supported
Only provider-documented reasoning controls are shown; missing controls remain unpublished rather than inferred.
MODEL REFERENCE / OPENAI
OpenAI's purpose-trained cybersecurity model for approved defenders conducting authorized vulnerability research, exploit validation, and advanced security testing.
PRIMARY-SOURCE VERIFIED
OpenAI documents a 400,000-token context window. Input modalities: text + image. Output: text. Pricing status: Official paid API.
CAPABILITY CONTRACT
Only provider-documented reasoning controls are shown; missing controls remain unpublished rather than inferred.
Input modalities come from the cited official model documentation.
Output modality and output-limit claims remain separate so an undocumented token cap is not guessed.
PRICING STATUS
$12.50 input · $1.25 cached · $75.00 output per 1 million tokens.
SXF preserves the provider-published native billing basis. Only calculator-eligible generative token models enter token-cost arithmetic; specialist units and input-only embeddings remain visible without forced conversion.
CAVEATS
GPT-5.6 Cyber requires separate Daybreak Red approval and project provisioning; general API access is not implied.
OpenAI publishes short-context Standard rates of $12.50 input, $1.25 cached input, $15.625 cache write, and $75 output per 1M tokens.
The model page states requests above 272K input tokens receive higher pricing, while the public Cyber pricing table does not publish a complete long-context rate row for GPT-5.6 Cyber. Calculator eligibility is therefore disabled to avoid underpricing long-context requests.
EXPLORE
OFFICIAL SOURCES
WHAT CHANGED
No post-baseline factual changes recorded for GPT-5.6 Cyber since 2026-10-06.
VERIFIED CHANGE HISTORY
Baseline verified: 400,000 context · 128,000 max output · $12.50 input / $1.25 cached / $75.00 output per 1 million tokens
Official evidence ↗Append-only SXF ledger · 1 verified event · chain head a81376cb9fe2…