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  1. Home
  2. AI Models
  3. Multimodal
  4. ERNIE-ViL
open sourcemultimodal

ERNIE-ViL

Free Chinese-English multimodal AI by Baidu — best for Asian markets

Developed by Baidu Research

Try Model
Various sizes (base to 10B+)Params
YesAPI
stableStability
ERNIE 4.5 MultimodalVersion
Apache 2.0License
PaddlePaddle / PyTorchFramework
YesRuns Local

Playground

Implementation Example

Example Prompt

user input
[Image: Chinese restaurant menu] 描述图中菜品并提取价格 / Describe the dishes in this image and extract the prices.

Model Output

model response
图中菜品包括: 1. 麻婆豆腐 ¥28 (Mapo Tofu — silken tofu in spicy Sichuan sauce); 2. 鱼香肉丝 ¥36 (Yuxiang Pork — shredded pork in fish-fragrant sauce); 3. 宫保鸡丁 ¥38 (Kung Pao Chicken — chicken with peanuts and chili). Total prices range from ¥28 to ¥38.

Examples

Real-World Applications

  • Chinese e-commerce product tagging
  • visual content moderation
  • bilingual chatbots
  • education tools
  • autonomous vehicle scene understanding
  • image accessibility.

Docs

Model Intelligence & Architecture

What is ERNIE-ViL?

ERNIE-ViL (Enhanced Representation through Knowledge Integration — Vision-Language) is a vision-language pre-training model developed by Baidu Research. Originally released in 2020 with major upgrades in ERNIE-ViL 2.0 and the multimodal ERNIE 4.5 series in 2025, it integrates structured scene-graph knowledge into the joint vision-language representation.

The model is part of Baidu's open-source PaddlePaddle ecosystem and is released under Apache 2.0, free for commercial use.

Why ERNIE-ViL Is Trending in 2026

As Chinese AI ecosystems grow rapidly, ERNIE-ViL has become the top free open-source multimodal AI for Chinese-language vision tasks. It's especially strong on Chinese e-commerce product images, Chinese OCR, and Chinese-language visual reasoning.

The newer ERNIE 4.5 multimodal series (released 2025) extends these capabilities to frontier quality with native multimodal Chinese-English support.

Key Features and Capabilities

ERNIE-ViL supports image captioning, visual question answering, visual reasoning, image-text matching, scene graph generation, and Chinese-English multimodal understanding. The scene-graph integration gives it superior structural understanding compared to standard vision-language models.

Who Should Use ERNIE-ViL?

ERNIE-ViL is built for Chinese e-commerce platforms, multilingual content moderation, Chinese-language search engines, education tech, and APAC-focused multimodal apps.

Top Use Cases

Real-world applications include Chinese e-commerce product tagging and search, Chinese visual content moderation, bilingual image-based chatbots, education tools with visual aids, scene understanding for autonomous vehicles in China, and Chinese-language image accessibility.

Where Can You Run It?

ERNIE-ViL runs via Baidu PaddleNLP, PaddlePaddle, Hugging Face (community ports), and Baidu's Wenxin Workshop platform. The base model fits in 8 GB VRAM.

How to Use ERNIE-ViL (Quick Start)

Install: pip install paddlepaddle paddlenlp. Load via PaddleNLP. For ERNIE 4.5 multimodal, use Baidu's Wenxin Workshop API or the Hugging Face mirror.

When Should You Choose ERNIE-ViL?

Choose ERNIE-ViL when you need strong Chinese-language vision-language capabilities or scene-graph-aware visual reasoning. For English-focused tasks, LLaVA-NeXT, Qwen 2.5-VL, or Gemma 3 may be better picks.

Pricing

ERNIE-ViL is free under Apache 2.0. Baidu's hosted Wenxin API has tiered pricing.

Pros and Cons

Pros: ✔ Apache 2.0 license ✔ Best-in-class Chinese multimodal ✔ Scene-graph integration ✔ Strong bilingual support ✔ Active Baidu development ✔ ERNIE 4.5 frontier quality

Cons: ✘ PaddlePaddle ecosystem (smaller than PyTorch) ✘ Less English-focused than LLaVA ✘ Smaller community outside China ✘ Documentation often Chinese-first

Final Verdict

ERNIE-ViL is the top free multimodal AI for Chinese-language tasks in 2026. Discover more multilingual AI at FreeAPIHub.com.

Evaluation

Advantages & Limitations

Advantages
  • ✓ Apache 2.0 license
  • ✓ Best-in-class Chinese multimodal
  • ✓ Scene-graph integration
  • ✓ Strong bilingual support
  • ✓ Active Baidu development
  • ✓ ERNIE 4.5 frontier quality
Limitations
  • ✗ PaddlePaddle ecosystem smaller than PyTorch
  • ✗ Less English-focused
  • ✗ Smaller community outside China
  • ✗ Documentation often Chinese-first

Important Notice

Verify Before You Decide

Last verified · Apr 29, 2026

The details on this page — including pricing, features, and availability — are based on our last review and may not reflect the provider's current offering. Providers update their products frequently, sometimes without prior notice.

What may have changed

Pricing Plans
Features & Limits
Availability
Terms & Policies

Always visit the official provider website to confirm the latest pricing, terms, and feature availability before subscribing or integrating.

Check official site

External Resources

Try the Model Official Website Source Code Pricing Details

Technical Details

Architecture
Vision-Language Transformer with Scene-Graph Knowledge
Stability
stable
Framework
PaddlePaddle / PyTorch
License
Apache 2.0
Release Date
2020-06-30
Signup Required
No
API Available
Yes
Runs Locally
Yes

Rate Limits

No limits self-hosted

Pricing

Free under Apache 2.0; Baidu Wenxin API has tiered pricing

Best For

Chinese e-commerce, content moderation, and APAC-focused multimodal applications

Alternative To

CLIP, LLaVA, GPT-4V (for Chinese tasks)

Compare With

ernie-vil vs clipernie-vil vs llavaernie 4.5 vs gpt-4vbest chinese multimodal aifree vision language chinese

Tags

#Chinese AI#Ernie#Baidu#Vision Language#Open Source AI#Multimodal AI

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