MiniMax-M3

MiniMax-M3 is a next-generation, trillion-parameter MoE (Mixture of Experts architecture) flagship multimodal large model. The model achieves a leapfrog upgrade in metrics such as complex tool invocation, massive long-text processing, and high-concurrency production deployment. As a native, all-in-one multimodal model, M3 not only rivals the world’s leading cutting-edge models in multilingual text and long-range logical reasoning, but also demonstrates outstanding performance in native multimodal streaming interaction (end-to-end integration of speech, video, and text), specifically designed for next-generation hyper-realistic intelligent agents and enterprise-level core business applications.

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Core Capabilities

Million-Token-Level Contextual Retrieval—Like Finding a Needle in a Haystack: By default, it supports an ultra-long context window of up to 1 million tokens, maintaining a 100% lossless information recall rate in the industry-recognized “Needle In A Haystack” benchmark. It can effortlessly handle entire technical monographs, tens of thousands of lines of enterprise-level cross-file codebases, or hours-long meeting recordings, performing precise logical extraction and vulnerability audits.

Native End-to-End Multimodal Interaction: It adopts a true omnimodal (Omni) fusion architecture—not the traditional “text-plus-speech plugin” stitching approach. It supports end-to-end streaming input and output of text, ultra-realistic speech (including emotional expression, breathing sounds, and dialect metaphor control), and visual images. It delivers ultra-low latency at the millisecond level in real-time speech practice, bidirectional audio-video interaction, and multimodal content generation scenarios.

Massive Tool Manipulation and Complex Planning: Addressing the pain points of large-model “hallucinations” and fragmented complex task execution, M3 has deeply enhanced its tool-call and long-term task-planning capabilities. It enables precise orchestration and invocation of hundreds or even thousands of enterprise-grade private APIs within a single workflow, perfectly handling highly complex production tasks such as automated financial audits and multi-platform cross-border supply-chain collaboration.

Ultra-High-Concurrency Enterprise Deployment: Thanks to a highly optimized MoE dynamic routing algorithm and self-developed high-performance inference operators, while maintaining flagship-level output quality, M3 reduces first-token latency (TTFT) by 40% compared to the previous generation, significantly boosting overall throughput. It perfectly supports ultra-high-concurrency, high-frequency business lines, providing enterprises with exceptional output stability and unbeatable cost-effectiveness for production readiness.