Publish time
-Model Series
DeepSeekInput type
Output type
Input Price
¥2 / 1M tokensOutput Price
¥5 / 1M tokensCache Write Price
¥2.5 / 1M tokensCache Read Price
¥0.2 / 1M tokensContext Window
32,192Max Output Length
30,000【 360gpt-pro & deepseek-V3 虚拟模型名 新版 V3 模型借鉴 DeepSeek-R1 模型训练过程中所使用的强化学习技术,大幅提高了在推理类任务上的表现水平,在数学、代码类相关评测集上取得了超过 GPT-4.5 的得分成绩。
Zhinao API routes requests to the best-fit provider and automatically fails over to the one with highest availability.
TTFT
0.21s
Throughput
29.84tps
Uptime
100.00%
Provider Model
360gpt-pro
Supported Parameters
Recent Uptime
Reasoning
-
Supported Response Formats
Total Context
32,192
Max Output
30,000
Input Price
¥2 / 1M tokens
Output Price
¥5 / 1M tokens
Cache Write
¥2.5 / 1M tokens
Cache Read
¥0.2 / 1M tokens
TTFT
1.62s
Throughput
51.99tps
Uptime
100.00%
Provider Model
alibaba/deepseek/deepseek-v4-flash
Supported Parameters
Recent Uptime
Reasoning
Toggleable
Supported Response Formats
Total Context
1,000,000
Max Output
384,000
Input Price
¥3 / 1M tokens
Output Price
¥9 / 1M tokens
Cache Write
¥3.75 / 1M tokens
Cache Read
¥0.3 / 1M tokens
Compare different providers across Zhinao API
43.39 tok/s
No data
Uptime for deepseek-v3-360gpt-pro across all providers
Zhinao API normalizes requests and responses across providers for you
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.360.cn/v1",
apiKey: process.env.ZHINAO_API_KEY,
});
const response = await client.chat.completions.create({
model: "deepseek-v3-360gpt-pro",
messages: [
{ role: "user", content: "Hello, how are you?" }
],
temperature: 0.7,
max_tokens: 1000,
});
console.log(response.choices[0].message.content);