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 468 models

Side by side

GLM 5.3 Flash Cybersecurity compared

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

Limits
	GLM 5.3 Flash CybersecurityZ.aiThis model	Qwen3.8 27BQwenRemove
Provider	Z.ai	Qwen
Discovery tier	Open weights	Open weights
Added	Sep 19, 2026	Aug 16, 2026
Context window	1.05M	1.05M
Max output	32.77K	32.77K
Average output	417 tokens	—
Pricing, USD per 1M tokens
Input	$0.15	$0.15
Output	$0.50Best	$0.70
Cache read	$0.075	$0.04Best
Performance
Throughput	13.3 tok/s	—
Time to first token	6.7 s	—
Request success (24h)	96.1%	99.9%Best
Capabilities
Reasoning	Yes	Yes
Tools	Yes	Yes
Vision	Yes	Yes
Structured output	No	Yes
Video input	No	Yes
Reasoning effort	low, high, max	—

Public evaluations

Benchmarks

There are no public benchmark results for these models 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 4% of 254 models
Time to first token: 6.7 s; Quicker than 23% of 254 models
Prompt cache hits: 93.5%; About $0.0798 per 1M input tokens with caching
Request success (24h): 96.1%; 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)

Z.ai

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