In short
How they differ.
Worked out from the figures below. Prices and specs are the makers' own, read Oct 20, 2026.
- GPT-6 Luna is cheaper per output token: $0.50 against $1.20 per million tokens, so MiniMax-M3 costs 2.4 times as much.
- GPT-6 Luna reads more at once: a context window of 1M tokens against 1M.
- MiniMax-M3 can be downloaded and run on your own machine; GPT-6 Luna can't.
- No independent board we follow ranks both models yet.
Side by side
The specs.
| GPT-6 Luna | MiniMax-M3 | |
|---|---|---|
| Made by | OpenAI · US | MiniMax · China |
| Released | Sep 22, 2026 | Not stated |
| Price per 1M tokens | $0.10 in / $0.50 out | $0.30 in / $1.20 out |
| Context window | 1M | 1M |
| Takes in | text, image | text |
| Download and run it yourself | No | Yes (minimax-community (license tag shown on Hugging Face)) |
| Size | Not published | ~428B parameters, ~23B active |
| Maker says | “Our most efficient model for focused, high-volume tasks.” | “MiniMax-M3 is a native multimodal model with 1M context.” |
| Sources | Prices, Oct 20, 2026 · Description | Prices, Oct 20, 2026 · Description |
Independent tests
Where they place.
Position on each board we follow (1 is best). Epoch AI's and Vectara's scores are shown; the other boards are linked for their own figures.
More comparisons