Current model · OpenAI
GPT-5.6 Cyber benchmarks, pricing and specs
GPT-5.6 Cyber is an OpenAI model released on August 10, 2026 that takes text and image input and produces text. It costs $12.50 per 1M input tokens and $75 per 1M output tokens and accepts up to 400,000 tokens of context.
- Per 1M input tokens
- $12.50Listed today
- Per 1M output tokens
- $75Listed today
- Context window
- 400K#56 of 67 current models
Data verified November 6, 2026 · Dataset 2026-11-06
Specs
Key facts
- Provider
- OpenAI
- Model family
- GPT Cyber
- Release date
- August 10, 2026
- Status
- Current
- Access
- limited access
- API model id
- gpt-5.6-cyber
- Context window
- 400,000 tokens
- Max output
- 128,000 tokens
- Input
- text, image
- Output
- text
- Task families
- text, multimodal
- Declared capabilities
- reasoning
Charts
Against every current text model
Where GPT-5.6 Cyber lands among the current models of its task, on every independent benchmark, on price and on context.
Where it stands
55 of 58 list a lower price per 1M input tokens. Each bar is the share of current models it beats.
Price and context
Price per 1M input tokens
#56of 58
$12.50 · cheaper than 4%
Price per 1M output tokens
#56of 58
$75 · cheaper than 2%
Context window
#56of 67
400K tokens · longer than 17%
Benchmarks
Independent benchmark results
Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. OpenAI's own launch figures are in the next section, because they are not measured the same way.
No independent benchmark has published a result for GPT-5.6 Cyber yet. It is still compared below on price, context and capabilities.
Provider results
Reported by OpenAI
OpenAI's own results for GPT-5.6 Cyber, beside the rivals it chose, as its table lists them. Labs pick the benchmarks and run them their own way, so compare within one table only. Internal benchmarks and other evaluators' indexes are left out.
GPT-6 Cyber launch post, November 5, 2026OpenAI · 2026-11-06
| Benchmark | GPT-6 Cyber | GPT-5.6 Cyber | GPT-6 Astra | GPT-5.6 Sol |
|---|---|---|---|---|
| ExploitGymstrict supplied-vulnerability pass@1 | 48.5% | 32.1% | 42.4% | 30.3% |
OpenAI's chart from the GPT-6 Cyber announcement. GPT-6 Astra and GPT-5.6 Sol ran with Daybreak Blue access; with its standard safeguards GPT-6 Astra refuses these tasks and scores 0%. Left out here: RemoteExploitBench and the web pentesting evaluation, which OpenAI built itself, the honeypot evaluation, where lower is better, and SRE-Bench, which is in the system card table.
Fit
Strengths, cautions and best uses
- Strengths
- OpenAI's cybersecurity model for Daybreak Red before GPT-6 Cyber, built on GPT-5.6 Sol and trained to find zero-day vulnerabilities, build exploit chains and refuse fewer dual-use security tasks
- OpenAI reports it completes 95.0% of advanced cybersecurity requests in its internal evaluation, against 1.5% for GPT-5.6 Sol and 57.3% for GPT-5.5 Cyber, and says it found two chained V8 vulnerabilities and over 400 kernel privilege-escalation flaws
- 400,000-token context window and 128,000 max output tokens, at $12.50 input, $75 output and $1.25 cached input per 1M tokens
- Cautions
- Limited access: available only to approved Daybreak Red customers
- OpenAI rates it High but not Critical in cybersecurity, and says it sometimes writes shorter, less detailed vulnerability reports than GPT-5.6 Sol
- OpenAI's newer GPT-6 Cyber (November 5, 2026) scores 48.5% on ExploitGym in OpenAI's chart, against 32.1% for this model; no independent benchmark score is recorded here
- Best for
- Daybreak Red teams that need exploit validation and security testing at a lower price than GPT-6 Cyber
From benchmark to production
Building on GPT-5.6 Cyber?
Public scores rarely hold on your own data. We test it against the alternatives on your real tasks, then build the agent or pipeline around the model that wins.
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Alternatives
Alternatives to GPT-5.6 Cyber
The closest current text models by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.
On score and price
GPT-5.6 Cyber beside the 4 alternatives listed below, on Arena Text and on blended price per 1M tokens.
Arena Text
Measured October 28, 2026, higher is better
- GPT-5.6 Cyber
- Not scored
- GPT-Rosalind-6
- Not scored
- Claude Fable 5
- 1,504
- Claude Fable 5.1
- 1,504
- GPT-6 Astra
- 1,476
Blended price per 1M tokens
Listed today, lower is better
- GPT-5.6 Cyber
- $28.13
- GPT-Rosalind-6
- $30
- Claude Fable 5
- $20
- Claude Fable 5.1
- $20
- GPT-6 Astra
- $20
GPT-Rosalind-6
- 20% more per 1M input tokens, $15 vs $12.50
Claude Fable 5
- 20% cheaper per 1M input tokens, $10 vs $12.50
- 1M context window vs 400K
- From Anthropic
Claude Fable 5.1
- 20% cheaper per 1M input tokens, $10 vs $12.50
- 1M context window vs 400K
- From Anthropic
GPT-6 Astra
- 20% cheaper per 1M input tokens, $10 vs $12.50
- 1.05M context window vs 400K
Further reading
More on GPT-5.6 Cyber
FAQ
GPT-5.6 Cyber FAQ
How much does GPT-5.6 Cyber cost?
GPT-5.6 Cyber costs $12.50 per 1M input tokens and $75 per 1M output tokens at the standard tier. It is the #3 most expensive of 58 current text models priced per 1M input tokens. Source: OpenAI, verified November 6, 2026.
What is the context window of GPT-5.6 Cyber?
GPT-5.6 Cyber accepts up to 400,000 tokens of context. It can return up to 128,000 tokens in one response. That ranks #56 of 67 current text models by context length.
What benchmark results has OpenAI published for GPT-5.6 Cyber?
In the GPT-6 Cyber launch post (November 5, 2026), OpenAI reports 32.1% on ExploitGym (strict supplied-vulnerability pass@1). These are OpenAI's own figures, beside the rivals it chose, not independent measurements.
Is GPT-5.6 Cyber open source or API only?
Neither. OpenAI offers GPT-5.6 Cyber only to organizations it approves, with no public API and no published weights; the cautions on this page say who can apply.
What are the best alternatives to GPT-5.6 Cyber?
The closest current alternatives by price and measured performance are GPT-Rosalind-6 (20% more per 1M input tokens, $15 vs $12.50), Claude Fable 5 (20% cheaper per 1M input tokens, $10 vs $12.50), Claude Fable 5.1 (20% cheaper per 1M input tokens, $10 vs $12.50) and GPT-6 Astra (20% cheaper per 1M input tokens, $10 vs $12.50).
Sources
Sources
- Expanding Daybreak as the Cyber Defense Window Narrows · OpenAI · official · verified November 6, 2026
- GPT-5.6 Cyber model · OpenAI · official · verified November 6, 2026
- GPT-6 Cyber: Advancing the frontier of aligned cybersecurity agents · OpenAI · official · verified November 6, 2026
All 255 sources behind the benchmarks, with their versions, licenses and notes, are in the source catalog.
Cite this page
Van Data Team. "GPT-5.6 Cyber Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-11-06. https://vandatateam.com/ai-model-benchmarks/gpt-5-6-cyber
Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.
Production evaluation
Deciding whether GPT-5.6 Cyber fits your workload?
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