Best Chinese AI Models in 2026: DeepSeek, Qwen, GLM Compared
June 9, 2026
Chinese AI labs have been shipping at breakneck speed. Western models dominated headlines for years, but the performance gap has virtually closed — while the price gap has turned into a canyon. Here is the landscape as of mid-2026.
The Contenders
| Model | Developer | Context | Best For |
|---|---|---|---|
| DeepSeek V4 Pro | DeepSeek | 128K | General, coding, multilingual |
| Qwen3-Max | Alibaba | 128K | Chinese/English bilingual |
| GLM-5 | Zhipu AI | 128K | Enterprise, structured data |
| Moonshot-v2 | Moonshot AI | 256K | Long docs, research |
Price Comparison
| Model | Input ($/1M tokens) | Output ($/1M tokens) |
|---|---|---|
| DeepSeek V4 Pro | $0.14 | $0.28 |
| Qwen3-Max | $0.35 | $0.70 |
| GLM-5 | $0.29 | $0.58 |
| Moonshot-v2 | $0.42 | $0.84 |
| GPT-4o (reference) | $2.50 | $10.00 |
→ All Chinese models are at least 4× cheaper than GPT-4o. DeepSeek is 18× cheaper on input tokens.
Quality Benchmarks
| Benchmark | GPT-4o | DeepSeek V4 | Qwen3 | GLM-5 |
|---|---|---|---|---|
| MMLU | 88.7 | 87.2 | 86.9 | 85.4 |
| HumanEval (Python) | 92.1 | 91.8 | 90.3 | 88.7 |
| MATH | 76.6 | 75.9 | 74.2 | 72.8 |
| C-Eval (Chinese) | 78.3 | 85.1 | 87.6 | 86.9 |
DeepSeek V4 Pro is within 1-2 points of GPT-4o on English tasks, and significantly better on Chinese and multilingual tasks.
Which One?
- DeepSeek V4 Pro → best all-rounder. Best price/performance, strongest coding, best Vietnamese and Indonesian support.
- Qwen3-Max → if your primary market is China or you need #1 Chinese quality.
- GLM-5 → enterprise apps needing bulletproof structured output and function calling.
- Moonshot-v2 → document-heavy apps (legal, research, long-form) with its 256K context window.
One API, All Models
Through NexAPI, you get all these models from a single OpenAI-compatible endpoint:
client = OpenAI(
api_key="napi-...",
base_url="https://nex-api.tech/v1"
)
# Switch models with one parameter
deepseek = client.chat.completions.create(model="deepseek-v4-pro", ...)
qwen = client.chat.completions.create(model="qwen3-max", ...)
glm = client.chat.completions.create(model="glm-5", ...)
No separate accounts, no different SDKs. One API key, instant access to all models.
Ready to cut your AI bill by 90%?
Sign up at nex-api.tech/register — $1 free credit, instant access.
Check examples at github.com/tq1008/nexapi-examples