DeepSeek V4, Qwen3, GLM-4, Kimi K3 and more. Chinese AI models are beating GPT-4 on coding and math benchmarks. Get API access today.
Get API Access →Chinese AI models have surpassed Western competitors in multiple benchmarks. DeepSeek V4 tops coding benchmarks, Qwen3 leads multilingual tasks, and GLM-4 excels at Chinese language understanding.
| Model | Coding (HumanEval) | Math (GSM8K) | Chinese (C-Eval) | Price/M tokens |
|---|---|---|---|---|
| DeepSeek V4 | 90.2% | 96.3% | 92.1% | $0.28 |
| Qwen3.6 Flash | 85.7% | 91.2% | 94.5% | $0.06 |
| GLM-4 Flash | 82.3% | 88.9% | 91.8% | $0.04 |
| Kimi K3 | 87.1% | 90.5% | 89.7% | $0.14 |
| GPT-4o (reference) | 88.5% | 95.1% | 78.3% | $2.50 |
* Benchmark scores are approximate and based on publicly available evaluations
DeepSeek V4 — #1 on HumanEval, SWE-bench, and LiveCodeBench. Used by top tech companies for code generation and review.
Qwen3.6 Flash — Superior Chinese language understanding, ideal for customer service, content creation, and document processing.
GLM-4 Flash — Incredible performance at $0.04/M tokens. Perfect for high-volume, cost-sensitive applications.
DeepSeek R1 — Chain-of-thought reasoning model for complex math, logic, and multi-step problem solving.
Kimi K3 — Supports 128K context window, ideal for document analysis, summarization, and RAG applications.
Qwen-Max — Excels across 29+ languages while maintaining strong Chinese capabilities.
All models available through a single OpenAI-compatible endpoint.
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://eaf9553505eeb8f5-115-190-107-107.serveousercontent.com/v1",
api_key="your-key"
)
# Try any Chinese AI model
response = client.chat.completions.create(
model="deepseek-v4", # or qwen3.6-flash, glm-4-flash, kimi-k3
messages=[{"role": "user", "content": "Hello!"}]
)