Qwen/Qwen3-VL-Plus
Vision-language model that understands images and text together.
Alibaba (Cloud) Vision Up to 256K Tokens
api_example.sh
Technical Specifications
Model Architecture & Performance
Variant VL
Context Length Up to 256K Tokens
Quantization fp16
Tokens/sec 386
Architecture Transformer decoder-only (Qwen3-VL with ViT visual encoder)
Precision fp16 / bf16
License Apache 2.0
Release Date 2025
Developers Alibaba Cloud (QwenLM)
Pricing
Pay-per-use, no commitments
Input Tokens $0.20/1M Tokens
Output Tokens $1.60/1M Tokens
API Reference
Complete parameter documentation
| Parameter | Type | Default | Description |
|---|---|---|---|
| stream | boolean | true | Enable streaming responses for real-time output. |
| temperature | number | 0.1 | Lower temperature for more deterministic output. |
| max_tokens | number | 16384 | Maximum number of tokens the model can generate. |
| top_p | number | 1 | Controls nucleus sampling for more predictable output. |
| reasoning_effort | select | medium | Adjusts the depth of reasoning and problem-solving effort. Higher settings yield more thorough responses at the cost of latency. |
Performance
Strengths & considerations
| Strengths | Considerations |
|---|---|
| Strong multimodal understanding | Higher compute usage |
Use cases
Recommended applications for this model
Image analysis for objects, scenes, and attributes with natural language descriptions
OCR-style extraction of text from documents, screenshots, and real-world photos
Visual question answering over charts, UIs, and complex diagrams
Enterprise
Platform Integration
Docker Support
Official Docker images for containerized deployments
Kubernetes Ready
Production-grade KBS manifests and Helm charts
SDK Libraries
Official SDKs for Python, Javascript, Go, and Java
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