模型列表及结算价格
往下拉有常用app设置和 代码示例

Baseurl:https://ai.megallm.io/v1


Model ID Input 价格 (/M tokens) Output 价格 (/M tokens) Context (tokens) Max Output (tokens)
gpt-4o-mini$0.15$0.60128,0004,096
gpt-4$30.00$60.0032,7684,096
openai-gpt-oss-20b$0.07$0.30128,000128,000
gpt-4o-2024-11-20$2.50$10.00128,00016,384
gpt-5$1.25$10.00128,00064,000
gpt-4o-0013$30.00$60.0032,7684,096
gpt-3.5-turbo-0013$1.50$2.0016,3844,096
gemini-2.5-pro$1.25$10.00128,00064,000
gpt-4.1-2025-04-14$2.00$8.00128,00016,384
gpt-4.1$2.00$8.00128,00016,384
gpt-5-mini$0.25$2.00128,00064,000
gpt-4o$2.50$10.00128,0004,096
gpt-4o-2024-08-06$2.50$10.00128,00016,384
claude-opus-4.1-20250805$15.00$75.0080,00032,000
claude-sonnet-4-20250514$3.00$15.00128,00064,000
alibaba-qwen3-32b$0.15$0.60131,07216,384
gpt-4o-mini-2024-07-18$0.15$0.60128,0004,096
gpt-4o-2024-05-13$5.00$15.00128,0004,096
openai-gpt-oss-12db$0.15$0.60128,000128,000
gpt-3.5-turbo$0.50$1.5016,3844,096
claude-3.5-sonnet$3.00$15.0090,0008,192
claude-sonnet-4-5-20250929$3.00$15.00128,00064,000
llama3.3-70b-instruct$0.12$0.30131,072131,072
deepseek-r1-distill-llama-70b$0.75$0.99128,000128,000
claude-opus-4-20250514$15.00$75.0080,00032,000
llama3.3-8b-instruct$0.30$0.608,1928,192
claude-haiku-4-5-20251001$1.00$5.00128,00032,000
moonshotai/kimi-k2-instruct-0905$1.00$1.00256,00056,000
deepseek-ai/deepseek-v3.1-terminus$1.00$1.00163,84056,000
qwen/qwen3-next-80b-a3b-instruct$1.00$1.00262,14416,384
deepseek-ai/deepseek-v3.1$1.00$1.00128,00016,384
mistralai/mistral-neutron$1.00$1.00128,00016,384
glm-4.6$1.00$1.00196,00032,000
gemini-2.5-flash$1.00$1.00196,00032,000
minimaxai/minimax-m2$1.00$1.00128,00032,000
text-embedding-3-small$0.10$0.108,1911,536
gpt-5.1$1.25$10.00128,00064,000



chatbox设置
图片展示 缩略图
CherryStudio设置


Python

from openai import OpenAI

client = OpenAI(
    base_url="https://ai.megallm.io/v1",
    api_key=os.environ.get("YOUR_API_KEY")
)

response = client.chat.completions.create(
    model="gpt-5",
    messages=[
        {"role": "user", "content": "Hello, world!"}
    ]
)


cURL


curl https://ai.megallm.io/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $YOUR_API_KEY" \
  -d '{
    "model": "gpt-5",
    "messages": [
      {"role": "user", "content": "Hello, world!"}
    ]
  }'


Java


import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://ai.megallm.io/v1',
  apiKey: process.env.YOUR_API_KEY
});

const response = await client.chat.completions.create({
  model: 'gpt-5',
  messages: [
    { role: 'user', content: 'Hello, world!' }
  ]
});