Q

Qwen: Qwen3 VL 8B Instruct

Qwen
Vision
131K
Context
$0.0600
Input /1M
$0.4000
Output /1M
N/A
Max Output
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Qwen: Qwen3 VL 8B Instruct

Model ID: qwen/qwen3-vl-8b-instruct Provider: Qwen (via NovitaAI) Category: Vision-Language, Multimodal Release Date: October 14, 2025 Parameters: 8 billion

Overview

Qwen3 VL 8B Instruct is a compact vision-language model designed for understanding text, images, and video. It employs Interleaved-MRoPE for long-horizon temporal reasoning and DeepStack for fine-grained visual-text alignment. The model handles document parsing, visual question answering, spatial reasoning, and GUI control tasks across a native 256K-token context window (extensible to 1M tokens). It extends OCR capabilities to 32 languages.

Technical Specifications

Property Value
Parameters 8 billion
Context Length 131,072 tokens (native)
Max Context 1,048,576 tokens (extensible)
Input Modalities Image, Text, Video
Output Modalities Text
Max Completion Tokens 32,768
Architecture Vision-Language Transformer

Pricing

Via NovitaAI Provider:

Type Price
Input $0.06 per 1M tokens
Output $0.40 per 1M tokens

Quantization: FP8

Capabilities

Vision & Language Understanding

  • Video Understanding: Long-horizon temporal reasoning
  • Image Analysis: Fine-grained visual-text alignment
  • Document Parsing: PDF and document analysis
  • Visual Question Answering: VQA tasks
  • Spatial Reasoning: Understanding spatial relationships
  • GUI Control: Screen understanding and interaction
  • OCR: Optical character recognition in 32 languages
  • Multilingual Support: 32+ languages

Input Modalities

  • Text
  • Images
  • Video

Output Modalities

  • Text only

Key Features

  • Interleaved-MRoPE technology for temporal reasoning
  • DeepStack for visual-text alignment
  • Native 256K-token context (extensible to 1M)
  • 32-language OCR support
  • Structured outputs support
  • Tool calling capabilities

Supported Parameters

  • temperature - Sampling temperature control
  • top_p - Nucleus sampling parameter
  • stop - Stop sequences for output termination
  • frequency_penalty - Reduce repetitive tokens
  • presence_penalty - Encourage diverse content
  • seed - Random seed for reproducibility
  • top_k - Top-K sampling parameter
  • repetition_penalty - Control repetition
  • structured_outputs - Enable structured outputs
  • response_format - Control output format
  • tool_choice - Tool selection strategy
  • tools - Available tools/functions

Use Cases

  • Document Analysis: PDF, scanned document understanding
  • Visual Question Answering: Answering questions about images/video
  • Video Analysis: Understanding temporal sequences and motion
  • GUI Automation: Screen understanding for automation
  • Scientific Visualization: Chart, graph, and diagram analysis
  • Multilingual OCR: Text extraction in 32+ languages
  • Accessibility: Describing visual content
  • Content Moderation: Visual content analysis

Limitations

  • Output: Text-only output (no image generation)
  • Size: 8B may have limitations on very complex tasks compared to larger models
  • Speed: May be slower than text-only models for pure text tasks
  • Qwen3 VL 32B Instruct - Larger variant with more capabilities
  • Qwen3 VL 8B Thinking - Vision-language with reasoning
  • Google: Gemini 3 Flash Preview - Alternative multimodal model
  • Claude 3.5 Sonnet - Anthropic's vision alternative

Performance Metrics

Usage Statistics (December 23, 2025)

  • Requests: 208,841 requests processed
  • Prompt Tokens: 903M+ tokens processed
  • Adoption: Strong adoption across vision-language tasks
  • Daily Volume: Significant daily usage

Provider Information

Primary Provider: NovitaAI

  • Adapter: NovitaAdapter
  • Status: Active (not disabled or hidden)
  • Quantization: FP8
  • Max Completion Tokens: 32,768

Advantages

  • Compact Size: 8B parameters suitable for edge deployment
  • Multimodal: Handles images, video, and text
  • Extensible Context: Up to 1M tokens for large document analysis
  • Multilingual: OCR and understanding in 32+ languages
  • Cost-Effective: Affordable pricing for vision tasks
  • Performance: Strong visual understanding capabilities

Data & Privacy

  • Training Use: Not used for model training
  • Prompt Retention: Prompts not retained
  • Publishing: Cannot publish outputs without permission

Additional Notes

  • Excellent choice for production vision-language applications
  • Suitable for mobile and edge deployment due to 8B size
  • OCR capabilities in 32 languages make it ideal for international applications
  • Temporal reasoning capabilities make it unique for video analysis
  • Extensible context window (up to 1M) excellent for document analysis
  • Lower cost compared to larger vision-language models