Model comparison
MiniMax M2.7 vs o3
Capability radar, value bars, and side-by-side posture.
MiniMax M2.7
Not scored
value score
o3
93
value score
MiniMax M2.7 ctx
—
o3 ctx
200K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- o393
Attribute tape
| Field | MiniMax M2.7 | o3 |
|---|---|---|
| Developer | minimax | OpenAI |
| Context | — | 200K |
| Modalities | Text, Code | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $10/1M in · $40/1M out |
| Value score | — | 93 |
| Summary | MiniMax M2.7 is a sparse Mixture-of-Experts (MoE) reasoning language model developed by MiniMax, designed for agentic coding, tool use, and multi-step workflow automation. It is positioned for software engineering, document generation, and productivity tasks, with a training process that incorporated self-improvement techniques where the model helped optimize parts of its own development pipeline. | OpenAI reasoning model focused on hard problems. |