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Z.ai · Open weights

GLM 4.7 Original Thinking

Added Dec 22, 2025Open weights

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Use in the app

GLM-4.7 original with extended thinking capabilities for complex reasoning.

  • 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)
1.9K tokens
Longer than 90% of 465 models

Side by side

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Public evaluations

Benchmarks

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

Intelligence Index

22.2

Better than 53% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    45.3

    Composite of the coding evaluations

    Better than 38% of 168 scored models

  • Math Index

    95.0

    Composite of the math evaluations

    Better than 96% of 118 scored models

Agentic work

  • GDPval-AAv2.1

    1,013 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 37% of 187 scored models

Document reasoning

  • AA-LCRv1.1

    71.0%

    Reasoning across long documents

    Better than 52% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    27.4%

    Expert-level questions across academic fields

    Better than 57% of 323 scored models

  • GPQA Diamond

    85.9%

    Graduate-level science questions

    Better than 63% of 291 scored models

  • MMLU-Pro

    85.6%

    Multi-subject knowledge and reasoning

    Better than 89% of 132 scored models

  • IFBench

    67.9%

    Following precise output instructions

    Better than 66% of 215 scored models

Coding

  • LiveCodeBench

    89.4%

    Recent competitive programming problems

    Better than 98% of 129 scored models

Math

  • AIME 2025

    95.0%

    Competition mathematics, 2025 problems

    Better than 96% of 118 scored models

Legacy evaluations

  • Terminal-Bench Hard

    31.8%

    Earlier terminal task suite

    Better than 58% of 212 scored models

  • τ²-Bench Telecom

    95.9%

    Tool use in a customer-support simulation

    Better than 90% of 214 scored models

  • AA-LCR (unversioned)

    71.0%

    Long-context reasoning, earlier grading

    Better than 52% 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
32.8 tok/s
Faster than 22% of 250 models
Time to first token
8.4 s
Quicker than 14% of 250 models
Prompt cache hits
39.7%
About $0.27 per 1M input tokens with caching
Request success (24h)
100.0%
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 94.1%
  • 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:thinking",
    "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:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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