MiniMax: MiniMax-01
MiniMax-01 stands out for its extraordinary 1M token context window and multimodal vision support, but the complete absence of benchmark data means its reasoning and task performance cannot be verified. It may be worth exploring for very long-document workflows, but cannot be recommended without supporting evidence.
Assessment date: March 14, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
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 context of up to 4 million tokens. The text model adopts a hybrid architecture that combines Lightning Attention, Softmax Attention, and Mixture-of-Experts (MoE). The image model adopts the “ViT-MLP-LLM” framework and is trained on top of the text model. To read more about the release, see: https://www.minimaxi.com/en/news/minimax-01-series-2
Capabilities
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Other |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $1.10 | $0.001100 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
