Z.ai · Open weights

Apex Flash 1 Abliterated

Added Oct 5, 2026Open weights

Apex Flash 1 Abliterated is an experimental derivative of Cantina Security and Yeta's Apex Flash 1 with modified refusal behavior.

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): 629 tokens; Longer than 57% of 465 models

Side by side

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Public evaluations

Benchmarks

There are no public benchmark results for Apex Flash 1 Abliterated 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: 14.6 tok/s; Faster than 4% of 251 models
Time to first token: 4.0 s; Quicker than 43% of 251 models
Prompt cache hits: 90.3%; About $0.0823 per 1M input tokens with caching
Request success (24h): 92.9%; 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 46.3%

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

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