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support

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Description

ERNIE X1.1 is Baidu’s latest reasoning AI model, designed to raise the bar for accuracy, reliability, and action-oriented intelligence. Compared to ERNIE X1, it delivers a 34.8% boost in factual accuracy, a 12.5% improvement in instruction compliance, and a 9.6% gain in agentic behavior. Benchmarks show that it outperforms DeepSeek R1-0528 and matches the capabilities of advanced models such as GPT-5 and Gemini 2.5 Pro. The model builds upon ERNIE 4.5 with additional mid-training and post-training phases, reinforced by end-to-end reinforcement learning. This approach helps minimize hallucinations while ensuring closer alignment to user intent. The agentic upgrades allow it to plan, make decisions, and execute tasks more effectively than before. Users can access ERNIE X1.1 through ERNIE Bot, Wenxiaoyan, or via API on Baidu’s Qianfan platform. Altogether, the model delivers stronger reasoning capabilities for developers and enterprises that demand high-performance AI.

Description

Qwen 4 is the upcoming fourth-generation foundation model in Alibaba’s Qwen AI family. Alibaba publicly confirmed at its 2026 Apsara Conference that the model is currently being trained. The company has not yet released technical specifications, model weights, API access, pricing, benchmark results, or a launch date for Qwen 4. Its development forms part of Alibaba’s broader effort to advance foundation models capable of increasingly complex and long-horizon work. The Qwen team is also researching recursive self-improvement, in which models use empirical feedback to identify weaknesses, design experiments, evaluate results, and iteratively improve training processes. Alibaba demonstrated this approach with Qwen3.8-Max, which completed 33 automated optimization cycles during a month-long experiment and improved its Artificial Analysis score from 40 to 45. These experiments provide context for Alibaba’s model-development direction but do not establish specific Qwen 4 capabilities. Alibaba has additionally outlined Qwen 4.5 and Qwen 5 models that could eventually scale to between 5 trillion and 10 trillion parameters. Until Qwen 4 is released, its exact architecture, modalities, performance, deployment options, and licensing remain to be announced.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

No images available

Integrations

Python Yes 
Alibaba Cloud Model Studio No 
C Yes 
CSS Yes 
Cline No 
ERNIE 4.5 Yes 
F# Yes 
Go Yes 
Happy Shrimp 1.0 No 
Hugging Face No 
JavaScript Yes 
Kotlin Yes 
Model Context Protocol (MCP) No 
Novita AI No 
Odysseus No 
Qwen Code No 
QwenWork No 
Ruby Yes 
Rust Yes 
SQL Yes 

Integrations

Python Yes 
Alibaba Cloud Model Studio Yes 
C No 
CSS No 
Cline Yes 
ERNIE 4.5 No 
F# No 
Go No 
Happy Shrimp 1.0 Yes 
Hugging Face Yes 
JavaScript No 
Kotlin No 
Model Context Protocol (MCP) Yes 
Novita AI Yes 
Odysseus Yes 
Qwen Code Yes 
QwenWork Yes 
Ruby No 
Rust No 
SQL No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Baidu

Founded

2000

Country

China

Website

yiyan.baidu.com

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai

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