MiniMax-M3.1-Flash

MiniMax-M3.1-Flash is a text chat model developed by MiniMax, a Chinese AI company that builds and publishes the MiniMax M-series of general-purpose language models. The "Flash" designation in the name places it as the latency- and throughput-oriented variant of the M3.1 generation, the tier typically intended for workloads where response speed and cost per request matter more than maximum capability on the hardest reasoning tasks. The measurements we track for this model come from Artificial Analysis: an output generation rate of roughly 142 tokens per second and a time to first token of about 730 milliseconds. Together those figures describe a model that begins responding in under a second and sustains a generation speed suited to streaming chat interfaces, where tokens appear faster than most users read. Other specifications — context window, input modalities, tool-calling support, and weight availability — are not currently tracked in our database for this entry, so check MiniMax's own documentation or your chosen inference provider's model card before building against assumptions. In practice, models in a Flash-style tier are chosen for assistant front-ends, high-volume text transformation, and pipeline steps where a request is issued thousands of times a day. When comparing MiniMax-M3.1-Flash against alternatives listed on this site, the useful axes are the measured throughput and first-token latency above, the per-token rates in the pricing table, and your own evaluation on representative prompts — benchmark aggregates rarely predict performance on a specific task mix.