YepAPI
AI Models

GLM 5.3 FlashX

GLM 5.3 FlashX is the high-speed variant of Z.ai's GLM 5.3 Flash, a native multimodal model delivering inference speeds of up to 200 tokens per second on the same hybrid sparse and linear attention architecture. Z.ai GLM 5.3 Flash at 200 tok/s, with a 1M token context window.

POST/v1/ai/chat
$0.01/call

Overview

GLM 5.3 FlashX is the high-speed variant of Z.ai's GLM 5.3 Flash, a native multimodal model delivering inference speeds of up to 200 tokens per second on the same hybrid sparse and linear attention architecture. Z.ai GLM 5.3 Flash at 200 tok/s, with a 1M token context window.

PropertyValue
Model IDz-ai/glm-5.3-flashx
Context Window1,048,576 tokens
Max Output131,072 tokens
Input Price$0.55 / 1M tokens
Output Price$1.85 / 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: 'z-ai/glm-5.3-flashx',
    messages: [{ role: 'user', content: 'Stream a step-by-step explanation of how TLS 1.3 handshakes work, keeping each step to one sentence.' }],
  }),
});
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": "z-ai/glm-5.3-flashx", "messages": [{"role": "user", "content": "Stream a step-by-step explanation of how TLS 1.3 handshakes work, keeping each step to one sentence."}]}'

Request Body

ParameterTypeRequiredDescriptionDefault
modelstringYesModel ID (e.g. z-ai/glm-5.3-flashx)—
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": "z-ai/glm-5.3-flashx",
    "message": {
      "role": "assistant",
      "content": "1. The client sends its supported cipher suites and a key share. 2. The server picks a suite, returns its key share and certificate. 3. Both derive the session keys. 4. The server proves possession of its key. 5. Application data flows, encrypted, after one round trip."
    },
    "usage": {
      "promptTokens": 16,
      "completionTokens": 245,
      "totalTokens": 261
    }
  }
}

Streaming

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

data: {"delta":{"content":"Use"},"model":"z-ai/glm-5.3-flashx","index":0}
data: [DONE]
Under the Hood

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

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