DeepSeek vs MiniMax
A side-by-side comparison of DeepSeek and MiniMax, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
MiniMax
InferenceMultimodal foundation models and developer API for text, code, video, speech, and music.
View MiniMaxAt a glance
| Attribute | DeepSeek | MiniMax |
|---|---|---|
| Category (differs) | Assistant | Inference |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | Web, iOS, Android | Web, API |
| Model support (differs) | Single model (proprietary) | Self-contained (on-device) |
| Vendor (differs) | DeepSeek | MiniMax |
The honest brief
DeepSeek
Open-weight R1 reset the price-for-reasoning curve, and the consumer app stays free with strong reasoning.
- Reasoning mode (R1)
- Self-hostable open weights
- Web search built in
- Mobile and web apps
- China-hosted data concerns
- Content restrictions on sensitive topics
- Smaller app polish than rivals
MiniMax
Frontier-class coding and agent models (M-series, 1M-token context) at a fraction of US-lab API prices, with open weights to self-host.
- Coding- and agent-tuned M-series models
- Open-weight models on Hugging Face
- Multimodal: text, video, speech, music
- Free agent tier to get started
- China-based; data-residency considerations
- Free agent tier is credit-limited
- Docs less mature than US incumbents