Use Chinese AI models without China phone verification or local payment setup.
Black Eagle AI helps overseas builders test Chinese text and media models through one OpenAI-compatible endpoint, prepaid credits, and English onboarding.
from openai import OpenAI client = OpenAI( api_key="sk-black-eagle-key", base_url="https://api.blackeaglecambodia.com/v1" ) response = client.chat.completions.create( model="deepseek-v4-flash", messages=[{ "role": "user", "content": "Build a launch plan." }] )
DeepSeek's legacy aliases deepseek-chat and deepseek-reasoner are scheduled for retirement on July 24, 2026. Start new integrations with deepseek-v4-flash or deepseek-v4-pro.
The blocker is often account access, not model quality.
Many global teams can evaluate OpenAI-compatible APIs in minutes, but get stuck much earlier on Chinese provider registration, payment rails, and fragmented setup docs. Black Eagle AI compresses that onboarding friction into one path.
Less provider friction
Skip the usual mix of provider-specific accounts, Chinese-language dashboards and manual setup guesswork.
One developer surface
Start with OpenAI-compatible text endpoints and a clear path toward additional Chinese model families.
Low-risk testing
Begin with a small prepaid package, verify one real request, then add more balance only if the route fits your workload.
Use the route that matches your team.
A gateway is useful when access, billing and provider setup slow down evaluation. If another route is better for you, use it first.
Direct Chinese providers
Best when you already have local registration, Chinese payment and provider-specific docs handled.
Global model routers
Best when you need the broadest Western model catalog and already accept their billing workflow.
Self-hosted gateways
Best when your team can operate routing, keys, budgets, uptime and logs on your own infrastructure.
Black Eagle AI
Best when global developers want prepaid Chinese model access, English setup and one OpenAI-compatible endpoint.
Text models today, media workflows next.
The first production surface is OpenAI-compatible text generation. Media models are available through early-access onboarding for teams with specific workflow requirements.
Get from signup to one real paid request without guessing the next step.
The first useful path is simple: register, pay a small amount or use a redemption code, send the account context, then run one real request. Technical setup guides stay one click away if you want code examples before paying.
Create account
Register with your email so the credit balance can be attached to the correct Black Eagle AI account.
Pay or redeem
Use the $5 starter path, a larger prepaid package, or reply with a redemption code if support already sent one.
Send account context and test
Email your account email or username plus the PayPal receipt or redemption code, then run one OpenAI-compatible request after the balance is added.
Prepaid credits for controlled testing.
Start with a small package, monitor usage in the console, and upgrade when your application is ready for more traffic.
Builder
- Recommended for developers
- Text model experimentation
- Priority setup help
Simple prepaid billing for model experiments.
Create an account, pay through PayPal or use a redemption code, send your account email or username plus the receipt/code, receive credits, then run one small request. The fastest handoff is still email because the current launch flow is intentionally manual and explicit.
Register
Create a Black Eagle AI account and keep your username or email ready.
Create token
Generate an API token once credits are added, then test it with the smallest useful request.
Top up or redeem
Select a $5, $20, $50, or custom package, then send the account email and payment receipt/code to lianzhiweivincent@gmail.com for crediting. If you came from a Qwen or LiteLLM issue, use request access for the shortest route.
Planning a media model workflow?
Black Eagle AI supports early-access onboarding for teams evaluating Kling, Seedance and other Chinese media models. Share your model, volume and integration requirements so we can recommend the right setup.