Z.ai · Open weights

GLM 5.3 Flash Cybersecurity

Added Sep 19, 2026Open weights

GLM 5.3 Flash Cybersecurity is a cybersecurity-focused variant based on the uncensored model, with provider moderation for illegal activities. It supports always-on reasoning, image understanding, tool calling, and a 1,048,576-token context window.

Reasoning
Tools
Vision

Input: Text, Images
Output: Text
Reasoning effort: low · high · max
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $0.15
Output: $0.50
Cache read: $0.075

Reference prices as published by the model provider. API example

Specifications

Context window: 1M
Max output: 32.8K
Average output (7 days): 417 tokens; Longer than 42% of 465 models

Side by side

Compare models

Put GLM 5.3 Flash Cybersecurity next to up to three other models. The comparison stays in the link, so you can share it.

TryNvidia Nemotron 3.5 Super VL Qwen3.8 27B Gemma 4 31B IT TEE All 3

Public evaluations

Benchmarks

There are no public benchmark results for GLM 5.3 Flash Cybersecurity yet.

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: 13.3 tok/s; Faster than 2% of 251 models
Time to first token: 4.8 s; Quicker than 36% of 251 models
Prompt cache hits: 94.4%; About $0.0792 per 1M input tokens with caching
Request success (24h): 96.2%; 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 50.9%

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-5.3-flash-cybersecurity",
    "reasoning_effort": "low",
    "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-5.3-flash-cybersecurity",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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