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DeepSeek-V3.2 vs MiniMax M2

Side-by-side specs, pricing and capabilities. Both models run on Clade under one subscription, so you can switch between them in the same conversation.

DeepSeek-V3.2 comes from DeepSeek and MiniMax M2 from MiniMax. The practical difference for most people is context, price, and which input types each one accepts.

MiniMax M2 holds more in a single conversation — 197K tokens against 128K — which matters for long documents and large codebases.

DeepSeek-V3.2 is the cheaper of the two on input tokens at $0.03 / 1M tokens.

SpecificationDeepSeek-V3.2MiniMax M2
ProviderDeepSeekMiniMax
Model IDdeepseek-chatMiniMax-M2
Context window128K197K
Max output8K10K
Input price$0.03 / 1M tokens$0.30 / 1M tokens
Output price$0.42 / 1M tokens$1.00 / 1M tokens
Knowledge cutoff——
Input typestexttext, image, file
Output typestexttext
PlanFreeFree

Which should you use?

Pick DeepSeek-V3.2 when…

  • Cost matters: input runs at $0.03 / 1M tokens versus $0.30 / 1M tokens.
DeepSeek-V3.2 details

Pick MiniMax M2 when…

  • You need the larger context window — 197K against 128K.
  • You want longer single responses — up to 10K output tokens.
  • You need image and file input, which the other model does not accept.
MiniMax M2 details

Related comparisons

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Try both on Clade

You do not have to choose. One Clade subscription gives you DeepSeek-V3.2, MiniMax M2, and every other model on the platform.