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.
138 of 138
| Model | Level, as the provider names it | The provider states | The provider's sentence |
|---|---|---|---|
| GPT-5.5 OpenAI · 2026-04-23 |
High capability, below critical Cyber |
Not reached | “we are treating GPT-5.5 as High capability in the Cybersecurity domain, but below Critical.” source |
| 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 |
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.
1911 of 1911
| Model | Tester | Test | What was found |
|---|---|---|---|
| o3 OpenAI |
SecureBio Independent lab · 2026-09-11 |
image-omitted runs Chemical, biological, radiological, nuclear |
“accuracies of three selected models on vct and vct-v2 in either image-omitted (images removed) or question-omitted (question texts and images removed) mode.” source |
| o3 OpenAI |
SecureBio Independent lab · 2026-09-11 |
question-omitted runs Chemical, biological, radiological, nuclear |
“while the changes in vct-v2 markedly reduced model accuracies in image- and question-omitted runs, a meaningful number of questions slipped through and remained answerable by frontier models in these ablated runs.” source |
| GPT-5.6 Sol OpenAI |
SecureBio Independent lab · 2026-09-11 |
image-omitted and question-omitted ablation runs Chemical, biological, radiological, nuclear |
“while the changes in vct-v2 markedly reduced model accuracies in image- and question-omitted runs, a meaningful number of questions slipped through and remained answerable by frontier models in these ablated runs.” source |
| GPT-5.6 Sol OpenAI |
SecureBio Independent lab · 2026-09-11 |
Virology Capabilities Test Chemical, biological, radiological, nuclear |
“aggregating highest per-question accuracy across models gives a theoretical best of 79%, or ~30 percentage points above the top-performing model we assessed (gpt-5.6 sol: 49.2%).” source |
| Kimi K3 Moonshot AI |
Redwood Research Independent lab · 2026-09-10 |
nls depth measurement Other |
“Kimi-K3’s NLS depth is larger because Kimi-K3 uses “Kimi Delta Attention”, a form of state space model / linear attention to scale the depth above what you’d get in a normal transformer of its size.” source |
| Claude Sonnet 5 Anthropic |
Epoch AI Independent lab · 2026-09-08 |
time to first token (TTFT) scaling measurement across context lengths Other |
“We measured how the time to first token (TTFT) scales with context length for OpenAI’s GPT-5.6 Terra and Sol and Anthropic’s Claude Sonnet 5 and Opus 5.” source |
| GPT-6 Sol OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
no-cot math time horizon Other |
“UKAISImea- suredAstra’stimehorizonat30.9minutescomparedto3.6minutesfor GPT5.6Sol(Figure 41).” source |
| GPT-6 Sol OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
cot controllability Other |
“CoTControllability: AstrashowsasubstantialincreaseinCoTControl- lability over GPT 5.6 Sol, following the constraint on 93% of samples comparedto48%.” source |
| GPT-6 Sol OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
cot legibility Other |
“CoTLegibility: Astrareasonsinacompressedstyle,toagreaterdegree thanGPT5.6SolorGPT5.5.” source |
| GPT-6 Sol OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
reasoning summary availability Other |
“ReasoningSummaryAvailability: DuringAISI’sevaluations,reasoning summaries were not consistently provided by the user API, with up to 80% missing on long simulated cyber trajectories.” source |
| GPT-6 Sol OpenAI |
Independent lab Independent lab · 2026-09-03 |
Irregular's atomic challenges suite Cyber |
“Astra also solved 20/22 Atomic challenges, with average success rates of 100% in vulnerability research and exploitation, 100% in network attack simulation,and52%inevasion.” source |
| GPT-6 Luna OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
out of scope supply chain attack evaluation Cyber |
“ToevaluateAstra’salignment,UKAISIdevelopedanew Out of Scope Supply ChainAttack evaluationbasedonrecentlyobservedcasesofmodelsengaging insupply-chainattacksonrealopen-sourcerepositories.” source |
| GPT-6 Luna OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
