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千帆

18 models

An enterprise-level one-stop platform for large model and AI-native application development and services, providing the most comprehensive and user-friendly toolchain for the entire process of generative artificial intelligence model development and application development.

Supported Models

ERNIE 3.5 8K

8K

Maximum Context Length

8K

Maximum Output Length

--

Input Price

$0.11

Output Price

$0.28

ERNIE 3.5 8K Preview

ernie-3.5-8k-preview

8K

Maximum Context Length

8K

Maximum Output Length

--

Input Price

$0.11

Output Price

$0.28

ERNIE 3.5 128K

128K

Maximum Context Length

128K

Maximum Output Length

--

Input Price

$0.11

Output Price

$0.28

ERNIE 4.0 8K

ernie-4.0-8k-latest

8K

Maximum Context Length

8K

Maximum Output Length

--

Input Price

$4.14

Output Price

$12.43

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evanth.description

Ollama provides models that cover a wide range of fields, including code generation, mathematical operations, multilingual processing, and conversational interaction, catering to diverse enterprise-level and localized deployment needs.

Anthropic is a company focused on AI research and development, offering a range of advanced language models such as Claude 3.5 Sonnet, Claude 3 Sonnet, Claude 3 Opus, and Claude 3 Haiku. These models achieve an ideal balance between intelligence, speed, and cost, suitable for various applications from enterprise workloads to rapid-response scenarios. Claude 3.5 Sonnet, as their latest model, has excelled in multiple evaluations while maintaining a high cost-performance ratio.

Bedrock is a service provided by Amazon AWS, focusing on delivering advanced AI language and visual models for enterprises. Its model family includes Anthropic's Claude series, Meta's Llama 3.1 series, and more, offering a range of options from lightweight to high-performance, supporting tasks such as text generation, conversation, and image processing for businesses of varying scales and needs.

Using Wenxin Qianfan in Evanth

Wenxin Qianfan is an artificial intelligence large language model platform launched by Baidu, supporting a variety of application scenarios, including literary creation, commercial copywriting, and mathematical logic reasoning. The platform features deep semantic understanding and generation capabilities across modalities and languages, and it is widely utilized in fields such as search Q&A, content creation, and smart office applications.

This article will guide you on how to use Wenxin Qianfan in Evanth.

Step 1: Obtain the Wenxin Qianfan API Key

Register and log in to the Baidu AI Cloud Console
Navigate to Baidu AI Cloud Qianfan ModelBuilder
Select API Key from the left menu

Click Create API Key
In Service, select Qianfan ModelBuilder
In Resource, choose All Resources
Click the Confirm button
Copy the API Key and keep it safe

Step 2: Configure Wenxin Qianfan in Evanth

Go to the Settings page of Evanth
Under Language Models, find the Wenxin Qianfan settings

Enter the obtained API Key
Select a Wenxin Qianfan model for your AI assistant, and you're ready to start chatting!

During usage, you may need to pay the API service provider. Please refer to Wenxin Qianfan's relevant fee policy.

You can now use the models provided by Wenxin Qianfan for conversations in Evanth.

Wenxin · AI Model Providers · Evanth

Copy API Key

Create API Key

Enter API Key

Select Wenxin Qianfan Model and Start Chat

Select Wenxin Qianfan Model and Start Chat

API Key