GPT-5.6-Cyber
Purpose-trained model for advanced cybersecurity research and vulnerability testing
Context window
1.05M
Input / 1M tokens
$12.50
Output / 1M tokens
$75.00
Provider
OpenAI
Data verified 2026-08-11
GPT-5.6-Cyber is a specialized variant of GPT-5.6 Sol trained with reduced safeguards to excel at cybersecurity tasks including vulnerability research, exploit chain development, authentication bypass, and privilege escalation. Built on the GPT-5.6 foundation, it completed 95% of advanced cybersecurity requests in testing, significantly outperforming GPT-5.6 Sol (1.5%) and earlier GPT-5.5-Cyber (57.3%).
Capability index
Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.
How to access it
Exclusive access through OpenAI's Daybreak Red program for approved defensive cybersecurity partners. Applicants must verify lawful, defensive, authorized work and undergo vetting through Daybreak Access.
Strengths
- ✓95% completion rate on advanced cybersecurity tasks
- ✓Enhanced capability for exploit chain development and validation
- ✓Ability to identify zero-day vulnerabilities in real-world software (Chrome V8, operating systems)
- ✓Superior performance on ExploitGym benchmarks vs. prior versions
Best for developers who...
When to choose it (and when not to)
Reach for GPT-5.6-Cyber when...
- →Organizations need advanced cybersecurity capabilities with reduced refusals
- →Conducting authorized vulnerability research on owned or permitted systems
- →Testing complex multi-step attack scenarios
Look elsewhere if...
- ✕General-purpose tasks (use GPT-5.6 Sol)
- ✕Exploratory security work without authorization (use Daybreak Blue tier)
- ✕If not accepted into OpenAI's restricted Daybreak Red program
How to use it
- ›Clearly specify the scope and authorization for security testing
- ›Include details of target systems and objectives for best results
- ›Use structured prompts for exploit chain development
Quickstart
Pythonfrom openai import OpenAI
client = OpenAI(api_key='your-daybreak-red-key')
response = client.chat.completions.create(
model='gpt-5.6-cyber',
messages=[{'role': 'user', 'content': 'Describe vulnerability assessment approach for authorized testing'}]
)
print(response.choices[0].message.content)Requires Daybreak Red access; standard OpenAI API patterns apply but with cyber-specific permissions
API model id: gpt-5.6-cyber
Benchmarks
| Benchmark | Score | Notes |
|---|---|---|
| Advanced Cybersecurity Task Completion | 95% | Completion rate on complex requests including exploit chains, authentication bypass, privilege escalation |
| ExploitGym | 95% | Outperforms GPT-5.6 Sol and GPT-5.5-Cyber on turning known vulnerabilities into working exploits |
| OpenAI Preparedness Framework - Cybersecurity Capability | High | Assessed as High for cybersecurity capability but below Critical threshold |
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