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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 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 modelMiMo V2.5 Pro ThinkingxiaomiRemove
ProviderZ.aixiaomi
Discovery tierOpen weightsOpen weights
AddedApr 20, 2026Jun 3, 2026
Limits
Context window202.75K1.05MBest
Max output65.54K131.07KBest
Average output675 tokens1.4K tokens
Pricing, USD per 1M tokens
Input$0.70$0.44Best
Output$2.50$0.87Best
Cache read$0.18$0.0036Best
Cache write—$0.00
Performance
Throughput—26.9 tok/s
Time to first token—6.4 s
Request success (24h)100.0%Best99.9%
Benchmark indexes
Intelligence Index26.1Best26.0
Coding Index55.860.2Best
Capabilities
ReasoningYesYes
ToolsYesYes
Structured outputNoYes
Reasoning effortnone, highnone, high

Public evaluations

Benchmarks

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

  • GLM 5.1 TEE
  • MiMo V2.5 Pro Thinking

Intelligence Index

  • GLM 5.1 TEE26.1
  • MiMo V2.5 Pro Thinking26.0

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
    • MiMo V2.5 Pro Thinking: 60.2Top

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GLM 5.1 TEE: 20.3%Top
    • MiMo V2.5 Pro Thinking: 13.7%
  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GLM 5.1 TEE: 3.0%Top
    • MiMo V2.5 Pro Thinking: 2.0%
  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GLM 5.1 TEE: 964 EloTop
    • MiMo V2.5 Pro Thinking: 883 Elo
  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 5.1 TEE: 1,117 Elo
    • MiMo V2.5 Pro Thinking: 1,121 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GLM 5.1 TEE: 8.4%Top
    • MiMo V2.5 Pro Thinking: 4.0%
  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 5.1 TEE: 73.7%
    • MiMo V2.5 Pro Thinking: 79.7%Top
  • MLCR-AA

    Long-context reasoning over medical records

    • GLM 5.1 TEE: —
    • MiMo V2.5 Pro Thinking: 5.6%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 5.1 TEE: 30.1%
    • MiMo V2.5 Pro Thinking: 35.7%Top
  • GPQA Diamond

    Graduate-level science questions

    • GLM 5.1 TEE: 86.8%Top
    • MiMo V2.5 Pro Thinking: 86.6%
  • IFBench

    Following precise output instructions

    • GLM 5.1 TEE: 76.3%
    • MiMo V2.5 Pro Thinking: 79.9%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GLM 5.1 TEE: 2.0%Top
    • MiMo V2.5 Pro Thinking: 0.0%
  • SciCode

    Scientific computing in Python

    • GLM 5.1 TEE: 44.8%
    • MiMo V2.5 Pro Thinking: 50.6%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 5.1 TEE: 43.2%Top
    • MiMo V2.5 Pro Thinking: 43.2%Top
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 5.1 TEE: 97.7%Top
    • MiMo V2.5 Pro Thinking: 94.2%
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 5.1 TEE: 73.7%
    • MiMo V2.5 Pro 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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