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.
Context Window
131K
Input Price
$0.0800/M tokens
Output Price
$0.5000/M tokens
Modality
text+image->text
Cost Example: Processing 10,000 input tokens and generating 1,000 output tokens would cost approximately $0.001300
~98K
Words Equivalent
~66
Pages of Text
~1311
Code Functions
Related Categories:
Qwen: Qwen3 VL 32B Instruct
$0.5000/M tokens · 262K context
Qwen: Qwen3 VL 8B Thinking
$0.1800/M tokens · 256K context
Qwen: Qwen3 VL 30B A3B Thinking
$0.2000/M tokens · 131K context
Qwen: Qwen3 VL 30B A3B Instruct
$0.1500/M tokens · 262K context
Qwen: Qwen3 VL 235B A22B Thinking
$0.9800/M tokens · 131K context
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