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Z.ai · Open weights

Apex Flash 1

Added Oct 5, 2026Open weights

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Use in the app

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

Apex Flash 1 compared

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

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Apex Flash 1Z.aiThis modelNvidia Nemotron 3.5 Super VLnvidiaRemove
ProviderZ.ainvidia
Discovery tierOpen weightsOpen weights
AddedOct 5, 2026Oct 15, 2026
Limits
Context window1.05MBest262.14K
Max output32.77KBest16.38K
Average output672 tokens1.1K tokens
Pricing, USD per 1M tokens
Input$0.15$0.15
Output$0.50$0.50
Cache read$0.075$0.02Best
Performance
Throughput14.5 tok/s654.7 tok/sBest
Time to first token4.1 s1.8 sBest
Request success (24h)94.6%98.0%Best
Benchmark indexes
Intelligence Index—26.5
Capabilities
ReasoningYesYes
ToolsYesYes
VisionYesYes
Structured outputNoYes
Video inputNoYes
Reasoning effortlow, high, maxnone, medium, high

Public evaluations

Benchmarks

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

  • Apex Flash 1
  • Nvidia Nemotron 3.5 Super VL

Intelligence Index

  • Apex Flash 1—
  • Nvidia Nemotron 3.5 Super VL26.5
3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 14.8%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 2.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 999 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 1,162 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 8.0%

  • AA-LCRv1.1

    Reasoning across long documents

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 69.0%

  • MLCR-AA

    Long-context reasoning over medical records

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 13.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 30.7%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 0.0%

  • SciCode

    Scientific computing in Python

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 47.8%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Apex Flash 1: —
    • Nvidia Nemotron 3.5 Super VL: 69.0%

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
14.5 tok/s
Faster than 5% of 251 models
Time to first token
4.1 s
Quicker than 41% of 251 models
Prompt cache hits
92.3%
About $0.0807 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

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