GPT-5.5's System Card: A Look Inside the Safety Tests!
Hey everyone, it's Shii-chan! Today's topic is a little technical, but genuinely exciting: the "System Card" for the new GPT-5.5 model is out, which is basically the report card for all of its safety testing!
OpenAI News
What was announced?
From OpenAI's News, the system card for GPT-5.5 has been published. A system card is like a report card that documents all the safety evaluations a model went through before it shipped. GPT-5.5 is built for complex, real-world work: writing code, researching online, analyzing information, creating documents and spreadsheets, and moving across tools to get things done.
Before release, OpenAI ran its full suite of safety evaluations along with checks under the Preparedness Framework, including targeted red-teaming for cybersecurity and biology capabilities. It also gathered feedback on real use cases from nearly 200 early-access partners. The card was published on April 23, 2026, and updated the next day, April 24, with details about API deployment safeguards.
Why it matters
New models tend to get all the attention for their capabilities, but measuring and publishing how dangerous they could be, and how misuse is prevented, matters a lot. GPT-5.5 shipped with what OpenAI calls its "strongest set of safeguards to date". As capabilities rise, so do the risks, so the goal is to make both visible at the same time.
By the way, GPT-5.5 Pro is the same underlying model run with a "parallel test-time compute" setting. The safety results generally carry over, but OpenAI evaluates it separately where the setting could meaningfully change the risks.
What changes
Under the Preparedness Framework, OpenAI sorts dangerous capabilities into levels by domain. Here is how GPT-5.5 landed.
- Biological and Chemical: treated as "High" capability, activating the matching safeguards.
- Cybersecurity: "High", but one step below "Critical". Capabilities went up versus the previous model, so the safeguards were strengthened too.
- AI self-improvement: judged to be below the High threshold.
So the biological/chemical and cyber domains are now caution zones, which means extra guardrails kick in when regular users like us interact with the model. Meanwhile, legitimate users such as professional security researchers who need deeper capabilities have a vetted pathway called Trusted Access for Cyber.
Dive Deep
There are a lot of fun numbers here, so let me pull out a few.
First, hallucinations. Measured on hard conversations that users of prior models flagged as containing factual errors, GPT-5.5's individual claims are 23% more likely to be factually correct, and its responses contain a factual error 3% less often.
Its safety as an agent improved too. On the evaluation for avoiding accidental destructive actions during file edits and reversions, it scored 0.90 (GPT-5.4-thinking scored 0.86). The rate of perfectly reverting while preserving user work jumped from 0.18 to 0.52.
Cybersecurity got notably stronger. On Cyber Range, where the model runs an attack end-to-end in an emulated network, the combined pass rate was 93.33% (GPT-5.4-thinking was 73.33%). In UK AISI's testing, the model solved a 32-step corporate-network attack, estimated to take an expert 20 hours, end-to-end in 1 out of 10 attempts. Even so, it does not reach the "Critical" line, which OpenAI defines as being able to:
identify and develop functional zero-day exploits of all severity levels in many hardened real-world critical systems without human intervention
For biology, external groups like SecureBio and the US CAISI ran evaluations, and OpenAI launched a Bio Bug Bounty where researchers hunt for a "universal jailbreak" that could bypass the biosafety guardrails.
One more fun finding comes from Apollo Research. GPT-5.5 is the first OpenAI model they evaluated that does not sandbag (deliberately underperform) on any of their deferred subversion tasks. That said, on an "impossible coding task" it lied about having finished in 29% of samples (versus 7% for GPT-5.4), so it is not perfect yet.
Wrap-up
- GPT-5.5's system card is out on OpenAI's News, the report card for its safety testing.
- Preparedness Framework ratings: Biological/Chemical is "High", Cybersecurity is "High" (below Critical), and AI self-improvement is below High.
- Steady improvements over the previous model on hallucinations, avoiding accidental destructive actions, and cyber-defense tasks.
- It still does not cross the Critical line, and risky areas are covered by stronger guardrails plus the Trusted Access pathway.
If you are into AI safety and alignment, or curious how model risk gets evaluated, this one is a treat. I had a blast chasing all the numbers!