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Mattias chaw
Mattias chaw

Posted on • Originally published at aiwave.live

How to Access China's Best AI Models Without a Chinese Phone Number

#ai #llm #api #deepseek

The Problem

China produces some of the world's most powerful AI models — DeepSeek, ERNIE (Baidu), GLM (Zhipu), Qwen (Alibaba), Kimi (Moonshot). These models frequently match or exceed GPT-4o on benchmarks.

But there's a catch: you need a Chinese phone number to register.

For international developers, this is a hard blocker. You can't just sign up with an email or GitHub account. You need a +86 phone number, which means either:

  • A Chinese SIM card (expensive if you're overseas)
  • A virtual number service (often rejected by the platforms)
  • Asking a friend in China (not scalable)

The Solution: AI API Aggregators

API aggregation services solve this problem by:

  1. Registering with Chinese AI providers on your behalf
  2. Providing a unified OpenAI-compatible API
  3. Handling billing in USD
  4. Hosting in regions with low latency (Singapore, for example)

The result? You get access to 50+ Chinese AI models through a single API key, with OpenAI-compatible endpoints.

How It Works

The setup is dead simple — change one line in your code:

from openai import OpenAI

client = OpenAI(
    api_key="your-api-key",
    base_url="https://aiwave.live/v1"  # The aggregator endpoint
)

response = client.chat.completions.create(
    model="deepseek-v4-pro",
    messages=[{"role": "user", "content": "Hello"}]
)

print(response.choices[0].message.content)
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That's it. Your existing OpenAI SDK code works without any other changes.

Which Models Can You Access?

Provider Models Strengths
DeepSeek V4 Pro, V4 Flash, R1 Code generation, reasoning, cost efficiency
Baidu ERNIE 3.5, 4.0, 5.0, 5.1 Chinese NLP, enterprise tasks
Zhipu GLM 4.7 Flash, 4.7 FlashX Fast responses, general purpose
Kimi (Moonshot) K2.5, K2.6, Moonshot V1 Long context (200K tokens)
Qwen (Alibaba) Qwen3 8B/32B/235B Multilingual, coding

The Price Advantage

Here's where it gets interesting. Chinese AI models are dramatically cheaper than Western equivalents:

Model Input Price vs GPT-4o ($2.50/M)
DeepSeek V4 Pro $0.27/M 89% cheaper
DeepSeek V4 Flash $0.15/M 94% cheaper
ERNIE 3.5 8K $0.06/M 97% cheaper
GLM 4.7 Flash $0.01/M 99% cheaper

For a typical workload that costs $75/month with GPT-4o, you'd pay roughly $9/month with DeepSeek V4 Pro. That's $792 saved per year on a single project.

What About Quality?

Chinese models have closed the gap significantly:

  • DeepSeek V4 Pro matches GPT-4o on coding benchmarks
  • GLM 4.7 excels at Chinese language tasks
  • Kimi K2.6 offers 200K context window — larger than GPT-4o's 128K
  • Qwen3 235B is competitive with Claude 3.5 on multilingual tasks

Real-World Use Cases

1. Cost-Effective Chatbots

Running a customer support chatbot with GPT-4o at scale gets expensive fast. Switching to DeepSeek V4 Flash ($0.15/M input) can reduce costs by 90%+ with minimal quality loss.

2. Content Generation at Scale

If you're generating blog posts, product descriptions, or marketing copy, ERNIE 3.5 at $0.06/M tokens is practically free compared to GPT-4o.

3. Code Review and Generation

DeepSeek V4 Pro is specifically strong at code tasks. Many developers report preferring it over GPT-4o for complex refactoring and debugging.

4. Research and Analysis

Kimi's 200K context window makes it ideal for analyzing long documents, research papers, or codebases that exceed GPT-4o's context limits.

Getting Started

The process takes about 60 seconds:

  1. Sign up with GitHub or email (no Chinese phone needed)
  2. Get your API key from the dashboard
  3. Replace the base_url in your existing code
  4. Start making requests

No KYC, no credit card required to start. Most platforms offer free credits to try out.

Things to Consider

  • Data residency: Check where the API provider hosts their infrastructure. Singapore-based servers offer good Asia-Pacific latency.
  • Rate limits: Chinese models may have different rate limits than OpenAI. Test under your expected load.
  • Feature parity: Not all models support function calling, streaming, or vision equally. Check the documentation.
  • Payment: Many aggregators accept USDT/cryptocurrency in addition to credit cards, which is convenient for international developers.

Conclusion

China's AI models are no longer a well-kept secret. They're production-ready, affordable, and — thanks to API aggregators — accessible to any developer worldwide without the hassle of Chinese registration requirements.

If you're building on a budget (and who isn't?), it's worth testing these models alongside your existing GPT-4o setup. The savings are real, and the quality gap is smaller than most developers expect.

Have you tried Chinese AI models? I'd love to hear about your experience in the comments.

Disclaimer: Prices mentioned are accurate at the time of writing and may vary. Always check current pricing before making production decisions.

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