In short
How they differ.
Worked out from the figures below. Prices and specs are the makers' own, read Oct 20, 2026.
- DeepSeek-V4.1-Flash-1017 reads more at once: a context window of 1M tokens against 262K.
- Both can be downloaded and run on your own machine.
- No independent board we follow ranks both models yet.
Side by side
The specs.
| DeepSeek-V4.1-Flash-1017 | Qwen3.8-27B | |
|---|---|---|
| Made by | DeepSeek · China | Alibaba (Qwen) · China |
| Released | Oct 17, 2026 | Aug 5, 2026 |
| Price per 1M tokens | $0.30 in / $1.20 out (peak-hours price) | Free to download; hosts set prices |
| Context window | 1M | 262K |
| Takes in | text, image | text, image, video |
| Download and run it yourself | Yes (MIT) | Yes (Apache 2.0) |
| Size | 552B backbone parameters parameters, 8B per token during prefill, 16B during decode active | 27B (dense) parameters |
| Maker says | “Stronger benchmark performance, faster task completion, and shorter outputs than the previous version.” | “a native vision-language model that understands images and videos, with flexible thinking control” |
| 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