In short
How they differ.
Worked out from the figures below. Prices and specs are the makers' own, read Oct 20, 2026.
- Muse Wonder reads more at once: a context window of 1M tokens against 262K.
- Qwen3.8-27B can be downloaded and run on your own machine; Muse Wonder can't.
- No independent board we follow ranks both models yet.
Side by side
The specs.
| Muse Wonder | Qwen3.8-27B | |
|---|---|---|
| Made by | Meta · US | Alibaba (Qwen) · China |
| Released | Oct 12, 2026 | Aug 5, 2026 |
| Price per 1M tokens | $4 in / $20 out | Free to download; hosts set prices |
| Context window | 1M | 262K |
| Takes in | text, image, video, audio, pdf | text, image, video |
| Download and run it yourself | No | Yes (Apache 2.0) |
| Size | Not published | 27B (dense) parameters |
| Maker says | “Frontier coding, long-running agents, and advanced computer use.” | “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 | Muse Wonder | Qwen3.8-27B |
|---|---|---|
| LMArena textLMArena, Oct 15, 2026 | #2 | Not listed |
| LMArena creative writingLMArena, Oct 15, 2026 | #8 | Not listed |
| LMArena coding chatsLMArena, Oct 15, 2026 | #5 | Not listed |
| LMArena WebDevLMArena, Oct 19, 2026 | #17 | Not listed |
| LMArena Agent ArenaLMArena, Oct 19, 2026 | #13 | Not listed |
| Humanity's Last ExamScale AI | #7 | Not listed |
| SWE-Bench ProScale AI, Sep 22, 2026 | #6 | Not listed |
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