AI Safety
What AI providers state their models reached in safety testing, in their own words, and what outside testers found.
Also: compare models side by side · statements that a capability level was crossed · providers · practices providers document · safety news.
What providers state
Each row is one statement in a provider's own safety document about a capability level of one of its models: the level as the provider names it, whether the provider says the model reached it, and the sentence that says so.
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| Model | Level, as the provider names it | The provider states | The provider's sentence |
|---|---|---|---|
| Claude Opus 4.7 Anthropic · 2026-04-16 |
Automated AI R&D Autonomy and AI research |
Not reached | “that Opus 4.7 does not cross the threshold for automated AI R&D;” source |
| Claude Opus 4.7 Anthropic · 2026-04-16 |
CB-1 Chemical, biological, radiological, nuclear |
Not determined | “We believe it is hard to be confident regarding whether a model passes this threshold.” source |
| Claude Opus 4.7 Anthropic · 2026-04-16 |
CB-2 Chemical, biological, radiological, nuclear |
Not determined | “Our evaluations suggest that the model is not yet at the level of capability associated with the CB-2 threat model (above).” source |
| Claude Mythos Preview Anthropic · 2026-04-07 |
AI R&D rule-out Autonomy and AI research |
Not reached | “The main reason we have determined that Claude Mythos Preview does not cross the threshold in question is that we have been using it extensively in the course of our day-to-day work and exploring where it can automate such work, and it does not seem close to being able to substitute for Research Scientists and Research Engineers—especially relatively senior ones.” source |
| Claude Mythos Preview Anthropic · 2026-04-07 |
Automated AI R&D Autonomy and AI research |
Not reached | “We assess that Claude Mythos Preview does not cross the automated AI-R&D capability threshold.” source |
| Claude Mythos Preview Anthropic · 2026-04-07 |
RSP automated AI R&D Autonomy and AI research |
Not reached | “we have concluded that Claude Mythos Preview does not cross the RSP automated AI R&D threshold of compressing two years of progress into one.” source |
| Claude Mythos Preview Anthropic · 2026-04-07 |
CB-1 Chemical, biological, radiological, nuclear |
Not determined | “We believe it is hard to be confident regarding whether a model passes this threshold.” source |
| Claude Mythos Preview Anthropic · 2026-04-07 |
CB-2 Chemical, biological, radiological, nuclear |
Not reached | “We believe that Claude Mythos Preview does not pass this threshold due to its noted limitations in open-ended scientific reasoning, strategic judgment, and hypothesis triage.” source |
| GPT-5.4 mini OpenAI · 2026-03-05 |
High Chemical, biological, radiological, nuclear |
Not reached | “GPT-5.4 mini’s biology capabilities are closely comparable to those of GPT-5. We conclude that it, too, is not High under our Preparedness Framework.” source |
| GPT-5.4 Thinking OpenAI · 2026-03-05 |
High Autonomy and AI research |
Not reached | “For AI self-improvement, evaluations of final checkpoints indicate that, like its predecessor models, gpt-5.4-thinking does not have a plausible chance of reaching a High threshold.” source |
| GPT-5.4 Thinking OpenAI · 2026-03-05 |
High Chemical, biological, radiological, nuclear |
Reached | “As we did for gpt-5.2-thinking before it, we are continuing to treat gpt-5.4-thinking as High capability in the Biological and Chemical domain.” source |
| GPT-5.4 Thinking OpenAI · 2026-03-05 |
High Cyber |
Reached | “As we did for gpt-5.3-codex, we are treating gpt-5.4-thinking as High capability in the Cybersecurity domain, and applied safeguards as described in the Safeguard section below.” source |
| Claude Sonnet 4.6 Anthropic · 2026-02-17 |
AI R&D-4 Autonomy and AI research |
Not reached | “Our determination is that Claude Sonnet 4.6 does not cross either the AI R&D-4 or the CBRN-4 capability threshold.” source |
| Claude Sonnet 4.6 Anthropic · 2026-02-17 |
ASL-3 Chemical, biological, radiological, nuclear |
Not determined | “Claude Sonnet 4.6 performed above thresholds for ASL-3 rule-in on all three evaluations for ASL-3, and it did not exceed the performance of previous models.” source |
| Claude Sonnet 4.6 Anthropic · 2026-02-17 |
ASL-4 Chemical, biological, radiological, nuclear |
Not reached | “In particular, it did not cross the threshold on our ASL-4 rule-out evaluation short-horizon computational biology tasks evaluation.” source |
