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GLM 4 Plus 0111

Added Feb 19, 2025

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Use in the app

GLM 4 Plus 0111 is a 1M token context window model

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$10.00
Output
$10.00

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
4.1K

Side by side

GLM 4 Plus 0111 compared

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

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GLM 4 Plus 0111Z.aiThis modelGLM 5.3 TEEZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierBalancedOpen weights
AddedFeb 19, 2025Aug 31, 2026
Limits
Context window128K1.05MBest
Max output4.1K131.07KBest
Average output—1.2K tokens
Pricing, USD per 1M tokens
Input$10.00$1.40Best
Output$10.00$4.40Best
Cache read—$0.26
Performance
Throughput—38.5 tok/s
Time to first token—4.4 s
Request success (24h)—99.7%
Benchmark indexes
Intelligence Index—44.8
Coding Index—74.8
Capabilities
ReasoningNoYes
ToolsNoYes
Structured outputNoYes
Parallel toolsNoYes
Reasoning effort—low, high, max

Public evaluations

Benchmarks

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

  • GLM 4 Plus 0111
  • GLM 5.3 TEE

Intelligence Index

  • GLM 4 Plus 0111—
  • GLM 5.3 TEE44.8
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 74.8

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 62.2%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 29.4%

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 0.3%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 1,505 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 1,649 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 11.2%

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 79.7%

  • MLCR-AA

    Long-context reasoning over medical records

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 17.2%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 42.3%

  • GPQA Diamond

    Graduate-level science questions

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 91.7%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 41.9%

  • SciCode

    Scientific computing in Python

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 59.0%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4 Plus 0111: —
    • GLM 5.3 TEE: 79.7%

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

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": "glm-4-plus-0111",
    "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="glm-4-plus-0111",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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