NOUMENOpen app
NOUMEN

Z.ai · Open weights

GLM 5.2 TEE

Added Jun 16, 2026Open weights

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

GLM-5.2 is Z.AI's flagship model for long-horizon tasks and autonomous workflows, with a 1M-token context window. Running inside a TEE (Trusted Execution Environment), with attestation support.

  • Reasoning
  • Tools
  • Structured output
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$1.40
Output
$4.40
Cache read
$0.70

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
131.1K
Average output (7 days)
1.5K tokens
Longer than 85% of 468 models

Side by side

GLM 5.2 TEE compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

GLM 5.2 TEEZ.aiThis modelGLM 5.2Z.aiRemove
ProviderZ.aiZ.ai
Discovery tierOpen weightsOpen weights
AddedJun 16, 2026Jun 15, 2026
Limits
Context window1.05M1.05M
Max output131.07K131.07K
Average output1.5K tokens839 tokens
Pricing, USD per 1M tokens
Input$1.40$0.42Best
Output$4.40$1.32Best
Cache read$0.70$0.078Best
Performance
Throughput—96.8 tok/s
Time to first token—1.6 s
Request success (24h)66.6%99.6%Best
Benchmark indexes
Intelligence Index22.422.4
Coding Index46.546.5
Capabilities
ReasoningYesYes
ToolsYesYes
Structured outputYesYes
Reasoning effort—none, high, max

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

  • GLM 5.2 TEE
  • GLM 5.2

Intelligence Index

  • GLM 5.2 TEE22.4
  • GLM 5.222.4

GLM 5.2 TEE: Better than 54% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM 5.2 TEE: 46.5Top
    • GLM 5.2: 46.5Top

Agentic work

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 5.2 TEE: 1,244 EloTop
    • GLM 5.2: 1,244 EloTop

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 5.2 TEE: 42.3%Top
    • GLM 5.2: 42.3%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 5.2 TEE: 9.8%Top
    • GLM 5.2: 9.8%Top

  • GPQA Diamond

    Graduate-level science questions

    • GLM 5.2 TEE: 68.6%Top
    • GLM 5.2: 68.6%Top

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 5.2 TEE: 42.3%Top
    • GLM 5.2: 42.3%Top

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Prompt cache hits
0.4%
About $1.40 per 1M input tokens with caching
Request success (24h)
66.6%

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "TEE/glm-5.2",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="TEE/glm-5.2",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

Other Z.ai models, starting with the same family.