Glm 5.3 Flashx
智谱 GLM 对话模型，支持中文理解、推理与工具调用。
All systems normal2 providers available
Context128K
Max output32K
$0.37/ 1M tokensInput price · by access tier0.88折$0.033/ 1M tokens2折$0.074/ 1M tokens4.5折$0.17/ 1M tokens7折$0.26/ 1M tokens$1.25/ 1M tokensOutput price · by access tier0.88折$0.11/ 1M tokens2折$0.25/ 1M tokens4.5折$0.56/ 1M tokens7折$0.88/ 1M tokensCache read$0.075/1M tokens
Cache write$0.4625/1M tokens
Capabilities
Input modality
InputText · Image
OutputText
Core capabilities
Streaming
Structured outputTool capabilities
Function callingAccess protocols
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Pricing details
| Tier | Price (input–output) | Cache read | Cache write |
|---|---|---|---|
| ≦200K | $0.37-$1.25/1M tokens | $0.075/1M tokens | $0.4625/1M tokens |
Service performance
Success rate100%Last 24 hours
First token latency1600msLast 24 hours
Quickstart
from openai import OpenAI
client = OpenAI(
base_url="https://api.apione.ai/v1",
api_key="<YOUR_API_KEY>", # 在控制台创建 API Key 后替换
)
response = client.chat.completions.create(
model="glm-5.3-flashx",
messages=[{"role": "user", "content": "用一句话介绍你自己"}],
)
print(response.choices[0].message.content)