GPT-6 Cyber, launched by OpenAI on 5 November 2026, scores 48.5% on ExploitGym, up from 32.1% for GPT-5.6 Cyber (OpenAI's announcement), and charges $20 per million input and $100 per million output tokens — 5x Claude Opus 5.5 on both sides (Anthropic pricing). Our pick: GPT-6 Cyber is the strongest exploit-capable frontier model for approved defenders, but most security teams should default to Opus 5.5 for code review, or to GPT-6 Astra or GPT-5.6 Cyber, and escalate to GPT-6 Cyber only for exploit validation.
TL;DR
- A security-tuned variant of GPT-6 Astra, rated Critical for cybersecurity under OpenAI's Preparedness Framework (OpenAI).
- ExploitGym: 48.5% against 32.1% for GPT-5.6 Cyber, a 16.4 point gain and a 51% relative improvement (OpenAI).
- Pricing is $20 input and $100 output per million tokens, against $4 and $20 for Opus 5.5 (VentureBeat, Anthropic).
- Access is limited to approved Daybreak Red customers. Last verified: 7 November 2026.
How does GPT-6 Cyber compare with Claude Opus 5.5 and its siblings?
The comparison is not like for like. Opus 5.5 is a general model that does competent security review. GPT-6 Cyber is a gated model built to find and exploit vulnerabilities, and the benchmarks reflect that. All figures below come from OpenAI's announcement and its system card.
| Evaluation | GPT-6 Cyber | Comparison |
|---|---|---|
| ExploitGym | 48.5% | 32.1% (GPT-5.6 Cyber) |
| ExploitGym Honeypot, no deployment prompt | 99.93% in scope | 94.49% (GPT-5.6 Cyber) |
| ExploitGym Honeypot, with deployment prompt | 100% in scope | Not reported |
| RemoteExploitBench (GitLab, PostgreSQL, Jenkins) | 95% of tasks completed | GPT-6 Astra refused 100% |
| Web penetration-testing recall | 40.3% | 32.0% (GPT-6 Astra) |
Honeypot measures scope-keeping and was informed by the earlier Hugging Face incident; RemoteExploitBench is new. Treat every number as vendor-reported until third parties reproduce it.
What did GPT-6 Cyber actually find in real software?
OpenAI reports the model reproduced 1,724 Linux kernel vulnerabilities and built working exploits for 948, more than 5x the 166 that GPT-5.6 Sol managed in the same harness, and disclosed 304 critical findings with candidate patches (OpenAI). TechCrunch put the hunt's cost at $1.2 million, about Rs 11.3 crore at ~94 rupees per dollar (a conversion) (TechCrunch).
In Firefox, it found 81 novel high-severity vulnerabilities with reproducible tests and re-graded 30 known issues as more severe. Mozilla has started landing fixes under MFSA 2026-118 (OpenAI).
How much does GPT-6 Cyber cost per million tokens in rupees?
At roughly 94 rupees per dollar, GPT-6 Cyber carries the highest output rate below. The GPT-6 Cyber rate is on OpenAI's developer docs as reported by VentureBeat, Opus 5.5 on Anthropic's pricing page, and the GPT-5.6 Cyber and Astra rows follow apidog's summary. INR figures are our conversions at the 93.90 close for INR=X on 6 November 2026.
| Model | Input | Output | Cached input |
|---|---|---|---|
| GPT-6 Cyber | $20 (~Rs 1,880) | $100 (~Rs 9,400) | $2 (~Rs 188) |
| GPT-5.6 Cyber | $12.50 (~Rs 1,175) | $75 (~Rs 7,050) | $1.25 (~Rs 118) |
| GPT-6 Astra | $10 (~Rs 940) | $50 (~Rs 4,700) | $1 (~Rs 94) |
| Claude Opus 5.5 | $4 (~Rs 376) | $20 (~Rs 1,880) | $0.20 (~Rs 19) |
Against GPT-5.6 Cyber, GPT-6 Cyber charges 60% more for input and about 33% more for output (VentureBeat). VentureBeat also reports it sits above the cyber offerings from Anthropic and Google.
What does a single call cost in practice?
Take one agentic call with 50,000 input tokens and 10,000 output tokens. Our analysis of the published rates across all 4 models (n=4) puts GPT-6 Cyber at 5x Opus 5.5 per call — our own arithmetic, not a vendor figure.
