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Comparison of MiniMax: MiniMax M3, MiniMax: MiniMax-01, MiniMax: MiniMax M2.1
3 modelsminimaxMiniMax: MiniMax M3Remove ×minimaxMiniMax: MiniMax-01Remove ×minimaxMiniMax: MiniMax M2.1Remove ×
What’s differentMiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per inference, and can handle a…MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a…
DateMay 31, 2026ListedJan 15, 2025ListedDec 23, 2025Listed
Listed rate$0.224 in / $0.88 out/ 1M tokensDeepInfra · via OpenRouter · all routes ↗deepinfra/fp8/flex · tier=flex · quantization=fp8$0.20 in / $1.10 out/ 1M tokensMinimax · via OpenRouter · all routes ↗minimax$0.30 in / $1.20 out/ 1M tokensMinimax · via OpenRouter · all routes ↗minimax/fp8 · quantization=fp8
Provider endpoints15 endpoints →2 endpoints →3 endpoints →
Context window1M1M204.8K
Max output512K900.2K131.1K
Parameters———
Tool callingSupportedNot reportedSupported
Structured outputSupportedNot reportedSupported
Image inputSupportedSupportedNot reported
Video inputSupportedNot reportedNot reported
ReasoningSupportedNot reportedSupported
Prompt cachingSupportedNot reportedSupported
Open weightsSupportedSupportedSupported

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