DeepSeek V4 Pro 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 V4 Pro comes from DeepSeek and MiniMax M2 from MiniMax. 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 | DeepSeek V4 Pro | MiniMax M2 |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Model ID | deepseek-v4-pro | MiniMax-M2 |
| Context window | 1M | 197K |
| Max output | 384K | 10K |
| Input price | $1.32 / 1M tokens | $0.30 / 1M tokens |
| Output price | $3.96 / 1M tokens | $1.20 / 1M tokens |
| Knowledge cutoff | — | — |
| Input types | text | text, image, file |
| Output types | text | text |
| Plan | All paid plans | All paid plans |
Which should you use?
Pick DeepSeek V4 Pro when…
- You need the larger context window — 1M against 197K.
- You want longer single responses — up to 384K output tokens.
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.
Related comparisons
Try both on Clade
You do not have to choose. One Clade subscription gives you DeepSeek V4 Pro, MiniMax M2, and every other model on the platform.