Baidu: ERNIE 4.5 VL 424B A47B
Vision-Language MoE Power
Process Multimodal Data Efficiently
MoE Architecture
424B Total 47B Active
Activates 47B of 424B parameters per token for efficient vision-language processing.
Long Context
131K Token Window
Handles extended documents and conversations with 131K token context length.
Dual Modes
Thinking Non-Thinking
Switches between rapid perception and deep reasoning for complex visual tasks.
Examples
See what Baidu: ERNIE 4.5 VL 424B A47B can create
Copy any prompt below and try it yourself in the playground.
Chart Analysis
“Analyze this sales chart image. Extract key trends, quarterly growth rates, and predict next quarter based on patterns. Provide data in table format.”
Document QA
“From this scanned contract image, answer: What is the termination clause? Quote exact text and summarize risks.”
Visual Reasoning
“Examine this architectural blueprint image. Identify structural flaws, suggest fixes, and calculate material estimates.”
Diagram Explanation
“Describe this network diagram image. List components, connections, and recommend security improvements.”
For Developers
A few lines of code.
Multimodal inference. Few lines.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Baidu: ERNIE 4.5 VL 424B A47B on ModelsLab.