What this page answers
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 intelligence across
- MiniMax · minimax/minimax-m2
- text->text · China model route
- 196,608 context · $0.255 input
Before connecting
Do not stop at the model name. Before integration, verify base URL, protocol, visible models, parameters, and limits together.
- supports frequency_penalty
- supports include_reasoning
- supports logit_bias
- supports max_tokens
- supports min_p
Next action
The goal is to catch search demand, then move users into model profiles, provider profiles, and key checking.
- Check whether the model fits the use case
- Then verify key permission and callable models
