GLM 5.1

Zhipu's latest flagship model. Strong reasoning and multilingual capabilities with a 203K context window.

POST/v1/ai/chat

$0.01/call

Overview

Zhipu's latest flagship model. Strong reasoning and multilingual capabilities with a 203K context window.

Property	Value
Model ID	`z-ai/glm-5.1`
Context Window	203,000 tokens
Max Output	8,192 tokens
Input Price	$1.26 / 1M tokens
Output Price	$3.96 / 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-5.1',
    messages: [{ role: 'user', content: 'Explain the concept of attention mechanisms in neural networks.' }],
  }),
});
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-5.1", "messages": [{"role": "user", "content": "Explain the concept of attention mechanisms in neural networks."}]}'

Request Body

Parameter	Type	Required	Description	Default
`model`	`string`	Yes	Model ID (e.g. `z-ai/glm-5.1`)	—
`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`

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-5.1",
    "message": {
      "role": "assistant",
      "content": "Attention mechanisms allow neural networks to dynamically focus on the most relevant parts of an input sequence when producing each element of the output, computing weighted sums based on learned relevance scores."
    },
    "usage": {
      "promptTokens": 14,
      "completionTokens": 168,
      "totalTokens": 182
    }
  }
}

Streaming

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

data: {"delta":{"content":"Attention"},"model":"z-ai/glm-5.1","index":0}
data: [DONE]

Under the Hood

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