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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

Side by side

GLM 4.7 Original compared

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

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GLM 4.7 OriginalZ.aiThis modelGLM 4.7 Original ThinkingZ.aiRemove
ProviderZ.aiZ.ai
Discovery tierOpen weightsOpen weights
AddedDec 22, 2025Dec 22, 2025
Limits
Context window200K200K
Max output65.54K65.54K
Average output562 tokens1.9K tokens
Pricing, USD per 1M tokens
Input$0.40$0.40
Output$1.93$1.93
Cache read$0.0801$0.0801
Performance
Throughput78.1 tok/sBest38.8 tok/s
Time to first token2.8 s2.3 sBest
Request success (24h)99.8%100.0%Best
Benchmark indexes
Intelligence Index17.422.2Best
Coding Index—45.3
Math Index48.095.0Best
Capabilities
ReasoningYesYes
ToolsYesYes
Structured outputYesYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • GLM 4.7 Original
  • GLM 4.7 Original Thinking

Intelligence Index

  • GLM 4.7 Original17.4
  • GLM 4.7 Original Thinking22.2

GLM 4.7 Original: Better than 46% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • GLM 4.7 Original: —
    • GLM 4.7 Original Thinking: 45.3

  • Math Index

    Composite of the math evaluations

    • GLM 4.7 Original: 48.0
    • GLM 4.7 Original Thinking: 95.0Top

Agentic work

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • GLM 4.7 Original: —
    • GLM 4.7 Original Thinking: 1,013 Elo

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • GLM 4.7 Original: 40.7%
    • GLM 4.7 Original Thinking: 71.0%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • GLM 4.7 Original: 6.4%
    • GLM 4.7 Original Thinking: 27.4%Top

  • GPQA Diamond

    Graduate-level science questions

    • GLM 4.7 Original: 66.4%
    • GLM 4.7 Original Thinking: 85.9%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • GLM 4.7 Original: 79.4%
    • GLM 4.7 Original Thinking: 85.6%Top

  • IFBench

    Following precise output instructions

    • GLM 4.7 Original: 54.6%
    • GLM 4.7 Original Thinking: 67.9%Top

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • GLM 4.7 Original: 56.2%
    • GLM 4.7 Original Thinking: 89.4%Top

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • GLM 4.7 Original: 48.0%
    • GLM 4.7 Original Thinking: 95.0%Top

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • GLM 4.7 Original: 30.3%
    • GLM 4.7 Original Thinking: 31.8%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • GLM 4.7 Original: 94.2%
    • GLM 4.7 Original Thinking: 95.9%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • GLM 4.7 Original: 40.7%
    • GLM 4.7 Original Thinking: 71.0%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.

Throughput
78.1 tok/s
Faster than 52% of 258 models
Time to first token
2.8 s
Quicker than 60% of 258 models
Prompt cache hits
56.4%
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)

Z.ai

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