JuheNext, Making Top Global AI Models Accessible to Everyone

Pure Official API Ultra-High Concurrency No VPN Required ≥99% Availability Multiple Models

Overview

Disclaimer: The services provided by this site are only for non-mainland users and certain overseas users for learning, research, and testing purposes. Please do not use them for any purpose that may harm national security. This site does not bear any legal responsibility caused by users and reserves the right to pursue legal liability.

JuheNext is an AI model integration platform that includes OpenAI, Anthropic, Gemini, and some mainstream Chinese AI models such as DeepSeek and Qwen. Through the API provided by JuheNext, you can conveniently and quickly implement unified calls to multiple AI models, such as gpt-4.5-preview, o3-mini, claude-3-7-sonnet, DeepSeek-R1, Gemini-2.5-pro, etc. View supported models>>, with support for the latest models synchronized with the official websites.

If you are a user from a country where these services are not officially allowed, purchasing from official websites involves complex issues such as bypassing official IP checks and account bans. These are not skills that every user excels at and can consume a lot of energy and time, with extremely high trial-and-error costs.

Choosing the JuheNext platform eliminates the process of registering, verifying, and binding cards for purchases with multiple AI companies, allowing you to completely return to the essence of your needs and focus on researching how to use AI to solve practical problems.

Choosing JuheNext services can meet the following needs:

Solving Geographical Restrictions

Foreign AI models like OpenAI prohibit use in certain Asian countries. JuheNext first processes requests from users in these countries to make them compliant, then interfaces with the official services. Users don't need to do anything special and can use any AI model just like users from non-restricted countries.

Solving Frequency Limitation Issues

Official APIs have tiered frequency limitations for users. Proxy APIs solve these issues and support ultra-high concurrency, fully supporting users' high-frequency daily use and enterprise production operations.

Solving Cost Issues

Official APIs calculate charges in USD. With the current exchange rate of about 8:1, using $100 of API services would cost around 800 RMB. However, JuheNext offers rates as low as 2 RMB per USD equivalent, saving costs by up to 3 times.

Excellent Performance for Long-Text Context Tasks

JuheNext is committed to continuously optimizing server networks and performance. Practice has shown that we excel in both response speed and line stability when executing ultra-long text input and output tasks, with minimal probability of empty responses and disconnections, allowing your business to run more stably.

INFO

Purity Principle All API models of JuheNext use official pure forwarding, without additional prompt injection, and are not obtained through reverse engineering. In addition to supporting basic parameters, we also support advanced parameters such as function calls and structured outputs.

INFO

Stability Principle We are committed to providing you with the most stable API service. We monitor model availability 24/7 through uptime heartbeat detection>>. Historical data shows that JuheNext's average availability over the past six months has exceeded 99%, far surpassing the market average.

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Privacy Principle JuheNext uses the open-source proxy program New-api for forwarding. All code comes from the open-source community. We promise not to add any secondary development code to the program and only collect basic parameters of user requests through the program's logging function for billing purposes. We do not retain any content and highly value user data privacy. View privacy policy here.

How to Use

We provide you with two ways to use our service. Theoretically, both are implemented through API, but they differ significantly in presentation. You can choose either method according to your needs:

Chat Programs

This method is more suitable for beginners. You can start by clicking Chat Now on our website homepage; You can also visit our application site and choose any AI program from NextChat, Dooy-AI, or LibreChat to start using. With simple settings, you can begin your AI conversation journey just like using ChatGPT Plus! For usage methods, please refer to the Applications Guide.

TIP

The unified method for programs is to configure the API-Key and Base_Url interface in the settings: https://api.juheai.top. Some programs may require it to be written as: https://api.juheai.top/v1 or https://api.juheai.top/v1/chat/completions.

API Calls

This method is more suitable for program development. JuheNext's API interface format is completely consistent with OpenAI's. You can refer to the official API documentation or quickly integrate using the following methods:

curl request

curl https://api.juheai.top/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-xxx" \
  -d '{
    "model": "gpt-4o",
    "messages": [
      {
        "role": "system",
        "content": "You are a helpful assistant."
      },
      {
        "role": "user",
        "content": "Hello"
      }
    ]
  }'

You will receive the following response:

{
  "id": "chatcmpl-9vNXutfC8NJxijJ5JNKey7Edfs1Jv",
  "object": "chat.completion",
  "created": 1723462234,
  "model": "gpt-4o-2024-05-13",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I help you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 18,
    "completion_tokens": 9,
    "total_tokens": 27
  },
  "system_fingerprint": "fp_abc28019ad"
}

python request

import requests
import json

url = "https://api.juheai.top/v1/chat/completions"

payload = json.dumps({
   "model": "gpt-4o",
   "messages": [
      {
         "role": "system",
         "content": "You are a helpful assistant."
      },
      {
         "role": "user",
         "content": "Hello"
      }
   ],
   "stream": False
})
headers = {
   'Accept': 'application/json',
   'Authorization': 'Bearer sk-xxx',
   'Content-Type': 'application/json'
}

response = requests.request("POST", url, headers=headers, data=payload)

print(response.text)

You will receive the following response:

{
  "id": "chatcmpl-9vNS7xiWDXMfZ6UZ6zsFQUbmOOvgQ",
  "object": "chat.completion",
  "created": 1723461875,
  "model": "gpt-4o-2024-05-13",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I help you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 18,
    "completion_tokens": 9,
    "total_tokens": 27
  },
  "system_fingerprint": "fp_abc28019ad"
}

Interface Description

Global Interface: https://api.juheai.top

Domestic Interface: https://api.vjjwz.cn

TIP

Please remember that you can generally use the global interface. Only when the global interface is unstable or cannot be connected should you choose the domestic interface as a backup. Unless otherwise specified, this document uses the global interface as an example. You can replace it as needed.

