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Qwen3.5-Flash

Qwen

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...

quality50

Updated 49 min ago · first seen 11 Sept 2026

model_01M294WW4CB02KF2SBHTNG7CMX

Context
1M tokens
T2 · 49 min ago
Released
25 Feb 2026
T2 · 49 min ago

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Claim history · Description

1 claims · 1 propertiesShow all properties

Descriptiondescription1

Claim history for Description
ValueValid from → toStatusSourceConfidenceExtractor
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...currentcurrentOpenRouter public model & pricing listingT2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →