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What is ERNIE X1.1?

ERNIE X1.1 represents a significant advancement in Baidu’s line of reasoning models, offering major gains in accuracy and reliability. It improves factual accuracy by 34.8%, instruction following by 12.5%, and agentic capabilities by 9.6% compared to ERNIE X1. These enhancements place it above DeepSeek R1-0528 in benchmark evaluations and on par with leading frontier models such as GPT-5 and Gemini 2.5 Pro. The model leverages the foundation of ERNIE 4.5 while adding extensive mid-training and post-training optimizations, including reinforcement learning to refine reasoning depth. With a focus on reducing hallucinations, it produces more trustworthy outputs and follows user instructions with higher fidelity. Its improved agentic functions mean it can handle more complex, action-driven workflows like planning, chained reasoning, and task execution. Developers and businesses can integrate ERNIE X1.1 into their systems through ERNIE Bot, the Wenxiaoyan app, or the Qianfan MaaS platform’s API. This makes it adaptable for enterprise use cases such as customer support automation, knowledge management, and intelligent assistants. The model’s transparency and output reliability position it as a competitive alternative in the global AI landscape. By combining accuracy, usability, and advanced reasoning, ERNIE X1.1 establishes itself as a trusted solution for high-stakes applications.

What is DeepSeek-VL?

DeepSeek-VL is a groundbreaking open-source model that merges vision and language capabilities, specifically designed for practical use in everyday settings. Our approach is based on three core principles: first, we emphasize the collection of a wide and scalable dataset that captures a variety of real-life situations, including web screenshots, PDFs, OCR outputs, charts, and knowledge-based data, to provide a comprehensive understanding of practical environments. Second, we create a taxonomy derived from genuine user scenarios and assemble a related instruction tuning dataset, which is aimed at boosting the model's performance. This fine-tuning process greatly enhances user satisfaction and effectiveness in real-world scenarios. Furthermore, to optimize efficiency while fulfilling the demands of common use cases, DeepSeek-VL includes a hybrid vision encoder that skillfully processes high-resolution images (1024 x 1024) without leading to excessive computational expenses. This thoughtful design not only improves overall performance but also broadens accessibility for a diverse group of users and applications, paving the way for innovative solutions in various fields. Ultimately, DeepSeek-VL represents a significant step towards bridging the gap between visual understanding and language processing.

Media

No images available

Media

Integrations Supported

Python
C
C#
C++
CSS
Clojure
ERNIE 4.5
ERNIE Bot
Elixir
F#
Go
Java
JavaScript
Julia
Kotlin
R
Ruby
SQL
TypeScript
Visual Basic

Integrations Supported

Python
C
C#
C++
CSS
Clojure
ERNIE 4.5
ERNIE Bot
Elixir
F#
Go
Java
JavaScript
Julia
Kotlin
R
Ruby
SQL
TypeScript
Visual Basic

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Baidu

Date Founded

2000

Company Location

China

Company Website

yiyan.baidu.com

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

www.deepseek.com

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