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Gemma 4 26B A4B Cybersecurity

Added Sep 19, 2026Open weights

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Use in the app

Gemma 4 26B A4B Cybersecurity is a cybersecurity-focused variant based on the uncensored model, with provider moderation for illegal activities. It supports optional reasoning, image understanding, tool calling, and a 262,144-token context window.

  • Reasoning
  • Tools
  • Vision
Input
Text, Images
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.11
Output
$0.33
Cache read
$0.0528

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
32.8K
Average output (7 days)
600 tokens
Longer than 56% of 473 models

Side by side

Gemma 4 26B A4B Cybersecurity compared

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

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Gemma 4 26B A4B CybersecurityGoogleThis modelMythoMax 13BgrypheRemove
ProviderGooglegryphe
Discovery tierOpen weightsOpen weights
AddedSep 19, 2026Aug 8, 2025
Limits
Context window262.14KBest4.1K
Max output32.77K—
Average output600 tokens99 tokens
Pricing, USD per 1M tokens
Input$0.11$0.10Best
Output$0.33$0.10Best
Cache read$0.0528—
Performance
Request success (24h)68.0%100.0%Best
Capabilities
ReasoningYesNo
ToolsYesNo
VisionYesNo
Reasoning effort——

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.

Prompt cache hits
51.5%
About $0.0784 per 1M input tokens with caching
Request success (24h)
67.6%
Failing

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 12.5%
  • 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": "google/gemma-4-26b-a4b-it-cybersecurity",
    "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="google/gemma-4-26b-a4b-it-cybersecurity",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

Google

Other Google models, starting with the same family.