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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 modelReka Flash 3rekaRemove
ProviderGooglereka
Discovery tierOpen weightsOpen weights
AddedSep 19, 2026Oct 15, 2026
Limits
Context window262.14KBest65.54K
Max output32.77K65.54KBest
Average output600 tokens2.7K tokens
Pricing, USD per 1M tokens
Input$0.11$0.11Best
Output$0.33$0.21Best
Cache read$0.0528—
Performance
Request success (24h)67.6%—
Benchmark indexes
Intelligence Index—5.6
Math Index—33.7
Capabilities
ReasoningYesYes
ToolsYesNo
VisionYesNo
Structured outputNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • Gemma 4 26B A4B Cybersecurity
  • Reka Flash 3

Intelligence Index

  • Gemma 4 26B A4B Cybersecurity—
  • Reka Flash 35.6
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 33.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 0.0%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 4.4%

  • GPQA Diamond

    Graduate-level science questions

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 52.9%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 66.9%

  • IFBench

    Following precise output instructions

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 30.4%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 43.5%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 33.7%

  • AIME

    Competition mathematics

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 51.0%

  • MATH-500

    Competition math problems

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 89.3%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 0.0%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 0.0%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Gemma 4 26B A4B Cybersecurity: —
    • Reka Flash 3: 0.0%

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.

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.