| Claude Sonnet 4.6 Anthropic · 2026-02-17 |
CBRN-4 Chemical, biological, radiological, nuclear |
Not reached | “Our determination is that Claude Sonnet 4.6 does not cross either the AI R&D-4 or the CBRN-4 capability threshold.” source |
| GPT-5.3-Codex OpenAI · 2026-02-05 |
High Autonomy and AI research |
Not reached | “It does not reach High capability on AI self-improvement.” source |
| GPT-5.3-Codex OpenAI · 2026-02-05 |
High Chemical, biological, radiological, nuclear |
Reached | “We are also treating GPT-5.3-Codex as High risk in the Biological and Chemical domain, and applying the same safeguards as for our other deployments of models that reach this designation.” source |
| GPT-5.3-Codex OpenAI · 2026-02-05 |
High Cyber |
Not determined | “This is the first launch we are treating as High capability in the Cybersecurity domain under our Preparedness Framework, activating the associated safeguards.” source |
| Gemini 3 Pro Google DeepMind · 2025-11 |
Uplift level 1 Cyber |
Not determined | “Cybersecurity On key skills benchmark, v1 hard challenges: 11/12 challenges solved; v2 challenges: 0/13 solved end-to-end.” source |
| Gemini 3 Pro Google DeepMind · 2025-11 |
Instrumental reasoning level 1 + 2 Deception and sabotage |
Not determined | “Misalignment (Exploratory) Agent solves 3/11 situational awareness challenges and 1/4 stealth challenges.” source |
| Gemini 3 Pro Google DeepMind · 2025-11 |
Level 1 (exploratory) Deception and sabotage |
Not reached | “Harmful Manipulation Model manipulative efficacy improves on non-generative AI baseline, but shows no significant uplift versus prior models and does not reach alert thresholds.” source |
| o4-mini OpenAI · 2025-04-16 |
High Autonomy and AI research |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| o4-mini OpenAI · 2025-04-16 |
High Chemical, biological, radiological, nuclear |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| o4-mini OpenAI · 2025-04-16 |
High Cyber |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| o3 OpenAI · 2025-04-16 |
High Autonomy and AI research |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| o3 OpenAI · 2025-04-16 |
High Chemical, biological, radiological, nuclear |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| o3 OpenAI · 2025-04-16 |
High Cyber |
Not reached | “openai’s safety advisory group (sag) reviewed the results of our preparedness evaluations and determined that openai o3 and o4-mini do not reach the high threshold in any of our three tracked categories: biological and chemical capability, cybersecurity, and ai self-improvement.” source |
| Operator OpenAI · 2025-01-23 |
Low Autonomy and AI research |
Not reached | “we adapted these two evals for the computer-use setting and found the pre-mitigation operator model to be “low” risk in both categories, consistent with the gpt‑4o model.” source |
| Operator OpenAI · 2025-01-23 |
Low Chemical, biological, radiological, nuclear |
Not reached | “this 1% qualifies as “low” risk, matching gpt‑4o’s “low” risk level, as detailed in openai’s preparedness framework (opens in a new window) 3 .” source |
| Muse Spark Contemplating Meta |
Moderate or lower Autonomy and AI research |
Not reached | “Loss of Control risks.We assess loss of control risk as “moderate or lower.”” source |
| Muse Spark Contemplating Meta |
High Chemical, biological, radiological, nuclear |
Reached | “We retain the same “high risk” determination for the unmitigated model.” source |
| Muse Spark Contemplating Meta |
Moderate or lower Chemical, biological, radiological, nuclear |
Not reached | “After validating that the mitigations deployed for Muse Spark, including refusal mechanisms, continue to perform robustly under the Contemplating architecture, we confirm residual risk at “moderate or lower.”” source |
| Muse Spark Contemplating Meta |
Moderate or lower Cyber |
Not reached | “We assess cybersecurity risk as “moderate or lower” with respect to the threat scenarios outlined in Meta’s Advanced AI Scaling Framework.” source |
| Muse Spark 1.1 Meta |
Capability checkpoint Autonomy and AI research |
Reached | “Muse Spark 1.1 demonstrates improved coding capabilities, which are now meeting one of the indicative thresholds introduced in Muse Spark Safety & Preparedness Report (specifically, resolving over half of unique tasks on SWE-Bench Verified Hard).” source |
| Muse Spark 1.1 Meta |
Moderate or lower Autonomy and AI research |
