Model comparison
MiniMax M1 vs GPT-5
Capability radar, value bars, and side-by-side posture.
MiniMax M1
Not scored
value score
GPT-5
94
value score
MiniMax M1 ctx
—
GPT-5 ctx
400K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- GPT-594
Attribute tape
| Field | MiniMax M1 | 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 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. | OpenAI frontier multimodal model. |