Model comparison
MiniMax M2 vs GPT-5
Capability radar, value bars, and side-by-side posture.
MiniMax M2
Not scored
value score
GPT-5
94
value score
MiniMax M2 ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | MiniMax M2 | GPT-5 |
|---|---|---|
| Developer | minimax | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | MiniMax M2 is an open-weight sparse Mixture-of-Experts language model with approximately 230B total parameters and ~10B active parameters per token, designed specifically for coding and agentic workflows including tool use, planning, and multi-step software tasks. MiniMax describes it as 'a Mini model built for Max coding & agentic workflows.' | OpenAI frontier multimodal model. |