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 Sonnet 4.5 Anthropic |
ASL-3 Chemical, biological, radiological, nuclear |
Not determined | “Remained well below ASL-4 thresholds across all domains of concern;” source |
| Claude Sonnet 4.5 Anthropic |
ASL-4 rule-out Chemical, biological, radiological, nuclear |
Not determined | “However, given that this type of logic can have a general frog-boiling effect—where gradual changes mask the crossing of important thresholds—we do not use this evaluation as indicative of a strong ASL-4 rule-out.” source |
| Claude Sonnet 4.5 Anthropic |
ASL-3 Cyber |
Not determined | “Showed meaningful improvements in cyber capabilities, particularly in vulnerability discovery and code analysis;” source |
| Claude Sonnet 4 Anthropic |
ASL-3 Chemical, biological, radiological, nuclear |
Not determined | “specifically, we focused on ruling out asl-4 for both models, as well as ruling out asl-3 for claude sonnet 4.” source |
| Claude Sonnet 4 Anthropic |
ASL-4 Chemical, biological, radiological, nuclear |
Not determined | “specifically, we focused on ruling out asl-4 for both models, as well as ruling out asl-3 for claude sonnet 4.” source |
| Claude Sonnet 3.7 Anthropic |
ASL-4 Autonomy and AI research |
Not determined | “These problems are harder to solve than the previous problems and we consider them as part of our ASL-4 evaluations.” source |
| Claude Opus 4.6 Anthropic |
AI R&D-4 Autonomy and AI research |
Not reached | “Our determination is that Claude Opus 4.6 does not cross either the AI R&D-4 or the CBRN-4 capability threshold.” source |
| Claude Opus 4.6 Anthropic |
ASL-3 Chemical, biological, radiological, nuclear |
Not determined | “Claude Opus 4.6 achieved a “max of 5” score of 0.79 for virology task 1 (influenza), placing it at the ASL-3 rule-in threshold of 0.8.” source |
| Claude Opus 4.6 Anthropic |
ASL-4 Chemical, biological, radiological, nuclear |
Not reached | “Based on these findings and quantitative risk modeling, we estimate that the model’s uplift to relevant threat actors remains below the ASL-4 capability threshold, though it may reduce certain tacit-knowledge barriers and help speed up biological research workflows.” source |
| Claude Opus 4.6 Anthropic |
CBRN-4 Chemical, biological, radiological, nuclear |
Not reached | “Our determination is that Claude Opus 4.6 does not cross either the AI R&D-4 or the CBRN-4 capability threshold.” source |
| Claude Opus 4.5 Anthropic |
AI R&D-4 Autonomy and AI research |
Not reached | “Our determination is that Claude Opus 4.5 does not cross either the AI R&D-4 or CBRN-4 capability threshold.” source |
| Claude Opus 4.5 Anthropic |
CBRN-4 Chemical, biological, radiological, nuclear |
Not reached | “We determine that Claude Opus 4.5 does not cross the CBRN-4 threshold.” source |
| Claude Opus 4.1 Anthropic |
ASL-4 Autonomy and AI research |
Not reached | “Since Claude Opus 4.1 is deployed with ASL-3 protections, we focused on confirming it remains well below ASL-4 thresholds across CBRN (Chemical, Biological, Radiological, and Nuclear), cyber, and autonomy domains.” source |
| Claude Opus 4.1 Anthropic |
ASL-4 Chemical, biological, radiological, nuclear |
Not reached | “Since Claude Opus 4.1 is deployed with ASL-3 protections, we focused on confirming it remains well below ASL-4 thresholds across CBRN (Chemical, Biological, Radiological, and Nuclear), cyber, and autonomy domains.” source |
| Claude Opus 4.1 Anthropic |
ASL-4 Cyber |
Not reached | “Since Claude Opus 4.1 is deployed with ASL-3 protections, we focused on confirming it remains well below ASL-4 thresholds across CBRN (Chemical, Biological, Radiological, and Nuclear), cyber, and autonomy domains.” source |
| Claude Opus 4 Anthropic |
ASL-3 Chemical, biological, radiological, nuclear |
Not determined | “for claude opus 4, our evaluations showed that, whereas we could confidently rule out asl-4 capabilities, we could not conclusively rule out asl-3 capabilities—which led to our precautionary decision to deploy it with asl-3 protections .” source |
| Claude Opus 4 Anthropic |
ASL-4 Chemical, biological, radiological, nuclear |
Not reached | “for claude opus 4, our evaluations showed that, whereas we could confidently rule out asl-4 capabilities, we could not conclusively rule out asl-3 capabilities—which led to our precautionary decision to deploy it with asl-3 protections .” source |
| Claude Haiku 4.5 Anthropic |
ASL-3 Autonomy and AI research |
Not reached | “Our evaluation results showed that Claude Haiku 4.5 remained well below ASL-3 thresholds across all domains of concern.” source |
| Claude Haiku 4.5 Anthropic |
ASL-3 Chemical, biological, radiological, nuclear |
Not reached | “Our evaluation results showed that Claude Haiku 4.5 remained well below ASL-3 thresholds across all domains of concern.” source |
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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 |