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| 3 models | MiniMaxAIMiniMax-M3Remove × | minimaxMiniMax: MiniMax-01Remove × | minimaxMiniMax: MiniMax M2Remove × |
|---|---|---|---|
| What’s different | MiniMax-M3 is a native multimodal model with 1M context. It has ~428B parameters and ~23B activated parameters. | 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… | MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier… |
| Date | Jun 2, 2026Listed | Jan 15, 2025Listed | Oct 23, 2025Listed |
API prices USD · provider configuration shown below | |||
| Listed rate | $0.28 in / $1.10 out/ 1M tokensdeepinfra · via Hugging Face · all routes ↗ | $0.20 in / $1.10 out/ 1M tokensMinimax · via OpenRouter · all routes ↗minimax | $0.255 in / $1.02 out/ 1M tokensMinimax · via OpenRouter · all routes ↗minimax/fp8 · quantization=fp8 |
| Provider endpoints | 7 endpoints → | 2 endpoints → | 3 endpoints → |
Specifications | |||
| Context window | 1M | 1M | 204.8K |
| Max output | — | 900.2K | 131.1K |
| Parameters | — | — | — |
| Tool calling | Supported | Not reported | Supported |
| Structured output | Supported | Not reported | Supported |
| Image input | Supported | Supported | Not reported |
| Reasoning | Not reported | Not reported | Supported |
| Open weights | Supported | Supported | Supported |