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Description

ERNIE X1 represents a sophisticated conversational AI model created by Baidu within their ERNIE (Enhanced Representation through Knowledge Integration) lineup. This iteration surpasses earlier versions by enhancing its efficiency in comprehending and producing responses that closely resemble human interaction. Utilizing state-of-the-art machine learning methodologies, ERNIE X1 adeptly manages intricate inquiries and expands its capabilities to include not only text processing but also image generation and multimodal communication. Its applications are widespread in the realm of natural language processing, including chatbots, virtual assistants, and automation in enterprises, leading to notable advancements in precision, contextual awareness, and overall response excellence. The versatility of ERNIE X1 makes it an invaluable tool in various industries, reflecting the continuous evolution of AI technology.

Description

NVIDIA Nemotron 3.5 Super VL is a multimodal foundation model developed for AI agents that require reasoning, visual understanding, coding, and multistep task execution. Its 120-billion-parameter mixture-of-experts architecture activates approximately 12 billion parameters per token, enabling efficient inference while maintaining substantial model capacity. The model processes text, images, documents, and video within a unified system that combines multimodal interpretation with instruction following and tool use. Its document intelligence capabilities include extracting information from tables, analyzing charts, interpreting page layouts, and processing multipage documents. Video understanding features support visual information retrieval, content review, incident analysis, and reasoning across recorded sequences. The model also supports software engineering tasks such as code analysis, error identification, debugging, testing, and recommending fixes. Developers can customize Nemotron 3.5 Super VL using NVIDIA NeMo for supervised fine-tuning, low-rank adaptation, and reinforcement learning with domain-specific data. Its inference optimizations include speculative decoding, context reuse, multi-token prediction, and NVFP4 quantization to improve throughput and reduce computational requirements. The model is available with open weights and supports deployment across compatible local hardware, enterprise data centers, and cloud infrastructure.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

C Yes 
C# Yes 
C++ Yes 
CSS Yes 
Clojure Yes 
Elixir Yes 
F# Yes 
Go Yes 
HTML Yes 
Julia Yes 
Kotlin Yes 
NVIDIA NIM No 
OpenRouter No 
PHP Yes 
R Yes 
Ruby Yes 
Scala Yes 
TypeScript Yes 
Visual Basic Yes 
vLLM No 

Integrations

C No 
C# No 
C++ No 
CSS No 
Clojure No 
Elixir No 
F# No 
Go No 
HTML No 
Julia No 
Kotlin No 
NVIDIA NIM Yes 
OpenRouter Yes 
PHP No 
R No 
Ruby No 
Scala No 
TypeScript No 
Visual Basic No 
vLLM Yes 

Pricing Details

$0.28 per 1M tokens
Input: $0.28 per 1 million tokens
Output: $1.1 per 1 million tokens
Free Trial No 
Free Version No 

Pricing Details

$0
The model is available at no charge under the OpenMDW-1.1 license. Hosted inference through third-party providers may have separate charges.
Free Trial No 
Free Version Yes 

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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
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 No 

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

NVIDIA

Founded

1993

Country

United States

Website

nvidia.com

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