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MIMiniMax

MiniMax Models

Browse models from MiniMax MiniMax models

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MiniMax

MiniMax-M3.1-Flash

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Text modelPopularReasoningToolsVisionOpen Weights1M context

MiniMax-M3.1-Flash is MiniMax’s multimodal M-series model for agent reasoning, tool use, coding, and long-context tasks.

From
$0.15/1M tokens
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MiniMax

MiniMax M3

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Text modelPopularReasoningToolsVisionOpen WeightsFiles

MiniMax-M3 is a frontier-class foundation model that unites the three capabilities defining today's frontier: a 1M-token context window, frontier coding and agentic performance, and native multimodality — the first open-weight model to deliver all three in a single system.

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$0.3/1M tokens
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MiniMax

MiniMax M2.7 High Speed

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Text modelPopularReasoningToolsOpen Weights200K205K context

M2.7 Highspeed: Same performance, faster and more agile (output speed approximately 100 tps)

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$0.6/1M tokens
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MiniMax

MiniMax M2.7

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Text modelPopularReasoningToolsOpen Weights200K205K context

M2.7 delivers outstanding performance in real-world software engineering, including end-to-end full project delivery, log analysis and bug troubleshooting, code security, machine learning, and more.

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$0.3/1M tokens
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MiniMax

MiniMax M2.5 High Speed

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Text modelPopularReasoningToolsOpen Weights200K205K context

M2.5 highspeed: Same performance, faster and more agile (output speed approximately 100 tps)

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$0.6/1M tokens
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MiniMax

MiniMax M2.5

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Text modelPopularReasoningToolsOpen Weights200K205K context

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity.

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$0.3/1M tokens
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MiniMax

MiniMax M2.1 Lightning

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Text modelPopularReasoningToolsOpen Weights200K205K context

MiniMax-M2.1-lightning is a faster version of MiniMax-M2.1, offering the same performance but with significantly higher throughput (output speed ~100 TPS, MiniMax-M2 output speed ~60 TPS).

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$0.3/1M tokens
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MiniMax

MiniMax M2.1

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Text modelPopularReasoningToolsOpen Weights200K205K context

MiniMax 2.1 is MiniMax's latest model, optimized specifically for robustness in coding, tool use, instruction following, and long-horizon planning.

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$0.3/1M tokens
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MiniMax

MiniMax M2

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Text modelPopularReasoningToolsOpen Weights205K205K context

MiniMax-M2 redefines efficiency for agents.

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$0.3/1M tokens
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