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features
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support

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Description

Baidu’s ERNIE X1 Turbo is designed for industries that require advanced cognitive and creative AI abilities. Its multimodal processing capabilities allow it to understand and generate responses based on a range of data inputs, including text, images, and potentially audio. This AI model’s advanced reasoning mechanisms and competitive performance make it a strong alternative to high-cost models like DeepSeek R1. Additionally, ERNIE X1 Turbo integrates seamlessly into various applications, empowering developers and businesses to use AI more effectively while lowering the costs typically associated with these technologies.

Description

Phi-4-mini-reasoning is a transformer-based language model with 3.8 billion parameters, specifically designed to excel in mathematical reasoning and methodical problem-solving within environments that have limited computational capacity or latency constraints. Its optimization stems from fine-tuning with synthetic data produced by the DeepSeek-R1 model, striking a balance between efficiency and sophisticated reasoning capabilities. With training that encompasses over one million varied math problems, ranging in complexity from middle school to Ph.D. level, Phi-4-mini-reasoning demonstrates superior performance to its base model in generating lengthy sentences across multiple assessments and outshines larger counterparts such as OpenThinker-7B, Llama-3.2-3B-instruct, and DeepSeek-R1. Equipped with a 128K-token context window, it also facilitates function calling, which allows for seamless integration with various external tools and APIs. Moreover, Phi-4-mini-reasoning can be quantized through the Microsoft Olive or Apple MLX Framework, enabling its deployment on a variety of edge devices, including IoT gadgets, laptops, and smartphones. Its design not only enhances user accessibility but also expands the potential for innovative applications in mathematical fields.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

No images available

Screenshots View All

Integrations

C Yes 
C++ Yes 
CSS Yes 
Elixir Yes 
ExecuTorch No 
F# Yes 
Go Yes 
HTML Yes 
Hugging Face No 
Julia Yes 
Kotlin Yes 
Microsoft Azure No 
Microsoft Foundry No 
Microsoft Foundry Models No 
PHP Yes 
Ruby Yes 
Rust Yes 
Scala Yes 
TypeScript Yes 
Visual Basic Yes 

Integrations

C No 
C++ No 
CSS No 
Elixir No 
ExecuTorch Yes 
F# No 
Go No 
HTML No 
Hugging Face Yes 
Julia No 
Kotlin No 
Microsoft Azure Yes 
Microsoft Foundry Yes 
Microsoft Foundry Models Yes 
PHP No 
Ruby No 
Rust No 
Scala No 
TypeScript No 
Visual Basic No 

Pricing Details

$0.14 per 1M tokens
Input: $0.14 per 1 million tokens
Output: $0.55 per 1 million tokens
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 Yes 

Customer Support

Business Hours Yes 
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 Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Baidu

Founded

2000

Country

China

Website

yiyan.baidu.com

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/blog/one-year-of-phi-small-language-models-making-big-leaps-in-ai/

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