Z.ai · Open weights

Apex Flash 1

Added Oct 5, 2026Open weights

Apex Flash 1 is Cantina Security and Yeta's cybersecurity-focused post-train of GLM 5.3 Flash for code investigation and tool use.

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): 672 tokens; Longer than 59% of 465 models

Side by side

Compare models

Put Apex Flash 1 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 Apex Flash 1 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: 14.8 tok/s; Faster than 4% of 251 models
Time to first token: 5.6 s; Quicker than 27% of 251 models
Prompt cache hits: 94.8%; About $0.0789 per 1M input tokens with caching
Request success (24h): 94.6%; Unstable

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 66.6%

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

Z.ai

Other Z.ai models, starting with the same family.