LightweightAlibaba

Qwen 3 VL 30B

Qwen 3 VL 30B is Alibaba's lightweight vision-language model with text and image input capabilities and a 131K token context window.

Context 131K
Tier Lightweight
Modalities text, image
Input from
$0.130 / 1M tokens
across 1 provider

API Pricing

ProviderInput / 1MOutput / 1MSpeedTTFTUpdated
$0.130$0.520129 t/s1.1s4/14/2026

Prices updated daily. Last check: 4/14/2026

Model Details

General

Creator
Alibaba
Family
Qwen
Tier
Lightweight
Context Window
131K
Modalities
Text, Image

Capabilities

Tool Calling
No
Open Source
No

Strengths & Limitations

  • Supports both text and image input processing
  • 131,072 token context window for long document analysis
  • Fast output generation at 128.99 tokens per second
  • Lightweight architecture enables cost-effective deployment
  • Reasonable time to first token at 1,075 milliseconds
  • Part of established Qwen model family ecosystem
  • No tool calling or function execution capabilities
  • Proprietary model with no open source weights available
  • Limited to text and image modalities only
  • Positioned as lightweight tier rather than maximum capability
  • Smaller parameter count may limit complex reasoning tasks

Key Features

Text and image multimodal input
131,072 token context window
Vision-language understanding
Streaming response generation
Document and image analysis
Fast inference optimization
Lightweight model architecture

About Qwen 3 VL 30B

Qwen 3 VL 30B is a lightweight vision-language model developed by Alibaba as part of the Qwen family. Positioned as an efficient option in Alibaba's model lineup, it offers multimodal capabilities while maintaining faster inference speeds compared to larger models in the family. The model supports both text and image inputs with a 131,072 token context window, enabling processing of long documents alongside visual content. Performance benchmarks show an output speed of 128.99 tokens per second with a time to first token of 1,075 milliseconds. However, the model does not include tool calling capabilities, focusing instead on core vision-language understanding tasks. Qwen 3 VL 30B targets applications requiring efficient multimodal processing where speed and cost-effectiveness are priorities over maximum capability. It competes with other lightweight vision models by offering reasonable performance for common vision-language tasks while maintaining faster response times than flagship alternatives.

Common Use Cases

Qwen 3 VL 30B is suited for applications requiring efficient vision-language processing at scale, such as document analysis with embedded images, content moderation combining text and visual elements, and automated image captioning or description tasks. Its lightweight architecture and fast inference speed make it appropriate for high-volume scenarios where cost efficiency matters more than maximum capability, including customer service applications processing screenshots, educational content analysis, and basic visual question answering systems where rapid response times are prioritized.

Frequently Asked Questions

How much does Qwen 3 VL 30B cost per million tokens?

Qwen 3 VL 30B pricing varies by provider and may include separate rates for input text, input images, and output tokens. Check the pricing table above for current rates across all available providers.

What is Qwen 3 VL 30B best used for?

Qwen 3 VL 30B excels at efficient vision-language tasks like document analysis with images, content moderation, image captioning, and visual question answering where speed and cost-effectiveness are important. Its 131K context window supports long documents with visual elements.

Does Qwen 3 VL 30B support function calling or tool use?

No, Qwen 3 VL 30B does not include tool calling capabilities. It focuses on core vision-language understanding tasks with text and image inputs, making it suitable for applications that need multimodal processing without external tool integration.