Model comparison
MiniMax-M2.5 vs GPT-5
Capability radar, value bars, and side-by-side posture.
MiniMax-M2.5
Not scored
value score
GPT-5
94
value score
MiniMax-M2.5 ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | MiniMax-M2.5 | GPT-5 |
|---|---|---|
| Developer | MiniMaxAI | OpenAI |
| Context | — | 400K |
| Modalities | Text, Code, Image, Audio | |
| Openness | — | Proprietary Model |
| Speed | — | Fast |
| Price | — | Mid-High |
| Value score | — | 94 |
| Summary | MiniMax-M2.5 is MiniMaxAI's open-weight, agent-native large language model built for coding, tool use, search, and office/workflow automation. It uses a Mixture-of-Experts architecture with 229B total parameters and 10B active per token, targeting high capability at lower inference cost. | OpenAI frontier multimodal model. |