Dedicated to the frontier research and industrial deployment of Large Language Models. Empowering global developers and enterprises with distributed low-latency inference, multi-modal context, and enterprise private cloud clusters.
Engineered for ultra-low latency, high elastic concurrency, and strict enterprise compliance.
Deeply optimized for vLLM, SGLang, and TensorRT-LLM with PagedAttention and Chunked Prefill scheduling, driving 3.8x throughput and ultra-low TTFT under high concurrency.
Native support from massive technical literature to multimodal vision-language-audio alignment without memory degradation.
100% compatible with standard OpenAI protocols. Seamless model switching, intelligent load balancing, and failover.
Level-3 security protection compliant. Turnkey on-premise appliances, heterogeneous domestic AI chip acceleration, and multi-layer content filtering.
Experience sub-15ms streaming latency right in your browser with instant model benchmarking.
Powered by standard RESTful endpoints compatible with official OpenAI SDKs across all major programming languages.
from openai import OpenAI
client = OpenAI(
base_url="https://api.llm.sh.cn/v1",
api_key="sk-sh-cn-YOUR_API_KEY"
)
response = client.chat.completions.create(
model="deepseek-r1",
messages=[
{"role": "system", "content": "You are an AI assistant powered by llm.sh.cn"},
{"role": "user", "content": "Explain distributed inference advantages"}
],
temperature=0.6,
stream=True
)
for chunk in response:
content = chunk.choices[0].delta.content
if content:
print(content, end="", flush=True)Transparent, reproducible evaluation metrics across industry-standard reasoning and coding benchmarks.
| Model Name | Architecture | Context Window | MMLU-Pro | MATH Reasoning | Status |
|---|---|---|---|---|---|
|
DeepSeek-R1
DeepSeek
|
MoE Reasoning CoT | 128,000 | 86.0% | 97.3% | Available |
|
DeepSeek-V3
DeepSeek
|
MoE 671B Dense Activation | 128,000 | 82.4% | 89.2% | Available |
|
Qwen-2.5-72B-Instruct
Alibaba
|
Dense 72B Flagship Instruct | 128,000 | 79.6% | 83.1% | Available |
|
Llama-3.3-70B
Meta
|
Dense Open Foundation | 128,000 | 77.1% | 78.5% | Available |
Everything you need to know about API integration, private clusters, and regional computing subsidies.
baseURL in your existing LangChain, LlamaIndex, or OpenAI SDK client with https://api.llm.sh.cn/v1 and provide your API Key. No changes to your business logic are required.