DeepSeek-V4.1是深度求索全新推出的旗舰混合推理模型,支持自适应深度思考与通用对话双模式,较前代模型推理精度与响应速度显著提升。
| Provider | Input | Output | Cache read | Context length | Latency | Uptime | Status |
|---|---|---|---|---|---|---|---|
dashscope dashscope/deepseek-v4.1-flash | ¥1.00 | ¥4.00 | Supported | 1.024M | 1.5s | 88.70% | Lowest |
volcengine deepseek-v4-1-flash-260910 | ¥1.00 | ¥4.00 | Supported | 1.024M |
from openai import OpenAI
client = OpenAI(
base_url="https://api.openroute.cn/v1",
api_key="<ONTOROUTE_API_KEY>",
)
completion = client.chat.completions.create(
model="deepseek/deepseek-v4.1-flash",
messages=[
{
"role": "user",
"content": "Write a one-sentence bedtime story about a unicorn.",
}
],
)
print(completion.choices[0].message.content)Prices are CNY (¥) per million tokens, billed as you go. Cache reads can cut the cost of repeated context.
| 855ms |
| 87.50% |
This model does not publish tunable parameters.