delivering 100 tokens/second natively—roughly 2x faster than other frontier models—while maintaining identical capabilities to the standard 50 tokens/second version.
minimax/minimax-m2.7MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity with self-improvement capabilities. Created on March 18, 2026, it integrates advanced agentic capabilities through multi-agent collaboration, enabling it to plan, execute, and refine complex tasks across dynamic environments.
minimax/minimax-m2.7-highspeedMiniMax-M2.7-HighSpeed is the ultra-fast variant of MiniMax's M2.7 flagship model, delivering approximately 100 tokens per second—3x faster than competitors like Claude Opus 4.6 (~33 tps) and GPT-5 (~40 tps)—while maintaining identical performance on complex tasks at a fraction of the cost.
minimax/minimax-m3MiniMax M3 is a multimodal foundation model from MiniMax, built for coding, agentic workflows, long-context reasoning, and multimodal inputs. It supports up to 1 million tokens of context through MiniMax’s Sparse Attention (MSA) architecture and is positioned as a frontier model for long-horizon tasks.
Model scores sourced from ArtificialAnalysis