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 DeepSeek-V4.1-Flash-1017 costs 2.4 times as much.
- GPT-6 Luna reads more at once: a context window of 1M tokens against 1M.
- DeepSeek-V4.1-Flash-1017 can be downloaded and run on your own machine; GPT-6 Luna can't.
- On the 1 independent board that rank both, DeepSeek-V4.1-Flash-1017 places higher on 1 and GPT-6 Luna on 0.
Side by side
The specs.
| DeepSeek-V4.1-Flash-1017 | GPT-6 Luna | |
|---|---|---|
| Made by | DeepSeek · China | OpenAI · US |
| Released | Oct 17, 2026 | Sep 22, 2026 |
| Price per 1M tokens | $0.30 in / $1.20 out (peak-hours price) | $0.10 in / $0.50 out |
| Context window | 1M | 1M |
| Takes in | text, image | text, image |
| Download and run it yourself | Yes (MIT) | No |
| Size | 552B backbone parameters parameters, 8B per token during prefill, 16B during decode active | Not published |
| Maker says | “Stronger benchmark performance, faster task completion, and shorter outputs than the previous version.” | “Our most efficient model for focused, high-volume tasks.” |
| 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