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.
139 of 139
| 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 Mythos 5 Anthropic |
Epoch AI Independent lab · 2026-06-11 |
cyber benchmarks Cyber |
“The picture then changed after benchmarking the April version, as UK AISI did.” source |
| Claude Mythos 5 Anthropic |
Epoch AI Independent lab · 2026-06-11 |
CyScenarioBench Cyber |
“From Anthropic’s Mythos 5 launch post : Mythos 5: 36.7% Mythos Preview: 29.2% Opus 4.8: 16.6%” source |
| Claude Mythos 5 Anthropic |
Epoch AI Independent lab · 2026-06-11 |
SCONE-Bench Cyber |
“Anthropic created a benchmark of 405 Ethereum smart contracts that were exploited between 2020 and 2025.” source |
| Claude Mythos 5 Anthropic |
Epoch AI Independent lab · 2026-06-11 |
OSS-Fuzz benchmark Cyber |
“Mythos 5 triggered a crash 80% of the time, compared to 76.7% for Mythos Preview, and 61.5% for Opus 4.8.” source |
| Claude Mythos 5 Anthropic |
Epoch AI Independent lab · 2026-06-11 |
UK AISI's CTF Suites Cyber |
“AISI has a suite of capture-the-flag challenges where AI models must identify and exploit weaknesses in target systems to retrieve hidden “flags”.” source |
| Claude Mythos 5 Anthropic |
Epoch AI Independent lab · 2026-06-11 |
UK AISI Cyber Ranges Cyber |
“Although AISI reports that Mythos Preview (April) was able to fully complete “Cooling Tower” on 3/10 attempts (with all other models at 0/10), as they do not give its average performance we are not able to incorporate this information.” source |
| Claude Mythos 5 Anthropic |
Epoch AI Independent lab · 2026-06-11 |
Microsoft CTI-REALM Cyber |
“Given cyber threat intelligence reports, it tasks models to generate detection rules to apply on endpoint/cloud telemetry logs.” source |
| Claude Mythos 5 Anthropic |
Epoch AI Independent lab · 2026-06-11 |
CVE-Bench Cyber |
“CVE-Bench is a selection of 40 web application environments with known exploitable vulnerabilities in which models need to build exploits to achieve any one of 8 capabilities (access files, privilege escalation, etc.).” source |
| Claude Mythos 5 Anthropic |
Epoch AI Independent lab · 2026-06-11 |
Cybench Cyber |
“Cybench is a benchmark containing 40 professional-level Capture the Flag (CTF) tasks from 4 distinct CTF competitions, chosen to be recent (as of 2024), meaningful, and spanning a wide range of difficulties.” source |
| Claude Mythos 5 Anthropic |
Epoch AI Independent lab · 2026-06-11 |
AISI’s Cyber Ranges Cyber |
“A lot of the improvement comes from big jumps on ExploitGym, ExploitBench, AISI’s Cyber Ranges, and Anthropic’s SCONE-Bench.” source |
| GPT-5.5 OpenAI |
Redwood Research Independent lab · 2026-06-10 |
no-CoT 50% time horizon (TH) on 43 benchmarks Other |
“We find that frontier models like GPT-5.5 answer questions that take humans roughly three minutes with 50% reliability, and this TH has doubled approximately every year since 2019.” source |
| GPT-5.5 OpenAI |
Redwood Research Independent lab · 2026-06-10 |
50% solve horizon (time horizon, TH) without chain-of-thought Autonomy and AI research |
“GPT-5.5 is at the current frontier, with a 50% no-CoT TH of about 3 minutes and a reasoning token horizon of about 1,500 o3-mini tokens.” source |
| Claude Sonnet 4.6 Anthropic |
SecureBio Independent lab · 2026-06-10 |
abc-bench fragment design Chemical, biological, radiological, nuclear |
“on the fragment design task, models also demonstrated strong performance, with claude opus 4.6 achieving a perfect score across all runs.” source |
| Claude Sonnet 4.6 Anthropic |
SecureBio Independent lab · 2026-06-10 |
abc-bench synthesis screening evasion Chemical, biological, radiological, nuclear |
“in contrast, models performed worse on screening evasion, which has no published protocol and requires creative application of bioinformatics principles to a novel problem.” source |
| Claude Sonnet 4.6 Anthropic |
SecureBio Independent lab · 2026-06-10 |
abc-bench liquid handling robot Chemical, biological, radiological, nuclear |
