OpenAI Launches GPT-5.6 Cyber: Pricing Impact

OpenAI launched GPT-5.6 Cyber on August 10 through Daybreak Red, its controlled access tier for advanced, authorized cybersecurity work. The purpose-trained model is built on GPT-5.6 Sol and is designed to find zero-day vulnerabilities, develop exploit chains, validate exploits, and reduce refusals on higher-risk dual-use tasks.

This is a frontier-model release with a published token rate, but not an unrestricted public endpoint. Approved defenders and Daybreak partners receive controlled access; ordinary customers cannot treat the model like a self-serve replacement for GPT-5.6 Sol.

The chart, calculator, and live table above read current prices from AI Pricing Guru’s maintained dataset. They separate the model-cost baseline from partner platform, services, governance, and remediation fees.

What OpenAI launched

OpenAI expanded Daybreak into two access tiers:

Route	Model access	Recommended work	Key boundary
Standard OpenAI access	GPT-5.6 Sol with production safeguards	General coding and security assistance	System and model safeguards can refuse sensitive cyber requests
Daybreak Blue	Frontier general-purpose models, including GPT-5.6 Sol	Vulnerability discovery, secure code review, malware analysis, incident response, and patch validation	Removes system-level cyber guardrails for approved defensive use, but model-level refusals remain
Daybreak Red	Purpose-trained models including GPT-5.6 Cyber	Authorized vulnerability research, exploit validation, red teaming, penetration testing, and security testing	Closely governed access for specialized dual-use work

Blue is OpenAI’s recommended starting point for most defenders. Red exists for work where Sol still refuses even after the system-level restrictions are removed.

GPT-5.6 Cyber benchmark results

OpenAI created an internal Advanced Cybersecurity Completion Rate evaluation covering exploit-chain development, authentication bypass, privilege escalation, and other advanced scenarios.

Model and access route	Requests completed
GPT-5.6 Cyber through Daybreak Red	95.0%
GPT-5.5 Cyber through Daybreak Red	57.3%
GPT-5.6 Sol through Daybreak Blue	2.0%
Standard GPT-5.6 Sol	1.5%

That is primarily a refusal-completion result, not proof that every answer was correct, safe, or operationally useful. Buyers should not read 95.0% as a vulnerability-finding accuracy score. It shows that the Cyber model responds to far more advanced requests than the general model.

OpenAI says the new model addresses researcher feedback about persistent refusals in GPT-5.5 Cyber. Independent task accuracy, false-positive rates, patch quality, and exploit validity still need evaluation inside an authorized environment.

Pricing impact

OpenAI’s developer pricing page now lists GPT-5.6 Cyber alongside GPT-5.5 Cyber and GPT-5.6 Sol. The exact current input, cached-input, cache-write, and output rates are shown in the live modules above and on the OpenAI pricing page; they are not hardcoded here because rate cards change.

The Cyber premium buys specialized behavior and a controlled access path, not merely more general intelligence. A customer invoice can also include partner software, setup, identity verification, logging, monitoring, expert review, remediation, retesting, reporting, and contractual risk. OpenAI has not published one standard Daybreak partner fee or minimum engagement.

Compare the full workflow on cost per verified and fixed vulnerability. Token cost alone ignores false positives, analyst time, accepted patches, time to remediation, and reopened findings.

Use the token calculator for model-usage scenarios, then compare the wider market through Anthropic pricing and our OpenAI API pricing guide.

What this means for security teams

Defenders with legitimate work that standard models refuse gain the most. Daybreak Blue creates a broader defensive lane; Daybreak Red gives vetted teams access to a model intentionally trained to answer requests that could be dangerous outside an authorized scope.

That capability also increases governance cost. Before using Red, define authorized assets, testing windows, prohibited actions, approval gates, data retention, logging, emergency contacts, and who may execute model-generated steps. Customers receiving Daybreak through a partner should confirm whether the partner or OpenAI controls each safeguard.

Most security queues should not default to the Cyber model. Keep ticket summaries, finding classification, ordinary code review, and low-risk remediation on a cheaper general route. Escalate only when specialized capability changes the outcome.

Practical advice

1. Start with Blue unless the task clearly requires Red’s purpose-trained behavior.
2. Ask for a quote separating model usage, platform charges, expert review, remediation, and retesting.
3. Pilot against a known vulnerability backlog and record valid findings, accepted fixes, analyst hours, and total cost.
4. Treat OpenAI’s completion-rate evaluation as an access-behavior result; run independent accuracy and safety tests.
5. Require a written authorization boundary before any exploit validation or production-system testing.

GPT-5.6 Cyber is not yet in the Cost-per-Task Labs leaderboard. A valid entry requires an approved callable route, fixed model version, usage records, and a safe task set; substituting public Sol results would test a different model.

Bottom line

GPT-5.6 Cyber materially expands what approved defenders can ask a frontier model to do. Its 95.0% internal completion rate is far above GPT-5.5 Cyber and standard Sol, while its published token price gives buyers a concrete model-cost baseline.

The safer buying pattern is tiered: ordinary models for routine security work, Daybreak Blue for broad authorized defense, and Daybreak Red only when specialized cyber behavior is necessary. Demand a controlled pilot and judge the result on fixed vulnerabilities, not requests completed.

Sources: OpenAI’s Expanding Daybreak as the Cyber Defense Window Narrows, the Daybreak partner expansion, and the official OpenAI developer pricing page. Official claims and pricing status checked August 10, 2026.