GLM-5.3 Flash / Chat
Z.ai's native multimodal model (320B-A18B) with text, image, video, and file input. Features hybrid sparse + linear attention, reducing attention compute 3x and KV cache 4.4x vs. GLM-5.3. Scores 57 on Artificial Analysis Intelligence Index—matching Claude Opus 4.8—with 1M context and 128K max output. Excels in agentic coding, vision-based Computer Use, and CAD reproduction
Playground Chat
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GLM-5.3 FlashSame Ladder, Lower Latency
GLM-5.3 Flash keeps the seven-level reasoning ladder and clear_thinking traces while optimizing for faster first tokens — ideal for interactive analysis surfaces.
At a Glance
Flash Reasoning Stack
Frontier controls at interactive speed.
Same Seven-Level Ladder
none through max remain available so you can escalate depth only when needed.
Low First-Token Latency
Optimized path for chat UIs that must paint tokens immediately.
clear_thinking on Demand
Inspect intermediate reasoning when you need auditability without always paying for full traces.
Production Sampling
Temperature, top-p, max tokens, and stop sequences match the GLM-5.3 surface.
How It Works
Fast reasoned chat in four steps.
Pick a Starting Effort
Begin at Medium or High; escalate to Max only for hard turns.
Stream Immediately
Keep streaming on so the UI paints tokens as they arrive.
Toggle Traces
Enable clear_thinking when you need to inspect reasoning.
Sample for Tone
Use temperature and top-p to match brand voice.
Flash Domains
Where perceived speed is part of the product.
Live Analysis Chat
Streaming answers for dashboards and ops consoles.
Interactive Coding
Fast reasoned replies inside editors.
Support Assistants
Reasoned but responsive customer-facing chat.
Research Side Panels
Escalate to higher effort only for hard sub-questions.
Prompt Tips
Keep Flash fast and useful.
Medium effort is a strong default. Reserve Max for multi-step proofs.
Long policies slow Flash and can reduce instruction following.
Escalate a single hard sub-question rather than the whole conversation to Max.
GLM-5.3 Flash Quickstart
Low-latency frontier reasoning.
curl -X POST "https://api.powertokens.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": "Summarize this incident report and list three root-cause hypotheses."}
],
"stream": true,
"temperature": 0.7
}'Technical Specifications
Confirmed parameters and runtime execution protocols.
Preisdetails
Die tatsächliche Abrechnung für dieses Modell wird dynamisch basierend auf den spezifischen Parametern Ihrer API-Anfrage berechnet. Nachfolgend finden Sie die spezifischen Kombinationen und ihre entsprechenden Preise:
| Modalität | Eingabe-Guthaben | Ausgabe-Guthaben | Eingabepreis | Ausgabepreis | Impliziter Cache-Treffer | Expliziter Cache-Treffer | Cache-Erstellung |
|---|---|---|---|---|---|---|---|
| Standard | 150/ 1M Tokens | 500/ 1M Tokens | $0.150 | $0.500 | $0.030 30/ 1M Tokens | $0.030 30/ 1M Tokens | -- |
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Frequently Asked Questions
Everything you need to know before integrating this model.
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