MiniMax M3 vs M2.7 vs M2.5 (2026 Comparison)

Published 2026-07-20 · NovAI Team

The MiniMax M-series has three current tiers. Here's how M3, M2.7, and M2.5 differ and which to choose.

Side-by-side pricing (per 1M tokens)

ModelInputOutputTier
minimax-m2.5$0.282$1.128Value
minimax-m2.7$0.3$1.198Balanced
minimax-m3$0.352$1.41Flagship

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.

Which to choose

Quickstart

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)

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Frequently Asked Questions

What's the difference between MiniMax M3, M2.7, and M2.5?

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.

Is MiniMax M3 worth the extra cost over M2.7?

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.

How do I access the MiniMax M-series?

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.

Related guides: MiniMax M3 Guide · MiniMax API Guide · MiniMax 1M Context