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Available now on ModelsLab · Language Model

Baidu: ERNIE 4.5 VL 424B A47BVision-Language MoE Power

Try Baidu: ERNIE 4.5 VL 424B A47BAPI Documentation

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
API Documentation 
import requests


response = requests.post(
    "https://modelslab.com/api/v7/llm/chat/completions",
    json={
  "key": "YOUR_API_KEY",
  "prompt": "",
  "model_id": ""
}
)
print(response.json())

FAQ

Common questions about Baidu: ERNIE 4.5 VL 424B A47B

Read the docs

Baidu: ERNIE 4.5 VL 424B A47B is a multimodal MoE LLM with 424B total parameters and 47B active per token. It processes text and images for visual reasoning and document analysis. Released June 2025.

Access via LLM endpoint with image and text inputs. Supports parameters like temperature, top_p, and reasoning mode. Deploy with PaddlePaddle or quantization options.

Up to 131K tokens for long documents and conversations. Handles extended visual analysis tasks efficiently.

Yes, Baidu: ERNIE 4.5 VL 424B A47B alternative matches o1-level reasoning on MathVista and MMMU benchmarks. Offers MoE efficiency for multimodal workloads.

Supports 8-bit, 4-bit, and 2-bit quantization with minimal accuracy loss. Full precision available for high-stakes use.

Excels in visual question answering, chart interpretation, and multimodal generation. Uses grouped-query attention and RoPE embeddings.

Ready to create?

Start generating with Baidu: ERNIE 4.5 VL 424B A47B on ModelsLab.

Try Baidu: ERNIE 4.5 VL 424B A47BAPI Documentation