Low latency global nodes, 99.95% uptime, fully OpenAI compatible interface. Support hundreds of mainstream AI models, pay-as-you-go for global developers.
Stop managing multiple API keys. LLMWate unifies OpenAI, Claude, Gemini, DeepSeek and more into a single OpenAI-compatible endpoint — with global edge nodes for minimal latency.
No credit card required · $1 free credits on signup
Reliable high-performance AI API forwarding service for overseas enterprise developers
Completely adapt OpenAI official calling format, zero modification to original code, seamless migration access.
Distributed overseas edge nodes, cover Europe, America, Southeast Asia, effectively reduce network delay.
Multi-instance cluster deployment, automatic failover, long-term stable operation without interruption.
Integrate GPT-4o, Claude 3.5, Gemini, Llama3, Mistral all mainstream large models.
Pay as you go, no hidden fees, real-time consumption statistics, detailed bill records.
24/7 online operation maintenance, dedicated overseas technical customer service, quick response to problems.
One interface, access all mainstream artificial intelligence large models
Suitable for personal testing, small teams and enterprise commercial use
Simple calling method, quickly access within 1 minute
curl https://api.llmwate.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gpt-4o", "messages": [ {"role": "user", "content": "Hello, introduce your service"} ], "temperature": 0.7 }'
Quick answers to the most common questions about LLMWate
https://api.llmwate.com/v1
Your data is protected by industry-leading security standards and global compliance certifications
OpenAI-compatible API works with any SDK or HTTP client. Drop-in replacement for OpenAI.
from openai import OpenAI client = OpenAI( api_key="YOUR_LLMWATE_API_KEY", base_url="https://api.llmwate.com/v1" ) response = client.chat.completions.create( model="gpt-4o", messages=[{"role": "user", "content": "Hello!"}] ) print(response.choices[0].message.content)
import OpenAI from 'openai'; const client = new OpenAI({ apiKey: 'YOUR_LLMWATE_API_KEY', baseURL: 'https://api.llmwate.com/v1' }); const response = await client.chat.completions.create({ model: 'gpt-4o', messages: [{ role: 'user', content: 'Hello!' }] }); console.log(response.choices[0].message.content);
curl https://api.llmwate.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_LLMWATE_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "gpt-4o", "messages": [{"role": "user", "content": "Hello!"}] }'
package main import ( "context" openai "github.com/sashabaranov/go-openai" ) func main() { config := openai.DefaultConfig("YOUR_LLMWATE_API_KEY") config.BaseURL = "https://api.llmwate.com/v1" client := openai.NewClientWithConfig(config) resp, _ := client.CreateChatCompletion( context.Background(), openai.ChatCompletionRequest{ Model: openai.GPT4o, Messages: []openai.ChatCompletionMessage{ {Role: "user", Content: "Hello!"}, }, }, ) println(resp.Choices[0].Message.Content) }
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