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Z.ai · Open weights

GLM 4.7 Flash Thinking

Added Jan 19, 2026Open weights

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Use in the app

GLM-4.7-Flash with extended thinking capabilities for complex reasoning. Lightweight 30B model optimized for coding and agentic tasks.

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

Pricing

USD per 1M tokens
Input
$0.07
Output
$0.40
Cache read
$0.01

Reference prices as published by the model provider. API example

Specifications

Context window
200K
Max output
128K
Average output (7 days)
2.3K tokens
Longer than 93% of 465 models

Side by side

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TryDeepSeek V3.1 Terminus (Thinking)Gemma 4 31B IT TEEQwen3.6 35B A3B TEEAll 3

Public evaluations

Benchmarks

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

Intelligence Index

14.9

Better than 37% of 326 scored models

3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    41.7%

    Reasoning across long documents

    Better than 19% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    7.6%

    Expert-level questions across academic fields

    Better than 26% of 323 scored models

  • GPQA Diamond

    58.1%

    Graduate-level science questions

    Better than 16% of 291 scored models

  • IFBench

    60.8%

    Following precise output instructions

    Better than 60% of 215 scored models

Legacy evaluations

  • Terminal-Bench Hard

    22.0%

    Earlier terminal task suite

    Better than 41% of 212 scored models

  • τ²-Bench Telecom

    98.8%

    Tool use in a customer-support simulation

    Better than 99% of 214 scored models

  • AA-LCR (unversioned)

    41.7%

    Long-context reasoning, earlier grading

    Better than 19% 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
45.8 tok/s
Faster than 33% of 251 models
Time to first token
6.6 s
Quicker than 22% of 251 models
Prompt cache hits
11.0%
About $0.0634 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 100.0%
  • 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-flash: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-flash:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Z.ai

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