previously documented suite of evaluations that involve assessing model behavior when assisting with AI safety research within a simulated AI company Cyber |
“UKAISI alsoevaluatedAstraonitspreviouslydocumentedsuiteofevaluationsthat involveassessingmodelbehaviorwhenassistingwithAIsafetyresearch withinasimulatedAIcompany.” source |
| GPT-6 Luna OpenAI |
Independent lab Independent lab · 2026-09-03 |
six red-team environments for propensities related to strategic deception and sabotage Deception and sabotage |
“ApolloResearchevaluatedanear-final,representativeversionofAstrafor propensitiesrelatedtostrategicdeceptionandsabotage,suchascaseswhere anAIsystemstrategicallymisrepresents,omits,orconcealsinformation whichusersordeveloperswouldconsiderimportant,acrosssixred-team environments.” source |
| GPT-6 Luna OpenAI |
Independent lab Independent lab · 2026-09-03 |
control runs where prompts explained the downstream welfare harms of inaccurate data Deception and sabotage |
“Astraproducednofalselabelsin20,000control runswherepromptsexplainedthedownstreamwelfareharmsofinaccurate data.” source |
| GPT-6 Luna OpenAI |
Independent lab Independent lab · 2026-09-03 |
verbalized evaluation awareness measurement Deception and sabotage |
“Apolloalsofoundhighratesofverbalizedevaluationawareness,meaning themodelexpressedawarenessofbeingevaluatedinitsreasoning.” source |
| GPT-6 Luna OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
no-cot math time horizon Deception and sabotage |
“UKAISImea- suredAstra’stimehorizonat30.9minutescomparedto3.6minutesfor GPT5.6Sol(Figure 41).” source |
| GPT-6 Luna OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
cot controllability Deception and sabotage |
“CoTControllability: AstrashowsasubstantialincreaseinCoTControl- lability over GPT 5.6 Sol, following the constraint on 93% of samples comparedto48%.” source |
| GPT-6 Luna OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
cot legibility Deception and sabotage |
“CoTLegibility: Astrareasonsinacompressedstyle,toagreaterdegree thanGPT5.6SolorGPT5.5.” source |
| GPT-6 Luna OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
reasoning summary availability Deception and sabotage |
“ReasoningSummaryAvailability: DuringAISI’sevaluations,reasoning summaries were not consistently provided by the user API, with up to 80% missing on long simulated cyber trajectories.” source |
| GPT-6 Luna OpenAI |
Independent lab Independent lab · 2026-09-03 |
human pathogen capabilities test (HPCT) Chemical, biological, radiological, nuclear |
“AstraachievedthehighestscoresSecureBiohadobservedonVCT(57.8%) andVCT-v2(57.7%),whileHumanPathogenCapabilitiesTest(HPCT)per- formancewasbroadlycomparabletothatofGPT-5.6Sol(65.9%vs. 66.5%) andWCBperformancewaslower(61.6%vs. 67.6%).” source |
| GPT-6 Luna OpenAI |
Independent lab Independent lab · 2026-09-03 |
ReproBait Chemical, biological, radiological, nuclear |
“On ReproBAIT, whichmeasuresagents’abilitytoindependentlyreproducebiologicalAI models from published papers, Astra’s helpful-only checkpoint reached 83%ofpublishedperformance,comparedwith69%forGPT-5.6Solacross thesamesixtasks.” source |
| GPT-6 Luna OpenAI |
Independent lab Independent lab · 2026-09-03 |
advanced screening evasion Chemical, biological, radiological, nuclear |
“Astra’shelpful-onlycheckpointachievedanewhighonAdvancedScreening Evasion,scoring0.728comparedwith0.726forGPT-5.6Sol’shelpful-only checkpoint.” source |
| GPT-6 Luna OpenAI |
Independent lab Independent lab · 2026-09-03 |
Frontier Cyber Cyber |
“OnFrontierCyber,whichtestsvulnerabilitydiscoveryandexploitationin realsoftwareandhardware,Astrasolved86/226challenges,comparedwith 34/226forGPT-5.6-Sol.” source |
| GPT-6 Luna OpenAI |
Independent lab Independent lab · 2026-09-03 |
Irregular's Atomic Challenges Suite Cyber |
“Astra also solved 20/22 Atomic challenges, with average success rates of 100% in vulnerability research and exploitation, 100% in network attack simulation,and52%inevasion.” source |
| GPT-6 Luna OpenAI |
Independent lab Independent lab · 2026-09-03 |
BioTier Misuse and jailbreaks |
