GLM-4.7-FlashX
A high-throughput, ultra-cheap Flash model from the 4.7 generation, built for volume. It is the throughput-oriented counterpart to the free GLM-4.7-Flash.
At a glance
Released
May 20, 2026
Provider
Zhipu AI
Context window
128,000 tokens
Max output
16,000 tokens
Modalities
Text → text
Knowledge cutoff
December 2025
API model ID
glm-4.7-flashxLicense
Open weights (MIT)
Pricing
Standard
Input$0.07 / 1M
Output$0.40 / 1M
A typical 1,500-token prompt with a 650-token answer costs ≈ $0.0004 on the standard tier. Run your own prompt through the calculator →
Best use cases
Large-scale extraction
Pulls structured data from documents at very low cost.
Routing
Acts as a cheap first-pass classifier in front of larger models.
Throughput jobs
Processes big batches where speed matters more than depth.
Strengths & limitations
Strengths
- Extremely low price
- High throughput
- Open weights
Limitations
- Limited reasoning depth
- Short max output
How to test it
- No-code: open chat.z.ai and pick GLM-4.7-FlashX from the model switcher — no API key needed.
- Playground: sign in to the Z.ai API console and run prompts in the workbench, then copy the generated code.
- API: create a key in the Z.ai API console and call the API (example below).
curl https://api.z.ai/api/paas/v4/chat/completions \
# OpenAI-compatible endpoint
-H "Authorization: Bearer $API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "glm-4.7-flashx",
"messages": [{"role": "user", "content": "Explain tokenization in one paragraph."}]
}'