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.
/v1/ai/chatOverview
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.
| Property | Value |
|---|---|
| Model ID | z-ai/glm-5.3-flashx |
| Context Window | 1,048,576 tokens |
| Max Output | 131,072 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
| Parameter | Type | Required | Description | Default |
|---|---|---|---|---|
model | string | Yes | Model ID (e.g. z-ai/glm-5.3-flashx) | — |
messages | Message[] | Yes | Array of { role, content } objects | — |
maxTokens | number | No | Maximum tokens in the response | Model default |
temperature | number | No | Sampling temperature (0.0–2.0) | 1.0 |
topP | number | No | Nucleus sampling threshold | 1.0 |
frequencyPenalty | number | No | Penalize repeated tokens | 0 |
presencePenalty | number | No | Penalize tokens already present | 0 |
stream | boolean | No | Enable SSE streaming | false |
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]We handle auth, billing, and response normalization — you just send messages.
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