Model comparison
MiniMax-M2.5 vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
MiniMax-M2.5
Not scored
value score
Gemini 2.5 Pro
93
value score
MiniMax-M2.5 ctx
—
Gemini 2.5 Pro ctx
1.0M
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Gemini 2.5 Pro93
Attribute tape
| Field | MiniMax-M2.5 | Gemini 2.5 Pro |
|---|---|---|
| Developer | MiniMaxAI | Google DeepMind |
| Context | — | 1.0M |
| Modalities | Text, Code, Image, Audio, Video | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $1.25/1M in · $10/1M out |
| Value score | — | 93 |
| 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. | Google frontier multimodal model. |