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GLM 5.2 Thinking TEE

Added Jun 16, 2026Open weights

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GLM-5.2 with thinking enabled for harder long-horizon coding, autonomous agent workflows, and complex engineering tasks. Running inside a TEE (Trusted Execution Environment), with attestation support.

  • Reasoning
  • Tools
  • Structured output
Input
Text
Output
Text
Reasoning effort
low · medium · high · xhigh · max
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)
2K tokens
Longer than 92% of 465 models

Side by side

GLM 5.2 Thinking TEE compared

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

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GLM 5.2 Thinking TEEZ.aiThis modelGemini 3.6 FlashGoogleRemove
ProviderZ.aiGoogle
Discovery tierOpen weightsEfficient
AddedJun 16, 2026Jul 21, 2026
Limits
Context window1.05M1.05M
Max output131.07KBest65.54K
Average output2K tokens932 tokens
Pricing, USD per 1M tokens
Input$1.40$0.75Best
Output$4.40$3.75Best
Cache read$0.70$0.075Best
Cache write—$0.0417
Performance
Throughput—303.2 tok/s
Time to first token—8.9 s
Request success (24h)87.5%99.5%Best
Benchmark indexes
Intelligence Index33.734.0Best
Coding Index68.869.2Best
Capabilities
ReasoningYesYes
ToolsYesYes
VisionNoYes
Structured outputYesYes
PDF inputNoYes
Audio inputNoYes
Video inputNoYes
Reasoning effortlow, medium, high, xhigh, maxminimal, low, medium, high

Public evaluations

Benchmarks

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

  • GLM 5.2 Thinking TEE
  • Gemini 3.6 Flash

Intelligence Index

  • GLM 5.2 Thinking TEE33.7
  • Gemini 3.6 Flash34.0

GLM 5.2 Thinking TEE tested at max reasoning effort

GLM 5.2 Thinking TEE: Better than 76% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM 5.2 Thinking TEE: 68.8
    • Gemini 3.6 Flash: 69.2Top

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GLM 5.2 Thinking TEE: 28.4%
    • Gemini 3.6 Flash: 53.0%Top

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GLM 5.2 Thinking TEE: 6.2%
    • Gemini 3.6 Flash: 16.4%Top

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GLM 5.2 Thinking TEE: 1,227 EloTop
    • Gemini 3.6 Flash: 955 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 5.2 Thinking TEE: 1,373 EloTop
    • Gemini 3.6 Flash: 1,286 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GLM 5.2 Thinking TEE: 10.4%
    • Gemini 3.6 Flash: 17.4%Top

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 5.2 Thinking TEE: 78.3%
    • Gemini 3.6 Flash: 80.0%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • GLM 5.2 Thinking TEE: 12.8%Top
    • Gemini 3.6 Flash: 10.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 5.2 Thinking TEE: 41.1%Top
    • Gemini 3.6 Flash: 40.8%

  • GPQA Diamond

    Graduate-level science questions

    • GLM 5.2 Thinking TEE: 89.5%
    • Gemini 3.6 Flash: 92.8%Top

  • IFBench

    Following precise output instructions

    • GLM 5.2 Thinking TEE: 73.3%
    • Gemini 3.6 Flash: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GLM 5.2 Thinking TEE: 1.0%
    • Gemini 3.6 Flash: 7.1%Top

  • SciCode

    Scientific computing in Python

    • GLM 5.2 Thinking TEE: 51.2%
    • Gemini 3.6 Flash: 53.4%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 5.2 Thinking TEE: 50.8%
    • Gemini 3.6 Flash: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 5.2 Thinking TEE: 99.1%
    • Gemini 3.6 Flash: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 5.2 Thinking TEE: 78.3%
    • Gemini 3.6 Flash: 80.0%Top

Scores from Artificial Analysis, updated Oct 26, 2026. GLM 5.2 Thinking TEE was tested at max reasoning effort; compare scores measured at the same effort.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
51.5%
About $1.04 per 1M input tokens with caching
Request success (24h)
87.5%

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:thinking",
    "reasoning_effort": "medium",
    "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:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

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