Text Generation
GLM
GLM 5.3 Flash API
GLM 5.3 Flash: multimodal reasoning, coding and tool use with a 1M-token context window. Thinking is always enabled with low, high or max effort.
24H Status Monitor
24h success rate: 98%
Model:
Price: 0.28 credits per 1K input tokens · ≈ $0.0001-$0.0003 · 0.98 credits per 1K output tokens · ≈ $0.0005-$0.001High stability with detailed usage records on the APIAny platform.
glm-5.3-flash
55 (suggested: 2,000)
1
02
Sampling temperature.
32768
1131072
Output budget includes reasoning and final answer tokens.
Optional reasoning effort. Leave unset to use the model default. Higher effort can use more tokens and time.
USD estimate $0.0165-$0.033: highest recharge package uses $1 = 2,000 credits; entry package uses $1 = 1,000 credits.
Preview
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History
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Input
0.28 credits/1K
≈ $0.0001-$0.0003
Output
0.98 credits/1K
≈ $0.0005-$0.001
Cache
0.08 credits/1K
≈ $0.000041-$0.000081
Context
1M
Max output
131k
Pricing
Model ID
Type
Quality
Price
glm-5.3-flash
Text Generation
Input tokens
0.28 credits per 1K input tokens · ≈ $0.0001-$0.0003
glm-5.3-flash
Text Generation
Cache read tokens
0.08 credits per 1K cached input tokens · ≈ $0.000041-$0.000081
glm-5.3-flash
Text Generation
Output tokens
0.98 credits per 1K output tokens · ≈ $0.0005-$0.001
glm-5.3-flash
Text Generation
Minimum request
0.28 credits minimum · ≈ $0.0001-$0.0003
Model IDglm-5.3-flash
TypeText Generation
QualityInput tokens
Price0.28 credits per 1K input tokens · ≈ $0.0001-$0.0003
Model IDglm-5.3-flash
TypeText Generation
QualityCache read tokens
Price0.08 credits per 1K cached input tokens · ≈ $0.000041-$0.000081
Model IDglm-5.3-flash
TypeText Generation
QualityOutput tokens
Price0.98 credits per 1K output tokens · ≈ $0.0005-$0.001
Model IDglm-5.3-flash
TypeText Generation
QualityMinimum request
Price0.28 credits minimum · ≈ $0.0001-$0.0003
API Reference
Call this model through a standard REST API. Authenticate with your API key, then pick an endpoint below to see its parameters and examples.
Authentication
Every request needs a Bearer token in the Authorization header. Create an API key in the console.
Authorization: Bearer YOUR_API_KEYPOST
https://apiany.ai/v1/chat/completionsRequest parameters
| Parameter | Type | Required | Notes |
|---|---|---|---|
model | string | Required | Model identifier to invoke. Use this model's ID. |
messages | array | Required | Conversation history in OpenAI chat format (role + content). |
stream | boolean | Optional | When true, the response streams back as server-sent events. |
Request example
curl "https://apiany.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-5.3-flash",
"messages": [
{
"role": "user",
"content": "Explain one practical way to make an API more reliable."
}
],
"temperature": 1,
"max_tokens": 32768
}'Response example
{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"model": "glm-5.3-flash",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! How can I help?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 12,
"completion_tokens": 18,
"total_tokens": 30
}
}
