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Z.ai · Open weights

GLM 4.7 Original

Added Dec 22, 2025Open weights

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Use in the app

GLM-4.7 is a next-gen GLM series text model with stronger reasoning, long-context chat, and reliable tool use. Routed directly via Z-AI (Zhipu).

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

Pricing

USD per 1M tokens
Input
$0.40
Output
$1.93
Cache read
$0.0801

Reference prices as published by the model provider. API example

Specifications

Context window
200K
Max output
65.5K
Average output (7 days)
562 tokens
Longer than 53% of 468 models

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Public evaluations

Benchmarks

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

Intelligence Index

17.4

Better than 46% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    48.0

    Composite of the math evaluations

    Better than 45% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    40.7%

    Reasoning across long documents

    Better than 18% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    6.4%

    Expert-level questions across academic fields

    Better than 22% of 323 scored models

  • GPQA Diamond

    66.4%

    Graduate-level science questions

    Better than 23% of 291 scored models

  • MMLU-Pro

    79.4%

    Multi-subject knowledge and reasoning

    Better than 47% of 132 scored models

  • IFBench

    54.6%

    Following precise output instructions

    Better than 55% of 215 scored models

Coding

  • LiveCodeBench

    56.2%

    Recent competitive programming problems

    Better than 52% of 129 scored models

Math

  • AIME 2025

    48.0%

    Competition mathematics, 2025 problems

    Better than 45% of 118 scored models

Legacy evaluations

  • Terminal-Bench Hard

    30.3%

    Earlier terminal task suite

    Better than 56% of 212 scored models

  • τ²-Bench Telecom

    94.2%

    Tool use in a customer-support simulation

    Better than 82% of 214 scored models

  • AA-LCR (unversioned)

    40.7%

    Long-context reasoning, earlier grading

    Better than 18% of 309 scored models

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.

Throughput
85.5 tok/s
Faster than 57% of 254 models
Time to first token
1.8 s
Quicker than 85% of 254 models
Prompt cache hits
55.8%
About $0.22 per 1M input tokens with caching
Request success (24h)
99.8%
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 94.8%
  • 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-4.7-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-4.7-original",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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