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Z.ai · Open weights

GLM 5 Original

Added Feb 11, 2026Open weights

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Use in the app

GLM-5 is a capable open-weight model from Zhipu with advanced reasoning and instruction following. This Original variant uses the model maker's direct endpoint.

  • Reasoning
  • Tools
  • Structured output
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.60
Output
$1.90
Cache read
$0.10

Reference prices as published by the model provider. API example

Specifications

Context window
200K
Max output
128K
Average output (7 days)
250 tokens
Longer than 26% of 468 models

Side by side

GLM 5 Original compared

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

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GLM 5 OriginalZ.aiThis modelGLM 4.6 OriginalZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierOpen weightsOpen weights
AddedFeb 11, 2026Dec 11, 2025
Limits
Context window200K256KBest
Max output128KBest65.54K
Average output250 tokens1.3K tokens
Pricing, USD per 1M tokens
Input$0.60$0.50Best
Output$1.90Best$2.00
Cache read$0.10$0.10
Performance
Request success (24h)99.7%Best99.5%
Benchmark indexes
Intelligence Index27.9Best14.9
Math Index—44.3
Capabilities
ReasoningYesYes
ToolsYesYes
Structured outputYesNo
Reasoning effort——

Public evaluations

Benchmarks

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

  • GLM 5 Original
  • GLM 4.6 Original

Intelligence Index

  • GLM 5 Original27.9
  • GLM 4.6 Original14.9

GLM 5 Original: Better than 69% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • GLM 5 Original: —
    • GLM 4.6 Original: 44.3

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 5 Original: 75.7%Top
    • GLM 4.6 Original: 26.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 5 Original: 29.3%Top
    • GLM 4.6 Original: 5.5%

  • GPQA Diamond

    Graduate-level science questions

    • GLM 5 Original: 82.0%Top
    • GLM 4.6 Original: 63.2%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 5 Original: —
    • GLM 4.6 Original: 78.4%

  • IFBench

    Following precise output instructions

    • GLM 5 Original: 72.3%Top
    • GLM 4.6 Original: 36.7%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 5 Original: —
    • GLM 4.6 Original: 56.1%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 5 Original: —
    • GLM 4.6 Original: 44.3%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 5 Original: 43.2%Top
    • GLM 4.6 Original: 28.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 5 Original: 98.2%Top
    • GLM 4.6 Original: 76.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 5 Original: 75.7%Top
    • GLM 4.6 Original: 26.3%

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.

Prompt cache hits
72.4%
About $0.24 per 1M input tokens with caching
Request success (24h)
99.7%
Reliable

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.

Hourly request success · last 72 hoursLowest hour 95.3%
  • 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": "z-ai/glm-5-original",
    "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="z-ai/glm-5-original",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

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