MiniMax-M2.5-highspeed vs MiniMax-M2.7
| MiniMax-M2.5-highspeed | MiniMax-M2.7 | |
|---|---|---|
| Providers | MiniMax | MiniMax |
| Input $/M | $0.65 | $0.32 |
| Output $/M | $2.58 | $1.29 |
| Output multiplier | ×4.00 | ×4.00 |
| Context window | 204.8K tokens | 204.8K tokens |
| Intelligence index | 22.8 | 22.8 |
| Coding index | — | 52.6 |
What the numbers mean
MiniMax-M2.7 is roughly 2.0× cheaper on input than MiniMax-M2.5-highspeed. If your workload passes the quality bar on the cheaper model, that gap compounds across every request; route to MiniMax-M2.5-highspeed deliberately rather than by default.
Measured intelligence index differs by only 0.0 points, which in practice means the two models are interchangeable on most tasks — pick on price and latency.
Tags: MiniMax-M2.5-highspeed — Chat, Reasoning, Coding · MiniMax-M2.7 — Chat, Reasoning, Coding
Code
from openai import OpenAI
client = OpenAI(base_url="https://starseaapi.com/v1", api_key="sk-...")
# MiniMax-M2.5-highspeed
client.chat.completions.create(model="MiniMax-M2.5-highspeed", messages=[{"role":"user","content":"Hi"}])
# MiniMax-M2.7
client.chat.completions.create(model="MiniMax-M2.7", messages=[{"role": "user", "content": "Hi"}])