Qwen
Qwen: Qwen3 VL 8B Instruct
qwen/qwen3-vl-8b-instruct
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Interleaved-MRoPE for long-horizon temporal reasoning, DeepStack for fine-grained visual-text alignment, and text-timestamp alignment for precise event localization. The model supports a native 256K-token context window, extensible to 1M tokens, and handles both static and dynamic media inputs for tasks like document parsing, visual question answering, spatial reasoning, and GUI control. It achieves text understanding comparable to leading LLMs while expanding OCR coverage to 32 languages and enhancing robustness under varied visual conditions.
/ 1M tokens
/ 1M tokens
tokens
Limits
Context
262,144
tokens
Max output
235,929
90% of the context window
Parameters
8,767,123,696
Model facts
Author
Qwen
Tokenizer
Qwen3
Modality
Text + Image -> Text
License
Apache-2.0
Created
Oct 14, 2025
Hugging Face
Qwen/Qwen3-VL-8B-Instruct
Default generation parameters
temperature
0.7
top_p
0.8
Publication status
Modalities
Generation controls
Capability scores
Better than 11% of models compared