MiniMax M2.1 is MiniMax's second-generation model, focused on coding accuracy, tool use, instruction following, and long-horizon planning. It supports a context window of 204.8K tokens and a max output of 131.1K tokens per request.
import { streamText } from 'ai'
const result = streamText({ model: 'minimax/minimax-m2.1', prompt: 'Why is the sky blue?'})Released on October 27, 2025, MiniMax M2.1 ships alongside a speed-optimized sibling (M2.1 Lightning). Standard MiniMax M2.1 targets reliability gaps that kept M2 out of serious engineering pipelines.
M2 could write passable code, but outputs grew inconsistent on harder assignments. Instruction sequences with four or five chained tool invocations sometimes arrived reordered or incomplete. MiniMax M2.1 addresses both issues through targeted training improvements across Go, C++, JavaScript, C#, TypeScript, Rust, Java, Kotlin, and Objective-C. The result is cleaner output on refactoring, feature scaffolding, bug isolation, and automated review.
Interleaved Thinking (alternating reasoning steps with action steps) debuted with the 2.1 generation. It gives the model a structured way to plan before executing multi-part instructions. For asynchronous workloads like CI-triggered reviews, nightly code audits, or batch refactoring queues, standard MiniMax M2.1 delivers identical output quality at the baseline rate.