GLM-4.7 Flash / Chat
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning, and tool collaboration, and has achieved leading performance among open-source models of the same size on several current public benchmark leaderboards.
Playground Chat
Starten Sie eine Unterhaltung mit dem KI-Modell. Sie können alles fragen.
KI-generierte Antworten können in der Genauigkeit variieren.
GLM-4.7 FlashLow-Latency Thinking Chat
GLM-4.7 Flash keeps the GLM-4.7 thinking and trace surface while optimizing for faster first tokens on interactive product surfaces.
At a Glance
GLM-4.7 Flash Capabilities
Interactive speed with the same control surface.
Thinking Toggle
Enable or disable deep thinking depending on whether the turn needs reasoning.
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.
Production Sampling
Temperature, top-p, max tokens, and stop sequences match GLM-4.7.
How It Works
Fast thinking chat path.
Decide Thinking
Leave thinking on for reasoned turns; disable for speed.
Stream Tokens
Consume SSE for immediate UI paint.
Constrain Output
Use stop sequences and max tokens for parsers.
Sample Tone
Tune temperature and top-p for brand voice.
Flash Product Domains
Where perceived speed is part of the product.
Live Chat Support
Streaming replies for customer widgets.
Inline Assist
Fast completions with optional thinking.
Search Q&A
Quick answers over retrieved context.
Ops Consoles
Responsive analysis for on-call dashboards.
Prompt Tips
Keep Flash fast and useful.
Turn thinking off for classification, rewrites, and short factual answers.
Long policies slow Flash and can reduce instruction following.
Escalate complex analysis to GLM-5.2 or GLM-5.3.
GLM-4.7 Flash Quickstart
Low-latency thinking chat.
curl -X POST "https://api.powertokens.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-4.7-flash",
"messages": [
{"role": "user", "content": "Rewrite this product blurb in a friendlier tone."}
],
"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 | 0/ 1M Tokens | 0/ 1M Tokens | $0.000 | $0.000 | -- | -- | -- |
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Frequently Asked Questions
Everything you need to know before integrating this model.
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