In short
How they differ.
Worked out from the figures below. Prices and specs are the makers' own, read Oct 20, 2026.
- Qwen3.8-27B reads more at once: a context window of 262K tokens against 128K.
- Both can be downloaded and run on your own machine.
- No independent board we follow ranks both models yet.
Side by side
The specs.
| gpt-oss-120b | Qwen3.8-27B | |
|---|---|---|
| Made by | OpenAI · US | Alibaba (Qwen) · China |
| Released | Aug 5, 2025 | Aug 5, 2026 |
| Price per 1M tokens | Free to download; hosts set prices | Free to download; hosts set prices |
| Context window | 128K | 262K |
| Takes in | text | text, image, video |
| Download and run it yourself | Yes (Apache 2.0) | Yes (Apache 2.0) |
| Size | 117B parameters, 5.1B active | 27B (dense) parameters |
| Maker says | “production, general purpose, high reasoning use cases” | “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.
| Board | gpt-oss-120b | Qwen3.8-27B |
|---|---|---|
| Vectara hallucination testVectara, Oct 16, 2026 | #9214.2% | Not listed |
More comparisons