Model comparison
MiniMax M1 vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
MiniMax M1
Not scored
value score
Gemini 2.5 Pro
93
value score
MiniMax M1 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 M1 | Gemini 2.5 Pro |
|---|---|---|
| Developer | minimax | 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 M1 is an open-weight hybrid Mixture-of-Experts reasoning LLM with 456B total parameters, 45.9B active per token, and a 1 million token context window, released by MiniMax under Apache 2.0. It targets long-context understanding, software engineering, mathematics, and agent-style tool-use workflows. | Google frontier multimodal model. |