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GLM 5.1 TEE

Added Apr 20, 2026Open weights

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GLM-5.1 is Z.AI's next-gen model optimized for long-horizon agent workflows and deep reasoning. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

  • Reasoning
  • Tools
Input
Text
Output
Text
Reasoning effort
none · high
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.70
Output
$2.50
Cache read
$0.18

Reference prices as published by the model provider. API example

Specifications

Context window
202.8K
Max output
65.5K
Average output (7 days)
675 tokens
Longer than 60% of 468 models

Side by side

GLM 5.1 TEE compared

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

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GLM 5.1 TEEZ.aiThis modelGLM 5.3 ThinkingZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierOpen weightsOpen weights
AddedApr 20, 2026Aug 14, 2026
Limits
Context window202.75K1.05MBest
Max output65.54K131.07KBest
Average output675 tokens2.3K tokens
Pricing, USD per 1M tokens
Input$0.70$0.60Best
Output$2.50$1.10Best
Cache read$0.18Best$0.20
Performance
Throughput—123.3 tok/s
Time to first token—7.7 s
Request success (24h)100.0%Best99.7%
Benchmark indexes
Intelligence Index26.144.8Best
Coding Index55.874.8Best
Capabilities
ReasoningYesYes
ToolsYesYes
Structured outputNoYes
Reasoning effortnone, highhigh, max

Public evaluations

Benchmarks

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

  • GLM 5.1 TEE
  • GLM 5.3 Thinking

Intelligence Index

  • GLM 5.1 TEE26.1
  • GLM 5.3 Thinking44.8

GLM 5.1 TEE: Better than 65% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM 5.1 TEE: 55.8
    • GLM 5.3 Thinking: 74.8Top

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GLM 5.1 TEE: 20.3%
    • GLM 5.3 Thinking: 62.2%Top

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GLM 5.1 TEE: 3.0%
    • GLM 5.3 Thinking: 29.4%Top

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • GLM 5.1 TEE: —
    • GLM 5.3 Thinking: 0.3%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GLM 5.1 TEE: 964 Elo
    • GLM 5.3 Thinking: 1,505 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 5.1 TEE: 1,117 Elo
    • GLM 5.3 Thinking: 1,649 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GLM 5.1 TEE: 8.4%
    • GLM 5.3 Thinking: 11.2%Top

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 5.1 TEE: 73.7%
    • GLM 5.3 Thinking: 79.7%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • GLM 5.1 TEE: —
    • GLM 5.3 Thinking: 17.2%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 5.1 TEE: 30.1%
    • GLM 5.3 Thinking: 42.3%Top

  • GPQA Diamond

    Graduate-level science questions

    • GLM 5.1 TEE: 86.8%
    • GLM 5.3 Thinking: 91.7%Top

  • IFBench

    Following precise output instructions

    • GLM 5.1 TEE: 76.3%
    • GLM 5.3 Thinking: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GLM 5.1 TEE: 2.0%
    • GLM 5.3 Thinking: 41.9%Top

  • SciCode

    Scientific computing in Python

    • GLM 5.1 TEE: 44.8%
    • GLM 5.3 Thinking: 59.0%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 5.1 TEE: 43.2%
    • GLM 5.3 Thinking: —

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 5.1 TEE: 97.7%
    • GLM 5.3 Thinking: —

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 5.1 TEE: 73.7%
    • GLM 5.3 Thinking: 79.7%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.

Request success (24h)
100.0%
Reliable
Hourly request success · last 72 hoursLowest hour 100.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

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-5.1",
    "reasoning_effort": "none",
    "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-5.1",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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