- GPT-6 Cyber: $2.00 (~Rs 188), from the VentureBeat-reported rates
- GPT-5.6 Cyber: $1.375 (~Rs 129), from apidog's price summary
- GPT-6 Astra: $1.00 (~Rs 94), from apidog's price summary
- Claude Opus 5.5: $0.40 (~Rs 38), from Anthropic's pricing page
For an Indian SOC or appsec team, an illustrative 1,000 such calls a day costs about $2,000 (~Rs 1.88 lakh) on GPT-6 Cyber (VentureBeat rates) against $400 (~Rs 37,600) on Opus 5.5 (Anthropic rates). Output dominates agentic security work — the model writes reasoning, exploit code and reports — and that $100 per million output rate makes this the most expensive frontier API in our comparison.
Which model should a security team actually use?
Use a tiered approach rather than a single default.
- Routine code review and triage: Opus 5.5 or GPT-6 Astra. CodeRabbit CEO Harjot Gill's team reported 66% more medium and high-severity issues on its internal benchmark with the model (OpenAI via VentureBeat); whether that gap justifies a 5x bill depends on the cost of a missed bug.
- Broader scanning: GPT-5.6 Cyber, which becomes available to all Daybreak Red customers.
- Exploit validation and proof-of-concept work: GPT-6 Cyber, where its exploit capability is the whole point.
For the general-purpose side of OpenAI's lineup, see our GPT-6 Astra against Claude Fable 5.1 verdict and the Kimi K3.1 Pro against Claude Opus 5.5 comparison.
How do you get access to GPT-6 Cyber?
The steps below follow OpenAI's announcement and VentureBeat's coverage.
- Apply to the Daybreak programme at openai.com/daybreak, uploading details of your defensive workflow and identification.
- Get approved for Daybreak Red, then obtain separate approval for GPT-6 Cyber.
- Set up IP allowlisting, which is required by default for the Daybreak Red API.
- If you use a zero-data-retention API setup, configure Private Safety Processing, which keeps encrypted data for 30 days.
- Call the model through the API or Codex.
Apidog's reading of the docs puts Build-tier limits at 5,000 requests and 1 million tokens per minute (apidog); confirm per account.
What are the risks and limits of GPT-6 Cyber?
Cost is the obvious one; the other is that defenders are not the only audience. Max Justicz, CTO of Charge Robotics, found CVE-2026-109518, an Ubuntu and Debian server takeover, with GPT-5.6 Sol in about two hours for roughly $5,000 in subscriptions and tokens, and warned that open-weight abliterated models undercut defenders (TechCrunch). Our explainer on Heretic 2.0 ARA against abliteration covers how those models are made. OpenAI backs a $1 billion Daybreak for Frontline Defenders grant programme for government and essential services (TechCrunch).
See how OpenAI's bug bounty changes fit this picture, the Heretic 2.0 explainer for how un-GPLed open models are made, our daily news roundup for 5 November, and the IIT cybersecurity degree admission guide.
FAQ
Q: What is GPT-6 Cyber?
A: GPT-6 Cyber is an OpenAI model released on 5 November 2026, a variant of GPT-6 Astra with extra security-investigation training, rated Critical in cybersecurity under the Preparedness Framework (OpenAI).
Q: How much does GPT-6 Cyber cost compared with Claude Opus 5.5?
A: $20 input and $100 output per million tokens, against $4 and $20 for Opus 5.5 — both rates 5x higher (VentureBeat, Anthropic).
Q: What does GPT-6 Cyber score on ExploitGym?
A: 48.5%, up from 32.1% for GPT-5.6 Cyber, a 51% relative improvement (OpenAI).
Q: Can anyone use GPT-6 Cyber?
A: No. It is initially limited to selected approved Daybreak Red customers through the API and Codex, with IP allowlisting required by default (OpenAI).
Q: Is GPT-6 Cyber worth it for an Indian security team?
A: Usually only for exploit validation — a 50,000 input and 10,000 output call costs about $2 (~Rs 188) against about $0.40 (~Rs 38) on Opus 5.5 (VentureBeat).
This article was produced with AI assistance and checked against the primary sources linked above. Benchmark results are vendor-reported. Corrections log: none as of 7 November 2026.
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