YepAPI
AI Models

Qwen 3.5 Flash

Alibaba's fast inference model. Optimized for speed with a 1M context window at an ultra-low price.

POST/v1/ai/chat
$0.01/call

Overview

Alibaba's fast inference model. Optimized for speed with a 1M context window at an ultra-low price.

PropertyValue
Model IDqwen/qwen3.5-flash-02-23
Context Window1,000,000 tokens
Max Output8,192 tokens
Input Price$0.065 / 1M tokens
Output Price$0.26 / 1M tokens

Usage

const res = await fetch('https://api.yepapi.com/v1/ai/chat', {
  method: 'POST',
  headers: {
    'x-api-key': 'YOUR_API_KEY',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    model: 'qwen/qwen3.5-flash-02-23',
    messages: [{ role: 'user', content: 'Summarize this paragraph in one sentence: \'Machine learning is a subset of AI that enables systems to learn from data without explicit programming.\'' }],
  }),
});
const { data } = await res.json();
console.log(data.message.content);
curl -X POST https://api.yepapi.com/v1/ai/chat \
  -H "x-api-key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "qwen/qwen3.5-flash-02-23", "messages": [{"role": "user", "content": "Summarize this paragraph in one sentence: \"Machine learning is a subset of AI that enables systems to learn from data without explicit programming.\""}]}'

Request Body

ParameterTypeRequiredDescriptionDefault
modelstringYesModel ID (e.g. qwen/qwen3.5-flash-02-23)
messagesMessage[]YesArray of { role, content } objects
maxTokensnumberNoMaximum tokens in the responseModel default
temperaturenumberNoSampling temperature (0.0–2.0)1.0
topPnumberNoNucleus sampling threshold1.0
frequencyPenaltynumberNoPenalize repeated tokens0
presencePenaltynumberNoPenalize tokens already present0
streambooleanNoEnable SSE streamingfalse
Info

All AI models use the /v1/ai/chat endpoint. Specify the model with the model field.

Response

{
  "ok": true,
  "data": {
    "model": "qwen/qwen3.5-flash-02-23",
    "message": {
      "role": "assistant",
      "content": "Machine learning is an AI discipline where systems automatically improve their performance by learning patterns from data."
    },
    "usage": {
      "promptTokens": 32,
      "completionTokens": 18,
      "totalTokens": 50
    }
  }
}

Streaming

Set "stream": true to receive Server-Sent Events. Each chunk contains a delta object:

data: {"delta":{"content":"Machine"},"model":"qwen/qwen3.5-flash-02-23","index":0}
data: [DONE]
Under the Hood

We handle auth, billing, and response normalization — you just send messages.

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