Run Gemma 4 26B A4B Cybersecurity without a GPU.
Security by Google (community tune), on UncensoredLLM as gemma-4-26b-a4b-it-cybersecurity.
Gemma 4 26B A4B Cybersecurity is a security build. It costs $0.4224 per million input tokens and $1.3376 per million output tokens, prepaid, with a 262,144-token context window. Call it at https://api.uncensoredllm.ai/v1/chat/completions with model "gemma-4-26b-a4b-it-cybersecurity" and an UncensoredLLM key, from any OpenAI SDK or client that takes a base URL.
Price per million tokens
- Input
- $0.4224
- Output
- $1.3376
- Daily check
- Steady since Oct 29
- As of
- 2026-11-09
First request
curl https://api.uncensoredllm.ai/v1/chat/completions \ -H "Authorization: Bearer sk-ullm-live-…" \ -H "Content-Type: application/json" \ -d '{"model": "gemma-4-26b-a4b-it-cybersecurity", "messages": [{"role": "user", "content": "Hello"}]}'Gemma 4 26B A4B Cybersecurity settings for OpenCode and Cline
- Provider
- OpenAI-compatible
- Base URL
- https://api.uncensoredllm.ai/v1
- Model
- gemma-4-26b-a4b-it-cybersecurity
- Context window
- 262,144 tokens
- Key prefix
- sk-ullm-
Gemma 4 26B A4B Cybersecurity specs
- Kind
- Security
- Developer
- Google (community tune)
- Base model
- Gemma 4 26B-A4B
- Context window
- 262,144 tokens
- Wire formats
- openai
Get a key
- Create a key in the console. Credit is prepaid from $10, with no subscription.
- Set OPENAI_BASE_URL to https://api.uncensoredllm.ai/v1 and send your sk-ullm- key as the bearer token.
- Send gemma-4-26b-a4b-it-cybersecurity as the model. The same key calls every model on UncensoredLLM.
What Gemma 4 26B A4B Cybersecurity is
- Developer
- Google (community tune)
- Weights
- not published for this build
- Context window here
- 262,144 tokens
From the SDK
from openai import OpenAI client = OpenAI(base_url="https://api.uncensoredllm.ai/v1", api_key="sk-ullm-live-…") completion = client.chat.completions.create( model="gemma-4-26b-a4b-it-cybersecurity", messages=[{"role": "user", "content": "Hello"}],)print(completion.choices[0].message.content)import OpenAI from 'openai'; const client = new OpenAI({ baseURL: 'https://api.uncensoredllm.ai/v1', apiKey: 'sk-ullm-live-…' }); const completion = await client.chat.completions.create({ model: 'gemma-4-26b-a4b-it-cybersecurity', messages: [{ role: 'user', content: 'Hello' }],});console.log(completion.choices[0].message.content);What Gemma 4 26B A4B Cybersecurity answers
Gemma 4 26B A4B Cybersecurity is set up for security work: it answers offensive-security, malware-analysis and red-team questions the stock models refuse. Use it under the acceptable-use terms.
Every request is routed to the build’s live route and settled to the token at the prices above. The daily real-model check sends a fixed prompt to every model and records whether the answer still matches; this model’s verdict today is “Steady since Oct 29”.
Use it from the OpenAI SDK, from SillyTavern or Janitor, or from a coding agent. Keys and top-ups live in the console.
Also try
More from Google (community tune)
What Gemma 4 26B A4B Cybersecurity costs, worked
A chat turn of 2,000 input and 500 output tokens at $0.4224 input and $1.3376 output per million tokens is $0.0015; 1,000 turns are $1.51. A long chat session of 100 replies of 300 tokens costs $0.2091 at 4,000 tokens of context and $0.716 at 16,000: every message resends the context, so size it to what the chat needs. All from prepaid credit, no subscription.
