Models Model details

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.

Input
$0.25

/ 1M tokens

Output
$0.75

/ 1M tokens

Context window
262.14K

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

Hugging Face: verifiedLicense: publishedParameter count: published

Modalities

Input · ImageInput · TextOutput · Text

Generation controls

Frequency penaltyLogit biasLogprobsMax tokensPresence penaltyRepetition penaltyResponse formatSeedStopStructured outputsTemperatureTool choiceToolsTop kTop logprobsTop p

Capability scores

7.3
Intelligence index

Better than 11% of models compared