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GLM 5.1 TEE

Added Apr 20, 2026Open weights

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Use in the app

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 465 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 modelGemini 3 Flash ThinkingGoogleRemove
ProviderZ.aiGoogle
Discovery tierOpen weightsEfficient
AddedApr 20, 2026Dec 17, 2025
Limits
Context window202.75K1.05MBest
Max output65.54K65.54KBest
Average output675 tokens1.7K tokens
Pricing, USD per 1M tokens
Input$0.70$0.50Best
Output$2.50Best$3.00
Cache read$0.18$0.05Best
Performance
Throughput—141.8 tok/s
Time to first token—6.6 s
Request success (24h)100.0%100.0%
Benchmark indexes
Intelligence Index26.126.3Best
Coding Index55.8—
Math Index—97.0
Capabilities
ReasoningYesYes
ToolsYesNo
VisionNoYes
Audio inputNoYes
Video inputNoYes
Reasoning effortnone, highminimal, low, medium, high

Public evaluations

Benchmarks

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

  • GLM 5.1 TEE
  • Gemini 3 Flash Thinking

Intelligence Index

  • GLM 5.1 TEE26.1
  • Gemini 3 Flash Thinking26.3

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
    • Gemini 3 Flash Thinking: —

  • Math Index

    Composite of the math evaluations

    • GLM 5.1 TEE: —
    • Gemini 3 Flash Thinking: 97.0

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GLM 5.1 TEE: 20.3%
    • Gemini 3 Flash Thinking: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GLM 5.1 TEE: 3.0%
    • Gemini 3 Flash Thinking: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GLM 5.1 TEE: 964 Elo
    • Gemini 3 Flash Thinking: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 5.1 TEE: 1,117 Elo
    • Gemini 3 Flash Thinking: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GLM 5.1 TEE: 8.4%
    • Gemini 3 Flash Thinking: —

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 5.1 TEE: 73.7%
    • Gemini 3 Flash Thinking: 78.0%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 5.1 TEE: 30.1%
    • Gemini 3 Flash Thinking: 36.6%Top

  • GPQA Diamond

    Graduate-level science questions

    • GLM 5.1 TEE: 86.8%
    • Gemini 3 Flash Thinking: 89.8%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 5.1 TEE: —
    • Gemini 3 Flash Thinking: 89.0%

  • IFBench

    Following precise output instructions

    • GLM 5.1 TEE: 76.3%
    • Gemini 3 Flash Thinking: 78.0%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GLM 5.1 TEE: 2.0%
    • Gemini 3 Flash Thinking: —

  • SciCode

    Scientific computing in Python

    • GLM 5.1 TEE: 44.8%
    • Gemini 3 Flash Thinking: —

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 5.1 TEE: —
    • Gemini 3 Flash Thinking: 90.8%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 5.1 TEE: —
    • Gemini 3 Flash Thinking: 97.0%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 5.1 TEE: 43.2%Top
    • Gemini 3 Flash Thinking: 38.6%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 5.1 TEE: 97.7%Top
    • Gemini 3 Flash Thinking: 80.4%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 5.1 TEE: 73.7%
    • Gemini 3 Flash Thinking: 78.0%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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