Not reached | “In the Loss of Control domain, the model’s capabilities remain within the “moderate or lower” threshold under Meta’s Advanced AI Scaling Framework.” source |
| Muse Spark 1.1 Meta |
High Chemical, biological, radiological, nuclear |
Not determined | “Our assessments indicate that, when evaluated without mitigations applied, we cannot rule out Muse Spark 1.1’s capabilities meeting this threshold in both the Chemical & Biological and Cybersecurity domains.” source |
| Muse Spark 1.1 Meta |
High Cyber |
Not determined | “Our assessments indicate that, when evaluated without mitigations applied, we cannot rule out Muse Spark 1.1’s capabilities meeting this threshold in both the Chemical & Biological and Cybersecurity domains.” source |
| Muse Spark 1.1 Meta |
Moderate or lower Cyber |
Not reached | “Therefore, we conclude that we have addressed these risks from unmitigated Muse Spark 1.1, which bring the residual risk to the “moderate or lower” risk threshold under Advanced AI Scaling Framework.” source |
| Muse Spark 1.1 Meta |
Moderate or lower Misuse and jailbreaks |
Not reached | “Therefore, we conclude that we have addressed these risks from unmitigated Muse Spark 1.1, which bring the residual risk to the “moderate or lower” risk threshold under our Advanced AI Scaling Framework.” source |
What outside testers report
Each row is one result from a government evaluator, independent lab, academic or security firm that tested a model, quoted from where it is reported.
1940 of 1940
| Model | Tester | Test | What was found |
|---|---|---|---|
| Claude Opus 4.5 Anthropic |
Government evaluator Government evaluator · 2025-11-01 |
independent assessments focused on potential catastrophic risks in cbrn capabilities Chemical, biological, radiological, nuclear |
“These organizations conducted independent assessments focused on potential catastrophic risks in CBRN capabilities, cyber capabilities, ASL-3 safeguards, and misalignment.” source |
| Claude Haiku 4.5 Anthropic |
Gray Swan Independent lab · 2025-10-01 |
Agent Red Teaming (ART) benchmark Prompt injection and agents |
“Gray swan conducted their agent red teaming (art) benchmark 4 on claude haiku 4.5 to evaluate the model’s susceptibility to prompt injection attacks in comparison to other ai models in the ecosystem.” source |
| Claude Sonnet 4.5 Anthropic |
Independent lab Independent lab · 2025-09-01 |
Agent Red Teaming (ART) benchmark Prompt injection and agents |
“On the attacks included within the benchmark, Claude Sonnet 4.5—with and without extended thinking enabled—had the lowest rate of successful prompt injection attacks of any model tested, including previous Anthropic models.” source |
| Claude Sonnet 4.5 Anthropic |
Irregular Independent lab · 2025-09-01 |
Irregular challenges Cyber |
“In collaboration with Irregular , we developed a series of cybersecurity challenges that reflect the above three threat scenarios.” source |
| Claude Sonnet 4.5 Anthropic |
Academic Academic · 2025-09-01 |
Incalmo cyber ranges Cyber |
“Our most realistic evaluations of potential autonomous cyber operation risks are a suite of cyber ranges of 25–50 hosts each.” source |
| Claude Sonnet 4.5 Anthropic |
Government evaluator Government evaluator · 2025-09-01 |
synthetic scenarios Deception and sabotage |
“In particular, across our scenarios [the snapshot] verbalises—without prompting—evaluation awareness in its outputs 16.6% of the time, compared to 3.5% and 1.6% of the time for Sonnet 4 and Opus 4.1 respectively.” source |
| Claude Sonnet 4.5 Anthropic |
Government evaluator Government evaluator · 2025-09-01 |
diverse synthetic agentic evaluations Autonomy and AI research |
“On a preliminary set of diverse synthetic agentic evaluations, [the snapshot] appears to represent a decrease in the frequency of behaviours indicative of a self-preservation tendency.” source |
| Claude Sonnet 4.5 Anthropic |
Independent lab Independent lab · 2025-09-01 |
strategic deception evaluations Deception and sabotage |
“On our evaluations, [an early snapshot of Claude Sonnet 4.5] employs strategic deception in fewer circumstances than comparison models (0% vs up to 12% across tasks).” source |
| Claude Sonnet 4.5 Anthropic |
Independent lab Independent lab · 2025-09-01 |
in-context scheming reasoning and covert subversion evaluations Deception and sabotage |
“[The snapshot] demonstrates capability for in-context scheming reasoning and covert subversion, but only engages in such behavior in rare circumstances, when strongly prompted to pursue a goal that incentivizes covert subversion.” source |
| Claude Sonnet 4.5 Anthropic |
