The MiniMax M-series has three current tiers. Here's how M3, M2.7, and M2.5 differ and which to choose.
| Model | Input | Output | Tier |
|---|---|---|---|
| minimax-m2.5 | $0.282 | $1.128 | Value |
| minimax-m2.7 | $0.3 | $1.198 | Balanced |
| minimax-m3 | $0.352 | $1.41 | Flagship |
The price gap between tiers is small — under $0.07/1M input from M2.5 to M3 — so most teams should default to M3 unless running very high volume.
from openai import OpenAI
client = OpenAI(
api_key="nvai-your-key",
base_url="https://aiapi-pro.com/v1"
)
resp = client.chat.completions.create(
model="minimax-m3",
messages=[{"role": "user", "content": "Hello!"}]
)
print(resp.choices[0].message.content)
Try all three MiniMax models on one account and pick the best fit.
M3 ($0.352/$1.41) is the flagship, M2.7 ($0.3/$1.198) is balanced, and M2.5 ($0.282/$1.128) is the value tier. Quality increases with tier; the price difference is small.
For most use cases yes — the price gap is under $0.06/1M input, and M3 offers the best quality. Use M2.5 or M2.7 mainly for very high-volume, cost-sensitive workloads.
Register at NovAI and call minimax-m3, minimax-m2.7, or minimax-m2.5 on the OpenAI-compatible endpoint at https://aiapi-pro.com/v1.