| Security builds | Context | In / out per 1M | 1,000 chat turns |
|---|---|---|---|
| Gemma 4 26B A4B Cybersecurity | 262K | $0.4224 / $1.3376 | $1.51 |
| GLM-5.3 Flash Cybersecurity | 1049K | $0.5093 / $1.6975 | $1.87 |
| Qwen3.8 27B Cybersecurity | 262K | $0.40 / $2.40 | $2.00 |
| Red Team (Flash) | — | $0.90 / $3.00 | $3.30 |
| Red Team (Pro) | — | $1.50 / $6.00 | $6.00 |
| OrcaCyber MiniMax M3.1 Flash | 262K | $2.00 / $4.00 | $6.00 |
| OrcaCyber MiniMax M3.1 Flash | 262K | $2.00 / $4.00 | $6.00 |
| OrcaCyber Qwen3.8 Flash Next | 262K | $2.00 / $4.00 | $6.00 |
| OrcaCyber Qwen3.8 Flash Next | 262K | $2.00 / $4.00 | $6.00 |
| CyberHeabsy | 1049K | $5.25 / $15.75 | $18.38 |
| OrcaCyber Zero 1.5 | 999K | $7.50 / $18.75 | $24.38 |
Gemma 4 26B A4B Cybersecurity in OpenCode and Cline: what to set
The three fields are the base URL, the key and the model id, as in the settings above. What differs by build is the reply length, the reasoning switch and the context size, and those decide both whether a reply arrives whole and what each message costs.
- Context Size up to 262,144 tokens, the window the catalog lists for gemma-4-26b-a4b-it-cybersecurity. Every message resends the context, so set it to what the chat needs rather than the maximum.
- No jailbreak preamble is needed and none should be sent: a preamble is resent and billed on every message, and this build answers without one.
A request that fails before the model answers is not billed. A refusal written as ordinary text is billed like any answer, which is the reason to send this build rather than a stock model with a preamble.
What Gemma 4 26B A4B Cybersecurity costs by client
| Session | What is sent | At the live price |
|---|---|---|
| SillyTavern or Janitor AI, one evening | 100 replies of 300 tokens on 4,000 tokens of context | $0.2091 |
| The same evening on a long chat | 100 replies of 300 tokens on 16,000 tokens of context | $0.716 |
| A month of short turns | 1,000 turns of 2,000 input and 500 output tokens | $1.5136 |
| A coding day in OpenCode or Cline | 40 requests of 6,000 input and 1,200 output tokens | $0.1656 |
| One long document, summarised once | 100,000 input and 1,000 output tokens in one request | $0.0436 |
Gemma 4 26B A4B Cybersecurity questions
Gemma 4 26B A4B Cybersecurity is a security build of Gemma 4 26B-A4B from Google (community tune), with a 262,144-token context window. On UncensoredLLM it answers as gemma-4-26b-a4b-it-cybersecurity.
No. Credit is prepaid from $10 and billed per token: input $0.4224 and output $1.3376 per million tokens.
About $0.0011 for 1,000 tokens in and 500 tokens out, at $0.4224 in and $1.3376 out per million tokens.
Up to 262,144 tokens, the context window the catalog lists for Gemma 4 26B A4B Cybersecurity.
Yes. Send gemma-4-26b-a4b-it-cybersecurity as the model through the OpenAI SDK, or any client that takes a custom OpenAI base URL, with base URL https://api.uncensoredllm.ai/v1.
In SillyTavern, set API to Chat Completion, Source to Custom (OpenAI-compatible) and the custom endpoint to https://api.uncensoredllm.ai/v1, paste your key, then pick gemma-4-26b-a4b-it-cybersecurity from the list it loads. In Janitor AI, choose Proxy, set the URL to https://api.uncensoredllm.ai/v1/chat/completions, paste your key and type gemma-4-26b-a4b-it-cybersecurity as the model. See the docs.
Yes. The daily real-model check sends every model the same fixed prompt and records whether the answer still matches. Gemma 4 26B A4B Cybersecurity’s latest result, from Nov 9: steady since Oct 29. See the daily check.
Gemma 4 26B A4B Cybersecurity is named for Gemma 4 26B-A4B, from Google (community tune). No weights, parameter count or training notes are published for this build. The catalog lists a 262,144-token context window.
$0.1514 for 100 chat turns of 2,000 input and 500 output tokens each, at $0.4224 input and $1.3376 output per million tokens, from prepaid credit with no subscription.