Independent lab Independent lab · 2025-09-01 |
subversion escalation evaluations Deception and sabotage |
“We did not observe any instances of the model proactively escalating its subversion attempts, in contrast to an early checkpoint of claude-4-opus ( Anthropic, 2025 ; Hobbhahn, 2025 ).” source |
| Claude Sonnet 4.5 Anthropic |
Independent lab Independent lab · 2025-09-01 |
strategic underperformance evaluations Deception and sabotage |
“We find evidence of [the snapshot] strategically underperforming when given in-context clues that high performance would ostensibly lead to unlearning.” source |
| Claude Sonnet 4.5 Anthropic |
Independent lab Independent lab · 2025-09-01 |
evaluation awareness evaluations Deception and sabotage |
“Preliminary evidence suggests [the snapshot] verbalizes this awareness more frequently and more explicitly than previous models (58% unambiguous references vs 22% for opus-4.1).” source |
| Claude Sonnet 4.5 Anthropic |
Independent lab Independent lab · 2025-09-01 |
honesty evaluations Deception and sabotage |
“In at least some cases, [the snapshot] is more likely to behave honestly on rollouts where its chain-of-thought indicates high evaluation awareness.” source |
| Claude Sonnet 4.5 Anthropic |
Independent lab Independent lab · 2025-09-01 |
creative biology Chemical, biological, radiological, nuclear |
“Results Claude Sonnet 4.5 achieved a mean score of 0.48 ± 0.08, compared to Claude Opus 4.1’s mean score of 0.48 ± 0.09 and Claude Opus 4’s mean score of 0.45 ± 0.08.” source |
| Claude Sonnet 4.5 Anthropic |
Independent lab Independent lab · 2025-09-01 |
short-horizon computational biology tasks Chemical, biological, radiological, nuclear |
“Results Overall, we found that Claude Sonnet 4.5 clearly scored below the rule-out bar on 3 out of 6 evaluations (Task 1, Task 5, Task 6).” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
expert red teaming for violent attack planning Misuse and jailbreaks |
“This campaign found that gpt-5-thinking was perceived as the "safer" model 65% 20 of the time in blind comparison to OpenAI o3.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
prompt-injection assessment Prompt injection and agents |
“From an initial 47 reported findings 10 notable issues were identified.” source |
| GPT-5 OpenAI |
Gray Swan Independent lab · 2025-08-07 |
prompt-injection benchmark Prompt injection and agents |
“One of our external testing partners, Gray Swan, ran a prompt-injection benchmark[10], showing that gpt-5-thinking has SOTA performance against adversarial prompt injection attacks produced by their Shade platform.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
extensive red-teaming exercise Other |
“The Microsoft AI Red Team concluded that the gpt-5-thinking model exhibits one of the strongest AI safety profiles among OpenAI’s models—on par with or better than OpenAI o3—across most critical harm categories, based on an extensive red-teaming exercise.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
red-teaming exercise Misuse and jailbreaks |
“The Microsoft AI Red Team spent several weeks red-teaming gpt-5-thinking across multiple checkpoints.” source |
| GPT-5 OpenAI |
SecureBio Independent lab · 2025-08-07 |
static evaluations Chemical, biological, radiological, nuclear |
“SecureBio found that on static evaluations, gpt-5-thinking performed similarly to OpenAI o3: slightly weaker on the multiple-response benchmarks and comparable or slightly stronger on the open-” source |
| GPT-5 OpenAI |
SecureBio Independent lab · 2025-08-07 |
static benchmarks Chemical, biological, radiological, nuclear |
“SecureBio found that on static evaluations, gpt-5-thinking performed similarly to OpenAI o3: slightly weaker on the multiple-response benchmarks and comparable or slightly stronger on the open-answer benchmark.” source |
| GPT-5 OpenAI |
SecureBio Independent lab · 2025-08-07 |
agent evaluations Chemical, biological, radiological, nuclear |
“In agent evaluations, SecureBio found that mitigated gpt-5-thinking refused every prompt.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
long-form evaluations Chemical, biological, radiological, nuclear |
“With mitigations in place, gpt-5-thinking refused every prompt for every agent and long-form evaluation.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
manual red-teaming Chemical, biological, radiological, nuclear |
“Their manual red-teaming found that gpt-5-thinking-helpful-only was broadly similar in capability to OpenAI o3-helpful-only.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
