/ Model comparison / GPT-6 Luna vs MiniMax M3

GPT-6 Luna vs MiniMax M3

OpenAI vs MiniMax · prices and specs, line by line

GPT-6 Luna (OpenAI) vs MiniMax M3 (MiniMax), side by side: input/output/cache-hit prices, time-based pricing, context window, modalities and a fixed-assumption monthly cost. Green marks the better row.

DimensionGPT-6 LunaMiniMax M3
Vendor / channel OpenAI MiniMax
Context window 1050K 1024K
Modalities Text, Image understanding Text, Image understanding, Video understanding
Features Low cost at scale, Efficient, lightweight Latest flagship, Dual mode
Input (cache miss) Input ≤272K $0.1 Input >272K (long context) not published Input ≤512K ¥2.1 Input >512K ¥4.2
Output Input ≤272K $0.5 Input >272K (long context) not published Input ≤512K ¥8.4 Input >512K ¥16.8
Cache hit Input ≤272K $0.01 Input >272K (long context) not published Not published
Time-based pricing
Est. monthly cost* $1.64
≈ ¥11.00
¥32.76
¥32.76
Price source OpenAI API pricing Alibaba Cloud Model Studio billing
Verified 2026-10-28 2026-10-28

* Fixed assumptions for the example monthly cost: 100 calls/day · 2,000 input / 800 output tokens per call · off-peak rates · 30% cache hit rate · 30-day month — the same formula and defaults as the cost calculator. USD models are converted to CNY at the reference rate for comparison (see summary). Costs within display precision are marked tied; neither side is favored.

Comparison summary (fixed usage basis)

These are computations from published list prices under fixed call volume, token usage, cache assumptions and billing rules. They are not rankings of capability, output quality or overall value, and do not constitute purchase advice.

Calculate with your own usage → GPT-6 Luna profile MiniMax M3 profile