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minimax-m2.1

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minimax

Cost-effective general model for balanced speed and quality.

上下文: 128K
输入 / 1M tokens: $0.31
输出 / 1M tokens: $1.23
缓存读 / 1M: $0.031
缓存写 / 1M: $0.39

ChatMarketing CopyBatch Generation

minimax-m2.5

文本文本

minimax

Built for conversation and bilingual chat.

上下文: 197K
输入 / 1M tokens: $0.304
输出 / 1M tokens: $1.213
缓存读 / 1M: $0.061
缓存写 / 1M: $0

ChatBilingual

minimax-m2.5-highspeed

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minimax

A high-throughput variant of M2.5 with matching quality at roughly triple the speed, tuned for coding and agentic tool use under latency-sensitive workloads.

上下文: 200K
输入 / 1M tokens: $0.6
输出 / 1M tokens: $2.4
缓存读 / 1M: $0.03
缓存写 / 1M: $0.375

CodingReal-time ResponseBatch GenerationAgent

minimax-m2.7

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minimax

A next-generation autonomous language model that uses multi-agent collaboration to plan, execute, and continuously refine complex tasks. It supports production-grade workflows including live debugging, root cause analysis, financial modeling, and document generation across Word, Excel, and PowerPoint.

上下文: 205K
输入 / 1M tokens: $0.3
输出 / 1M tokens: $1.2
缓存读 / 1M: $0.06
缓存写 / 1M: $0

FinanceCodingTranslation

minimax-m2.7-highspeed

文本文本

minimax

Speed-optimized variant of M2.7 with identical outputs, tuned for low-latency coding and agent tool-calling workloads.

上下文: 200K
输入 / 1M tokens: $0.6
输出 / 1M tokens: $2.4
缓存读 / 1M: $0.06
缓存写 / 1M: $0.375

CodingReal-time ResponseOfficeAgent

minimax-m3

文本图像视频文本

minimax

MiniMax\\'s first multimodal release, accepting image and video input. Long-context inference runs cheaper and faster, and it handles multi-step agent workflows and computer-use scenarios.

上下文: 1M
输入 / 1M tokens: $1.2
输出 / 1M tokens: $4.8
缓存读 / 1M: $0.12
缓存写 / 1M: $0

VisionLong Text ProcessingMultimodal UnderstandingAgent Coding

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