Virology Capabilities Test Chemical, biological, radiological, nuclear |
“gpt-5-thinking July 13 41.4 ± 1.7% 46.0 ± 1.8% 53.7 ± 3.2% 48.0 ± 1.3% 47.6 ± 2.9%” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
lab automation for gibson assembly on an opentrons ot-2 Chemical, biological, radiological, nuclear |
“On Lab Automation for Gibson Assembly on an Opentrons OT-2, gpt-5-thinking-helpful-only scored 0.15± 0.02, below OpenAI o3-helpful-only at 0.22± 0.11 and close to the human baseline at 0.22± 0.060, indicating partial but incomplete end-to-end automation support.” source |
| GPT-5 OpenAI |
SecureBio Independent lab · 2025-08-07 |
pelagic long-form virology plasmid design Chemical, biological, radiological, nuclear |
“On Pelagic long-form virology plasmid design, SecureBio reported that gpt-5-thinking-helpful-only performed almost identically to OpenAI o3-helpful-only, with aggregate scores of 0.825 and 0.830, respectively, and perfect performance on several subtasks for both models.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
evasion challenges Cyber |
“gpt-5-thinking achieved an average success rate of 51% in Evasion challenges, 35% in Vulnerability Discovery and Exploitation challenges, and 49% in Network Attack Simulation challenges.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
cyberoffensive challenges Cyber |
“It solved 17 out of 18 easy challenges, solved 8 out of 14 medium challenges, and did not solve any of the 4 hard challenges.” source |
| GPT-5 OpenAI |
METR Independent lab · 2025-08-07 |
time horizon evaluation Autonomy and AI research |
“To estimate gpt-5-thinking’s autonomous software capabilities, METR used the methodology outlined in their recent paper.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
monitor based on o4-mini Deception and sabotage |
“They reviewed 789 runs with a monitor based on o4-mini which did not find any clear evidence of sandbagging.” source |
| GPT-5 OpenAI |
Apollo Research Independent lab · 2025-08-07 |
26 evaluations (>180 environments, >4600 samples) that measure capability and propensity to take covert or deceptive actions Deception and sabotage |
“Apollo Research evaluated gpt-5-thinking on a range of 26 evaluations (>180 environments, >4600 samples) that measure capability and propensity to take covert or deceptive actions.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
log falsification Deception and sabotage |
“For illustration, the following are transcripts from the “Log Falsification” eval, where gpt-5-thinking is pressured to report incorrect results, e.g., in order to keep the business going.” source |
| GPT-5 OpenAI |
Independent lab Independent lab · 2025-08-07 |
evaluation awareness Deception and sabotage |
“Apollo estimated the frequency of such behavior with an o3-based grader, using a broad and a strict definition for evaluation awareness.” source |
| GPT-5 OpenAI |
FAR.AI Independent lab · 2025-08-07 |
third party red teaming Chemical, biological, radiological, nuclear |
“FAR.AI conducted 80 hours of red-teaming over 1 week against the OpenAI API.” source |
| GPT-5 OpenAI |
FAR.AI Independent lab · 2025-08-07 |
general-purpose jailbreak red teaming Misuse and jailbreaks |
“They found a total of one general-purpose jailbreak technique that bypassed a partial set of our layers that would have allowed them to extract some information which in practice would activate enforcement action.” source |
| GPT-5 OpenAI |
Gray Swan Independent lab · 2025-08-07 |
bioweaponization rubrics jailbreak campaign Chemical, biological, radiological, nuclear |
“Gray Swan Red Teamers participating through the Gray Swan arena platform queried gpt-5-thinking, sub- mitting 277 high quality jailbreak reports over 28,367 attempts against the ten bioweaponization rubrics yielding an ASR of 0.98%.” source |
| GPT-5 OpenAI |
CAISI (NIST), UK AI Security Institute Government evaluator · 2025-08-07 |
cyber capability evaluations Cyber |
“Both CAISI and UK AISI conducted evaluations of the model’s cyber and biological and chemical capabilities, as well as safeguards.” source |
| GPT-5 OpenAI |
UK AI Security Institute Government evaluator · 2025-08-07 |
safeguards stress testing Misuse and jailbreaks |
“The UK AISI’s Safeguards team identified multiple model-level jailbreaks that overcome gpt-5-thinking’s built-in refusal logic without degradation of model capabilities, producing content to the user that is subsequently flagged by OpenAI’s generation monitor.” source |