“two models (claude sonnet 4.6 and gemini 3.1 pro preview) scored perfectly on the liquid handling robot task on all runs.” source |
| Claude Sonnet 4.6 Anthropic |
SecureBio Independent lab · 2026-06-10 |
abc-bench fragment design task Chemical, biological, radiological, nuclear |
“frontier models performed highly on both the fragment design and liquid handling robot tasks.” source |
| Claude Opus 4.7 Anthropic |
Redwood Research Independent lab · 2026-06-10 |
43 benchmarks covering math, coding, knowledge, agentic tool-use, and safety-relevant questions like steganography and scheming reasoning Other |
“We evaluated 14 frontier models from GPT-2 (2019) through GPT-5.5 (2026) on 43 benchmarks covering math, coding, knowledge, agentic tool-use, and safety-relevant questions like steganography and scheming reasoning.” source |
| Claude Opus 4.6 Anthropic |
SecureBio Independent lab · 2026-06-10 |
abc-bench liquid handling robot Chemical, biological, radiological, nuclear |
“frontier models performed highly on both the fragment design and liquid handling robot tasks.” source |
| Claude Mythos 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
Black-box RNA sequence modeling and design challenge Chemical, biological, radiological, nuclear |
“We partnered with Dyno Therapeutics on two sequence-to-function evaluations: a black-box RNA sequence modeling and design challenge benchmarked against 57 human participants drawn from the leading edge of the US ML-bio labor market, and an AAV capsid packaging prediction task measuring whether model domain knowledge and machine learning capabilities can outperform pretrained protein language models.” source |
| Claude Mythos 5 Anthropic |
Frontier Design Independent lab · 2026-06-09 |
Internal and external red teaming with biological defense specialists Chemical, biological, radiological, nuclear |
“To assess biologically-relevant capabilities across the full weapons development pipeline, we ran a portfolio of evaluations: internal and external (Deloitte) red teaming with biological defense specialists; the Frontier Design beneficial red-teaming tabletop exercise pairing PhD biologists with LLM experts; a catastrophic biological scenario uplift trial (five three-person teams); and automated evaluations relevant to both CB-1 (long-form virology, VCT, DNA synthesis screening evasion) and CB-2 (black-box RNA sequence design and AAV capsid packaging prediction).” source |
| Claude Mythos 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
Black-box RNA sequence design Chemical, biological, radiological, nuclear |
“We partnered with Dyno Therapeutics on two evaluations of sequence-to-function modeling and design capability: 1. Black-box RNA sequence design: a medium-horizon challenge on which Dyno has evaluated 57 human participants drawn from the leading edge of the US ML-bio labor market since 2018.” source |
| Claude Mythos 5 Anthropic |
Government evaluator Government evaluator · 2026-06-09 |
The Last Ones Cyber |
“[Claude Mythos 5] matched Mythos Preview on "The Last Ones", solving the range end-to-end in 6/10 attempts.” source |
| Claude Mythos 5 Anthropic |
Government evaluator Government evaluator · 2026-06-09 |
Doing Life Cyber |
“No model we have tested has solved a new cyber range called "Doing Life", which is similar to “The Last Ones” but implements some basic cybersecurity defences.” source |
| Claude Mythos 5 Anthropic |
Government evaluator Government evaluator · 2026-06-09 |
Cooling Tower Cyber |
“[Claude Mythos 5] did not solve "Cooling Tower", an industrial control system range.” source |
| Claude Mythos 5 Anthropic |
Government evaluator Government evaluator · 2026-06-09 |
expert-level cyber tasks Cyber |
“On our expert-level cyber tasks, [Claude Mythos 5] performed comparably to Mythos Preview and ahead of GPT-5.5, the strongest fully public model tested.” source |
| Claude Mythos 5 Anthropic |
Government evaluator Government evaluator · 2026-06-09 |
narrow cyber tasks Cyber |
“We further assessed [Claude Mythos 5] against our narrow cyber tasks.” source |
