Qwen: Qwen3 VL 8B Instruct

qwen/qwen3-vl-8b-instruct

Description

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.

How this model compares

Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.

Price (per 1M tokens)

Min
Max
This model
336 models in this groupPrice (per 1M tokens)
Min
$0.04
Avg
$12.381012
Max
$750.00
This model: $0.50 / 1M tokens

Context length (tokens)

Min
Max
This model
336 models in this groupContext length (tokens)
Min
4,095 tokens
Avg
382,115.467 tokens
Max
10,000,000 tokens
This model: 256,000 tokens

Capabilities

Text + Image → TextContext: 131,072 tokens
Input:
ImageText
Output:
Text
    Qwen: Qwen3 VL 8B Instruct