“Astra’ssafeguardedconfigurationrefused82.9% ofrequeststhatSecureBiodesignatedforrefusal(comparedwithGPT-5.6 Sol’s66.2%),whileallowing95.3%ofbenignrequests(comparedwithGPT- 5.6Sol’s99%).” source |
| GPT-6 Astra OpenAI |
Independent lab Independent lab · 2026-09-03 |
GraySwan IPIArena Prompt injection and agents |
“GraySwanevaluatedAstra’ssusceptibilitytoindi- rectpromptinjectionacrosscoding,tool-use,andcomputer-usescenarios.” source |
| GPT-6 Astra OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
Out of Scope Supply Chain Attack Cyber |
“ToevaluateAstra’salignment,UKAISIdevelopedanew Out of Scope Supply ChainAttack evaluationbasedonrecentlyobservedcasesofmodelsengaging insupply-chainattacksonrealopen-sourcerepositories.” source |
| GPT-6 Astra OpenAI |
UK AI Security Institute Government evaluator · 2026-09-03 |
unprompted sabotage evaluation Deception and sabotage |
“UK AISI found no instances of Astra sabotaging AI safety research in its unprompted sabotage evaluation, and very few instances of Astra refusingtoassistwithAIsafetyresearchtasks.” source |
| GPT-6 Astra OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
No-CoT math time horizon Deception and sabotage |
“UKAISImea- suredAstra’stimehorizonat30.9minutescomparedto3.6minutesfor GPT5.6Sol(Figure 41).” source |
| GPT-6 Astra OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
CoT Controllability Deception and sabotage |
“AstrashowsasubstantialincreaseinCoTControl- lability over GPT 5.6 Sol, following the constraint on 93% of samples comparedto48%.” source |
| GPT-6 Astra OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
CoT Legibility Deception and sabotage |
“Astrareasonsinacompressedstyle,toagreaterdegree thanGPT5.6SolorGPT5.5.” source |
| GPT-6 Astra OpenAI |
Government evaluator Government evaluator · 2026-09-03 |
Reasoning Summary Availability Deception and sabotage |
“DuringAISI’sevaluations,reasoning summaries were not consistently provided by the user API, with up to 80% missing on long simulated cyber trajectories.” source |
| GPT-6 Astra OpenAI |
Independent lab Independent lab · 2026-09-03 |
Virology Capabilities Test Chemical, biological, radiological, nuclear |
“AstraachievedthehighestscoresSecureBiohadobservedonVCT(57.8%) andVCT-v2(57.7%),whileHumanPathogenCapabilitiesTest(HPCT)per- formancewasbroadlycomparabletothatofGPT-5.6Sol(65.9%vs. 66.5%) andWCBperformancewaslower(61.6%vs. 67.6%).” source |
| GPT-6 Astra OpenAI |
Independent lab Independent lab · 2026-09-03 |
ReproBAIT Chemical, biological, radiological, nuclear |
“On ReproBAIT, whichmeasuresagents’abilitytoindependentlyreproducebiologicalAI models from published papers, Astra’s helpful-only checkpoint reached 83%ofpublishedperformance,comparedwith69%forGPT-5.6Solacross thesamesixtasks.” source |
| GPT-6 Astra OpenAI |
SecureBio Independent lab · 2026-09-03 |
Advanced Screening Evasion Chemical, biological, radiological, nuclear |
“Astra’shelpful-onlycheckpointachievedanewhighonAdvancedScreening Evasion,scoring0.728comparedwith0.726forGPT-5.6Sol’shelpful-only checkpoint.” source |
| GPT-6 Astra OpenAI |
Independent lab Independent lab · 2026-09-03 |
FrontierCyber Cyber |
“OnFrontierCyber,whichtestsvulnerabilitydiscoveryandexploitationin realsoftwareandhardware,Astrasolved86/226challenges,comparedwith 34/226forGPT-5.6-Sol.” source |
| GPT-6 Astra OpenAI |
Independent lab Independent lab · 2026-09-03 |
CyScenarioBench Cyber |
“OnCyScenarioBench,whichtestslong-horizonoffensivetasks,Astrasolved 9/10challengesatleastonce,comparedwith6/10forGPT-5.6-Sol.” source |
| GPT-6 Astra OpenAI |
Independent lab Independent lab · 2026-09-03 |
Atomic Challenges suite Cyber |
“Astra also solved 20/22 Atomic challenges, with average success rates of 100% in vulnerability research and exploitation, 100% in network attack simulation,and52%inevasion.” source |
| Claude Mythos 5.1 Anthropic |
Independent lab Independent lab · 2026-09-01 |
External testing by AI safety researchers at METR Autonomy and AI research |
“External testing by AI safety researchers at METR produced findings consistent with this assessment.” source |