| Claude Mythos 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
red-teaming of classifiers on a ransomware-creation task by 10a Labs Cyber |
“10a Labs spent about 20 hours red-teaming the classifiers on a ransomware-creation task using a variety of established jailbreaking techniques.” source |
| Claude Mythos 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
red-teaming exercise by ALICE Cyber |
“They found inconsistent blocking around marginal dual-use use-cases, but could not cause Opus 4.8 to complete any of the provided tasks.” source |
| Claude Mythos 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
Shade Prompt injection and agents |
“Mythos 5 had an attack success rate of 0.45% over all attempts, compared to 0.0% for Mythos Preview.” source |
| Claude Mythos 5 Anthropic |
Government evaluator Government evaluator · 2026-06-09 |
third-party testing by the UK AI Security Institute Deception and sabotage |
“We see this both in our own testing and in third-party testing by the UK AI Security Institute , though we do not find it fully novel or actively dangerous.” source |
| Claude Mythos 5 Anthropic |
UK AI Security Institute Government evaluator · 2026-06-09 |
evaluation awareness identification prompting Deception and sabotage |
“When prompted to try to identify evaluations, Mythos 5 can do so in many cases across both the AI Security Institute’s testing and our own .” source |
| Claude Mythos 5 Anthropic |
Government evaluator Government evaluator · 2026-06-09 |
open-ended testing of behaviors or risk factors related to misalignment Deception and sabotage |
“[Claude Mythos 5] does not compromise safety research in our unprompted evaluations, does not fully refuse to assist with safety research, and has a reduced number of partial refusals to assist with safety research compared to the other models.” source |
| Claude Mythos 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
Vending-Bench 2 Deception and sabotage |
“Andon Labs tested the behavior of Claude Fable 5 16 in their simulated Vending-Bench 2 (as reported in Section 8.17.6 ) and Vending-Bench Arena retail-management evaluations.” source |
| Claude Mythos 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
Vending-Bench Arena Deception and sabotage |
“When competing head-to-head against Claude Opus 4.8 and GPT-5.5 in Vending-Bench Arena, Fable 5 was the only model to initiate price collusion.” source |
| Claude Mythos 5 Anthropic |
Government evaluator Government evaluator · 2026-06-09 |
ControlARENA Deception and sabotage |
“We used two evaluations: a sabotage capability evaluation (ControlARENA) and an evaluation of the model’s ability to control its chain-of-thought.” source |
| Claude Mythos 5 Anthropic |
Government evaluator Government evaluator · 2026-06-09 |
CoT controllability evaluations from ‘Reasoning Models Struggle to Control their Chains of Thought’ Deception and sabotage |
“We ran the CoT controllability evaluations from ‘Reasoning Models Struggle to Control their Chains of Thought’<link>, restricted to the GPQA, HLE and MMLU Pro datasets, with max effort across all models.” source |
| Claude Mythos 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
CritPt Other |
“We use the independent evaluation run by Artificial Analysis via the CritPt grading API.” source |
| Claude Fable 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
METR external testing Autonomy and AI research |
“External testing from AI safety researchers at METR was consistent with this conclusion.” source |
| Claude Fable 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
external benchmark for prompt injection by Gray Swan Prompt injection and agents |
“Notably, Mythos 5 obtained the lowest—that is, best—result yet seen on an external benchmark for prompt injection by Gray Swan.” source |
| Claude Fable 5 Anthropic |
Independent lab Independent lab · 2026-06-09 |
external testing by METR Autonomy and AI research |
“External testing by METR, described in Section 2.3.8 , reached conclusions consistent with this determination.” source |