Google · Open weights
Gemma 4 26B A4B Cybersecurity
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.
| Gemma 4 26B A4B CybersecurityGoogleThis model | Gemma 4 12B Starry OceanGoogleRemove | |
|---|---|---|
| Provider | ||
| Discovery tier | Open weights | Open weights |
| Added | Sep 19, 2026 | Oct 15, 2026 |
| Limits | ||
| Context window | 262.14KBest | 131.07K |
| Max output | 32.77K | — |
| Average output | 600 tokens | 233 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.11 | $0.05Best |
| Output | $0.33 | $0.25Best |
| Cache read | $0.0528 | $0.025Best |
| Performance | ||
| Throughput | — | 18.1 tok/s |
| Time to first token | — | 1.8 s |
| Request success (24h) | 67.6% | 99.3%Best |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | Yes |
| Reasoning effort | — | none, high |
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.
- 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.
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)Related models
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