NOUMENOpen app
NOUMEN

Z.ai · Open weights

Apex Flash 1 Abliterated

Added Oct 5, 2026Open weights

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

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

Apex Flash 1 Abliterated compared

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

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Apex Flash 1 AbliteratedZ.aiThis modelGemma 4 31B IT TEEGoogleRemove
ProviderZ.aiGoogle
Discovery tierOpen weightsOpen weights
AddedOct 5, 2026May 26, 2026
Limits
Context window1.05MBest262.14K
Max output32.77K262.14KBest
Average output629 tokens269 tokens
Pricing, USD per 1M tokens
Input$0.15$0.15
Output$0.50$0.46Best
Cache read$0.075—
Performance
Throughput13.2 tok/s53.0 tok/sBest
Time to first token5.2 sBest5.4 s
Request success (24h)92.8%99.8%Best
Benchmark indexes
Intelligence Index—14.7
Coding Index—43.4
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesNo
Reasoning effortlow, high, max—

Public evaluations

Benchmarks

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

  • Apex Flash 1 Abliterated
  • Gemma 4 31B IT TEE

Intelligence Index

  • Apex Flash 1 Abliterated—
  • Gemma 4 31B IT TEE14.7
3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 43.4

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 4.9%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 0.5%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 368 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 619 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 6.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 69.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 23.6%

  • GPQA Diamond

    Graduate-level science questions

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 85.7%

  • IFBench

    Following precise output instructions

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 75.6%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 0.0%

  • SciCode

    Scientific computing in Python

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 45.5%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 36.4%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 59.9%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Apex Flash 1 Abliterated: —
    • Gemma 4 31B IT TEE: 69.7%

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
13.2 tok/s
Faster than 2% of 251 models
Time to first token
5.2 s
Quicker than 32% of 251 models
Prompt cache hits
91.2%
About $0.0816 per 1M input tokens with caching
Request success (24h)
92.8%
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)

Z.ai

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