Key Concepts

Base_Url Interface

Base_Url refers to the basic URL, also known as the interface or basic endpoint, used to build API call addresses. When making API requests, users typically need to combine it with specific endpoint paths to form a complete request URL. For example, when the Base_Url is https://api.openai.com and the specific endpoint path is /v1/chat/completions, the complete request URL is https://api.openai.com/v1/chat/completions. JuheNext's unified Base_Url interface is https://api.juheai.top. Both Base_Url and API Key are indispensable for API calls.

API Key Token

An API Key token is a character sequence used for authentication and authorization to access APIs. Each API Key is unique and bound to the holder. Clients with the correct API Key can enjoy the AI model's API services; it's like your key to open the door. Both Base_Url and API Key are indispensable for API calls.

Tokens

Tokens are the basic unit of measurement for text usage in AI after fine-grained processing of text. They are somewhat similar to character count but with differences. The conversion relationship can be roughly equated to 1000 tokens = 750 words = 500 Chinese characters. OpenAI Official Calculation Tool

Stream Output

Stream output refers to data being processed and output immediately as it is generated and received, rather than waiting for all data to be generated and processed before output. This is very effective for chat scenarios, where users can receive AI responses in a shorter time after sending questions, and then see the answer completed gradually like a typewriter. Compared to non-stream output, users wait less time and have a better experience.

Embedding Vector Model

Vector models can transform diverse information such as language, images, and sound into a universal, mathematical form of expression, opening a door for AI to intelligently understand and create in the world. Vector models excel at transforming abstract concepts and concrete things into a series of values that are arranged in a specific pattern in multidimensional space, forming vectors. In AI's process of understanding the world, vector models play a crucial role; it can even be said that they are the foundation for AI large models to build and understand complex data, and a standardized "condensation" of data in different forms.

FC (Function_Call)

The large model's own capabilities are more focused on reasoning and analysis. Function_Call, as a complement to these capabilities, allows you to connect models (such as gpt-4o) to external tools and systems, which is very useful for building multifunctional AI agents (such as mathematical calculations, web searches, weather queries, database queries, etc.).

RAG

Retrieval-Augmented Generation (RAG) is a technique that uses information from private or proprietary data sources to assist text generation. It combines retrieval models (designed to search large datasets or knowledge bases) and generative models (such as large language models (LLMs), which use retrieved information to generate readable text responses). Simply put, if you have a document that needs to be interpreted by a large model, RAG will first break down the document and organize relevant content. The large model then reasons and generates answers by referencing both its training data and the new content submitted by RAG, which is more accurate than answers generated solely from the large model's own training data.

LLM

LLM (Large Language Model) refers to language models trained on large-scale text data, such as GPT-4o. LLMs have powerful language understanding and generation capabilities and can perform various natural language processing tasks such as text generation, translation, question answering, etc.

Direct/Proxy API

Direct API: Without going through any third-party servers, the requesting end connects directly to the official API service. For example, OpenAI's direct API must have the interface https://api.openai.com. If it's not, then it's 100% a proxy API.

Proxy API: Going through a third-party server for forwarding is a proxy API. The interface is a third-party interface provided by the third-party proxy service provider, such as JuheNext's interface: https://api.juheai.top.

There is no distinction between good and bad for direct APIs and proxy APIs; choose what meets your needs, both can work. Below are the main differences between direct APIs and proxy APIs:

Comparison Item	Direct API	Proxy API
Regional Requirements	Must be from a supported country IP	No restrictions
Price	Exchange rate price	Generally lower than exchange rate price
API Stability	Absolutely stable	May have fluctuations
API Quality	100%	Depends on the service provider, up to 100% original quality
API Speed	Relatively fast	Depends on the service provider, can be faster than direct after optimization
Risk	100% account ban for non-supported regions	0 account ban risk
Concurrency	Generally low concurrency for small amounts	Polling accounts, ultra-high concurrency
Functionality	Limited to officially released APIs	Includes custom combined APIs, more options

Rate Limits

Rate limits are measured in five ways: Requests Per Minute (RPM), Requests Per Day (RPD), Tokens Per Minute (TPM), Tokens Per Day (TPD), and Images Per Minute (IPM). Rate limits can be triggered in any option based on what happens first. For example, you might send 20 requests to the ChatCompletions endpoint but only 100 tokens. If your RPM is 20, that will reach your limit, even if you haven't sent 150,000 tokens in those 20 requests (if your TPM limit is 150,000).

API Monitoring

API monitoring address: https://uptime.stableapi.top/status/juheai