MiniMax M2 vs DeepSeek V4 Pro
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.
MiniMax M2 comes from MiniMax and DeepSeek V4 Pro from DeepSeek. The practical difference for most people is context, price, and which input types each one accepts.
DeepSeek V4 Pro holds more in a single conversation — 1M tokens against 197K — which matters for long documents and large codebases.
MiniMax M2 is the cheaper of the two on input tokens at $0.30 / 1M tokens.
| Specification | MiniMax M2 | DeepSeek V4 Pro |
|---|---|---|
| Provider | MiniMax | DeepSeek |
| Model ID | MiniMax-M2 | deepseek-v4-pro |
| Context window | 197K | 1M |
| Max output | 10K | 384K |
| Input price | $0.30 / 1M tokens | $1.32 / 1M tokens |
| Output price | $1.20 / 1M tokens | $3.96 / 1M tokens |
| Knowledge cutoff | — | — |
| Input types | text, image, file | text |
| Output types | text | text |
| Plan | All paid plans | All paid plans |
Which should you use?
Pick MiniMax M2 when…
- Cost matters: input runs at $0.30 / 1M tokens versus $1.32 / 1M tokens.
- You need image and file input, which the other model does not accept.
Pick DeepSeek V4 Pro when…
- You need the larger context window — 1M against 197K.
- You want longer single responses — up to 384K output tokens.
Related comparisons
Try both on Clade
You do not have to choose. One Clade subscription gives you MiniMax M2, DeepSeek V4 Pro, and every other model on the platform.