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 $2.09 per million tokens, so Mistral Large 4 costs 4.2 times as much.
- GPT-6 Luna reads more at once: a context window of 1M tokens against 1M.
- No independent board we follow ranks both models yet.
Side by side
The specs.
| GPT-6 Luna | Mistral Large 4 | |
|---|---|---|
| Made by | OpenAI · US | Mistral AI · France |
| Released | Sep 22, 2026 | Oct 6, 2026 |
| Price per 1M tokens | $0.10 in / $0.50 out | $0.68 in / $2.09 out (sale price) |
| Context window | 1M | 1M |
| Takes in | text, image | text, image |
| Download and run it yourself | No | No |
| Size | Not published | 1.05T parameters, 52B active |
| Maker says | “Our most efficient model for focused, high-volume tasks.” | “Mistral Large 4 is a state-of-the-art, open-weight, general-purpose multimodal model with a granular Mixture-of-Experts” |
| 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