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Current model · OpenAI

GPT-6 Cyber benchmarks, pricing and specs

GPT-6 Cyber is an OpenAI model released on November 5, 2026 that takes text and image input and produces text. It costs $20 per 1M input tokens and $100 per 1M output tokens and accepts up to 1,050,000 tokens of context.

Per 1M input tokens
$20Listed today
Per 1M output tokens
$100Listed today
Context window
1.05M#1 of 67 current models

Data verified November 6, 2026 · Dataset 2026-11-06

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Specs

Key facts

Provider
OpenAI
Model family
GPT Cyber
Release date
November 5, 2026
Status
Current
Access
limited access
API model id
gpt-6-cyber
Context window
1,050,000 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-6 Cyber lands among the current models of its task, on every independent benchmark, on price and on context.

Where it stands

57 of 58 list a lower price per 1M input tokens. Each bar is the share of current models it beats.

GPT-6 Cyber among the current text models, one row per benchmark, price and context window.

Price and context

Price per 1M input tokens

#58of 58

$20 · cheaper than 0%

Price per 1M output tokens

#58of 58

$100 · cheaper than 0%

Context window

#1of 67

1.05M tokens · longer than 85%

Price

GPT-6 Cyber pricing

It is the most expensive of 58 current text models priced per 1M input tokens.

UnitPrice (USD)TierAppliesSource
1M input tokens$20standardCurrent
1M output tokens$100standardCurrent
1M input tokens$2cachedCurrent

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-6 Cyber yet. It is still compared below on price, context and capabilities.

Provider results

Reported by OpenAI

OpenAI's own results for GPT-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 system card, November 5, 2026OpenAI · 2026-11-06

BenchmarkGPT-6 CyberGPT-6 AstraGPT-5.6 Sol
ExploitBenchmean capability score, normalized to arbitrary code execution100.0%100.0%78.5%
SEC-Bench Propass@187.0%85.4%79.1%
SRE-Benchall six objectives, pass@192.8%88.0%55.9%

OpenAI's system card results at the highest reasoning budget it tested. The GPT-6 Astra and GPT-5.6 Sol scores match the runs OpenAI's launch post labels Daybreak Blue, the access tier without their cyber guardrails. OpenAI warns that ExploitBench's historical vulnerabilities may have been seen in training. ExploitGym, where the system card gives the same scores, is in the launch post table. Left out here: evaluations OpenAI built itself (ExploitBench Internal Port, ExploitGym Hardened, ExpertSWE) and Irregular's private suites.

GPT-6 Cyber launch post, November 5, 2026OpenAI · 2026-11-06

BenchmarkGPT-6 CyberGPT-5.6 CyberGPT-6 AstraGPT-5.6 Sol
ExploitGymstrict supplied-vulnerability pass@148.5%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 authorized vulnerability research and exploit development: a variant of GPT-6 Astra trained to find and validate exploitable vulnerabilities while staying within the scope a researcher sets
  • OpenAI reports 48.5% on ExploitGym, against 32.1% for GPT-5.6 Cyber and 42.4% for GPT-6 Astra, and 92.8% on SRE-Bench reverse engineering against 88.0% for Astra
  • OpenAI says it built working exploits for 948 Linux kernel vulnerabilities, more than five times the 166 GPT-5.6 Sol managed with the same harness, and found 81 previously unknown high-severity Firefox vulnerabilities, many already fixed by Mozilla
  • 1,050,000-token context window and 128,000 max output tokens, at $20 input, $100 output and $2 cached input per 1M tokens, twice the standard rates of GPT-6 Astra
Cautions
  • Limited access: OpenAI is rolling it out through the API and Codex to select approved Daybreak Red customers first, with identity verification, single sign-on, multi-factor authentication and API IP allowlisting
  • OpenAI rates it Critical in cybersecurity under its Preparedness Framework, like GPT-6 Astra and up from High for GPT-5.6 Cyber, and adds checks that block high-risk activity against critical systems
  • It does not beat GPT-6 Astra at general coding (82.95% against 83.24% on OpenAI's internal ExpertSWE), and on Irregular's FrontierCyber it solved 90 of 288 challenges against 96 for Astra; no independent benchmark score is recorded here yet
Best for
  • Security teams approved for Daybreak Red that develop and validate exploits in authorized tests
  • Vulnerability research and patch validation across large codebases such as browsers and kernels

From benchmark to production

Building on GPT-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.

AI Model Cost AuditLaunch price $100, regular price $150What the audit includes

Alternatives

Alternatives to GPT-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-6 Cyber beside the 4 alternatives listed below, on Arena Text and on blended price per 1M tokens.

GPT-6 Cyber and its alternatives on score and price.

Arena Text

Measured October 28, 2026, higher is better

GPT-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-6 Cyber
$40
GPT-Rosalind-6
$30
Claude Fable 5
$20
Claude Fable 5.1
$20
GPT-6 Astra
$20

FAQ

GPT-6 Cyber FAQ

How much does GPT-6 Cyber cost?

GPT-6 Cyber costs $20 per 1M input tokens and $100 per 1M output tokens at the standard tier. It is the 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-6 Cyber?

GPT-6 Cyber accepts up to 1,050,000 tokens of context. It can return up to 128,000 tokens in one response. That ranks #1 of 67 current text models by context length.

What benchmark results has OpenAI published for GPT-6 Cyber?

In the GPT-6 Cyber system card (November 5, 2026), OpenAI reports 100.0% on ExploitBench (mean capability score, normalized to arbitrary code execution), 87.0% on SEC-Bench Pro (pass@1) and 92.8% on SRE-Bench (all six objectives, pass@1). These are OpenAI's own figures, beside the rivals it chose, not independent measurements.

Is GPT-6 Cyber open source or API only?

Neither. OpenAI offers GPT-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-6 Cyber?

The closest current alternatives by price and measured performance are GPT-Rosalind-6 (25% cheaper per 1M input tokens, $15 vs $20), Claude Fable 5 (50% cheaper per 1M input tokens, $10 vs $20), Claude Fable 5.1 (50% cheaper per 1M input tokens, $10 vs $20) and GPT-6 Astra (50% cheaper per 1M input tokens, $10 vs $20).

Sources

Sources

All 255 sources behind the benchmarks, with their versions, licenses and notes, are in the source catalog.

Cite this page

Van Data Team. "GPT-6 Cyber Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-11-06. https://vandatateam.com/ai-model-benchmarks/gpt-6-cyber

Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.

Production evaluation

Deciding whether GPT-6 Cyber fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls