New release · Jun 2026
GLM-5.2
Z.AI’s next-gen model for agentic engineering — stronger coding and agentic capabilities with sustained execution on long-horizon tasks.
By Z.AI · Large language · MIT
Model details
Specs & substance
Spec sheet
Developed byZ.AI
Model familyGLM
Use caseLarge language
ModalityLLM
Context window1M tokens
ArchitectureMoE + DSA
Version5.2
LicenseMIT
Pricing$1.40 in$4.40 out · $0.26 cache
ReleasedJun 2026
GLM-5.2 is Z.AI’s next-generation model for agentic engineering, designed to sustain autonomous execution across hours-long tasks. Its MoE + DSA architecture supports a 1M context window for long-horizon coding workflows that require continuous iteration at production scale.
Parasail serves GLM-5.2 on a global fleet of current-gen GPUs behind a single OpenAI-compatible endpoint — with per-token pricing, no minimums, and dedicated capacity options when you need guaranteed throughput.
Integrate
Drop-in via the OpenAI SDK
Point any OpenAI-compatible client at Parasail and change the model name. That's it.
pythonparasail · GLM-5.2
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.parasail.io/v1"
)
response = client.chat.completions.create(
model="zai-org/GLM-5.2",
messages=[
{"role": "user", "content": "Implement Hello World in Python"}
],
stream=True,
stream_options={"include_usage": True},
top_p=1,
max_tokens=1000,
temperature=1
)
for chunk in response:
if chunk.choices and chunk.choices[0].delta.content is not None:
print(chunk.choices[0].delta.content, end="", flush=True)bashparasail · GLM-5.2
curl https://api.parasail.io/v1/chat/completions \
-H "Authorization: Bearer $PARASAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "zai-org/GLM-5.2",
"messages": [{"role": "user", "content": "Implement Hello World in Python"}],
"stream": true,
"max_tokens": 1000
}'jsonparasail · GLM-5.2
{
"id": "chatcmpl-143",
"object": "chat.completion",
"created": 1741224586,
"model": "zai-org/GLM-5.2",
"choices": [
{
"index": 0,
"finish_reason": "stop",
"message": {
"role": "assistant",
"content": "print(\"Hello, World!\")"
}
}
],
"usage": {
"prompt_tokens": 38,
"completion_tokens": 12,
"total_tokens": 50
}
}More models