GLM 5.3 FlashX
meldport/glm-5.3-flashxZhipu AI's GLM 5.3 FlashX is a lower-latency variant built for reasoning, coding, multilingual generation, and tool use. Supports Text, Cache.
MODEL OVERVIEW
About Zhipu AI GLM 5.3 FlashX
Zhipu AI's GLM 5.3 FlashX is a lower-latency variant built for reasoning, coding, multilingual generation, and tool use. Supports Text, Cache.
Zhipu AI positions this model as a lower-latency variant for teams that need predictable API access, explicit pricing, and provider routing through Meldport. The capability list above is the published contract for this model; verify your request shape against the quickstart before sending production traffic.
GOOD FIT FOR
- Text generation, extraction, and automation
- Tool calling and agent workflows
BEFORE YOU SHIP
- Check capabilities, context limit, and price against your workload.
- Test tool call parsing and error handling before production.
TECHNICAL SPECIFICATIONS
What this model supports
| Model ID | meldport/glm-5.3-flashx |
|---|---|
| Publisher | Zhipu AI |
| Capabilities | Text, Cache, Tools |
| Context window | 1M |
| Lifecycle | active |
| Verified | Nov 1, 2026 |
CURRENT RATES
Pricing
| Metric | Rate | Unit |
|---|---|---|
| Input | $0.185 | per million tokens |
| Output | $0.625 | per million tokens |
| Provider-reported cached input | $0.0185 | per million tokens |
| Minimum charge | $0.00001 | per request |
Provider-reported cached input tokens use the displayed rate. Every request is recorded in the wallet ledger.
QUICKSTART
Call this model
The same endpoint works from any language.
Send POST /v1/chat/completions with an API key that has inference:invoke. Use meldport/glm-5.3-flashx in the model field. Supply your conversation in messages and set stream: true for streamed output. The published context limit is 1M tokens.
This model publishes tool calling. Send function definitions in tools and return tool results in the conversation. Request fields and output limits · Streaming format · Errors and retry rules
curl https://api.meldport.com/v1/chat/completions \
-H "Authorization: Bearer $MELDPORT_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "meldport/glm-5.3-flashx",
"messages": [{"role": "user", "content": "Hello"}]
}'import os
import requests
response = requests.post(
"https://api.meldport.com/v1/chat/completions",
headers={
"Authorization": f"Bearer {os.environ['MELDPORT_API_KEY']}",
},
json={
"model": "meldport/glm-5.3-flashx",
"messages": [{"role": "user", "content": "Hello"}],
},
)
print(response.json())const response = await fetch(
"https://api.meldport.com/v1/chat/completions",
{
method: "POST",
headers: {
Authorization: "Bearer " + process.env.MELDPORT_API_KEY,
"Content-Type": "application/json",
},
body: JSON.stringify({
model: "meldport/glm-5.3-flashx",
messages: [{ role: "user", content: "Hello" }],
}),
},
);
console.log(await response.json());COMMON QUESTIONS
Frequently asked questions
What is the API model ID for GLM 5.3 FlashX?
Use meldport/glm-5.3-flashx in the model field of your API request.
Which capabilities does GLM 5.3 FlashX support?
This model currently publishes Text, Cache, Tools support through Meldport.
How is GLM 5.3 FlashX priced?
Requests are billed per token. Input costs $0.185 per million tokens and output costs $0.625 per million tokens. Provider-reported cached input tokens cost $0.0185 per million tokens; Meldport response caching is bypassed. A minimum charge of $0.00001 applies per request. Charges are deducted from your wallet balance in real time.
Which endpoint runs GLM 5.3 FlashX?
Send a request to POST https://api.meldport.com/v1/chat/completions with your Meldport API key and use meldport/glm-5.3-flashx in the model field.
What context window does GLM 5.3 FlashX support?
The published context limit is 1M tokens.